Note: these predictions are provided purely for entertainment, and should not be used for gambling, decision making, or anything of consequence. Please let me know if you know if you notice any errors or irregularities.

Updated Friday Jan 19


How these predictions are made

Overall

2023 IFPA NACS Favorites
Chances of winning state finals
state Player (Seed) MP Rating WIN CHANCE
Alabama
Scott Mount (4)
Auburn, AL
1810 ± 78 38%
Alberta
John Kottmann (1)
Calgary, AB
1772 ± 65 25%
Arizona
Will McKinney (10)
Phoenix, AZ
1824 ± 78 26%
Arkansas
Mike Malone (5)
Fayetteville, AR
1714 ± 84 17%
British Columbia
Sara Little (2)
Vancouver, BC
1824 ± 67 36%
California
raymond ashby (5)
Los Angeles, CA
1859 ± 74 25%
Colorado
Walt Wood (1)
Englewood, CO
1906 ± 59 72%
Connecticut
Tyler Aas (1)
Vernon, CT
1712 ± 69 31%
Delaware
Jason Zahler (2)
Parts Unknown, NJ
1887 ± 73 61%
District of Columbia
David Barber (2)
Manassas, VA
1718 ± 82 27%
Florida
Eric Stone (1)
Fort Myers, FL
1955 ± 73 69%
Georgia
Dalton Ely (2)
Rockmart, GA
1872 ± 69 78%
Idaho
Xyren Silvers (11)
Boise, ID
1757 ± 84 48%
Illinois
Zach McCarthy (21)
Conifer, CO
1876 ± 74 30%
Indiana
Tommy Skinner (15)
Lafayette, IN
1781 ± 67 26%
Iowa
Sawyer Herweh (8)
Des Moines, IA
1785 ± 102 36%
Kansas
Phil Cridlebaugh (4)
Kansas City, KS
1830 ± 76 29%
Kentucky
Sean Davis (1)
Louisville, KY
1793 ± 80 39%
Louisiana
Allen Robertson (2)
Sour Lake, TX
1711 ± 100 37%
Maine
Daniel Rone (6)
Revere, MA
1763 ± 53 39%
Manitoba
Drew Sych (1)
Winnipeg, MB
1778 ± 67 45%
Maryland
Douglas M Malcolm (4)
Chevy Chase, MD
1803 ± 74 32%
Massachusetts
Bowen Kerins (8)
Salem, MA
1865 ± 67 64%
Michigan
Alex Harmon (6)
Spring Lake, MI
1811 ± 94 21%
Minnesota
Mark Larson (9)
Parts Unknown, Earth
1839 ± 76 42%
Mississippi
Nick Mueller (10)
Parts Unknown, FL
1798 ± 86 53%
Missouri
John Miller MO (1)
St. Louis, MO
1824 ± 67 33%
Montana
John Carls (2)
Missoula, MT
1716 ± 65 51%
Nebraska
Tiler Hall (3)
Omaha, NE
1811 ± 100 47%
Nevada
Steve Strom (6)
Las Vegas, NV
1818 ± 73 39%
New Brunswick
Chris Yuill (2)
Fredericton, NB
1629 ± 106 24%
New Hampshire
Brian O'Neill NH (1)
Portsmouth, NH
1734 ± 53 38%
New Jersey
Anthony Lambos Jr (1)
Hamburg, NJ
1814 ± 57 71%
New Mexico
Matt Wilson (6)
Evanston, IL
1750 ± 80 22%
New York
Dante Oliva (9)
Raleigh, NC
1842 ± 82 46%
North Carolina
Drew Cedolia (4)
Greensboro, NC
1890 ± 84 44%
North Dakota
Brett Wollschlaeger (4)
Parts Unknown, ND
1753 ± 129 50%
Nova Scotia
Riley MacDonald (1)
Parts Unknown, NS
1721 ± 112 45%
Ohio
Stephen Prusa (2)
Cleveland, OH
1894 ± 59 45%
Oklahoma
Travis Murie (10)
Oklahoma City, OK
1809 ± 71 22%
Ontario
Mike Savage (1)
Toronto, ON
1758 ± 61 36%
Oregon
Colin Urban (5)
Portland, OR
1877 ± 76 53%
Pennsylvania
Lewis Bevans (6)
Pittsburgh, PA
1831 ± 65 35%
Quebec
Ben Dowie (3)
Montreal, QC
1751 ± 100 32%
Rhode Island
Nick DeStefano (6)
Holliston, MA
1772 ± 74 25%
Saskatchewan
Shaun Amos (1)
Regina, SK
1815 ± 76 53%
South Carolina
Nate Grant (1)
Pelzer, SC
1809 ± 71 38%
South Dakota
Dan Dolney (1)
Sioux Falls, SD
1803 ± 84 49%
Tennessee
matt majewski (6)
Nashville, TN
1767 ± 65 20%
Texas
Colin MacAlpine (14)
Austin, TX
1891 ± 80 19%
Utah
Marc Jackson (5)
South Jordan, UT
1784 ± 69 35%
Vermont
Carter Casselman (9)
Ottawa, ON
1728 ± 88 34%
Virginia
Bryan Henson (4)
Sterling, VA
1845 ± 98 33%
Washington
Jarrett Gaddy (5)
Seattle, WA
1800 ± 61 18%
West Virginia
Aaron Metz (3)
Beckley, WV
1794 ± 141 61%
Wisconsin
Luke Nahorniak (1)
Lonsdale, MN
1808 ± 49 20%

By state/province

ALABAMA

2023 IFPA NACS Predictions: ALABAMA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
4
Auburn, AL
1810 ± 78 81% 72% 51% 38%
3
Parts Unknown, Earth
1750 ± 73 94% 74% 50% 22%
1
Auburn, AL
1767 ± 59 86% 60% 28% 18%
7
Hoover, AL
1710 ± 84 84% 52% 25% 8%
8
Parts Unknown, Earth
1717 ± 92 82% 34% 11% 5%
2
Birmingham, AL
1677 ± 76 56% 26% 10% 2%
13
Birmingham, AL
1694 ± 94 19% 12% 5% 2%
6
Huntsville, AL
1663 ± 63 70% 20% 8% 2%
5
Birmingham, AL
1666 ± 80 79% 14% 4% 2%
15
Birmingham, AL
1658 ± 88 44% 18% 6% 1%
16
Birmingham, AL
1625 ± 82 14% 4% <1% <1%
11
Birmingham, AL
1596 ± 74 30% 5% 1% <1%
10
Auburn, AL
1581 ± 61 16% 4% <1% <1%
9
Parts Unknown, AL
1593 ± 69 18% 3% <1% <1%
14
Meridianville, AL
1546 ± 74 6% 1% <1% <1%
12
Meridianville, AL
1562 ± 78 21% 1% <1% <1%

ALBERTA

2023 IFPA NACS Predictions: ALBERTA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Calgary, AB
1772 ± 65 100% 89% 65% 39% 25%
2
Edmonton, AB
1754 ± 69 100% 80% 61% 41% 21%
4
Calgary, AB
1768 ± 74 100% 83% 57% 32% 21%
3
Edmonton, AB
1709 ± 84 100% 65% 34% 16% 6%
8
Calgary, AB
1716 ± 67 100% 71% 26% 12% 6%
5
Chestermere, AB
1716 ± 63 100% 59% 23% 9% 5%
6
Edmonton, AB
1699 ± 61 100% 51% 26% 11% 4%
11
Edmonton, AB
1706 ± 90 58% 30% 16% 8% 3%
10
Calgary, AB
1687 ± 61 59% 39% 14% 7% 2%
12
Edmonton, AB
1704 ± 82 67% 31% 11% 4% 2%
14
Calgary, AB
1674 ± 76 60% 23% 10% 4% 1%
22
Parts Unknown, Earth
1680 ± 104 42% 19% 9% 4% <1%
23
Calgary, AB
1658 ± 67 41% 23% 7% 3% <1%
7
Calgary, AB
1633 ± 59 100% 38% 9% 3% <1%
13
Calgary, AB
1666 ± 65 74% 15% 6% 2% <1%
9
Edmonton, AB
1661 ± 82 68% 23% 5% 2% <1%
15
Edmonton, AB
1647 ± 94 51% 10% 5% 2% <1%
18
Calgary, AB
1647 ± 69 49% 9% 4% 2% <1%
21
Parts Unknown, Earth
1648 ± 71 33% 11% 2% <1% <1%
19
Sherwood Park, AB
1640 ± 90 40% 12% 4% 1% <1%
16
Edmonton, AB
1625 ± 84 62% 8% 2% <1% <1%
24
Edson, AB
1601 ± 96 32% 6% <1% <1% <1%
20
Sherwood Park, AB
1585 ± 65 26% 2% <1% <1% <1%
17
Edmonton, AB
1585 ± 94 38% 3% <1% <1% <1%

ARIZONA

2023 IFPA NACS Predictions: ARIZONA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
10
Phoenix, AZ
1824 ± 78 99% 84% 57% 36% 26%
1
Parts Unknown, AZ
1791 ± 61 100% 74% 55% 43% 21%
3
Mesa, AZ
1795 ± 57 100% 85% 49% 24% 16%
2
Phoenix, AZ
1786 ± 53 100% 79% 35% 18% 11%
6
Phoenix, AZ
1772 ± 67 100% 54% 26% 11% 7%
22
Marana, AZ
1778 ± 55 79% 41% 21% 9% 6%
4
Phoenix, AZ
1714 ± 61 100% 69% 43% 16% 4%
12
Parts Unknown, Earth
1709 ± 61 70% 51% 27% 10% 2%
24
Tucson, AZ
1720 ± 55 54% 32% 12% 7% 2%
8
Chandler, AZ
1694 ± 57 100% 44% 13% 6% 1%
9
Phoenix, AZ
1711 ± 63 46% 25% 8% 4% 1%
17
Mesa, AZ
1710 ± 65 53% 14% 7% 4% <1%
16
Surprise, AZ
1699 ± 86 47% 12% 6% 3% <1%
7
Mesa, AZ
1689 ± 53 100% 16% 5% 1% <1%
13
Phoenix, AZ
1666 ± 61 72% 26% 12% 3% <1%
15
Parts Unknown, Earth
1695 ± 59 58% 14% 3% <1% <1%
5
Gilbert, AZ
1640 ± 51 100% 34% 11% 2% <1%
21
Chandler, AZ
1644 ± 63 30% 15% 5% <1% <1%
11
Tempe, AZ
1674 ± 67 21% 5% 1% <1% <1%
18
Phoenix, AZ
1671 ± 57 42% 8% 1% <1% <1%
14
Phoenix, AZ
1646 ± 57 43% 5% 1% <1% <1%
19
Chandler, AZ
1668 ± 57 57% 10% 2% <1% <1%
20
Parts Unknown, Earth
1593 ± 49 28% 5% 1% <1% <1%
23
Phoenix, AZ
1500 ± 294 1% <1% <1% <1% <1%

ARKANSAS

2023 IFPA NACS Predictions: ARKANSAS
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
5
Fayetteville, AR
1714 ± 84 82% 49% 27% 17%
8
Hot Springs, AR
1722 ± 98 55% 39% 23% 15%
9
Parts Unknown, Earth
1708 ± 69 45% 31% 17% 11%
2
Springdale, AR
1679 ± 84 80% 45% 23% 10%
3
Fayetteville, AR
1676 ± 78 78% 40% 22% 9%
4
Fayetteville, AR
1694 ± 78 61% 30% 15% 9%
7
Fayetteville, AR
1675 ± 71 68% 38% 19% 8%
6
Fayetteville, AR
1677 ± 80 54% 31% 17% 7%
1
Parts Unknown, AR
1661 ± 78 78% 27% 11% 5%
11
Parts Unknown, Earth
1665 ± 88 46% 24% 12% 5%
13
Conway, AR
1657 ± 90 39% 15% 6% 3%
10
Coal Hill, AR
1614 ± 98 32% 12% 4% <1%
14
Bentonville, AR
1574 ± 73 22% 5% 1% <1%
12
Fayetteville, AR
1599 ± 69 18% 5% 1% <1%
15
Hope, AR
1571 ± 78 20% 5% 1% <1%
16
Parts Unknown, AR
1560 ± 96 22% 3% <1% <1%

BRITISH COLUMBIA

2023 IFPA NACS Predictions: BRITISH COLUMBIA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Vancouver, BC
1824 ± 67 100% 83% 78% 55% 36%
4
Port Coquitlam, BC
1808 ± 78 100% 86% 54% 42% 23%
6
Burnaby, BC
1780 ± 86 100% 83% 58% 27% 14%
5
Port Moody, BC
1781 ± 51 100% 69% 32% 22% 11%
1
Vancouver, BC
1740 ± 86 100% 58% 41% 15% 5%
16
Victoria, BC
1732 ± 108 65% 31% 21% 7% 3%
3
Nanaimo, BC
1711 ± 69 100% 55% 20% 6% 2%
12
Vancouver, BC
1734 ± 59 67% 24% 8% 5% 2%
19
Parts Unknown, BC
1716 ± 92 73% 38% 14% 4% 1%
18
Vancouver, BC
1714 ± 67 71% 14% 11% 4% 1%
8
Vancouver, Earth
1675 ± 61 100% 52% 17% 4% <1%
9
Parts Unknown, BC
1687 ± 82 72% 39% 14% 3% <1%
20
Burnaby, BC
1683 ± 55 70% 12% 4% 2% <1%
11
Victoria, BC
1664 ± 63 87% 16% 6% 1% <1%
10
North Saanich, BC
1632 ± 76 58% 33% 4% <1% <1%
17
Vancouver, BC
1679 ± 94 35% 11% 6% 1% <1%
21
Burnaby, BC
1677 ± 71 33% 7% 1% <1% <1%
15
Coquitlam, BC
1643 ± 65 29% 3% 1% <1% <1%
7
Parts Unknown, Earth
1611 ± 71 100% 47% 4% <1% <1%
14
North Saanich, BC
1635 ± 76 27% 8% 2% <1% <1%
23
Victoria, BC
1606 ± 78 42% 20% 2% <1% <1%
13
Victoria, BC
1617 ± 67 30% 2% <1% <1% <1%
24
Nanaimo, BC
1613 ± 69 28% 9% 2% <1% <1%
22
Vancouver, BC
1500 ± 294 13% <1% <1% <1% <1%

CALIFORNIA

2023 IFPA NACS Predictions: CALIFORNIA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
5
Los Angeles, CA
1859 ± 74 100% 66% 55% 44% 25%
3
San Francisco, CA
1850 ± 67 100% 91% 59% 32% 20%
7
Parts Unknown, CO
1862 ± 71 100% 63% 41% 24% 16%
15
Fontana, CA
1843 ± 78 86% 69% 34% 18% 10%
6
Glendora, CA
1817 ± 67 100% 72% 32% 14% 7%
12
San Diego, CA
1821 ± 63 80% 31% 24% 16% 7%
8
Davis, CA
1768 ± 71 100% 53% 30% 10% 3%
23
Lakewood, CA
1822 ± 65 56% 21% 11% 5% 3%
1
Sunnyvale, CA
1756 ± 61 100% 58% 28% 9% 2%
10
Murrieta, CA
1807 ± 71 44% 15% 8% 3% 2%
9
Hacienda Heights, CA
1759 ± 73 52% 25% 14% 4% 1%
4
Parts Unknown, CA
1736 ± 55 100% 53% 11% 5% 1%
24
San Diego, CA
1755 ± 78 48% 23% 12% 4% <1%
11
Berkeley, CA
1757 ± 71 83% 26% 7% 2% <1%
16
Sunnyvale, CA
1737 ± 55 55% 24% 10% 3% <1%
20
Carmel-by-the-Sea, CA
1728 ± 57 49% 23% 4% 2% <1%
13
Irvine, CA
1730 ± 51 51% 24% 5% 2% <1%
2
Oakland, CA
1732 ± 69 100% 25% 5% 1% <1%
17
San Francisco, CA
1722 ± 67 45% 18% 6% 2% <1%
21
Oakland, CA
1716 ± 73 20% 3% 1% <1% <1%
18
Lake Forest, CA
1708 ± 55 14% 6% <1% <1% <1%
14
Salinas, CA
1672 ± 57 49% 4% <1% <1% <1%
19
Parts Unknown, CA
1671 ± 53 51% 5% <1% <1% <1%
22
Aliso Viejo, CA
1631 ± 53 17% 1% <1% <1% <1%

COLORADO

2023 IFPA NACS Predictions: COLORADO
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Englewood, CO
1906 ± 59 100% 95% 88% 84% 72%
3
Lakewood, CO
1804 ± 69 100% 81% 58% 37% 11%
15
Denver, CO
1779 ± 82 78% 52% 32% 17% 5%
7
Boulder, CO
1762 ± 82 100% 84% 44% 20% 4%
6
Denver, CO
1746 ± 74 100% 82% 32% 15% 2%
8
Englewood, CO
1725 ± 78 100% 65% 7% 4% 2%
2
Denver, CO
1723 ± 65 100% 39% 18% 6% <1%
21
Denver, CO
1698 ± 100 72% 37% 21% 2% <1%
5
Parts Unknown, CO
1691 ± 71 100% 54% 31% 3% <1%
17
Conifer, CO
1709 ± 80 76% 5% 3% 1% <1%
4
Denver, CO
1682 ± 73 100% 60% 29% 2% <1%
14
Boulder, CO
1707 ± 94 72% 17% 7% 3% <1%
9
Denver, CO
1690 ± 65 83% 33% 2% 1% <1%
13
Portland, OR
1655 ± 80 54% 22% 9% <1% <1%
18
Louisville, KY
1682 ± 78 22% 8% 3% <1% <1%
20
Denver, CO
1644 ± 71 46% 18% 7% <1% <1%
22
Northglenn, CO
1624 ± 63 48% 8% 1% <1% <1%
11
Denver, CO
1633 ± 61 52% 10% 1% <1% <1%
23
Parts Unknown, CO
1637 ± 65 51% 8% 2% <1% <1%
10
Aurora, CO
1632 ± 67 49% 7% 1% <1% <1%
24
Denver, CO
1571 ± 82 17% 2% <1% <1% <1%
12
Boulder, CO
1625 ± 69 28% 9% 3% <1% <1%
19
Denver, CO
1632 ± 61 28% 3% <1% <1% <1%
16
Denver, CO
1616 ± 78 24% <1% <1% <1% <1%

CONNECTICUT

2023 IFPA NACS Predictions: CONNECTICUT
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Vernon, CT
1712 ± 69 79% 60% 45% 31%
2
Parts Unknown, CT
1687 ± 74 76% 61% 41% 23%
14
Monroe, CT
1646 ± 102 52% 32% 16% 7%
5
North Stonington, CT
1637 ± 67 66% 38% 15% 7%
4
Parts Unknown, Earth
1634 ± 84 70% 37% 14% 6%
3
Watertown, CT
1639 ± 63 48% 29% 14% 6%
9
Meriden, CT
1633 ± 67 57% 19% 10% 5%
11
West Hartford, CT
1610 ± 61 51% 20% 8% 3%
6
New Haven, CT
1606 ± 67 49% 19% 7% 2%
8
Parts Unknown, Earth
1610 ± 78 43% 12% 6% 2%
15
Parts Unknown, CT
1597 ± 80 24% 14% 5% 2%
16
Parts Unknown, Earth
1605 ± 92 21% 9% 4% 2%
7
Parts Unknown, CT
1582 ± 71 52% 13% 5% 1%
12
Parts Unknown, CT
1584 ± 80 34% 15% 4% 1%
10
Hamden, CT
1577 ± 84 48% 12% 4% 1%
13
Wallingford, CT
1566 ± 74 30% 10% 2% <1%

DELAWARE

2023 IFPA NACS Predictions: DELAWARE
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Parts Unknown, NJ
1887 ± 73 94% 90% 72% 61%
1
Medford, NJ
1789 ± 63 96% 76% 54% 16%
3
Parts Unknown, NY
1803 ± 65 88% 68% 21% 14%
4
Cinnaminson, NJ
1742 ± 71 84% 56% 25% 5%
6
Parts Unknown, NJ
1721 ± 63 80% 26% 4% 1%
5
Parts Unknown, DE
1699 ± 63 66% 29% 9% 1%
8
Pitman, NJ
1693 ± 67 57% 14% 6% <1%
9
Parts Unknown, Earth
1672 ± 63 43% 9% 3% <1%
15
Parts Unknown, PA
1680 ± 69 6% 4% 1% <1%
12
Parts Unknown, PA
1649 ± 59 34% 11% 2% <1%
7
Wilmington, DE
1665 ± 59 58% 4% <1% <1%
10
Milford, DE
1641 ± 63 42% 2% <1% <1%
14
Philadelphia, PA
1652 ± 63 12% 4% <1% <1%
13
Exton, PA
1612 ± 55 16% 5% <1% <1%
11
Montross, VA
1611 ± 61 20% 2% <1% <1%
16
Parts Unknown, DE
1567 ± 57 4% <1% <1% <1%

DISTRICT OF COLUMBIA

2023 IFPA NACS Predictions: DISTRICT OF COLUMBIA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Manassas, VA
1718 ± 82 93% 67% 45% 27%
1
Washington, DC
1716 ± 74 79% 67% 44% 26%
3
Washington, DC
1693 ± 88 77% 54% 26% 14%
4
Washington, DC
1684 ± 88 52% 35% 18% 9%
13
Barboursville, VA
1679 ± 80 48% 31% 16% 7%
7
Washington, DC
1661 ± 104 65% 23% 12% 5%
11
Washington, DC
1640 ± 80 64% 26% 9% 3%
12
Alexandria, VA
1634 ± 61 55% 20% 7% 2%
8
Parts Unknown, Earth
1603 ± 78 68% 17% 6% 1%
5
Washington, DC
1619 ± 78 45% 14% 5% 1%
16
Washington, DC
1608 ± 135 21% 12% 4% 1%
10
Washington, DC
1611 ± 102 35% 9% 3% <1%
14
Silver Spring, MD
1596 ± 98 23% 9% 2% <1%
6
Silver Spring, MD
1594 ± 92 36% 10% 2% <1%
9
Washington, DC
1543 ± 82 32% 4% <1% <1%
15
Parts Unknown, MD
1532 ± 65 7% 1% <1% <1%

FLORIDA

2023 IFPA NACS Predictions: FLORIDA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Fort Myers, FL
1955 ± 73 100% 97% 90% 81% 69%
2
Orange Park, FL
1840 ± 65 100% 91% 81% 65% 18%
4
Parts Unknown, Earth
1812 ± 82 100% 82% 62% 12% 6%
6
St. Petersburg, FL
1755 ± 96 100% 74% 49% 17% 2%
8
Oviedo, FL
1772 ± 88 100% 84% 9% 4% 2%
3
Fort Lauderdale, FL
1719 ± 59 100% 74% 33% 8% <1%
12
St Augustine, FL
1730 ± 94 91% 52% 17% 1% <1%
10
Temple Terrace, FL
1697 ± 61 75% 44% 8% 3% <1%
5
Lakeland, FL
1709 ± 69 100% 47% 13% <1% <1%
11
Tampa, FL
1688 ± 57 63% 18% 9% 2% <1%
16
Parkland, FL
1718 ± 123 76% 3% 1% <1% <1%
7
Winter Springs, FL
1670 ± 74 100% 47% 7% 2% <1%
14
Titusville, FL
1655 ± 80 83% 25% 7% <1% <1%
15
Lake Mary, FL
1672 ± 80 82% 8% 4% 1% <1%
20
Valdosta, GA
1705 ± 76 59% 12% 5% <1% <1%
13
Orange Park, FL
1674 ± 63 41% 6% 2% <1% <1%
9
Lake Mary, FL
1643 ± 82 53% 9% <1% <1% <1%
22
St. Petersburg, FL
1650 ± 67 37% 8% 3% <1% <1%
23
Parts Unknown, Earth
1613 ± 61 25% 8% <1% <1% <1%
17
Jacksonville, FL
1626 ± 78 24% <1% <1% <1% <1%
19
Orange Park, FL
1528 ± 59 17% 1% <1% <1% <1%
24
Ocala, FL
1635 ± 65 47% 7% <1% <1% <1%
18
Callahan, FL
1555 ± 80 18% <1% <1% <1% <1%
21
Coral Springs, FL
1550 ± 55 9% 1% <1% <1% <1%

GEORGIA

2023 IFPA NACS Predictions: GEORGIA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Rockmart, GA
1872 ± 69 100% 97% 95% 89% 78%
4
Parts Unknown, Earth
1751 ± 69 100% 66% 56% 41% 10%
1
Parts Unknown, Earth
1701 ± 71 100% 80% 67% 31% 5%
3
Atlanta, GA
1699 ± 59 100% 63% 44% 6% 3%
20
Auburn, AL
1696 ± 74 49% 17% 12% 7% 1%
13
Savannah, GA
1699 ± 74 51% 17% 13% 8% 1%
19
Atlanta, GA
1675 ± 94 82% 35% 23% 2% <1%
6
Tybee Island, GA
1646 ± 69 100% 74% 27% 2% <1%
21
DeLand, FL
1639 ± 61 57% 35% 8% 4% <1%
7
Chattanooga, TN
1610 ± 67 100% 61% 2% <1% <1%
5
Atlanta, GA
1598 ± 63 100% 41% 6% 2% <1%
18
Savannah, GA
1629 ± 69 68% 2% 1% <1% <1%
12
Decatur, GA
1616 ± 80 43% 24% 4% 2% <1%
9
Atlanta, GA
1591 ± 94 63% 35% 9% 2% <1%
8
McDonough, GA
1573 ± 92 100% 49% 10% 2% <1%
10
Marietta, GA
1590 ± 78 60% 26% <1% <1% <1%
16
Atlanta, GA
1596 ± 65 54% 11% 7% 1% <1%
17
Atlanta, GA
1583 ± 100 46% 9% 4% <1% <1%
24
Roswell, GA
1548 ± 67 37% 16% 3% <1% <1%
23
Decatur, GA
1556 ± 76 40% 13% <1% <1% <1%
22
Decatur, GA
1552 ± 86 42% 10% 1% <1% <1%
11
Atlanta, GA
1576 ± 63 58% 17% 3% <1% <1%
15
Atlanta, GA
1568 ± 63 32% <1% <1% <1% <1%
14
Marietta, GA
1553 ± 63 18% 2% <1% <1% <1%

IDAHO

2023 IFPA NACS Predictions: IDAHO
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
11
Boise, ID
1757 ± 84 91% 80% 69% 48%
1
Boise, ID
1725 ± 65 96% 75% 62% 33%
2
Boise, ID
1637 ± 65 87% 61% 16% 6%
5
Nampa, ID
1631 ± 61 69% 46% 15% 4%
8
Boise, ID
1639 ± 74 66% 19% 11% 3%
14
Boise, ID
1610 ± 71 54% 9% 5% 1%
4
Boise, ID
1588 ± 61 61% 26% 6% 1%
7
Boise, ID
1582 ± 67 59% 23% 4% <1%
3
Meridian, ID
1599 ± 65 46% 7% 3% <1%
12
Boise, ID
1567 ± 73 31% 14% 3% <1%
9
Parts Unknown, ID
1583 ± 65 34% 5% 2% <1%
6
Boise, ID
1579 ± 71 9% 4% 2% <1%
10
Boise, ID
1551 ± 63 41% 13% 1% <1%
13
Parts Unknown, Earth
1553 ± 71 39% 13% 2% <1%
15
Boise, ID
1492 ± 63 13% 3% <1% <1%
16
Boise, ID
1484 ± 67 4% <1% <1% <1%

ILLINOIS

2023 IFPA NACS Predictions: ILLINOIS
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
21
Conifer, CO
1876 ± 74 90% 82% 71% 46% 30%
1
Elgin, IL
1855 ± 71 100% 88% 71% 40% 24%
23
Chicago, IL
1860 ± 122 82% 73% 49% 35% 19%
2
Elk Grove Village, IL
1823 ± 65 100% 80% 39% 26% 11%
11
Seattle, WA
1811 ± 92 85% 79% 63% 28% 11%
9
Parts Unknown, Earth
1771 ± 78 71% 47% 14% 5% 2%
4
Des Plaines, IL
1734 ± 110 100% 65% 15% 4% <1%
3
Parts Unknown, Earth
1705 ± 69 100% 55% 16% 3% <1%
8
Chicago, IL
1715 ± 80 100% 40% 8% 2% <1%
10
Chicago, IL
1741 ± 61 18% 11% 4% 2% <1%
14
Chicago, IL
1708 ± 78 79% 41% 13% 3% <1%
15
Chicago, IL
1721 ± 59 94% 20% 5% 2% <1%
5
Parts Unknown, Earth
1703 ± 59 100% 13% 6% 1% <1%
17
Chicago, IL
1717 ± 92 67% 10% 5% 1% <1%
20
Lansing, IL
1704 ± 76 70% 28% 5% 1% <1%
7
Oaklawn, IL
1703 ± 55 100% 16% 4% 1% <1%
12
Parts Unknown, IL
1711 ± 71 10% 5% 2% <1% <1%
22
Downers Grove, IL
1676 ± 53 15% 11% 5% <1% <1%
24
Mackinaw, IL
1698 ± 59 29% 12% 2% <1% <1%
6
Parts Unknown, IL
1614 ± 61 100% 10% 3% <1% <1%
13
Ferguson, MO
1639 ± 67 30% 7% <1% <1% <1%
16
Edwardsville, IL
1659 ± 69 33% 2% <1% <1% <1%
19
Chicago, IL
1604 ± 61 21% 5% <1% <1% <1%
18
Moro, IL
1500 ± 294 6% <1% <1% <1% <1%

INDIANA

2023 IFPA NACS Predictions: INDIANA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
15
Lafayette, IN
1781 ± 67 84% 64% 47% 37% 26%
8
Fishers, IN
1747 ± 55 100% 70% 39% 27% 15%
1
Martinsville, IN
1741 ± 51 100% 58% 31% 22% 12%
23
Indianapolis, IN
1734 ± 55 70% 59% 27% 19% 10%
14
Indianapolis, IN
1715 ± 65 65% 44% 31% 13% 6%
20
Crown Point, IN
1704 ± 57 68% 50% 30% 12% 5%
17
Pittsboro, IN
1729 ± 61 65% 30% 15% 10% 5%
2
Bluffton, IN
1691 ± 51 100% 30% 15% 8% 4%
21
Fort Wayne, IN
1685 ± 71 50% 30% 17% 6% 2%
12
Fort Wayne, IN
1683 ± 59 50% 30% 16% 6% 2%
6
Fort Wayne, IN
1655 ± 49 100% 57% 23% 6% 2%
3
Fort Wayne, IN
1657 ± 53 100% 37% 20% 5% 2%
9
Indianapolis, IN
1682 ± 53 49% 15% 6% 3% 1%
24
Parts Unknown, Earth
1680 ± 65 51% 15% 5% 3% 1%
5
Kendallville, IN
1646 ± 53 100% 39% 17% 4% 1%
19
Fort Wayne, IN
1667 ± 57 35% 19% 11% 3% 1%
10
Ligonier, IN
1667 ± 53 30% 20% 6% 3% <1%
16
Logansport, IN
1680 ± 61 35% 11% 4% 2% <1%
11
Fort Wayne, IN
1645 ± 53 59% 28% 10% 3% <1%
4
Columbia City, IN
1625 ± 73 100% 33% 12% 3% <1%
13
Fort Wayne, IN
1643 ± 57 32% 18% 7% 2% <1%
22
Fort Wayne, IN
1618 ± 69 41% 15% 5% 1% <1%
7
Fort Wayne, IN
1613 ± 53 100% 22% 4% 1% <1%
18
La Porte, IN
1652 ± 53 16% 6% 2% <1% <1%

IOWA

2023 IFPA NACS Predictions: IOWA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
8
Des Moines, IA
1785 ± 102 79% 59% 51% 36%
15
Omaha, NE
1759 ± 88 75% 55% 41% 24%
3
Parts Unknown, Earth
1700 ± 76 85% 60% 27% 11%
1
Parts Unknown, IA
1717 ± 63 72% 26% 19% 10%
13
Iowa City, IA
1674 ± 80 67% 45% 12% 5%
10
Ankeny, IA
1680 ± 110 54% 18% 9% 4%
9
West Des Moines, IA
1678 ± 92 21% 9% 6% 3%
7
Parts Unknown, Earth
1673 ± 71 46% 15% 7% 2%
2
Saskatoon, SK
1670 ± 82 25% 11% 5% 2%
5
Madison, WI
1628 ± 51 58% 25% 5% 1%
6
Muscatine, IA
1636 ± 82 54% 21% 5% 1%
11
Dorchester, IA
1622 ± 71 46% 15% 4% <1%
16
Ames, IA
1640 ± 63 28% 5% 3% <1%
4
Iowa City, IA
1617 ± 63 33% 16% 3% <1%
12
Peosta, IA
1600 ± 63 42% 14% 2% <1%
14
Monticello, IA
1565 ± 76 15% 5% <1% <1%

KANSAS

2023 IFPA NACS Predictions: KANSAS
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
4
Kansas City, KS
1830 ± 76 81% 69% 47% 29%
2
Wichita, KS
1800 ± 90 92% 65% 37% 19%
1
Overland Park, KS
1794 ± 76 91% 69% 35% 19%
3
Olathe, KS
1807 ± 90 80% 59% 35% 18%
7
Wichita, KS
1748 ± 82 73% 28% 12% 4%
6
Overland Park, KS
1743 ± 63 77% 29% 12% 4%
8
Parkville, MO
1720 ± 73 79% 26% 8% 3%
5
Wichita, KS
1703 ± 63 59% 13% 4% 1%
13
Kansas City, MO
1718 ± 74 19% 11% 4% 1%
14
Kansas City, KS
1700 ± 69 20% 8% 2% <1%
12
Bates City, MO
1673 ± 71 41% 7% 2% <1%
10
El Dorado, KS
1671 ± 57 27% 6% 1% <1%
11
Parts Unknown, KS
1644 ± 69 23% 3% <1% <1%
9
Wichita, KS
1614 ± 71 21% 2% <1% <1%
15
Wichita, KS
1607 ± 73 8% 1% <1% <1%
16
Wichita, KS
1620 ± 65 9% 3% <1% <1%

KENTUCKY

2023 IFPA NACS Predictions: KENTUCKY
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Louisville, KY
1793 ± 80 91% 78% 64% 39%
2
Parts Unknown, Earth
1781 ± 80 84% 70% 42% 24%
3
Louisville, KY
1777 ± 73 69% 47% 28% 16%
11
Springville, IN
1733 ± 53 79% 34% 16% 7%
4
New Albany, IN
1705 ± 69 66% 42% 14% 5%
14
Independence, KY
1714 ± 74 31% 16% 7% 3%
5
Louisville, KY
1663 ± 73 54% 23% 5% 1%
8
Louisville, KY
1660 ± 65 57% 11% 5% <1%
7
Paris, KY
1658 ± 69 56% 13% 3% <1%
12
Maysville, KY
1651 ± 104 46% 18% 4% <1%
13
Sellersburg, IN
1651 ± 96 34% 16% 3% <1%
9
Louisville, KY
1638 ± 63 43% 7% 3% <1%
15
Burlington, KY
1656 ± 61 16% 8% 2% <1%
10
Columbia, SC
1640 ± 92 44% 8% 2% <1%
16
Louisville, KY
1623 ± 73 9% 4% 1% <1%
6
Louisville, KY
1626 ± 73 21% 3% <1% <1%

LOUISIANA

2023 IFPA NACS Predictions: LOUISIANA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Sour Lake, TX
1711 ± 100 97% 80% 51% 37%
3
Lake Charles, LA
1699 ± 108 81% 69% 37% 25%
5
Parts Unknown, LA
1656 ± 73 86% 66% 41% 16%
1
Lake Charles, LA
1646 ± 71 84% 68% 38% 14%
4
Parts Unknown, LA
1580 ± 131 73% 25% 10% 2%
10
Leesville, LA
1588 ± 108 53% 10% 3% 1%
14
Monroe, LA
1579 ± 239 19% 11% 2% 1%
7
Lake Charles, LA
1575 ± 165 47% 9% 3% <1%
8
Parks, LA
1547 ± 118 63% 19% 5% <1%
6
Houma, LA
1563 ± 245 55% 12% 2% <1%
11
Baton Rouge, LA
1547 ± 118 45% 8% 1% <1%
9
New Orleans, LA
1500 ± 294 37% 7% 2% <1%
12
New Orleans, LA
1500 ± 294 14% 5% 1% <1%
16
Hammond, LA
1500 ± 294 16% 6% 1% <1%
13
Parts Unknown, Earth
1498 ± 112 27% 4% <1% <1%
15
Parts Unknown, LA
1466 ± 106 3% <1% <1% <1%

MAINE

2023 IFPA NACS Predictions: MAINE
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
6
Revere, MA
1763 ± 53 95% 74% 51% 39%
2
Portland, ME
1728 ± 55 85% 70% 33% 23%
12
Austin, TX
1684 ± 94 78% 55% 31% 11%
1
Parts Unknown, ME
1691 ± 59 71% 46% 28% 11%
3
Portland, ME
1683 ± 71 81% 24% 11% 6%
9
Portland, ME
1651 ± 78 58% 25% 12% 3%
4
Portland, ME
1631 ± 71 76% 32% 13% 3%
8
Brunswick, ME
1625 ± 88 42% 16% 7% 1%
10
Portland, ME
1623 ± 100 66% 17% 4% 1%
16
Portland, OR
1621 ± 69 29% 13% 5% 1%
5
Parts Unknown, Earth
1583 ± 71 22% 9% 3% <1%
7
Parts Unknown, Earth
1570 ± 71 34% 6% <1% <1%
15
Portland, ME
1595 ± 88 15% 7% <1% <1%
14
Portland, ME
1567 ± 88 19% 2% <1% <1%
13
Parts Unknown, Earth
1540 ± 86 24% 4% <1% <1%
11
Westbrook, ME
1544 ± 94 5% 1% <1% <1%

MANITOBA

2023 IFPA NACS Predictions: MANITOBA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Winnipeg, MB
1778 ± 67 94% 75% 66% 45%
3
Winnipeg, MB
1748 ± 80 93% 79% 55% 29%
2
Winnipeg, MB
1705 ± 73 87% 62% 28% 12%
8
Big Black River, MB
1679 ± 92 61% 16% 11% 4%
4
Winnipeg, MB
1654 ± 84 73% 53% 12% 4%
7
Winnipeg, MB
1646 ± 69 67% 26% 8% 2%
6
Winnipeg, MB
1628 ± 86 72% 15% 6% 1%
9
Winnipeg, MB
1643 ± 100 39% 7% 4% 1%
5
Winnipeg, MB
1588 ± 88 55% 20% 3% <1%
12
Winnipeg, MB
1573 ± 78 45% 14% 2% <1%
13
Parts Unknown, MB
1574 ± 82 27% 13% 1% <1%
10
Winnipeg, MB
1593 ± 82 33% 8% 2% <1%
16
Winnipeg, MB
1577 ± 92 6% 2% <1% <1%
14
Winnipeg, MB
1556 ± 90 7% 3% <1% <1%
11
Winnipeg, MB
1554 ± 92 28% 3% <1% <1%
15
Winnipeg, MB
1556 ± 82 13% 4% <1% <1%

MARYLAND

2023 IFPA NACS Predictions: MARYLAND
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
4
Chevy Chase, MD
1803 ± 74 100% 89% 77% 48% 32%
3
Cooksville, MD
1774 ± 73 100% 95% 83% 60% 29%
1
Catonsville, MD
1793 ± 51 100% 66% 54% 30% 19%
2
Greater Landover, MD
1721 ± 51 100% 71% 43% 18% 6%
17
Evanston, IL
1755 ± 90 84% 33% 24% 11% 6%
10
Glen Burnie, MD
1707 ± 53 50% 36% 18% 7% 2%
8
Columbia, MD
1689 ± 59 100% 76% 19% 5% 2%
23
Crofton, MD
1707 ± 108 50% 36% 18% 7% 2%
6
Parts Unknown, Earth
1637 ± 49 100% 64% 11% 4% <1%
21
Derwood, MD
1672 ± 65 64% 36% 8% 2% <1%
18
Hagerstown, MD
1666 ± 84 70% 24% 11% 3% <1%
5
Hagerstown, MD
1648 ± 57 100% 48% 8% 2% <1%
13
Washington, DC
1660 ± 47 62% 9% 5% 1% <1%
7
Potomac, MD
1635 ± 53 100% 29% 9% 2% <1%
12
Potomac, MD
1625 ± 61 36% 15% 2% <1% <1%
22
Hagerstown, MD
1584 ± 98 46% 16% 2% <1% <1%
11
Rockville, MD
1597 ± 63 54% 20% 3% <1% <1%
16
Wheaton-Glenmont, MD
1627 ± 59 16% 2% <1% <1% <1%
20
Glen Burnie, MD
1617 ± 73 38% 3% <1% <1% <1%
9
Glen Burnie, MD
1612 ± 51 59% 16% 2% <1% <1%
15
Baltimore, MD
1597 ± 96 30% 5% 1% <1% <1%
19
Parts Unknown, MD
1569 ± 74 51% 3% <1% <1% <1%
24
Frederick, MD
1582 ± 59 41% 8% <1% <1% <1%
14
Ellicott City, MD
1564 ± 67 49% 3% <1% <1% <1%

MASSACHUSETTS

2023 IFPA NACS Predictions: MASSACHUSETTS
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
8
Salem, MA
1865 ± 67 98% 81% 71% 64%
3
Hopkinton, MA
1726 ± 59 74% 68% 53% 12%
5
Northglenn, CO
1730 ± 116 92% 80% 16% 11%
1
Peabody, MA
1751 ± 71 92% 19% 12% 9%
7
Stoneham, MA
1643 ± 76 74% 45% 17% 2%
2
Waltham, MA
1628 ± 61 66% 34% 11% <1%
14
Bristol, CT
1641 ± 57 26% 19% 11% <1%
15
Southampton, MA
1573 ± 86 34% 12% 3% <1%
4
Hadley, MA
1592 ± 71 59% 11% <1% <1%
11
Chicopee, MA
1564 ± 61 59% 9% 3% <1%
13
Ware, MA
1560 ± 59 41% 5% <1% <1%
10
Warren, MA
1558 ± 61 26% 9% 2% <1%
6
Parts Unknown, MA
1536 ± 59 41% 4% 1% <1%
16
Parts Unknown, MA
1571 ± 61 8% <1% <1% <1%
12
Holyoke, MA
1548 ± 73 8% 4% <1% <1%
9
Palmer, MA
1592 ± 59 2% <1% <1% <1%

MICHIGAN

2023 IFPA NACS Predictions: MICHIGAN
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
6
Spring Lake, MI
1811 ± 94 100% 81% 57% 36% 21%
1
Brooklyn, MI
1806 ± 61 100% 79% 59% 34% 20%
12
West Bloomfield Township, MI
1821 ± 71 84% 54% 42% 27% 17%
2
Grand Rapids, MI
1795 ± 65 100% 65% 48% 26% 13%
3
Grand Rapids, MI
1755 ± 61 100% 85% 34% 17% 7%
5
Bay City, MI
1769 ± 51 100% 41% 27% 13% 6%
24
Jackson, MI
1750 ± 76 82% 70% 27% 11% 5%
18
Lansing, MI
1758 ± 80 62% 24% 15% 7% 3%
20
Ypsilanti, MI
1747 ± 63 67% 43% 15% 7% 3%
7
Parts Unknown, MI
1723 ± 61 100% 59% 20% 7% 2%
17
Fremont, MI
1720 ± 88 71% 18% 9% 3% 1%
4
Evansville, IN
1703 ± 78 100% 42% 11% 3% <1%
15
Kalamazoo, MI
1718 ± 71 38% 11% 6% 2% <1%
11
Portage, MI
1706 ± 78 64% 14% 6% 2% <1%
23
Kalamazoo, MI
1706 ± 71 57% 25% 7% 2% <1%
13
Waterford Township, MI
1692 ± 67 33% 16% 3% <1% <1%
21
Lansing, MI
1695 ± 65 16% 5% 2% <1% <1%
10
Lansing, MI
1681 ± 71 43% 16% 4% <1% <1%
14
Grand Blanc, MI
1639 ± 59 72% 13% 2% <1% <1%
22
Milford Charter Township, MI
1662 ± 71 36% 5% 1% <1% <1%
16
Grand Rapids, MI
1648 ± 69 29% 3% 1% <1% <1%
9
Hudsonville, MI
1632 ± 80 18% 10% 2% <1% <1%
8
Jackson, MI
1616 ± 61 100% 20% 2% <1% <1%
19
Merrill, MI
1565 ± 67 28% 2% <1% <1% <1%

MINNESOTA

2023 IFPA NACS Predictions: MINNESOTA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
9
Parts Unknown, Earth
1839 ± 76 94% 83% 70% 55% 42%
18
Saint Paul, MN
1788 ± 69 72% 51% 38% 26% 13%
5
Minneapolis, MN
1765 ± 57 100% 69% 46% 18% 11%
6
Parts Unknown, MN
1750 ± 59 100% 71% 47% 25% 10%
1
St Paul, MN
1723 ± 55 100% 68% 18% 8% 4%
3
Parts Unknown, MN
1711 ± 47 100% 66% 29% 12% 3%
7
Ham Lake, MN
1716 ± 57 100% 58% 23% 11% 3%
2
Coon Rapids, MN
1715 ± 63 100% 35% 19% 9% 3%
4
Chaska, MN
1709 ± 49 100% 53% 20% 6% 2%
13
Parts Unknown, Earth
1718 ± 69 76% 40% 17% 5% 2%
11
Saint Paul, MN
1695 ± 51 68% 23% 11% 4% 1%
12
Parts Unknown, Earth
1714 ± 57 57% 19% 10% 3% 1%
10
Parts Unknown, MN
1702 ± 57 62% 28% 10% 4% 1%
15
Norwood Young America, MN
1712 ± 67 28% 14% 7% 3% <1%
8
Northfield, MN
1686 ± 63 100% 15% 6% 2% <1%
14
Saint Paul, MN
1676 ± 65 67% 26% 9% 3% <1%
21
Minneapolis, MN
1692 ± 63 43% 12% 6% 1% <1%
17
Cambridge, MN
1680 ± 49 64% 23% 4% 1% <1%
23
Shakopee, MN
1663 ± 53 38% 13% 3% 1% <1%
22
Minneapolis, MN
1635 ± 53 32% 6% 2% <1% <1%
16
Minneapolis, MN
1635 ± 55 36% 9% 1% <1% <1%
19
Minneapolis, MN
1619 ± 45 33% 8% 2% <1% <1%
20
Forest Lake, MN
1624 ± 59 24% 6% 1% <1% <1%
24
Parts Unknown, Earth
1632 ± 73 6% 2% <1% <1% <1%

MISSISSIPPI

2023 IFPA NACS Predictions: MISSISSIPPI
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
10
Parts Unknown, FL
1798 ± 86 93% 85% 72% 53%
1
Corinth, MS
1738 ± 86 95% 81% 72% 32%
3
Flowood, MS
1690 ± 84 90% 69% 19% 9%
4
Parts Unknown, Earth
1601 ± 69 62% 44% 10% 1%
2
Jackson, MS
1634 ± 71 73% 10% 4% 1%
8
Flowood, MS
1612 ± 67 64% 13% 8% 1%
11
Starkville, MS
1591 ± 76 50% 13% 2% <1%
13
Flowood, MS
1564 ± 71 38% 24% 3% <1%
6
Brandon, MS
1593 ± 112 50% 14% 2% <1%
5
Flowood, MS
1547 ± 73 71% 27% 3% <1%
9
Flowood, MS
1566 ± 82 36% 5% 2% <1%
7
Memphis, TN
1604 ± 51 7% 3% <1% <1%
15
Parts Unknown, Earth
1557 ± 67 27% 1% <1% <1%
12
Parts Unknown, MS
1477 ± 74 29% 6% <1% <1%
14
Starkville, MS
1521 ± 69 10% 4% <1% <1%
16
Ridgeland, MS
1519 ± 73 5% 1% <1% <1%

MISSOURI

2023 IFPA NACS Predictions: MISSOURI
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
St. Louis, MO
1824 ± 67 100% 90% 61% 53% 33%
3
Columbia, MO
1806 ± 65 100% 70% 41% 29% 16%
6
Kansas City, MO
1795 ± 57 100% 82% 43% 29% 15%
8
St. Louis, MO
1783 ± 59 100% 85% 34% 26% 14%
7
Columbia, MO
1762 ± 82 100% 82% 58% 24% 11%
13
Kansas City, MO
1721 ± 61 65% 42% 28% 7% 3%
2
St. Louis, MO
1713 ± 67 100% 67% 28% 8% 2%
19
Shawnee, KS
1749 ± 74 60% 20% 8% 4% 2%
5
St. Louis, MO
1673 ± 55 100% 55% 25% 4% <1%
4
St. Louis, MO
1671 ± 59 100% 41% 21% 4% <1%
14
St. Louis, MO
1712 ± 61 40% 9% 3% 1% <1%
11
St. Louis, MO
1691 ± 59 83% 17% 4% 2% <1%
20
Kansas City, MO
1670 ± 61 35% 17% 9% 1% <1%
21
St. Louis, MO
1657 ± 57 51% 22% 9% 1% <1%
9
St. Louis, MO
1664 ± 71 64% 11% 2% <1% <1%
16
Lawrence, KS
1670 ± 63 63% 7% 2% <1% <1%
12
Columbia, MO
1656 ± 65 49% 22% 9% 1% <1%
10
St. Louis, MO
1659 ± 57 66% 14% 6% <1% <1%
18
Ballwin, MO
1659 ± 59 56% 20% 5% <1% <1%
15
Saint Charles, MO
1640 ± 59 44% 13% 3% <1% <1%
24
Ballwin, MO
1619 ± 61 36% 4% <1% <1% <1%
23
St. Louis, MO
1608 ± 114 34% 4% 1% <1% <1%
17
St. Louis, MO
1624 ± 86 37% 2% <1% <1% <1%
22
St. Louis, MO
1568 ± 55 17% <1% <1% <1% <1%

MONTANA

2023 IFPA NACS Predictions: MONTANA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Missoula, MT
1716 ± 65 96% 90% 66% 51%
3
Missoula, MT
1662 ± 65 84% 59% 23% 14%
4
Missoula, MT
1634 ± 67 98% 70% 41% 14%
1
Missoula, MT
1640 ± 71 68% 54% 31% 11%
6
Missoula, MT
1608 ± 104 80% 32% 8% 4%
5
Missoula, MT
1575 ± 76 85% 28% 12% 2%
16
Missoula, MT
1579 ± 125 32% 21% 9% 2%
8
Missoula, MT
1547 ± 76 74% 21% 6% 1%
14
Missoula, MT
1530 ± 102 16% 5% <1% <1%
10
Missoula, MT
1518 ± 90 57% 5% <1% <1%
7
Missoula, MT
1497 ± 74 43% 3% <1% <1%
11
Missoula, MT
1497 ± 78 20% 3% <1% <1%
9
Missoula, MT
1465 ± 82 26% 3% <1% <1%
15
Missoula, MT
1480 ± 127 4% 2% <1% <1%
12
Parts Unknown, MT
1439 ± 88 15% 1% <1% <1%
13
Missoula, MT
1354 ± 100 2% <1% <1% <1%

NEBRASKA

2023 IFPA NACS Predictions: NEBRASKA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
3
Omaha, NE
1811 ± 100 96% 90% 71% 47%
5
Omaha, NE
1769 ± 96 92% 77% 47% 22%
1
Omaha, NE
1753 ± 69 92% 82% 43% 18%
2
Omaha, NE
1728 ± 63 89% 73% 23% 10%
4
Omaha, NE
1661 ± 69 81% 19% 6% 1%
7
Lincoln, NE
1629 ± 80 70% 18% 2% <1%
6
Omaha, NE
1615 ± 69 66% 6% 2% <1%
9
Omaha, NE
1606 ± 88 70% 12% 2% <1%
12
Parts Unknown, Earth
1582 ± 74 8% 3% <1% <1%
10
Parts Unknown, Earth
1563 ± 65 30% 5% <1% <1%
16
Omaha, NE
1570 ± 84 8% 4% <1% <1%
14
Parts Unknown, Earth
1582 ± 80 4% 2% <1% <1%
15
Lincoln, NE
1567 ± 92 11% 4% <1% <1%
8
Omaha, NE
1539 ± 59 30% 2% <1% <1%
13
Omaha, NE
1545 ± 67 19% 1% <1% <1%
11
Omaha, NE
1560 ± 69 34% 2% <1% <1%

NEVADA

2023 IFPA NACS Predictions: NEVADA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
6
Las Vegas, NV
1818 ± 73 100% 89% 77% 64% 39%
9
Parts Unknown, Earth
1809 ± 71 98% 86% 59% 39% 23%
13
Parts Unknown, Earth
1790 ± 73 83% 72% 49% 25% 13%
1
Sparks, NV
1763 ± 84 100% 78% 33% 17% 8%
5
Reno, NV
1747 ± 80 100% 78% 37% 14% 6%
2
Reno, NV
1716 ± 63 100% 73% 43% 13% 4%
10
Las Vegas, NV
1702 ± 74 68% 38% 20% 5% 2%
7
Reno, NV
1687 ± 82 100% 50% 24% 6% 2%
3
Las Vegas, NV
1672 ± 59 100% 54% 10% 4% <1%
14
Las Vegas, NV
1676 ± 63 66% 34% 6% 3% <1%
11
Las Vegas, NV
1677 ± 86 67% 10% 5% 2% <1%
8
Reno, NV
1661 ± 71 100% 14% 4% <1% <1%
12
Parts Unknown, NV
1663 ± 69 68% 18% 5% 1% <1%
17
Las Vegas, NV
1671 ± 59 58% 14% 3% <1% <1%
18
Reno, NV
1644 ± 84 57% 17% 6% 1% <1%
4
Reno, NV
1642 ± 76 100% 18% 5% <1% <1%
23
Las Vegas, NV
1644 ± 67 32% 12% 4% <1% <1%
20
Las Vegas, NV
1667 ± 59 17% 10% 3% <1% <1%
19
Reno, NV
1624 ± 84 34% 12% 1% <1% <1%
16
Reno, NV
1644 ± 76 42% 8% 1% <1% <1%
22
Stateline, NV
1620 ± 63 33% 2% <1% <1% <1%
15
Reno, NV
1622 ± 78 43% 10% 3% <1% <1%
21
Reno, NV
1604 ± 74 32% 4% <1% <1% <1%
24
Sparks, NV
1530 ± 67 2% <1% <1% <1% <1%

NEW BRUNSWICK

2023 IFPA NACS Predictions: NEW BRUNSWICK
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Fredericton, NB
1629 ± 106 81% 56% 34% 24%
3
Fredericton, NB
1626 ± 108 81% 60% 34% 23%
8
Parts Unknown, Earth
1592 ± 127 69% 55% 35% 17%
5
Saint John, NB
1568 ± 98 58% 39% 21% 8%
7
Moncton, NB
1579 ± 100 62% 26% 12% 7%
6
Parts Unknown, Earth
1560 ± 125 76% 28% 11% 6%
12
Fredericton, NB
1537 ± 110 42% 25% 11% 3%
13
Parts Unknown, Earth
1524 ± 125 69% 28% 11% 3%
9
Parts Unknown, NB
1527 ± 102 31% 20% 9% 3%
1
Parts Unknown, Earth
1500 ± 294 72% 22% 9% 2%
10
London, ON
1539 ± 102 38% 12% 4% 2%
14
Parts Unknown, NS
1500 ± 294 19% 8% 2% <1%
15
Parts Unknown, Earth
1500 ± 294 19% 6% 2% <1%
4
Parts Unknown, Earth
1456 ± 102 31% 7% 2% <1%
11
Saint John, NB
1468 ± 112 24% 4% <1% <1%
16
Parts Unknown, Earth
1412 ± 123 28% 3% <1% <1%

NEW HAMPSHIRE

2023 IFPA NACS Predictions: NEW HAMPSHIRE
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Portsmouth, NH
1734 ± 53 89% 77% 59% 38%
2
Somerville, MA
1715 ± 65 96% 76% 53% 30%
6
Bolton, MA
1682 ± 67 78% 56% 26% 12%
5
Andover, MA
1661 ± 73 63% 40% 15% 7%
4
Londonderry, NH
1631 ± 94 70% 32% 10% 3%
3
Manchester, NH
1626 ± 67 70% 27% 8% 3%
7
North Andover, MA
1626 ± 73 69% 19% 8% 3%
12
Parts Unknown, NH
1624 ± 65 37% 20% 6% 2%
9
San Francisco, CA
1605 ± 65 61% 13% 5% 1%
11
Boston, MA
1582 ± 73 22% 10% 2% <1%
8
Dover, NH
1570 ± 55 39% 6% 2% <1%
13
Parts Unknown, Earth
1563 ± 67 30% 8% 1% <1%
16
Ayer, MA
1573 ± 73 11% 5% 1% <1%
10
Litchfield, NH
1561 ± 96 31% 4% 1% <1%
14
Amherst, NH
1561 ± 69 30% 7% 1% <1%
15
Parts Unknown, NH
1480 ± 74 4% <1% <1% <1%

NEW JERSEY

2023 IFPA NACS Predictions: NEW JERSEY
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Hamburg, NJ
1814 ± 57 93% 86% 78% 71%
2
Bloomfield, NJ
1662 ± 55 77% 47% 29% 6%
6
Far Hills, NJ
1656 ± 51 74% 49% 27% 5%
4
Erma, NJ
1663 ± 59 55% 41% 8% 4%
7
Somers Point, NJ
1644 ± 63 64% 32% 18% 3%
13
Jersey City, NJ
1647 ± 71 45% 32% 6% 3%
3
Wayne, NJ
1616 ± 47 63% 29% 12% 2%
8
Wayne, NJ
1632 ± 53 61% 7% 3% 2%
10
Hamburg, NJ
1598 ± 63 36% 14% 6% <1%
5
New York, NY
1592 ± 73 65% 20% 2% <1%
16
Audubon, NJ
1618 ± 67 7% 4% 2% <1%
9
Parts Unknown, Earth
1596 ± 57 39% 3% 1% <1%
11
Parts Unknown, NJ
1574 ± 53 26% 11% 3% <1%
14
Parts Unknown, NJ
1573 ± 49 37% 12% 3% <1%
12
Hackettstown, NJ
1544 ± 67 35% 7% <1% <1%
15
Parts Unknown, NJ
1566 ± 57 23% 7% 2% <1%

NEW MEXICO

2023 IFPA NACS Predictions: NEW MEXICO
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
6
Evanston, IL
1750 ± 80 81% 46% 35% 22%
3
Albuquerque, NM
1752 ± 86 76% 42% 33% 21%
4
Albuquerque, NM
1732 ± 90 81% 60% 37% 19%
1
Albuquerque, NM
1727 ± 98 79% 56% 33% 17%
2
Albuquerque, NM
1674 ± 90 86% 53% 16% 7%
5
Albuquerque, NM
1663 ± 92 74% 27% 11% 4%
8
Albuquerque, NM
1668 ± 94 63% 25% 10% 3%
7
Parts Unknown, NM
1655 ± 90 70% 35% 9% 3%
14
Albuquerque, NM
1662 ± 102 24% 8% 4% 2%
9
El Paso, TX
1624 ± 86 37% 10% 3% <1%
11
Las Cruces, NM
1636 ± 74 19% 4% 2% <1%
16
Albuquerque, NM
1617 ± 104 21% 8% 2% <1%
13
Albuquerque, NM
1616 ± 96 19% 8% 2% <1%
10
Albuquerque, NM
1586 ± 84 30% 9% 1% <1%
12
Tijeras, NM
1580 ± 96 26% 5% <1% <1%
15
Albuquerque, NM
1531 ± 80 14% 3% <1% <1%

NEW YORK

2023 IFPA NACS Predictions: NEW YORK
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
9
Raleigh, NC
1842 ± 82 98% 86% 73% 61% 46%
6
Patterson, NY
1783 ± 69 100% 71% 51% 34% 16%
15
New York, NY
1765 ± 61 63% 36% 28% 15% 7%
2
New York, NY
1740 ± 69 100% 48% 34% 16% 6%
3
Parts Unknown, NY
1721 ± 65 100% 81% 30% 14% 4%
4
Albany, NY
1724 ± 69 100% 57% 34% 10% 4%
1
New York, NY
1717 ± 63 100% 61% 14% 7% 3%
11
North Syracuse, NY
1729 ± 86 79% 27% 16% 8% 3%
20
Parts Unknown, NJ
1721 ± 71 63% 31% 18% 5% 2%
5
North Syracuse, NY
1694 ± 82 100% 54% 23% 5% 2%
18
Rochester, NY
1721 ± 84 37% 16% 11% 4% 1%
12
Rockland County, NY
1696 ± 55 61% 32% 14% 3% 1%
7
New York, NY
1673 ± 63 100% 55% 16% 4% 1%
8
Brooklyn, NY
1690 ± 82 100% 14% 6% 3% <1%
16
Buffalo, NY
1690 ± 82 57% 24% 4% 2% <1%
23
Buffalo, NY
1672 ± 82 64% 31% 9% 3% <1%
13
Rochester, NY
1677 ± 84 37% 13% 6% 1% <1%
17
New York, NY
1668 ± 65 43% 15% 2% 1% <1%
21
East Stroudsburg, PA
1661 ± 71 39% 15% 5% <1% <1%
10
Brooklyn, NY
1627 ± 57 36% 13% 2% <1% <1%
19
Mountain Dale, NY
1626 ± 61 61% 14% 2% <1% <1%
22
Parts Unknown, NY
1627 ± 61 21% 2% <1% <1% <1%
24
Parts Unknown, Earth
1577 ± 59 2% <1% <1% <1% <1%
14
Parts Unknown, Earth
1587 ± 55 39% 6% <1% <1% <1%

NORTH CAROLINA

2023 IFPA NACS Predictions: NORTH CAROLINA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
4
Greensboro, NC
1890 ± 84 100% 83% 75% 62% 44%
2
Huntersville, NC
1837 ± 76 100% 94% 66% 40% 19%
3
Raleigh, NC
1835 ± 71 100% 81% 64% 36% 17%
1
Charlotte, NC
1794 ± 61 100% 72% 62% 21% 9%
7
Raleigh, NC
1776 ± 74 100% 57% 20% 9% 3%
23
Raleigh, NC
1769 ± 74 81% 39% 13% 5% 2%
13
King, NC
1768 ± 71 54% 10% 6% 3% 1%
17
Raleigh, NC
1737 ± 76 72% 24% 18% 4% 1%
6
Charlotte, NC
1737 ± 67 100% 58% 16% 5% 1%
5
Raleigh, NC
1731 ± 74 100% 58% 9% 4% 1%
11
Wilmington, NC
1729 ± 78 79% 38% 10% 3% <1%
19
Morganton, NC
1736 ± 59 74% 17% 9% 2% <1%
20
Kernersville, NC
1755 ± 63 46% 7% 4% 2% <1%
21
Cary, NC
1723 ± 82 67% 32% 5% 2% <1%
8
Asheville, NC
1669 ± 55 100% 64% 14% 2% <1%
15
Asheville, NC
1649 ± 59 60% 5% <1% <1% <1%
16
Asheville, NC
1662 ± 73 28% 4% 2% <1% <1%
9
Asheville, NC
1629 ± 55 57% 22% 3% <1% <1%
12
Charlotte, NC
1666 ± 69 33% 10% <1% <1% <1%
10
Asheville, NC
1659 ± 55 19% 3% <1% <1% <1%
22
Asheville, NC
1625 ± 57 21% 4% <1% <1% <1%
18
Durham, NC
1619 ± 67 40% 2% <1% <1% <1%
14
Asheville, NC
1653 ± 53 26% 2% <1% <1% <1%
24
Asheville, NC
1607 ± 57 43% 13% 1% <1% <1%

NORTH DAKOTA

2023 IFPA NACS Predictions: NORTH DAKOTA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
4
Parts Unknown, ND
1753 ± 129 95% 83% 60% 50%
1
Fargo, ND
1693 ± 61 97% 68% 27% 19%
6
Moorhead, MN
1660 ± 120 78% 47% 35% 12%
3
Parts Unknown, MN
1643 ± 127 76% 39% 28% 9%
2
Fargo, ND
1599 ± 137 65% 45% 17% 3%
8
West Fargo, ND
1626 ± 67 51% 16% 4% 2%
9
Parts Unknown, ND
1628 ± 122 49% 16% 4% 2%
5
Fargo, ND
1607 ± 172 54% 9% 3% 1%
12
Parts Unknown, Earth
1591 ± 125 46% 6% 2% <1%
15
Minneapolis, MN
1550 ± 57 35% 20% 5% <1%
14
Fargo, ND
1550 ± 180 24% 7% 3% <1%
7
West Fargo, ND
1541 ± 125 57% 22% 5% <1%
11
Fargo, ND
1558 ± 125 22% 7% 3% <1%
10
Fargo, ND
1516 ± 125 43% 13% 2% <1%
13
West Fargo, ND
1523 ± 135 5% 1% <1% <1%
16
Fargo, ND
1426 ± 186 3% <1% <1% <1%

NOVA SCOTIA

2023 IFPA NACS Predictions: NOVA SCOTIA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Parts Unknown, NS
1721 ± 112 80% 71% 55% 45%
4
Halifax, NS
1647 ± 108 85% 60% 24% 15%
3
Beaver Bank, NS
1633 ± 106 74% 54% 34% 13%
2
Halifax, NS
1611 ± 92 89% 56% 31% 10%
16
Parts Unknown, NS
1609 ± 163 20% 13% 6% 3%
5
Halifax, NS
1591 ± 110 62% 24% 6% 3%
6
Halifax, NS
1570 ± 106 69% 27% 11% 3%
7
Halifax Regional Municipality, NS
1574 ± 102 53% 23% 10% 2%
9
Halifax, NS
1572 ± 106 61% 11% 5% 2%
10
Halifax, NS
1564 ± 135 47% 19% 8% 2%
14
Parts Unknown, NS
1545 ± 135 26% 12% 4% <1%
12
Parts Unknown, Earth
1549 ± 129 38% 11% 2% <1%
8
Halifax, NS
1536 ± 98 39% 5% 2% <1%
11
Middle Sackville, NS
1507 ± 88 31% 7% 2% <1%
13
Parts Unknown, Earth
1510 ± 102 15% 5% <1% <1%
15
Parts Unknown, Earth
1449 ± 90 11% 2% <1% <1%

OHIO

2023 IFPA NACS Predictions: OHIO
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Cleveland, OH
1894 ± 59 100% 93% 78% 61% 45%
1
Plain City, OH
1847 ± 55 100% 66% 53% 36% 17%
6
Cleveland, OH
1817 ± 71 100% 84% 60% 23% 12%
5
Columbus, OH
1809 ± 57 100% 78% 48% 23% 8%
17
Worthington, OH
1811 ± 92 77% 30% 22% 13% 5%
4
Cleveland, OH
1779 ± 61 100% 58% 28% 11% 3%
7
Olmsted Falls, OH
1773 ± 61 100% 64% 14% 6% 3%
3
Parts Unknown, Earth
1759 ± 59 100% 72% 28% 6% 2%
8
Cincinnati, OH
1753 ± 55 100% 75% 20% 8% 2%
13
Cleveland, OH
1766 ± 84 59% 27% 11% 4% <1%
10
Cleveland, OH
1746 ± 71 68% 28% 5% 2% <1%
12
Cleveland, OH
1723 ± 65 63% 16% 6% 1% <1%
20
Columbus, OH
1734 ± 63 41% 15% 5% 2% <1%
14
Plain, OH
1701 ± 61 65% 21% 5% <1% <1%
11
Columbus, OH
1691 ± 69 53% 9% 3% <1% <1%
15
Burlington, KY
1705 ± 65 52% 4% 1% <1% <1%
16
Cleveland, OH
1715 ± 74 23% 4% 2% <1% <1%
18
Columbus, OH
1699 ± 63 48% 3% 1% <1% <1%
9
Westerville, OH
1685 ± 63 64% 18% 3% <1% <1%
22
Columbus, OH
1683 ± 71 47% 7% 3% <1% <1%
23
Cincinnati, OH
1685 ± 57 32% 8% <1% <1% <1%
24
Strongsville, OH
1640 ± 59 36% 7% <1% <1% <1%
19
Cleveland, OH
1653 ± 65 35% 7% <1% <1% <1%
21
Cleveland, OH
1682 ± 73 37% 6% 2% <1% <1%

OKLAHOMA

2023 IFPA NACS Predictions: OKLAHOMA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
10
Oklahoma City, OK
1809 ± 71 93% 59% 41% 31% 22%
8
Tulsa, OK
1749 ± 76 100% 71% 40% 24% 11%
20
Delaware, OH
1757 ± 57 69% 56% 38% 22% 11%
18
Denton, TX
1776 ± 69 76% 54% 25% 17% 10%
1
Oklahoma City, OK
1747 ± 78 100% 70% 38% 22% 10%
7
Stillwater, OK
1763 ± 71 100% 40% 22% 14% 8%
3
Oklahoma City, OK
1731 ± 73 100% 77% 43% 15% 8%
6
Claremore, OK
1728 ± 63 100% 67% 37% 13% 6%
12
Stillwater, OK
1724 ± 76 74% 47% 25% 11% 4%
2
Mannford, OK
1702 ± 61 100% 35% 9% 4% 2%
9
Oklahoma City, OK
1696 ± 73 78% 27% 11% 5% 2%
5
Tulsa, OK
1676 ± 61 100% 43% 16% 5% 1%
16
Broken Arrow, OK
1694 ± 92 65% 22% 8% 4% 1%
11
Oklahoma City, OK
1689 ± 74 71% 27% 12% 3% 1%
13
Tulsa, OK
1691 ± 63 31% 20% 10% 4% 1%
4
Newcastle, OK
1647 ± 67 100% 25% 9% 2% <1%
15
Collinsville, TX
1688 ± 82 24% 11% 3% 1% <1%
14
Oklahoma City, OK
1654 ± 73 73% 20% 7% 1% <1%
17
Tulsa, OK
1647 ± 73 35% 8% 2% <1% <1%
21
Bartlesville, OK
1640 ± 65 26% 10% 3% <1% <1%
22
Tulsa, OK
1618 ± 73 29% 5% 1% <1% <1%
23
Tulsa, OK
1613 ± 61 7% <1% <1% <1% <1%
19
Tulsa, OK
1576 ± 74 27% 3% <1% <1% <1%
24
Oklahoma City, OK
1595 ± 74 22% 3% <1% <1% <1%

ONTARIO

2023 IFPA NACS Predictions: ONTARIO
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Toronto, ON
1758 ± 61 100% 92% 72% 56% 36%
6
Winnipeg, MB
1735 ± 61 100% 85% 62% 37% 20%
7
Mount Albert, ON
1720 ± 78 100% 74% 44% 24% 12%
5
Kitchener, ON
1692 ± 84 100% 71% 52% 20% 9%
2
Burlington, ON
1700 ± 59 100% 61% 30% 15% 7%
3
Toronto, ON
1673 ± 67 100% 75% 28% 12% 5%
9
London, ON
1662 ± 71 86% 46% 12% 6% 2%
8
Mississauga, ON
1653 ± 63 100% 52% 13% 6% 2%
15
Saint Thomas, Earth
1678 ± 82 61% 27% 12% 5% 2%
10
Toronto, ON
1648 ± 53 62% 18% 7% 3% <1%
12
Toronto, ON
1630 ± 57 56% 17% 9% 2% <1%
20
Georgetown, ON
1629 ± 69 52% 29% 11% 3% <1%
4
Toronto, ON
1607 ± 55 100% 45% 14% 3% <1%
13
Kitchener, ON
1620 ± 63 48% 26% 9% 2% <1%
18
Oakville, ON
1644 ± 74 39% 13% 4% 1% <1%
21
Toronto, ON
1610 ± 63 44% 11% 5% 1% <1%
11
Mississauga, ON
1616 ± 74 69% 12% 5% 1% <1%
14
Mississauga, ON
1598 ± 65 57% 16% 3% <1% <1%
23
Ajax, ON
1608 ± 78 38% 8% 2% <1% <1%
16
Oakville, ON
1580 ± 63 57% 5% 1% <1% <1%
19
Toronto, ON
1574 ± 63 43% 9% 1% <1% <1%
22
Toronto, ON
1549 ± 65 31% 2% <1% <1% <1%
24
Mississauga, ON
1524 ± 59 14% 2% <1% <1% <1%
17
Mississauga, ON
1558 ± 59 43% 3% <1% <1% <1%

OREGON

2023 IFPA NACS Predictions: OREGON
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
5
Portland, OR
1877 ± 76 100% 93% 81% 67% 53%
3
Coatsville, PA
1802 ± 74 100% 87% 58% 41% 16%
1
Portland, OR
1770 ± 61 100% 78% 53% 15% 8%
2
Portland, OR
1749 ± 47 100% 74% 43% 18% 5%
11
Eugene, OR
1765 ± 106 86% 52% 23% 14% 4%
4
Eugene, OR
1745 ± 78 100% 79% 15% 7% 3%
9
Portland, OR
1744 ± 74 81% 64% 30% 7% 3%
10
Parts Unknown, Earth
1740 ± 76 84% 50% 26% 10% 2%
6
Portland, OR
1729 ± 71 100% 45% 15% 8% 2%
7
Portland, OR
1709 ± 57 100% 46% 20% 6% 1%
12
Portland, OR
1696 ± 69 75% 6% 3% 1% <1%
17
Portland, OR
1685 ± 59 85% 22% 9% 1% <1%
18
Eugene, OR
1685 ± 71 70% 22% 8% 2% <1%
8
Parts Unknown, OR
1642 ± 55 100% 28% 6% <1% <1%
19
Portland, OR
1660 ± 94 55% 7% 2% <1% <1%
14
Fall Creek, OR
1642 ± 69 45% 5% 1% <1% <1%
13
Portland, OR
1625 ± 116 43% 8% <1% <1% <1%
24
Portland, OR
1630 ± 65 19% 9% 2% <1% <1%
20
Parts Unknown, OR
1650 ± 71 57% 13% <1% <1% <1%
23
Eugene, OR
1606 ± 63 16% 3% <1% <1% <1%
15
Parts Unknown, Earth
1617 ± 51 30% 5% <1% <1% <1%
16
Portland, OR
1550 ± 61 15% <1% <1% <1% <1%
22
Eugene, OR
1624 ± 76 14% 3% <1% <1% <1%
21
Eugene, OR
1610 ± 84 25% <1% <1% <1% <1%

PENNSYLVANIA

2023 IFPA NACS Predictions: PENNSYLVANIA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
6
Pittsburgh, PA
1831 ± 65 100% 83% 71% 56% 35%
4
Pittsburgh, PA
1815 ± 78 100% 84% 56% 37% 22%
1
Parts Unknown, PA
1787 ± 74 100% 81% 71% 36% 18%
2
Pittsburgh, PA
1757 ± 61 100% 71% 51% 20% 8%
12
Pittsburgh, PA
1770 ± 76 90% 52% 22% 12% 5%
5
Philadelphia, PA
1746 ± 71 100% 47% 17% 8% 3%
14
Pittsburgh, PA
1725 ± 73 74% 57% 14% 7% 2%
11
Parts Unknown, PA
1720 ± 65 83% 17% 10% 5% 1%
10
Parts Unknown, Earth
1705 ± 74 55% 33% 13% 3% <1%
15
New Cumberland, PA
1700 ± 104 79% 27% 15% 4% <1%
16
Trappe, PA
1687 ± 73 77% 18% 12% 3% <1%
7
Chesterbrook, PA
1674 ± 96 100% 44% 13% 3% <1%
20
Pittsburgh, PA
1702 ± 57 80% 15% 5% 2% <1%
23
Pittsburgh, PA
1685 ± 76 45% 24% 8% 2% <1%
9
Schwenksville, PA
1655 ± 76 83% 52% 11% 2% <1%
3
Lansdale, PA
1630 ± 59 100% 28% 3% <1% <1%
19
Malvern, PA
1645 ± 73 26% 15% 2% <1% <1%
8
Philadelphia, PA
1610 ± 63 100% 43% 5% <1% <1%
13
Philadelphia, PA
1591 ± 137 20% <1% <1% <1% <1%
18
Collegeville, PA
1597 ± 65 21% 2% <1% <1% <1%
21
Collegeville, PA
1599 ± 67 10% 1% <1% <1% <1%
22
Parts Unknown, PA
1598 ± 59 17% <1% <1% <1% <1%
24
Parts Unknown, Earth
1527 ± 112 17% 5% <1% <1% <1%
17
Parts Unknown, PA
1597 ± 71 23% 2% <1% <1% <1%

QUEBEC

2023 IFPA NACS Predictions: QUEBEC
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
3
Montreal, QC
1751 ± 100 84% 63% 48% 32%
9
Montreal, QC
1722 ± 125 87% 58% 41% 22%
1
Montreal, QC
1688 ± 80 77% 35% 21% 10%
4
Parts Unknown, Earth
1684 ± 88 63% 44% 20% 9%
2
Montreal, QC
1667 ± 90 83% 44% 16% 7%
7
Ottawa, ON
1675 ± 82 64% 37% 14% 6%
6
Montreal, QC
1675 ± 106 59% 20% 11% 5%
13
Parts Unknown, Earth
1641 ± 94 37% 22% 7% 2%
5
Montreal, QC
1624 ± 90 65% 25% 7% 2%
11
Gatineau, QC
1643 ± 120 41% 11% 5% 2%
10
Montreal, QC
1628 ± 84 36% 16% 4% 1%
14
Parts Unknown, Earth
1616 ± 118 16% 5% 2% <1%
16
Montreal, QC
1592 ± 100 23% 5% 2% <1%
12
Montreal, QC
1576 ± 92 35% 9% 2% <1%
8
Montreal, QC
1573 ± 92 13% 3% <1% <1%
15
Montreal, QC
1545 ± 94 17% 3% <1% <1%

RHODE ISLAND

2023 IFPA NACS Predictions: RHODE ISLAND
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
6
Holliston, MA
1772 ± 74 53% 43% 34% 25%
11
Canton, MA
1762 ± 94 47% 37% 28% 20%
1
Providence, RI
1709 ± 74 93% 55% 45% 19%
2
Johnston, RI
1697 ± 94 91% 72% 25% 14%
9
Boston, MA
1690 ± 55 89% 42% 33% 12%
3
Dedham, MA
1661 ± 73 98% 20% 10% 4%
4
Parts Unknown, RI
1612 ± 96 86% 60% 16% 3%
10
Parts Unknown, MA
1604 ± 61 67% 19% 3% <1%
5
Providence, RI
1561 ± 112 82% 33% 5% <1%
7
Taunton, MA
1549 ± 104 33% 6% <1% <1%
8
Parts Unknown, Earth
1531 ± 84 11% 1% <1% <1%
15
Stonington, CT
1520 ± 96 9% 3% <1% <1%
16
Providence, RI
1500 ± 294 7% <1% <1% <1%
13
Parts Unknown, RI
1468 ± 94 14% 4% <1% <1%
12
North Attleborough, MA
1446 ± 80 18% 3% <1% <1%
14
Providence, RI
1389 ± 73 2% <1% <1% <1%

SASKATCHEWAN

2023 IFPA NACS Predictions: SASKATCHEWAN
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Regina, SK
1815 ± 76 96% 89% 77% 53%
3
Regina, SK
1772 ± 73 97% 77% 49% 23%
2
Regina, SK
1744 ± 74 89% 55% 26% 10%
7
Parts Unknown, Earth
1723 ± 106 64% 31% 13% 5%
5
Saskatoon, SK
1691 ± 74 89% 62% 14% 4%
6
Regina, SK
1682 ± 80 71% 19% 7% 2%
4
Regina, SK
1645 ± 82 71% 28% 4% <1%
10
Regina, SK
1671 ± 84 36% 12% 4% <1%
8
Regina, SK
1639 ± 78 72% 8% 3% <1%
11
Regina, SK
1608 ± 84 29% 4% <1% <1%
16
Regina, SK
1583 ± 104 4% 2% <1% <1%
13
Regina, SK
1572 ± 78 29% 6% <1% <1%
15
Regina, SK
1585 ± 80 11% 2% <1% <1%
9
Saskatoon, SK
1564 ± 86 28% 1% <1% <1%
14
Regina, SK
1529 ± 76 3% <1% <1% <1%
12
Regina, SK
1528 ± 82 11% 3% <1% <1%

SOUTH CAROLINA

2023 IFPA NACS Predictions: SOUTH CAROLINA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Pelzer, SC
1809 ± 71 100% 90% 65% 54% 38%
2
Columbia, SC
1780 ± 73 100% 67% 55% 41% 22%
8
Parts Unknown, SC
1749 ± 80 100% 83% 30% 21% 11%
18
Columbia, SC
1740 ± 104 81% 31% 22% 15% 6%
3
New York, NY
1715 ± 88 100% 59% 41% 17% 6%
5
Pelzer, SC
1696 ± 69 100% 55% 31% 8% 3%
14
Parts Unknown, NC
1704 ± 78 66% 30% 20% 8% 3%
12
Columbia, SC
1702 ± 71 79% 40% 24% 6% 3%
4
Charleston, SC
1680 ± 69 100% 58% 27% 6% 2%
10
Rock Hill, SC
1681 ± 61 63% 36% 9% 4% 1%
13
Columbia, SC
1673 ± 74 80% 38% 17% 4% 1%
7
Parts Unknown, CO
1662 ± 74 100% 48% 10% 5% 1%
22
Rock Hill, SC
1664 ± 57 55% 33% 13% 3% <1%
6
Parts Unknown, Earth
1635 ± 69 100% 43% 13% 3% <1%
11
Columbia, SC
1646 ± 63 45% 24% 8% 2% <1%
16
Ridgeville, SC
1659 ± 86 76% 9% 3% 1% <1%
19
Columbia, SC
1652 ± 84 34% 11% 5% 1% <1%
23
Waxhaw, NC
1640 ± 112 37% 16% 3% 1% <1%
9
Greenville, SC
1641 ± 76 67% 13% 2% <1% <1%
15
Parts Unknown, Earth
1625 ± 76 19% 2% <1% <1% <1%
17
Simpsonville, SC
1569 ± 76 24% <1% <1% <1% <1%
21
Spartanburg, SC
1594 ± 74 21% 4% 1% <1% <1%
24
Woodruff, SC
1584 ± 82 33% 4% <1% <1% <1%
20
Simpsonville, SC
1568 ± 82 20% 4% <1% <1% <1%

SOUTH DAKOTA

2023 IFPA NACS Predictions: SOUTH DAKOTA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Sioux Falls, SD
1803 ± 84 96% 89% 62% 49%
13
Parts Unknown, Earth
1759 ± 174 77% 53% 23% 15%
6
Parts Unknown, Earth
1715 ± 100 88% 62% 34% 11%
2
Parts Unknown, Earth
1708 ± 94 93% 54% 30% 9%
7
Parts Unknown, Earth
1699 ± 104 84% 43% 23% 7%
5
Parts Unknown, Earth
1700 ± 98 95% 38% 11% 6%
3
Sioux Falls, SD
1652 ± 63 60% 23% 8% 2%
4
Sioux Falls, SD
1656 ± 112 23% 9% 2% <1%
8
Parts Unknown, Earth
1626 ± 108 64% 7% 2% <1%
14
Parts Unknown, Earth
1619 ± 163 40% 11% 3% <1%
11
Parts Unknown, Earth
1563 ± 104 12% 3% <1% <1%
9
Sioux Falls, SD
1582 ± 120 36% 2% <1% <1%
16
Parts Unknown, Earth
1572 ± 127 4% 2% <1% <1%
10
Sioux Falls, SD
1568 ± 76 16% 3% <1% <1%
15
Parts Unknown, Earth
1500 ± 294 7% <1% <1% <1%
12
Parts Unknown, Earth
1480 ± 108 5% <1% <1% <1%

TENNESSEE

2023 IFPA NACS Predictions: TENNESSEE
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
6
Nashville, TN
1767 ± 65 100% 85% 55% 35% 20%
1
Smyrna, TN
1774 ± 55 100% 74% 52% 32% 20%
2
Bartlett, TN
1739 ± 53 100% 79% 50% 25% 12%
5
Parts Unknown, Earth
1754 ± 57 100% 56% 38% 20% 11%
3
Smyrna, TN
1731 ± 53 100% 71% 32% 18% 8%
12
Nashville, TN
1753 ± 67 82% 41% 28% 15% 8%
8
Nashville, TN
1719 ± 63 100% 62% 25% 11% 5%
10
Memphis, TN
1710 ± 57 80% 45% 21% 9% 3%
4
Memphis, TN
1696 ± 51 100% 57% 20% 7% 3%
7
Columbia, TN
1690 ± 74 100% 50% 21% 7% 2%
16
Nashville, TN
1710 ± 69 69% 21% 11% 5% 2%
13
Nashville, TN
1693 ± 55 81% 40% 13% 5% 2%
9
Nashville, TN
1697 ± 61 71% 31% 10% 4% 1%
14
Nashville, TN
1678 ± 51 78% 26% 8% 3% <1%
15
Nashville, TN
1652 ± 61 62% 15% 6% 1% <1%
11
Jonesboro, AR
1649 ± 55 61% 11% 3% <1% <1%
17
Arlington, TN
1649 ± 63 31% 5% 2% <1% <1%
21
Arlington, TN
1634 ± 57 18% 3% <1% <1% <1%
18
Memphis, TN
1612 ± 51 38% 6% 1% <1% <1%
24
Nashville, TN
1632 ± 49 29% 7% 1% <1% <1%
23
Paris, TN
1597 ± 63 20% 4% <1% <1% <1%
22
Memphis, TN
1611 ± 63 39% 4% 1% <1% <1%
19
Memphis, TN
1577 ± 53 22% 3% <1% <1% <1%
20
Parts Unknown, TN
1577 ± 53 19% 3% <1% <1% <1%

TEXAS

2023 IFPA NACS Predictions: TEXAS
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
14
Austin, TX
1891 ± 80 92% 62% 41% 28% 19%
2
Denton, TX
1859 ± 65 100% 85% 64% 30% 18%
6
Corpus Christi, TX
1859 ± 51 100% 80% 38% 23% 13%
20
Beaumont, TX
1857 ± 110 88% 50% 37% 22% 11%
1
The Woodlands, TX
1842 ± 67 100% 55% 39% 22% 10%
4
Houston, TX
1834 ± 73 100% 48% 32% 17% 8%
16
The Woodlands, TX
1840 ± 59 83% 42% 29% 16% 7%
3
College Station, TX
1833 ± 61 100% 36% 18% 9% 5%
5
Conroe, TX
1784 ± 57 100% 56% 18% 7% 2%
8
San Antonio, TX
1778 ± 69 100% 58% 19% 7% 2%
7
San Antonio, TX
1773 ± 73 100% 55% 17% 4% 2%
12
Collinsville, TX
1779 ± 69 58% 28% 9% 3% 1%
9
The Woodlands, TX
1771 ± 65 77% 37% 11% 4% 1%
10
Austin, TX
1770 ± 69 88% 44% 14% 3% <1%
22
The Woodlands, TX
1761 ± 55 60% 14% 3% <1% <1%
15
Austin, TX
1737 ± 73 59% 10% 4% <1% <1%
21
Austin, TX
1751 ± 59 42% 16% 4% 1% <1%
11
Abilene, TX
1729 ± 71 40% 6% <1% <1% <1%
18
Houston, TX
1708 ± 57 41% 5% 2% <1% <1%
17
Denton, TX
1721 ± 61 17% 3% 1% <1% <1%
13
Conroe, TX
1702 ± 59 12% 2% <1% <1% <1%
19
Arlington, TX
1710 ± 65 8% 1% <1% <1% <1%
24
Parts Unknown, TX
1674 ± 65 23% 5% <1% <1% <1%
23
Houston, TX
1617 ± 71 12% 2% <1% <1% <1%

UTAH

2023 IFPA NACS Predictions: UTAH
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
5
South Jordan, UT
1784 ± 69 91% 74% 48% 35%
1
North Ogden, UT
1752 ± 57 80% 50% 25% 16%
2
Sandy, UT
1733 ± 65 82% 50% 32% 14%
7
Salt Lake City, UT
1715 ± 61 72% 36% 21% 8%
9
Orem, UT
1731 ± 69 70% 34% 15% 8%
3
Salt Lake City, UT
1709 ± 76 61% 36% 18% 7%
11
Salt Lake City, UT
1693 ± 67 72% 36% 16% 5%
4
Salt Lake City, UT
1686 ± 98 73% 20% 7% 3%
14
Murray, UT
1673 ± 76 39% 20% 7% 2%
8
Salt Lake City, UT
1661 ± 69 30% 9% 2% 1%
10
Salt Lake City, UT
1643 ± 63 28% 9% 3% <1%
16
Kearns, UT
1646 ± 67 20% 7% 2% <1%
15
Parts Unknown, Earth
1614 ± 63 18% 5% 1% <1%
6
Salt Lake City, UT
1617 ± 63 28% 8% 2% <1%
13
Ogden, UT
1604 ± 74 27% 3% <1% <1%
12
Salt Lake City, UT
1608 ± 63 9% 3% <1% <1%

VERMONT

2023 IFPA NACS Predictions: VERMONT
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
9
Ottawa, ON
1728 ± 88 73% 53% 43% 34%
3
Parts Unknown, VT
1658 ± 84 77% 44% 31% 14%
1
South Burlington, VT
1660 ± 69 60% 22% 15% 9%
12
Burlington, VT
1640 ± 114 63% 46% 16% 9%
6
Charlotte, VT
1635 ± 100 51% 26% 17% 7%
11
Albany, NY
1630 ± 59 49% 24% 16% 6%
2
Williston, VT
1598 ± 94 81% 49% 18% 5%
8
Burlington, VT
1648 ± 92 27% 13% 8% 5%
16
New York, NY
1625 ± 104 40% 11% 6% 3%
7
Parts Unknown, VT
1583 ± 96 68% 35% 12% 3%
5
Colchester, VT
1596 ± 82 37% 23% 6% 2%
4
Parts Unknown, VT
1559 ± 80 51% 16% 3% 1%
13
Montpelier, VT
1556 ± 98 49% 15% 3% <1%
14
Burlington, VT
1564 ± 98 23% 7% 3% <1%
10
West Chester, PA
1523 ± 86 32% 11% 2% <1%
15
Eagleville, PA
1486 ± 90 19% 6% <1% <1%

VIRGINIA

2023 IFPA NACS Predictions: VIRGINIA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
4
Sterling, VA
1845 ± 98 100% 92% 76% 44% 33%
8
Fairfax, VA
1848 ± 102 100% 87% 73% 42% 32%
6
Fairfax, VA
1791 ± 118 100% 70% 53% 38% 14%
15
Richmond, VA
1756 ± 104 86% 62% 45% 23% 7%
1
Richmond, VA
1739 ± 88 100% 77% 20% 6% 3%
11
Fairfax, VA
1737 ± 90 83% 29% 18% 10% 2%
5
Alexandria, VA
1736 ± 78 100% 67% 16% 4% 2%
3
Richmond, VA
1712 ± 90 100% 70% 23% 11% 2%
7
Richmond, VA
1694 ± 71 100% 79% 33% 11% 2%
2
Richmond, VA
1678 ± 63 100% 34% 17% 5% <1%
9
Parts Unknown, VA
1712 ± 80 65% 10% 5% 1% <1%
21
Parts Unknown, Earth
1689 ± 86 59% 21% 3% <1% <1%
20
Richmond, VA
1673 ± 80 79% 7% 3% <1% <1%
16
McLean, VA
1658 ± 106 65% 18% 2% <1% <1%
19
Parts Unknown, VA
1647 ± 71 51% 16% 3% 1% <1%
14
Fredericksburg, VA
1645 ± 74 49% 15% 2% <1% <1%
24
Richmond, VA
1662 ± 122 35% 3% <1% <1% <1%
18
Parts Unknown, VA
1612 ± 80 14% 5% 2% <1% <1%
12
Herndon, VA
1662 ± 57 41% 11% 1% <1% <1%
13
Richmond, VA
1571 ± 108 21% <1% <1% <1% <1%
17
Richmond, VA
1606 ± 74 35% 5% <1% <1% <1%
22
Richmond, VA
1609 ± 63 17% 2% <1% <1% <1%
10
Midlothian, VA
1574 ± 74 43% 8% 1% <1% <1%
23
Parts Unknown, VA
1597 ± 84 57% 13% 2% <1% <1%

WASHINGTON

2023 IFPA NACS Predictions: WASHINGTON
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
5
Seattle, WA
1800 ± 61 100% 88% 60% 33% 18%
15
Seattle, WA
1821 ± 88 83% 57% 44% 28% 17%
1
Redmond, WA
1800 ± 61 100% 53% 39% 23% 12%
17
Edmonds, WA
1807 ± 51 82% 43% 33% 20% 11%
6
Seattle, WA
1786 ± 57 100% 73% 38% 20% 10%
14
White Rock, BC
1790 ± 82 78% 42% 25% 13% 7%
3
Seattle, WA
1775 ± 69 100% 52% 27% 14% 6%
2
Seattle, WA
1757 ± 73 100% 37% 22% 10% 4%
4
Seattle, WA
1745 ± 69 100% 57% 22% 9% 4%
8
Carnation, WA
1732 ± 55 100% 62% 19% 7% 3%
20
Bremerton, WA
1738 ± 59 64% 31% 12% 4% 2%
7
Bremerton, WA
1717 ± 63 100% 47% 14% 5% 1%
23
Seattle, WA
1730 ± 71 51% 27% 9% 3% 1%
10
Seattle, WA
1726 ± 71 49% 26% 8% 3% <1%
22
Bremerton, WA
1711 ± 67 51% 14% 4% 1% <1%
9
Seattle, WA
1699 ± 55 53% 22% 5% 1% <1%
11
Seattle, WA
1706 ± 59 49% 13% 4% 1% <1%
24
Bremerton, WA
1690 ± 53 47% 17% 3% <1% <1%
13
Bothell, Earth
1690 ± 67 36% 12% 3% <1% <1%
18
Seattle, WA
1697 ± 51 17% 6% 2% <1% <1%
12
Renton, WA
1665 ± 53 68% 10% 3% <1% <1%
19
Seattle, WA
1690 ± 71 22% 6% 2% <1% <1%
16
Seattle, WA
1686 ± 61 18% 3% 1% <1% <1%
21
Seattle, WA
1606 ± 73 32% 2% <1% <1% <1%

WEST VIRGINIA

2023 IFPA NACS Predictions: WEST VIRGINIA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
3
Beckley, WV
1794 ± 141 99% 86% 76% 61%
1
Morgantown, WV
1705 ± 73 92% 78% 59% 21%
2
Washington, PA
1665 ± 67 79% 70% 15% 8%
4
New Albany, OH
1645 ± 80 84% 61% 24% 5%
6
Fairmont, WV
1654 ± 67 79% 12% 7% 3%
5
Morgantown, WV
1587 ± 86 69% 27% 7% <1%
9
Morgantown, WV
1587 ± 110 66% 15% 6% <1%
15
Morgantown, WV
1556 ± 125 21% 13% <1% <1%
10
Morgantown, WV
1532 ± 90 69% 14% <1% <1%
11
Parts Unknown, Earth
1550 ± 141 21% <1% <1% <1%
8
Parts Unknown, WV
1534 ± 104 34% 5% 1% <1%
12
Fairmont, WV
1522 ± 114 31% 7% 1% <1%
16
Grafton, WV
1500 ± 294 8% 2% <1% <1%
13
Morgantown, WV
1513 ± 84 16% 5% <1% <1%
7
Morgantown, WV
1468 ± 73 31% 3% <1% <1%
14
Morgantown, WV
1484 ± 76 1% <1% <1% <1%

WISCONSIN

2023 IFPA NACS Predictions: WISCONSIN
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Lonsdale, MN
1808 ± 49 100% 77% 54% 33% 20%
2
Palatine, IL
1797 ± 59 100% 78% 58% 34% 19%
5
Park Ridge, IL
1798 ± 67 100% 73% 49% 28% 16%
3
Appleton, WI
1790 ± 63 100% 62% 40% 24% 12%
20
Flint, MI
1767 ± 90 63% 41% 20% 10% 5%
6
Milwaukee, WI
1749 ± 73 100% 59% 25% 12% 5%
8
Appleton, WI
1751 ± 61 100% 59% 22% 10% 5%
14
Stevens Point, WI
1758 ± 55 53% 21% 12% 6% 3%
7
Cudahy, WI
1727 ± 65 100% 62% 22% 8% 3%
9
Appleton, WI
1741 ± 47 73% 35% 13% 5% 2%
4
De Pere, WI
1717 ± 49 100% 40% 13% 5% 2%
11
Manitowoc, WI
1735 ± 63 66% 30% 11% 5% 2%
19
Oregon, WI
1747 ± 69 47% 17% 9% 4% 2%
16
Sussex, WI
1730 ± 59 65% 18% 8% 3% 1%
12
Oshkosh, WI
1728 ± 51 57% 17% 8% 3% 1%
10
Manitowoc, WI
1707 ± 49 67% 30% 8% 3% <1%
13
Neenah, WI
1723 ± 43 37% 19% 6% 2% <1%
15
Green Bay, WI
1710 ± 55 61% 15% 8% 3% <1%
21
Madison, WI
1705 ± 80 43% 10% 4% 1% <1%
18
Green Bay, WI
1673 ± 59 39% 6% 2% <1% <1%
22
Minneapolis, Earth
1685 ± 55 34% 11% 3% <1% <1%
17
Beverly Shores, IN
1681 ± 49 35% 5% 2% <1% <1%
23
Green Bay, WI
1650 ± 45 33% 9% 2% <1% <1%
24
Neenah, WI
1663 ± 63 27% 7% 1% <1% <1%

About

The above predictions are created by leveraging the excellent ratings provided by matchplay.events, which are an implementation of the glicko rating system. For those unfamiliar, ratings are a way of measuring the skill of a player. The ratings are estimated by making predictions about the outcome of each match, observing the outcome, then updating the ratings accordingly.

Importantly, the ratings intrinsically provide the ability to make predictions about a match. For example, if a player with a rating of 1904 plays another player with a rating of 1660, player 1 has an 80.2% chance of winning that game. (\(\frac{1}{1+10^{-(1904-1660)}}=.802\)). Once we know the likelihood of an outcome we can simulate a best-of-7 series by essentially flipping a weighted coin seven times, where the coin is weighted by the probability we previously determined. The player with 4 or more wins, will take the series and advance to the next round. Then we play out the whole bracket in this manner until a winner is crowned. Of course, this only gives us one possible outcome. So we repeat the whole process 10,000 times and summarize the results. Thus the tables above are essentially the percent of times in the 10,000 simulations that a player achieved that level of performance.

Naturally the predictions are only as good as the ratings themselves. While ratings in theory should eventually converge on a players “true” rating, in practice this is rarely true. Players who don’t play in tournaments run by matchplay won’t have as much data. Stronger players that play in a lot of local tournaments will tend to have ratings that are higher than they probably truly are. As a result, you may seem some players have higher/lower odds than seems likely.

Hope you enjoy, and please let me know if anything seems wrong.

This page has no affiliation with the IFPA or matchplay.events. It was made entirely in the spirit of learning and fun.