Note: this is just a fun side project. I was not able to do extensive QA, so please let me know if you notice any errors or irregularities.
Note 2: North Dakota is not included because they are unable to field a 16 player bracket and my flimsy code can not handle that. Similarly, Nova Scotia has a 4-way tie for the 16th position. Until there is an even 16 players I am unable to include them.
1/13/2023 Update: due to a bug, the previously published results showed the odds for a best-of-one series instead of a best-of-seven. The new results should be correct.
1/19/2023 Update: I reran simulations with a fresh pull of ratings from matchplay. Results may have shifted. Also, you can now view player-vs-player predictions by clicking on player names on state result tables.


How these predictions are made

Overall

2022 IFPA NACS Favorites
Chances of winning state finals
state Player (Seed) MP Rating WIN CHANCE
alabama
Braden Gentry (3)
Auburn, AL
1772 ± 65 40%
alberta
Mike Tzanakos (2)
Calgary, AB
1807 ± 61 36%
arizona
Will McKinney (2)
Phoenix, AZ
1817 ± 63 26%
arkansas
Mike Malone (2)
Fayetteville, AR
1709 ± 65 25%
british columbia
Robert Gagno (1)
Burnaby, BC
1811 ± 74 31%
california
Jim Belsito (5)
Murrieta, CA
1864 ± 84 27%
colorado
Walt Wood (1)
Englewood, CO
1924 ± 69 70%
connecticut
Tyler Aas (1)
Vernon, CT
1685 ± 63 35%
delaware
Jason Zahler (1)
Parts Unknown, NJ
1881 ± 73 72%
district of columbia
David Barber (3)
Manassas, VA
1783 ± 90 60%
florida
Eric Stone (1)
Fort Myers, FL
1927 ± 76 75%
georgia
Dalton Ely (1)
Rockmart, GA
1828 ± 69 60%
idaho
Xyren Silvers (5)
Boise, ID
1818 ± 73 62%
illinois
Raymond Davidson (3)
Elk Grove Village, IL
1829 ± 57 41%
indiana
Tommy Skinner (19)
Lafayette, IN
1811 ± 65 24%
iowa
Cody McQuiston (1)
Parts Unknown, IA
1721 ± 84 41%
kansas
Eric German (6)
Kansas City, MO
1835 ± 86 54%
kentucky
Jesse Baker (8)
Cincinnati, OH
1817 ± 63 35%
Louisiana
Nick Mueller (1)
Parts Unknown, FL
1819 ± 100 88%
maine
Joey Harwood (4)
Portland, ME
1692 ± 106 30%
manitoba
Jack Tadman (3)
Winnipeg, MB
1802 ± 69 35%
maryland
Dave Hubbard (2)
Cooksville, MD
1802 ± 71 33%
massachusetts
Bowen Kerins (2)
Salem, MA
1824 ± 69 64%
michigan
Jared August (8)
West Bloomfield Township, MI
1847 ± 63 42%
minnesota
Mark Larson (4)
Parts Unknown, Earth
1796 ± 67 26%
mississippi
Steve Dobbins (1)
Corinth, MS
1799 ± 88 76%
missouri
John Miller MO (2)
St. Louis, MO
1830 ± 59 39%
nebraska
Tiler Hall (4)
Omaha, NE
1792 ± 100 54%
nevada
Steve Strom (4)
Las Vegas, NV
1727 ± 71 19%
new brunswick
Pat Herrington (1)
Fredericton, NB
1770 ± 94 66%
new hampshire
Brian O'Neill NH (1)
Portsmouth, NH
1765 ± 65 59%
new jersey
Anthony Lambos Jr (1)
Hamburg, NJ
1786 ± 57 60%
new mexico
Ben Cressy (2)
Albuquerque, NM
1850 ± 104 73%
new york
Sean Grant (17)
New York, NY
1800 ± 98 26%
north carolina
Drew Cedolia (2)
Greensboro, NC
1790 ± 69 27%
ohio
James Scott OH (3)
Worthington, OH
1851 ± 69 25%
oklahoma
Brian Daniels (1)
Broken Arrow, OK
1726 ± 73 25%
ontario
Adam Becker (2)
Keswick, ON
1747 ± 55 27%
oregon
Colin Urban (5)
Portland, OR
1881 ± 86 53%
pennsylvania
Aleksander Kaczmarczyk (3)
Parts Unknown, PA
1844 ± 82 59%
quebec
Ben Dowie (2)
Montreal, QC
1709 ± 90 30%
rhode island
Nick DeStefano (2)
Holliston, MA
1698 ± 71 43%
saskatchewan
Bob Rhinelander (2)
Regina, SK
1766 ± 65 37%
south carolina
Chad Patz (3)
Charleston, SC
1762 ± 74 24%
south dakota
Jason Lanpher (3)
Parts Unknown, Earth
1818 ± 108 54%
tennessee
Jason Wilson TN (1)
Smyrna, TN
1809 ± 63 37%
texas
Wesley Johnson (2)
College Station, TX
1846 ± 59 19%
utah
Kelly Thomson (3)
Salt Lake City, UT
1736 ± 82 20%
vermont
Connor Shlatz (1)
Burlington, VT
1650 ± 78 25%
virginia
Austin Mackert (7)
Fairfax, VA
1867 ± 82 55%
washington
Lonnie Langford (2)
Seattle, WA
1831 ± 71 30%
west virginia
Aaron Metz (6)
Beckley, WV
1853 ± 139 64%
wisconsin
Escher Lefkoff (1)
Parts Unknown, CO
1904 ± 55 62%

By state/province

ALABAMA

2022 IFPA NACS Predictions: ALABAMA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
3
Auburn, AL
1772 ± 65 95% 83% 66% 40%
4
Auburn, AL
1759 ± 84 90% 79% 49% 28%
1
Parts Unknown, Earth
1743 ± 74 95% 69% 37% 18%
2
Birmingham, AL
1694 ± 76 71% 51% 18% 7%
9
Parts Unknown, Earth
1679 ± 90 74% 25% 9% 3%
6
Rumford, ME
1644 ± 74 66% 13% 5% 1%
10
Parts Unknown, Earth
1623 ± 80 50% 17% 3% <1%
15
Aliso Viejo, CA
1623 ± 78 29% 15% 3% <1%
7
Birmingham, AL
1620 ± 65 50% 17% 3% <1%
5
Helena, AL
1622 ± 69 62% 12% 3% <1%
12
Meridianville, AL
1586 ± 67 38% 5% <1% <1%
11
Huntsville, AL
1589 ± 76 34% 3% <1% <1%
8
Birmingham, AL
1599 ± 80 26% 4% <1% <1%
13
Birmingham, Earth
1588 ± 73 10% 5% <1% <1%
14
Birmingham, AL
1551 ± 80 5% 1% <1% <1%
16
Meridianville, AL
1526 ± 69 5% <1% <1% <1%

ALBERTA

2022 IFPA NACS Predictions: ALBERTA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Calgary, AB
1807 ± 61 89% 76% 47% 36%
3
Edmonton, AB
1798 ± 69 79% 63% 35% 26%
1
Calgary, AB
1760 ± 49 66% 42% 30% 13%
9
Calgary, AB
1730 ± 65 70% 33% 20% 7%
11
Chestermere, AB
1708 ± 67 70% 22% 7% 3%
5
Edmonton, AB
1700 ± 73 52% 29% 11% 3%
16
Thousand Oaks, CA
1707 ± 51 34% 17% 10% 3%
4
Edmonton, AB
1690 ± 65 53% 26% 9% 2%
12
Calgary, AB
1692 ± 61 48% 24% 9% 2%
10
Edmonton, AB
1684 ± 74 71% 16% 5% 2%
13
Calgary, AB
1683 ± 65 47% 21% 7% 2%
14
Calgary, AB
1696 ± 67 21% 11% 3% 1%
8
Edmonton, AB
1666 ± 74 30% 8% 4% <1%
15
Edmonton, AB
1645 ± 78 11% 5% <1% <1%
6
Edmonton, AB
1637 ± 76 30% 4% <1% <1%
7
Edmonton, AB
1612 ± 67 29% 3% <1% <1%

ARIZONA

2022 IFPA NACS Predictions: ARIZONA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Phoenix, AZ
1817 ± 63 100% 81% 62% 41% 26%
1
Phoenix, AZ
1805 ± 57 100% 79% 60% 40% 23%
4
Parts Unknown, AZ
1776 ± 59 100% 80% 58% 30% 15%
3
Mesa, AZ
1786 ± 61 100% 81% 51% 27% 14%
11
Marana, AZ
1768 ± 71 88% 60% 31% 14% 7%
8
Phoenix, AZ
1727 ± 57 100% 65% 22% 10% 3%
5
Chandler, AZ
1718 ± 59 100% 72% 27% 9% 3%
10
Gilbert, AZ
1734 ± 65 71% 39% 12% 5% 2%
7
Mesa, AZ
1720 ± 51 100% 52% 15% 5% 2%
17
Mesa, AZ
1720 ± 65 73% 19% 10% 4% 1%
6
Phoenix, AZ
1708 ± 57 100% 37% 12% 4% 1%
18
Tempe, AZ
1721 ± 73 69% 16% 8% 3% 1%
9
Mesa, AZ
1696 ± 69 66% 26% 7% 2% <1%
14
Tucson, AZ
1692 ± 61 72% 17% 6% 1% <1%
20
Phoenix, AZ
1674 ± 65 53% 11% 5% 1% <1%
13
Gilbert, AZ
1664 ± 61 47% 9% 4% <1% <1%
12
Chandler, AZ
1661 ± 65 65% 21% 5% 1% <1%
24
Phoenix, AZ
1645 ± 57 34% 9% 1% <1% <1%
16
Tempe, AZ
1639 ± 59 27% 3% <1% <1% <1%
15
Phoenix, AZ
1653 ± 53 31% 3% <1% <1% <1%
23
Chandler, AZ
1663 ± 69 29% 10% 2% <1% <1%
19
Parts Unknown, AZ
1617 ± 55 28% 3% <1% <1% <1%
21
Chandler, AZ
1611 ± 61 35% 7% <1% <1% <1%
22
Chandler, AZ
1611 ± 59 12% 3% <1% <1% <1%

ARKANSAS

2022 IFPA NACS Predictions: ARKANSAS
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Fayetteville, AR
1709 ± 65 71% 56% 40% 25%
1
Fayetteville, AR
1698 ± 57 79% 50% 32% 19%
5
Fayetteville, AR
1662 ± 53 92% 49% 23% 11%
3
Fayetteville, AR
1649 ± 53 82% 46% 20% 9%
9
Coal Hill, AR
1666 ± 61 58% 27% 15% 8%
4
Parts Unknown, AR
1661 ± 59 58% 31% 14% 7%
6
Fayetteville, AR
1637 ± 61 55% 30% 13% 5%
15
Fayetteville, AR
1637 ± 86 29% 18% 9% 3%
8
Fayetteville, AR
1639 ± 65 42% 17% 7% 3%
13
Parts Unknown, Earth
1633 ± 65 42% 19% 7% 3%
11
Conway, AR
1618 ± 57 45% 20% 7% 2%
10
Fayetteville, AR
1612 ± 61 55% 15% 7% 2%
7
Hope, AR
1597 ± 53 45% 11% 4% 1%
16
Bentonville, AR
1591 ± 65 21% 6% 2% <1%
14
Bentonville, AR
1530 ± 67 18% 4% <1% <1%
12
Fayetteville, AR
1480 ± 80 8% <1% <1% <1%

BRITISH COLUMBIA

2022 IFPA NACS Predictions: BRITISH COLUMBIA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Burnaby, BC
1811 ± 74 84% 63% 44% 31%
2
Vancouver, BC
1773 ± 71 89% 68% 48% 24%
4
Parts Unknown, Earth
1772 ± 69 73% 49% 24% 14%
8
Vancouver, BC
1741 ± 71 74% 26% 13% 7%
6
Victoria, BC
1717 ± 98 52% 30% 12% 4%
3
Burnaby, BC
1709 ± 63 58% 28% 11% 3%
5
Vancouver, BC
1720 ± 63 54% 22% 7% 3%
11
Port Coquitlam, BC
1712 ± 88 48% 26% 10% 3%
10
Vancouver, BC
1692 ± 71 83% 26% 12% 3%
12
Vancouver, BC
1711 ± 69 46% 18% 6% 2%
14
Coquitlam, BC
1681 ± 69 42% 16% 5% 1%
13
New Westminster, BC
1692 ± 73 27% 12% 3% 1%
16
Vancouver, BC
1683 ± 59 16% 7% 2% <1%
9
Nanaimo, BC
1661 ± 53 26% 4% 1% <1%
15
Vancouver, Earth
1618 ± 63 11% 4% 1% <1%
7
Victoria, BC
1570 ± 59 17% 2% <1% <1%

CALIFORNIA

2022 IFPA NACS Predictions: CALIFORNIA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
5
Murrieta, CA
1864 ± 84 100% 91% 50% 36% 27%
4
Fontana, CA
1864 ± 65 100% 90% 47% 34% 25%
1
San Francisco, CA
1821 ± 59 100% 64% 53% 20% 13%
7
Glendora, CA
1804 ± 61 100% 62% 34% 25% 9%
2
San Diego, CA
1799 ± 67 100% 60% 31% 22% 8%
23
Walnut Creek, CA
1785 ± 59 78% 34% 17% 11% 4%
15
Lakewood, CA
1780 ± 63 84% 37% 17% 11% 3%
3
Hacienda Heights, CA
1749 ± 65 100% 61% 38% 14% 3%
17
Running Springs, CA
1777 ± 78 51% 19% 14% 4% 2%
16
Davis, CA
1772 ± 71 49% 17% 12% 3% 2%
14
Berkeley, CA
1732 ± 61 79% 35% 20% 7% 1%
6
Los Angeles, CA
1717 ± 63 100% 59% 26% 7% 1%
8
Parts Unknown, CA
1704 ± 51 100% 53% 12% 2% <1%
11
Parts Unknown, Earth
1693 ± 98 53% 23% 9% 2% <1%
24
Elk Grove, CA
1695 ± 55 52% 25% 5% <1% <1%
22
El Cajon, CA
1681 ± 69 47% 18% 6% 1% <1%
9
Carmel-by-the-Sea, CA
1689 ± 55 48% 22% 4% <1% <1%
10
San Diego, CA
1687 ± 78 22% 4% <1% <1% <1%
21
San Jose, CA
1697 ± 59 60% 6% <1% <1% <1%
13
San Francisco, CA
1699 ± 84 53% 6% <1% <1% <1%
20
San Francisco, CA
1690 ± 57 47% 5% <1% <1% <1%
12
Morgan Hill, CA
1666 ± 67 40% 3% <1% <1% <1%
19
Parts Unknown, CA
1627 ± 55 21% 4% 1% <1% <1%
18
San Francisco, CA
1653 ± 63 16% 2% <1% <1% <1%

COLORADO

2022 IFPA NACS Predictions: COLORADO
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Englewood, CO
1924 ± 69 100% 98% 93% 82% 70%
2
Conifer, CO
1823 ± 78 100% 83% 59% 45% 13%
4
Lakewood, CO
1795 ± 108 100% 67% 57% 11% 6%
7
Denver, CO
1768 ± 92 100% 85% 34% 22% 4%
11
Boulder, CO
1744 ± 69 90% 51% 34% 12% 2%
20
Parts Unknown, CO
1751 ± 88 63% 24% 18% 2% 1%
6
Denver, CO
1725 ± 94 100% 48% 30% 9% 1%
3
Denver, CO
1703 ± 74 100% 68% 28% 7% <1%
8
Parts Unknown, CO
1725 ± 96 100% 77% 6% 2% <1%
18
Fort Collins, CO
1712 ± 94 64% 12% 5% 2% <1%
13
Conifer, CO
1707 ± 112 37% 10% 6% <1% <1%
12
Fort Collins, CO
1672 ± 92 64% 35% 8% <1% <1%
5
Denver, CO
1652 ± 110 100% 50% 9% <1% <1%
14
Aurora, CO
1650 ± 67 55% 19% 5% <1% <1%
19
Denver, CO
1633 ± 84 45% 13% 3% <1% <1%
9
Boulder, CO
1632 ± 74 54% 13% <1% <1% <1%
15
Fort Collins, CO
1668 ± 94 36% 4% 1% <1% <1%
17
Lafayette, CO
1637 ± 88 46% <1% <1% <1% <1%
22
Northglenn, CO
1575 ± 76 10% 1% <1% <1% <1%
10
Denver, CO
1633 ± 76 49% 7% <1% <1% <1%
21
Denver, CO
1626 ± 71 36% 15% 2% <1% <1%
16
Denver, CO
1646 ± 63 54% <1% <1% <1% <1%
24
Denver, CO
1618 ± 74 46% 10% <1% <1% <1%
23
Denver, CO
1635 ± 76 51% 7% <1% <1% <1%

CONNECTICUT

2022 IFPA NACS Predictions: CONNECTICUT
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Vernon, CT
1685 ± 63 93% 72% 47% 35%
4
Parts Unknown, Earth
1648 ± 76 81% 48% 22% 14%
2
North Stonington, CT
1621 ± 63 80% 54% 32% 13%
5
Parts Unknown, CT
1639 ± 67 77% 40% 18% 11%
11
New Haven, CT
1611 ± 63 59% 35% 19% 7%
3
Parts Unknown, CT
1604 ± 61 72% 37% 20% 7%
7
Hamden, CT
1577 ± 74 63% 27% 12% 3%
9
Parts Unknown, CT
1599 ± 73 54% 15% 6% 3%
6
Meriden, CT
1581 ± 67 41% 20% 10% 3%
8
Bloomfield, CT
1587 ± 61 46% 12% 4% 2%
10
West Hartford, CT
1536 ± 61 37% 12% 4% <1%
14
East Hartford, CT
1528 ± 73 28% 8% 3% <1%
12
Parts Unknown, Earth
1540 ± 74 23% 6% 1% <1%
15
Parts Unknown, CT
1505 ± 84 20% 6% 2% <1%
13
Meriden, CT
1537 ± 55 19% 5% <1% <1%
16
New Haven, CT
1492 ± 59 7% 2% <1% <1%

DELAWARE

2022 IFPA NACS Predictions: DELAWARE
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Parts Unknown, NJ
1881 ± 73 97% 93% 86% 72%
6
Cinnaminson, NJ
1764 ± 90 83% 56% 30% 8%
10
Parts Unknown, Earth
1760 ± 84 82% 46% 26% 7%
2
Medford, NJ
1760 ± 84 71% 39% 22% 6%
4
Parts Unknown, DE
1710 ± 63 76% 54% 8% 3%
3
Parts Unknown, NY
1711 ± 67 51% 20% 8% 1%
14
Parts Unknown, NJ
1708 ± 63 49% 20% 8% 1%
5
Parts Unknown, PA
1660 ± 69 73% 30% 2% <1%
15
Parts Unknown, NJ
1688 ± 74 29% 10% 4% <1%
8
Erma, NJ
1662 ± 61 58% 4% 2% <1%
9
Parts Unknown, Earth
1638 ± 65 42% 2% <1% <1%
11
Wilmington, DE
1639 ± 51 17% 4% <1% <1%
16
Magnolia, AR
1634 ± 73 3% 1% <1% <1%
7
Parts Unknown, Earth
1645 ± 69 18% 4% 1% <1%
13
Exton, PA
1617 ± 55 24% 10% <1% <1%
12
Parts Unknown, VA
1582 ± 63 27% 6% <1% <1%

DISTRICT OF COLUMBIA

2022 IFPA NACS Predictions: DISTRICT OF COLUMBIA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
3
Manassas, VA
1783 ± 90 96% 90% 72% 60%
2
Washington, DC
1690 ± 88 95% 70% 21% 13%
13
Washington, DC
1681 ± 120 75% 51% 31% 9%
1
Washington, DC
1654 ± 63 74% 41% 21% 6%
9
Alexandria, VA
1654 ± 86 74% 42% 21% 5%
5
Washington, DC
1640 ± 76 64% 28% 14% 3%
10
Washington, DC
1621 ± 106 57% 18% 3% 1%
11
Parts Unknown, MD
1597 ± 57 64% 7% 2% <1%
12
Silver Spring, MD
1594 ± 84 36% 11% 4% <1%
7
Washington, DC
1598 ± 65 43% 11% 1% <1%
4
Silver Spring, MD
1593 ± 69 25% 10% 4% <1%
8
Parts Unknown, WA
1574 ± 90 26% 9% 2% <1%
16
Baltimore, MD
1570 ± 63 26% 8% 2% <1%
6
Parts Unknown, Earth
1549 ± 69 36% 2% <1% <1%
14
Washington, DC
1545 ± 102 4% 1% <1% <1%
15
Parts Unknown, MD
1473 ± 57 5% <1% <1% <1%

FLORIDA

2022 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
1927 ± 76 100% 98% 94% 81% 75%
5
Parts Unknown, Earth
1805 ± 69 100% 93% 68% 14% 10%
7
St Augustine, FL
1753 ± 74 100% 87% 52% 31% 4%
3
Fort Lauderdale, FL
1744 ± 53 100% 88% 56% 29% 4%
2
Orange Park, FL
1737 ± 57 100% 78% 39% 21% 3%
6
Lakeland, FL
1717 ± 63 100% 72% 34% 15% 2%
4
St. Petersburg, FL
1736 ± 71 100% 65% 22% 2% 1%
9
Oviedo, FL
1723 ± 78 76% 51% 4% 1% <1%
13
Parkland, FL
1708 ± 114 84% 34% 9% <1% <1%
22
Tybee Island, GA
1660 ± 78 71% 24% 7% 2% <1%
8
Temple Terrace, FL
1669 ± 55 100% 40% 1% <1% <1%
18
DeLand, FL
1633 ± 73 47% 10% 2% <1% <1%
17
Saint Petersburg, FL
1650 ± 57 54% <1% <1% <1% <1%
15
Lake Mary, FL
1640 ± 69 53% 12% 3% <1% <1%
14
Tampa, FL
1605 ± 55 66% 9% 2% <1% <1%
23
Pompano Beach, FL
1623 ± 73 60% 9% 2% <1% <1%
21
Jacksonville, FL
1606 ± 73 46% 3% <1% <1% <1%
12
Tampa, FL
1618 ± 55 54% 4% <1% <1% <1%
20
Orange Park, FL
1578 ± 59 16% 2% <1% <1% <1%
11
Callahan, FL
1587 ± 78 29% 5% <1% <1% <1%
19
Apollo Beach, FL
1551 ± 106 34% 2% <1% <1% <1%
16
Lake Mary, FL
1632 ± 71 46% <1% <1% <1% <1%
24
Orlando, FL
1631 ± 63 24% 9% <1% <1% <1%
10
Lakeland, FL
1591 ± 65 40% 4% <1% <1% <1%

GEORGIA

2022 IFPA NACS Predictions: GEORGIA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Rockmart, GA
1828 ± 69 92% 87% 71% 60%
15
Parts Unknown, Earth
1722 ± 80 66% 55% 36% 11%
4
Atlanta, GA
1725 ± 74 90% 50% 14% 9%
5
Decatur, GA
1716 ± 80 60% 31% 9% 5%
11
Valdosta, GA
1688 ± 65 55% 33% 17% 4%
3
Atlanta, GA
1671 ± 57 56% 25% 12% 2%
2
Parts Unknown, Earth
1667 ± 63 34% 23% 11% 2%
6
Atlanta, GA
1673 ± 67 45% 24% 11% 2%
12
Atlanta, GA
1684 ± 84 40% 17% 4% 2%
14
Marietta, GA
1651 ± 67 44% 18% 7% 1%
9
Daytona Beach, FL
1631 ± 84 70% 7% 2% <1%
16
Decatur, GA
1641 ± 76 8% 5% 1% <1%
10
Atlanta, GA
1600 ± 80 50% 11% 3% <1%
7
Parts Unknown, Earth
1600 ± 63 50% 11% 3% <1%
13
Atlanta, GA
1555 ± 71 10% 1% <1% <1%
8
Auburn, AL
1564 ± 65 30% 1% <1% <1%

IDAHO

2022 IFPA NACS Predictions: IDAHO
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
5
Boise, ID
1818 ± 73 82% 77% 68% 62%
1
Boise, ID
1677 ± 59 87% 65% 15% 9%
2
Nampa, ID
1659 ± 55 91% 56% 33% 7%
12
Boise, ID
1703 ± 71 18% 14% 9% 6%
3
Boise, ID
1650 ± 67 78% 46% 24% 5%
6
Meridian, ID
1641 ± 67 74% 40% 19% 4%
10
Boise, ID
1635 ± 59 58% 27% 14% 2%
4
Boise, ID
1627 ± 63 77% 9% 4% 2%
8
Boise, ID
1603 ± 61 71% 24% 3% 1%
7
Boise, ID
1606 ± 59 42% 16% 6% <1%
11
Parts Unknown, Earth
1560 ± 67 26% 8% 2% <1%
14
Nampa, ID
1548 ± 76 22% 7% 1% <1%
16
Boise, ID
1533 ± 65 13% 5% <1% <1%
9
Boise, ID
1530 ± 65 29% 5% <1% <1%
13
Boise, ID
1530 ± 65 23% <1% <1% <1%
15
Boise, ID
1485 ± 65 9% 1% <1% <1%

ILLINOIS

2022 IFPA NACS Predictions: ILLINOIS
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
3
Elk Grove Village, IL
1829 ± 57 100% 90% 79% 55% 41%
1
Elgin, IL
1784 ± 71 100% 80% 66% 47% 21%
2
Palatine, IL
1789 ± 55 100% 84% 58% 27% 17%
13
Chicago, IL
1741 ± 88 84% 56% 38% 19% 6%
7
Chicago, IL
1743 ± 73 100% 67% 28% 9% 5%
5
Chicago, IL
1697 ± 55 100% 64% 29% 11% 3%
4
Parts Unknown, Earth
1686 ± 69 100% 40% 21% 7% 1%
22
Chicago, IL
1702 ± 61 80% 48% 9% 3% 1%
8
Oaklawn, IL
1670 ± 61 100% 59% 15% 6% 1%
16
West Dundee, IL
1691 ± 92 64% 15% 9% 4% <1%
6
Parts Unknown, Earth
1670 ± 61 100% 47% 7% 2% <1%
10
Chicago, IL
1691 ± 53 56% 20% 6% 1% <1%
15
Evanston, IL
1679 ± 69 69% 14% 5% 1% <1%
12
Lansing, IL
1660 ± 59 56% 22% 7% 2% <1%
24
Des Plaines, IL
1658 ± 82 64% 29% 6% 2% <1%
19
Chicago, IL
1662 ± 53 54% 5% 3% <1% <1%
21
Saint Louis, MO
1638 ± 76 44% 14% 4% <1% <1%
23
Alton, IL
1672 ± 88 44% 13% 3% <1% <1%
17
Ferguson, MO
1646 ± 65 36% 5% 3% <1% <1%
14
Chicago, IL
1649 ± 61 46% 4% 2% <1% <1%
9
Edwardsville, IL
1614 ± 78 36% 12% 2% <1% <1%
20
Brookfield, IL
1611 ± 61 16% 4% 1% <1% <1%
11
Arlington Heights, IL
1595 ± 65 20% 6% <1% <1% <1%
18
Marengo, IL
1616 ± 55 31% 3% <1% <1% <1%

INDIANA

2022 IFPA NACS Predictions: INDIANA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
19
Lafayette, IN
1811 ± 65 90% 65% 51% 38% 24%
17
Plain City, OH
1814 ± 59 86% 48% 40% 31% 20%
1
Martinsville, IN
1797 ± 49 100% 50% 39% 29% 18%
2
Bluffton, IN
1733 ± 55 100% 78% 41% 16% 6%
7
Indianapolis, IN
1735 ± 55 100% 57% 32% 13% 5%
3
Fort Wayne, IN
1737 ± 59 100% 33% 20% 11% 4%
5
Indianapolis, IN
1723 ± 57 100% 57% 31% 10% 4%
22
Springville, IN
1734 ± 55 61% 44% 16% 8% 3%
4
Parts Unknown, Earth
1714 ± 55 100% 55% 27% 8% 3%
8
Columbia City, IN
1710 ± 61 100% 75% 17% 8% 3%
10
Indianapolis, IN
1730 ± 61 67% 33% 18% 7% 3%
13
Fort Wayne, IN
1719 ± 71 79% 40% 20% 7% 2%
21
Indianapolis, IN
1719 ± 65 71% 34% 18% 6% 2%
11
Logansport, IN
1698 ± 59 39% 24% 7% 3% <1%
6
Ligonier, IN
1656 ± 57 100% 32% 5% 2% <1%
23
Fort Wayne, IN
1669 ± 73 33% 10% 4% <1% <1%
18
Fort Wayne, IN
1640 ± 67 55% 13% 3% <1% <1%
12
Crown Point, IN
1653 ± 61 29% 8% 3% <1% <1%
16
Fort Wayne, IN
1674 ± 69 14% 2% 1% <1% <1%
9
Fort Wayne, IN
1636 ± 63 62% 18% 2% <1% <1%
14
Parts Unknown, IN
1649 ± 53 10% 3% <1% <1% <1%
24
Parts Unknown, Earth
1600 ± 71 38% 7% <1% <1% <1%
15
Fort Wayne, IN
1623 ± 63 45% 9% 2% <1% <1%
20
Fort Wayne, IN
1617 ± 59 21% 5% 1% <1% <1%

IOWA

2022 IFPA NACS Predictions: IOWA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Parts Unknown, IA
1721 ± 84 89% 84% 70% 41%
2
Des Moines, IA
1727 ± 123 57% 33% 27% 16%
7
Parkville, MO
1709 ± 74 56% 27% 21% 12%
15
Ankeny, IA
1704 ± 161 43% 21% 16% 9%
10
Parts Unknown, Earth
1691 ± 116 44% 19% 14% 8%
13
Des Moines, IA
1612 ± 100 78% 49% 15% 4%
6
Altoona, IA
1621 ± 106 80% 45% 11% 4%
14
West Des Moines, IA
1621 ± 96 80% 45% 11% 4%
12
Parts Unknown, Earth
1586 ± 59 66% 32% 7% 1%
16
Des Moines, IA
1563 ± 110 11% 8% 3% <1%
5
Parts Unknown, Earth
1532 ± 176 34% 12% 2% <1%
9
Cedar Falls, IA
1500 ± 294 54% 5% 1% <1%
4
Parts Unknown, Earth
1500 ± 294 22% 7% <1% <1%
3
Peosta, IA
1500 ± 294 20% 5% <1% <1%
11
Iowa City, IA
1500 ± 294 20% 5% <1% <1%
8
Waterloo, IA
1485 ± 194 46% 3% <1% <1%

KANSAS

2022 IFPA NACS Predictions: KANSAS
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
6
Kansas City, MO
1835 ± 86 94% 87% 64% 54%
1
Wichita, KS
1737 ± 71 89% 62% 43% 13%
15
Overland Park, KS
1774 ± 67 52% 38% 14% 10%
2
Kansas City, MO
1766 ± 67 48% 35% 13% 9%
13
Lawrence, KS
1694 ± 86 65% 42% 19% 4%
7
Kansas City, KS
1712 ± 74 76% 24% 6% 3%
8
Shawnee, KS
1679 ± 88 56% 21% 12% 2%
5
Wichita, KS
1665 ± 57 67% 31% 12% 2%
9
Kansas City, KS
1663 ± 57 44% 15% 7% 1%
4
Bates City, MO
1642 ± 63 35% 17% 5% <1%
14
Lawrence, KS
1649 ± 73 55% 6% 1% <1%
3
El Dorado, KS
1633 ± 57 45% 4% <1% <1%
12
Wichita, KS
1609 ± 61 33% 10% 2% <1%
10
Wichita, KS
1623 ± 63 24% 3% <1% <1%
11
Wichita, KS
1627 ± 67 6% 3% <1% <1%
16
Parts Unknown, KS
1573 ± 80 11% 2% <1% <1%

KENTUCKY

2022 IFPA NACS Predictions: KENTUCKY
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
8
Cincinnati, OH
1817 ± 63 87% 62% 53% 35%
2
Louisville, KY
1780 ± 61 97% 74% 41% 21%
3
Parts Unknown, Earth
1769 ± 63 88% 49% 27% 13%
1
Louisville, KY
1757 ± 57 87% 33% 24% 11%
11
Delaware, OH
1768 ± 49 76% 42% 22% 11%
4
New Albany, IN
1699 ± 59 79% 48% 12% 4%
7
Independence, KY
1702 ± 65 67% 20% 6% 2%
12
Sellersburg, IN
1667 ± 61 55% 26% 5% 1%
5
Louisville, KY
1653 ± 61 45% 20% 3% <1%
6
Louisville, KY
1678 ± 61 24% 7% 2% <1%
9
Maysville, KY
1666 ± 67 13% 4% 2% <1%
10
Louisville, KY
1647 ± 57 33% 6% 1% <1%
16
Louisville, KY
1612 ± 69 13% 1% <1% <1%
13
Louisville, KY
1590 ± 61 21% 6% <1% <1%
14
Columbia, SC
1619 ± 82 12% 2% <1% <1%
15
Corydon, IN
1532 ± 67 3% <1% <1% <1%

LOUISIANA

2022 IFPA NACS Predictions: LOUISIANA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Parts Unknown, FL
1819 ± 100 98% 97% 90% 88%
4
Parts Unknown, LA
1630 ± 112 90% 56% 6% 4%
10
Leesville, LA
1590 ± 149 72% 45% 32% 2%
5
Parks, LA
1600 ± 131 90% 41% 3% 2%
2
Lake Charles, LA
1565 ± 73 73% 37% 24% 2%
6
Parts Unknown, LA
1543 ± 104 62% 42% 18% <1%
14
Parts Unknown, Earth
1500 ± 294 58% 24% 8% <1%
11
Lake Charles, LA
1500 ± 294 38% 21% 7% <1%
7
Houma, LA
1513 ± 116 28% 11% 5% <1%
9
Parts Unknown, LA
1532 ± 131 56% 1% <1% <1%
8
Lake Charles, LA
1507 ± 108 44% <1% <1% <1%
16
Baton Rouge, LA
1517 ± 151 2% <1% <1% <1%
3
Parts Unknown, Earth
1470 ± 131 42% 13% 3% <1%
15
Baton Rouge, LA
1482 ± 131 27% 7% 3% <1%
13
Parts Unknown, Earth
1461 ± 118 10% 2% <1% <1%
12
Houston, TX
1418 ± 184 10% <1% <1% <1%

MAINE

2022 IFPA NACS Predictions: MAINE
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
4
Portland, ME
1692 ± 106 86% 64% 38% 30%
1
Portland, ME
1673 ± 84 89% 53% 29% 22%
9
Wakefield, MA
1653 ± 69 86% 42% 20% 14%
2
Portland, ME
1616 ± 71 67% 43% 28% 10%
3
Westbrook, ME
1582 ± 61 68% 38% 18% 5%
12
Parts Unknown, Earth
1618 ± 122 61% 21% 8% 5%
7
Parts Unknown, ME
1580 ± 76 58% 26% 14% 4%
11
Parts Unknown, Earth
1574 ± 74 56% 30% 13% 3%
15
Pittsfield, NH
1561 ± 106 33% 16% 8% 2%
6
Portland, ME
1553 ± 108 44% 21% 8% 1%
5
Portland, ME
1585 ± 86 39% 10% 3% 1%
10
Portland, ME
1550 ± 141 42% 15% 6% 1%
14
Portland, ME
1521 ± 102 32% 12% 4% <1%
13
Parts Unknown, Earth
1552 ± 65 14% 5% <1% <1%
8
Portland, ME
1512 ± 137 14% 2% <1% <1%
16
Parts Unknown, Earth
1516 ± 106 11% 2% <1% <1%

MANITOBA

2022 IFPA NACS Predictions: MANITOBA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
3
Winnipeg, MB
1802 ± 69 96% 79% 49% 35%
1
Winnipeg, MB
1755 ± 63 93% 80% 62% 26%
2
Winnipeg, MB
1786 ± 73 90% 62% 32% 23%
10
Winnipeg, MB
1743 ± 94 76% 32% 12% 7%
5
Winnipeg, MB
1687 ± 65 63% 43% 16% 4%
6
Winnipeg, MB
1687 ± 69 87% 19% 5% 2%
4
Winnipeg, MB
1642 ± 73 66% 28% 7% 1%
12
Parts Unknown, Earth
1644 ± 86 37% 20% 6% <1%
8
Winnipeg, MB
1627 ± 63 60% 12% 5% <1%
7
Winnipeg, MB
1652 ± 102 24% 5% <1% <1%
9
Winnipeg, MB
1595 ± 63 40% 6% 2% <1%
13
Parts Unknown, Earth
1591 ± 88 34% 9% 2% <1%
15
Big Black River, MB
1612 ± 80 10% 2% <1% <1%
16
Winnipeg, MB
1564 ± 69 7% 2% <1% <1%
14
Parts Unknown, MB
1582 ± 73 4% 1% <1% <1%
11
Winnipeg, MB
1536 ± 71 13% <1% <1% <1%

MARYLAND

2022 IFPA NACS Predictions: MARYLAND
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Cooksville, MD
1802 ± 71 100% 93% 74% 54% 33%
1
Catonsville, MD
1791 ± 63 100% 93% 77% 54% 31%
12
Evanston, IL
1767 ± 90 82% 62% 47% 23% 12%
6
Glen Burnie, MD
1719 ± 71 100% 83% 40% 14% 6%
19
Chevy Chase, MD
1746 ± 88 57% 35% 22% 9% 4%
7
Crofton, MD
1704 ± 86 100% 61% 16% 7% 3%
3
PG County, MD
1708 ± 51 100% 43% 22% 7% 2%
13
Baltimore, MD
1699 ± 67 64% 39% 17% 5% 2%
14
Baltimore, MD
1720 ± 73 43% 22% 13% 5% 2%
9
Baltimore, MD
1690 ± 59 86% 57% 14% 6% 2%
5
Columbia, MD
1676 ± 53 100% 30% 15% 4% 1%
4
Potomac, MD
1660 ± 51 100% 44% 13% 3% <1%
23
Suffolk, VA
1687 ± 92 66% 29% 7% 2% <1%
8
Washington, DC
1638 ± 49 100% 40% 6% 2% <1%
21
Derwood, MD
1648 ± 61 18% 8% 3% <1% <1%
20
Crofton, MD
1651 ± 71 36% 17% 5% <1% <1%
18
Potomac, MD
1622 ± 53 57% 5% 2% <1% <1%
10
Rockville, MD
1632 ± 51 34% 10% 1% <1% <1%
11
Parts Unknown, Earth
1606 ± 49 58% 11% 2% <1% <1%
17
Parts Unknown, VA
1602 ± 57 49% 3% 1% <1% <1%
16
Wheaton-Glenmont, MD
1607 ± 55 51% 4% 1% <1% <1%
22
Glen Burnie, MD
1579 ± 61 42% 6% <1% <1% <1%
24
Hagerstown, MD
1549 ± 71 14% 3% <1% <1% <1%
15
Alexandria, VA
1600 ± 67 43% 2% <1% <1% <1%

MASSACHUSETTS

2022 IFPA NACS Predictions: MASSACHUSETTS
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Salem, MA
1824 ± 69 98% 96% 90% 64%
1
Hopkinton, MA
1772 ± 63 97% 92% 87% 34%
3
Peabody, MA
1644 ± 90 77% 56% 6% 1%
4
Parts Unknown, MA
1575 ± 59 74% 44% 5% <1%
5
Hadley, MA
1560 ± 71 70% 37% 3% <1%
11
Boston, MA
1569 ± 67 50% 17% <1% <1%
10
Warren, MA
1567 ± 59 56% 2% <1% <1%
6
Waltham, MA
1566 ± 59 50% 17% <1% <1%
9
Parts Unknown, MA
1552 ± 76 58% 4% 2% <1%
14
Somerville, MA
1547 ± 104 23% 10% <1% <1%
16
Parts Unknown, MA
1524 ± 73 3% 2% <1% <1%
8
Chicopee, MA
1527 ± 65 42% 2% <1% <1%
7
Palmer, MA
1549 ± 61 44% 1% <1% <1%
15
Ware, MA
1526 ± 61 2% <1% <1% <1%
12
Three Rivers, MA
1492 ± 69 30% 9% <1% <1%
13
Holyoke, MA
1494 ± 108 26% 10% <1% <1%

MICHIGAN

2022 IFPA NACS Predictions: MICHIGAN
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
8
West Bloomfield Township, MI
1847 ± 63 100% 91% 61% 48% 42%
17
Flint, MI
1817 ± 71 89% 68% 30% 22% 18%
4
Spring Lake, MI
1764 ± 63 100% 58% 41% 13% 9%
14
Parts Unknown, MI
1727 ± 65 89% 57% 35% 20% 6%
2
Grand Rapids, MI
1717 ± 51 100% 58% 36% 19% 5%
13
Jackson, MI
1756 ± 76 75% 36% 24% 7% 5%
11
Grand Rapids, MI
1712 ± 69 69% 41% 21% 12% 3%
18
Kalamazoo, MI
1710 ± 74 72% 35% 21% 11% 2%
7
Fremont, MI
1686 ± 59 100% 54% 23% 11% 2%
6
Ypsilanti, MI
1683 ± 67 100% 47% 21% 10% 2%
1
Grand Rapids, MI
1724 ± 53 100% 29% 6% 3% 2%
3
Grand Blanc, MI
1681 ± 53 100% 41% 19% 8% 1%
12
Parts Unknown, MI
1710 ± 59 73% 40% 15% 3% 1%
5
Sour Lake, TX
1695 ± 57 100% 51% 17% 3% 1%
10
Portage, MI
1673 ± 71 50% 23% 9% 4% <1%
23
Parts Unknown, MI
1672 ± 69 50% 23% 9% 3% <1%
24
Brooklyn, MI
1690 ± 51 67% 7% 2% <1% <1%
22
Bay City, MI
1651 ± 49 31% 12% 4% 2% <1%
20
Saginaw, MI
1671 ± 65 25% 6% 2% <1% <1%
15
Lansing, MI
1633 ± 63 28% 7% 3% <1% <1%
21
Lansing, MI
1634 ± 63 27% 9% 2% <1% <1%
16
Livonia, MI
1656 ± 61 11% 3% <1% <1% <1%
9
Midland, MI
1637 ± 51 33% 2% <1% <1% <1%
19
Roseville, MI
1567 ± 57 11% 2% <1% <1% <1%

MINNESOTA

2022 IFPA NACS Predictions: MINNESOTA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
4
Parts Unknown, Earth
1796 ± 67 100% 83% 55% 34% 26%
1
Lonsdale, MN
1796 ± 49 100% 73% 54% 31% 24%
3
St Paul, MN
1728 ± 65 100% 80% 58% 35% 12%
12
Saint Paul, MN
1766 ± 67 91% 67% 31% 16% 11%
8
Parts Unknown, Earth
1724 ± 67 100% 63% 22% 8% 5%
15
Minneapolis, MN
1713 ± 63 74% 40% 24% 13% 4%
2
Coon Rapids, MN
1696 ± 61 100% 52% 29% 14% 4%
10
Minneapolis, MN
1699 ± 57 80% 45% 22% 11% 3%
7
Parts Unknown, MN
1679 ± 71 100% 50% 22% 10% 2%
6
Ham Lake, MN
1663 ± 63 100% 60% 22% 9% 2%
9
Minneapolis, Earth
1699 ± 57 79% 33% 10% 3% 1%
5
Northfield, MN
1687 ± 61 100% 31% 8% 2% 1%
16
Parts Unknown, Earth
1716 ± 88 50% 14% 7% 2% 1%
17
Norwood Young America, MN
1715 ± 86 50% 13% 7% 2% 1%
13
Parts Unknown, Earth
1682 ± 63 80% 16% 5% 2% <1%
11
Parts Unknown, MN
1648 ± 51 70% 32% 10% 3% <1%
14
Dayton, MN
1633 ± 61 59% 13% 6% 2% <1%
18
Saint Paul, OR
1629 ± 61 26% 8% 3% <1% <1%
19
Chaska, MN
1606 ± 47 41% 7% 2% <1% <1%
22
Parts Unknown, Earth
1582 ± 61 30% 8% 1% <1% <1%
24
Minneapolis, MN
1599 ± 57 21% 4% <1% <1% <1%
23
Parts Unknown, MN
1596 ± 63 20% 5% 1% <1% <1%
21
Blaine, MN
1590 ± 63 9% 2% <1% <1% <1%
20
Cambridge, MN
1575 ± 49 20% <1% <1% <1% <1%

MISSISSIPPI

2022 IFPA NACS Predictions: MISSISSIPPI
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Corinth, MS
1799 ± 88 99% 94% 88% 76%
2
Memphis, TN
1685 ± 51 90% 63% 49% 12%
7
Flowood, MS
1635 ± 76 77% 31% 19% 4%
12
Little Rock, AR
1616 ± 96 61% 43% 5% 2%
11
Ridgeland, MS
1603 ± 65 55% 32% 11% 1%
14
Brandon, MS
1589 ± 133 56% 26% 8% <1%
8
Parts Unknown, LA
1601 ± 73 60% 4% 2% <1%
6
Flowood, MS
1588 ± 78 45% 23% 7% <1%
5
Parts Unknown, Earth
1580 ± 69 39% 24% 2% <1%
4
Jackson, MS
1561 ± 98 84% 32% 2% <1%
3
Flowood, MS
1567 ± 61 44% 18% 5% <1%
9
Flowood, MS
1566 ± 69 40% 2% <1% <1%
10
Memphis, TN
1538 ± 65 23% 4% 1% <1%
15
Starkville, MS
1512 ± 69 10% 2% <1% <1%
13
Starkville, MS
1434 ± 63 16% 2% <1% <1%
16
Flowood, MS
1486 ± 76 1% <1% <1% <1%

MISSOURI

2022 IFPA NACS Predictions: MISSOURI
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
St. Louis, MO
1830 ± 59 100% 92% 83% 63% 39%
4
Olathe, KS
1816 ± 61 100% 83% 65% 41% 23%
1
Columbia, MO
1797 ± 57 100% 87% 70% 38% 19%
3
Kansas City, MO
1764 ± 69 100% 81% 52% 20% 8%
6
Columbia, MO
1733 ± 76 100% 81% 39% 12% 4%
21
Overland Park, KS
1741 ± 90 72% 46% 16% 7% 2%
8
Saint Louis, MO
1698 ± 59 100% 68% 19% 5% 1%
13
Kansas City, MO
1708 ± 57 78% 16% 8% 3% <1%
5
St. Louis, MO
1695 ± 61 100% 43% 9% 3% <1%
7
Kansas City, MO
1669 ± 61 100% 64% 10% 3% <1%
16
Saint Louis, MO
1659 ± 74 56% 8% 3% <1% <1%
9
St. Louis, MO
1652 ± 63 59% 21% 4% <1% <1%
14
Columbia, MO
1669 ± 59 63% 14% 5% <1% <1%
12
Kansas City, KS
1663 ± 67 28% 12% 2% <1% <1%
22
Pontoon Beach, IL
1630 ± 55 58% 13% 3% <1% <1%
15
St. Louis, MO
1652 ± 51 52% 4% 2% <1% <1%
18
St. Louis, MO
1646 ± 63 48% 4% 2% <1% <1%
17
Kansas City, MO
1641 ± 71 44% 5% 2% <1% <1%
19
Kansas City, MO
1627 ± 63 37% 5% 1% <1% <1%
10
Saint Charles, MO
1623 ± 59 49% 18% 2% <1% <1%
23
Parts Unknown, Earth
1623 ± 69 51% 18% 1% <1% <1%
20
Kansas City, MO
1609 ± 65 22% 1% <1% <1% <1%
11
St. Louis, MO
1606 ± 51 42% 7% <1% <1% <1%
24
Parts Unknown, MO
1622 ± 55 41% 11% 1% <1% <1%

NEBRASKA

2022 IFPA NACS Predictions: NEBRASKA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
4
Omaha, NE
1792 ± 100 99% 91% 70% 54%
2
Omaha, NE
1724 ± 82 96% 66% 43% 17%
1
Omaha, NE
1717 ± 71 91% 69% 23% 13%
3
Omaha, NE
1696 ± 71 74% 50% 24% 7%
7
Omaha, NE
1662 ± 80 51% 17% 9% 2%
8
Lincoln, NE
1644 ± 86 74% 25% 5% 2%
10
Omaha, NE
1658 ± 96 49% 17% 8% 2%
6
Omaha, NE
1644 ± 76 51% 21% 7% 1%
11
Blair, NE
1641 ± 84 49% 19% 6% 1%
5
Omaha, NE
1614 ± 84 66% 7% 2% <1%
14
Omaha, NE
1609 ± 82 26% 11% 3% <1%
12
Omaha, NE
1561 ± 84 34% 2% <1% <1%
16
Omaha, NE
1543 ± 82 9% 3% <1% <1%
9
Omaha, NE
1559 ± 67 26% 4% <1% <1%
15
Parts Unknown, Earth
1492 ± 69 4% <1% <1% <1%
13
Omaha, NE
1498 ± 80 1% <1% <1% <1%

NEVADA

2022 IFPA NACS Predictions: NEVADA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
4
Las Vegas, NV
1727 ± 71 81% 63% 32% 19%
8
Sparks, NV
1746 ± 69 64% 39% 25% 17%
2
Las Vegas, NV
1711 ± 86 81% 59% 33% 16%
1
Sparks, NV
1728 ± 63 81% 41% 26% 15%
6
Reno, NV
1712 ± 73 66% 39% 23% 11%
3
Las Vegas, NV
1696 ± 82 59% 29% 16% 7%
9
Las Vegas, NV
1695 ± 90 36% 17% 9% 4%
14
Las Vegas, NV
1671 ± 82 41% 18% 8% 3%
7
Reno, NV
1646 ± 59 59% 22% 8% 2%
11
Parts Unknown, Earth
1662 ± 98 34% 15% 6% 2%
5
Las Vegas, NV
1637 ± 78 59% 18% 4% 2%
10
Reno, NV
1617 ± 67 41% 12% 3% <1%
13
Parts Unknown, NV
1611 ± 92 19% 9% 2% <1%
12
Parts Unknown, Earth
1607 ± 82 41% 10% 2% <1%
15
Reno, NV
1598 ± 63 19% 7% 2% <1%
16
Las Vegas, NV
1612 ± 90 19% 3% 1% <1%

NEW BRUNSWICK

2022 IFPA NACS Predictions: NEW BRUNSWICK
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Fredericton, NB
1770 ± 94 98% 95% 90% 66%
2
Beaver Bank, NS
1717 ± 98 94% 77% 58% 23%
3
Fredericton, NB
1655 ± 96 86% 68% 26% 7%
10
Halifax, NS
1609 ± 106 77% 19% 9% 2%
4
London, ON
1566 ± 106 63% 40% 4% <1%
11
Parts Unknown, Earth
1562 ± 108 66% 20% 4% <1%
8
Moncton, NB
1550 ± 90 65% 4% 2% <1%
12
Parts Unknown, Earth
1542 ± 133 63% 30% 2% <1%
13
Fredericton, NB
1522 ± 96 37% 18% 1% <1%
6
Parts Unknown, Earth
1500 ± 294 34% 6% <1% <1%
14
Parts Unknown, Earth
1500 ± 294 14% 5% <1% <1%
5
Saint John, NB
1493 ± 80 37% 12% <1% <1%
9
Parts Unknown, NB
1499 ± 80 35% 1% <1% <1%
7
Fredericton, NB
1500 ± 294 23% 2% <1% <1%
16
Saint John, NB
1474 ± 122 2% <1% <1% <1%
15
Fredericton, NB
1506 ± 98 6% 2% <1% <1%

NEW HAMPSHIRE

2022 IFPA NACS Predictions: NEW HAMPSHIRE
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Portsmouth, NH
1765 ± 65 98% 89% 75% 59%
2
Somerville, MA
1695 ± 67 80% 68% 50% 20%
14
Portsmouth, NH
1635 ± 69 57% 39% 17% 4%
5
Manchester, NH
1641 ± 69 56% 30% 7% 3%
4
San Francisco, CA
1640 ± 65 55% 29% 6% 3%
3
Litchfield, NH
1616 ± 78 43% 27% 11% 2%
13
Ayer, MA
1622 ± 86 45% 21% 4% 2%
12
North Andover, MA
1622 ± 137 44% 20% 4% 2%
6
Parts Unknown, NH
1588 ± 73 72% 28% 9% 1%
8
Parts Unknown, NH
1607 ± 69 59% 7% 3% <1%
7
Manchester, NH
1577 ± 106 65% 16% 6% <1%
15
Derry, NH
1582 ± 108 20% 11% 4% <1%
9
Parts Unknown, Earth
1576 ± 82 41% 4% 1% <1%
10
Parts Unknown, Earth
1527 ± 63 35% 5% 1% <1%
11
Parts Unknown, Earth
1516 ± 59 28% 6% <1% <1%
16
Malden, MA
1506 ± 61 2% <1% <1% <1%

NEW JERSEY

2022 IFPA NACS Predictions: NEW JERSEY
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Hamburg, NJ
1786 ± 57 93% 75% 65% 60%
9
Somers Point, NJ
1691 ± 65 77% 21% 14% 11%
5
Bloomfield, NJ
1666 ± 57 77% 54% 14% 9%
3
New York, NY
1629 ± 51 60% 37% 23% 5%
2
Wayne, NJ
1608 ± 47 78% 46% 23% 4%
6
Hamburg, NJ
1602 ± 61 60% 28% 15% 2%
14
Parts Unknown, Earth
1595 ± 55 40% 21% 11% 2%
7
Parts Unknown, NJ
1581 ± 53 50% 24% 11% 1%
4
Parts Unknown, Earth
1601 ± 51 53% 20% 3% 1%
10
Hackettstown, NJ
1579 ± 67 50% 24% 10% 1%
13
Parts Unknown, PA
1590 ± 49 47% 15% 2% <1%
11
New York, NY
1567 ± 49 40% 14% 6% <1%
8
Parts Unknown, NJ
1596 ± 53 23% 2% <1% <1%
12
Parts Unknown, NJ
1574 ± 57 23% 10% <1% <1%
16
North Brunswick Township, NJ
1587 ± 59 7% 2% <1% <1%
15
Parts Unknown, NJ
1508 ± 57 22% 6% 1% <1%

NEW MEXICO

2022 IFPA NACS Predictions: NEW MEXICO
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Albuquerque, NM
1850 ± 104 99% 97% 80% 73%
3
Albuquerque, NM
1751 ± 88 67% 58% 16% 11%
8
Parts Unknown, Earth
1692 ± 122 84% 53% 33% 6%
4
Albuquerque, NM
1672 ± 80 80% 50% 25% 3%
1
Albuquerque, NM
1661 ± 65 85% 40% 21% 3%
14
Las Cruces, NM
1692 ± 112 33% 25% 3% 2%
5
Albuquerque, NM
1643 ± 65 58% 27% 12% 1%
12
Albuquerque, NM
1617 ± 141 42% 17% 6% <1%
11
Albuquerque, NM
1608 ± 96 56% 11% <1% <1%
9
Rio Rancho, NM
1562 ± 98 16% 5% 1% <1%
6
Albuquerque, NM
1589 ± 63 44% 6% <1% <1%
7
Parts Unknown, NM
1586 ± 84 54% 2% <1% <1%
10
Santa Fe, NM
1573 ± 102 46% 1% <1% <1%
13
Parts Unknown, NM
1561 ± 104 20% 6% 1% <1%
16
Socorro, NM
1522 ± 92 15% 2% <1% <1%
15
Tijeras, NM
1520 ± 92 1% <1% <1% <1%

NEW YORK

2022 IFPA NACS Predictions: NEW YORK
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
17
New York, NY
1800 ± 98 93% 62% 54% 37% 26%
2
Parts Unknown, NY
1755 ± 65 100% 58% 36% 23% 11%
4
New York, NY
1756 ± 55 100% 59% 38% 18% 10%
7
Rockland County, NY
1735 ± 67 100% 76% 35% 20% 9%
1
Rochester, NY
1748 ± 69 100% 37% 29% 15% 8%
11
Northglenn, CO
1737 ± 74 78% 57% 36% 18% 7%
15
Parts Unknown, NY
1747 ± 94 81% 38% 23% 14% 6%
5
New York, NY
1724 ± 73 100% 74% 32% 13% 6%
3
New York, NY
1710 ± 67 100% 79% 42% 18% 6%
13
Patterson, NY
1742 ± 67 87% 40% 24% 11% 6%
6
Albany, NY
1657 ± 67 100% 34% 13% 4% <1%
9
New York, NY
1663 ± 78 62% 34% 7% 2% <1%
8
North Syracuse, NY
1646 ± 74 100% 51% 8% 2% <1%
23
Parts Unknown, NY
1654 ± 69 53% 14% 3% 1% <1%
22
New York, NY
1637 ± 67 22% 9% 3% <1% <1%
14
Rochester, NY
1622 ± 73 62% 15% 4% <1% <1%
21
Brooklyn, NY
1634 ± 82 47% 12% 3% <1% <1%
10
North Syracuse, NY
1642 ± 73 47% 11% 2% <1% <1%
12
New York, NY
1646 ± 59 53% 14% 3% <1% <1%
24
Middletown, NY
1624 ± 69 38% 16% 2% <1% <1%
18
Parts Unknown, Earth
1635 ± 80 19% 3% <1% <1% <1%
19
Brooklyn, NY
1581 ± 61 38% 6% 1% <1% <1%
16
Mountain Dale, NY
1609 ± 55 7% <1% <1% <1% <1%
20
New Windsor, NY
1594 ± 55 13% 1% <1% <1% <1%

NORTH CAROLINA

2022 IFPA NACS Predictions: NORTH CAROLINA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Greensboro, NC
1790 ± 69 100% 90% 65% 44% 27%
5
King, NC
1772 ± 59 100% 89% 53% 33% 18%
4
Huntersville, NC
1757 ± 51 100% 81% 41% 23% 11%
14
Cary, NC
1769 ± 73 71% 43% 35% 18% 10%
1
Seattle, WA
1753 ± 69 100% 61% 40% 19% 9%
3
Wilmington, NC
1738 ± 67 100% 46% 35% 15% 6%
7
Charlotte, NC
1727 ± 74 100% 68% 25% 13% 5%
9
Raleigh, NC
1735 ± 71 79% 56% 26% 11% 5%
17
Wilmington, NC
1742 ± 71 74% 34% 21% 9% 4%
22
Parts Unknown, NC
1680 ± 76 68% 48% 15% 4% 1%
19
Kernersville, NC
1699 ± 57 29% 11% 8% 2% <1%
8
Asheville, NC
1666 ± 61 100% 36% 10% 2% <1%
10
Raleigh, NC
1676 ± 69 57% 20% 5% 2% <1%
13
Asheville, NC
1660 ± 69 66% 14% 3% 1% <1%
15
Asheville, NC
1639 ± 59 77% 10% 3% <1% <1%
23
Wilmington, NC
1652 ± 65 43% 12% 2% <1% <1%
6
Asheville, NC
1608 ± 53 100% 35% 5% <1% <1%
16
Raleigh, NC
1657 ± 71 26% 5% 2% <1% <1%
21
Asheville, NC
1627 ± 71 66% 9% 2% <1% <1%
24
Asheville, NC
1630 ± 59 21% 8% 2% <1% <1%
11
Asheville, NC
1614 ± 61 32% 16% 2% <1% <1%
20
Asheville, NC
1608 ± 57 34% 4% <1% <1% <1%
12
Asheville, NC
1573 ± 65 34% 2% <1% <1% <1%
18
Asheville, NC
1549 ± 51 23% <1% <1% <1% <1%

OHIO

2022 IFPA NACS Predictions: OHIO
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
3
Worthington, OH
1851 ± 69 100% 75% 66% 39% 25%
2
Cleveland, OH
1853 ± 63 100% 77% 60% 37% 25%
1
Columbus, OH
1822 ± 55 100% 71% 51% 30% 15%
4
Cleveland, OH
1808 ± 63 100% 74% 42% 23% 10%
21
Flint, MI
1811 ± 71 70% 44% 25% 15% 6%
5
Parts Unknown, Earth
1767 ± 49 100% 43% 19% 8% 2%
19
Cleveland, OH
1777 ± 84 65% 19% 13% 5% 2%
10
Columbus, OH
1772 ± 80 56% 38% 12% 5% 2%
8
Cleveland, OH
1750 ± 65 100% 53% 18% 7% 2%
9
Johnstown, OH
1763 ± 74 72% 38% 15% 6% 2%
16
Columbus, OH
1759 ± 82 91% 28% 15% 6% 2%
15
Berea, OH
1770 ± 65 58% 15% 9% 3% 1%
23
Burlington, KY
1750 ± 76 44% 26% 7% 2% <1%
6
Columbus, OH
1715 ± 63 100% 67% 14% 3% <1%
7
Columbus, OH
1716 ± 65 100% 36% 8% 2% <1%
20
Jackson, KY
1743 ± 53 60% 18% 7% 3% <1%
12
Cleveland, OH
1744 ± 63 30% 13% 5% 2% <1%
18
Cleveland, OH
1743 ± 67 42% 8% 4% 1% <1%
14
Westerville, OH
1724 ± 57 35% 6% 3% <1% <1%
13
Plain, OH
1706 ± 61 40% 8% 2% <1% <1%
11
Columbus, OH
1670 ± 61 59% 22% 3% <1% <1%
24
Cincinnati, OH
1685 ± 86 28% 8% 2% <1% <1%
22
Columbus, OH
1642 ± 55 41% 12% 1% <1% <1%
17
Toledo, OH
1587 ± 55 9% <1% <1% <1% <1%

OKLAHOMA

2022 IFPA NACS Predictions: OKLAHOMA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Broken Arrow, OK
1726 ± 73 95% 61% 43% 25%
2
Oklahoma City, OK
1712 ± 69 91% 55% 30% 17%
6
Stillwater, OK
1720 ± 67 58% 40% 23% 13%
9
Stillwater, OK
1692 ± 74 59% 25% 15% 7%
10
Oklahoma City, OK
1691 ± 69 64% 31% 15% 7%
3
Oklahoma City, OK
1678 ± 71 76% 31% 14% 7%
4
Claremore, OK
1672 ± 61 79% 43% 17% 7%
11
Tulsa, OK
1692 ± 71 42% 25% 13% 6%
5
Newcastle, OK
1660 ± 71 51% 26% 9% 4%
12
Tulsa, OK
1658 ± 53 49% 25% 8% 3%
8
Oklahoma City, OK
1658 ± 73 41% 13% 7% 3%
7
Mannford, OK
1645 ± 65 36% 13% 4% 2%
13
Tulsa, OK
1572 ± 65 21% 5% <1% <1%
14
Tulsa, OK
1587 ± 61 24% 4% 1% <1%
15
Bartlesville, OK
1539 ± 73 9% 1% <1% <1%
16
Tulsa, OK
1506 ± 71 5% <1% <1% <1%

ONTARIO

2022 IFPA NACS Predictions: ONTARIO
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Keswick, ON
1747 ± 55 100% 75% 57% 39% 27%
4
Burlington, ON
1712 ± 55 100% 75% 48% 31% 16%
1
Toronto, ON
1686 ± 55 100% 81% 53% 26% 12%
12
Mount Albert, ON
1697 ± 65 77% 56% 30% 18% 8%
3
Ottawa, ON
1694 ± 67 100% 58% 35% 16% 8%
6
Scarborough, ON
1680 ± 57 100% 81% 38% 16% 8%
7
London, ON
1669 ± 61 100% 66% 22% 10% 5%
14
Kitchener, ON
1687 ± 55 80% 38% 22% 9% 5%
15
Mississauga, ON
1676 ± 63 71% 21% 12% 6% 3%
8
Mississauga, ON
1641 ± 65 100% 56% 24% 9% 3%
9
Mississauga, ON
1636 ± 63 62% 30% 12% 4% 1%
13
Saint Thomas, Earth
1640 ± 57 69% 21% 9% 4% 1%
5
Toronto, ON
1619 ± 53 100% 33% 10% 4% <1%
10
Toronto, ON
1631 ± 55 67% 26% 6% 2% <1%
24
Toronto, ON
1600 ± 65 38% 15% 5% 1% <1%
16
Toronto, ON
1590 ± 51 69% 15% 5% 1% <1%
21
Mississauga, ON
1604 ± 74 23% 11% 2% 1% <1%
18
Kitchener, ON
1604 ± 53 29% 4% 1% <1% <1%
11
Mississauga, ON
1582 ± 57 70% 16% 3% <1% <1%
20
Toronto, ON
1577 ± 59 31% 4% 1% <1% <1%
19
Toronto, ON
1580 ± 69 20% 4% 1% <1% <1%
23
La Salette, ON
1577 ± 65 33% 8% <1% <1% <1%
17
Ottawa, ON
1524 ± 71 31% 4% <1% <1% <1%
22
Oshawa, ON
1513 ± 59 30% 3% <1% <1% <1%

OREGON

2022 IFPA NACS Predictions: OREGON
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
5
Portland, OR
1881 ± 86 100% 96% 71% 62% 53%
13
Portland, OR
1820 ± 61 95% 72% 24% 18% 13%
7
Portland, OR
1764 ± 69 100% 82% 47% 34% 10%
2
Parts Unknown, Earth
1760 ± 65 100% 75% 41% 28% 8%
1
Coatsville, PA
1749 ± 61 100% 70% 40% 9% 5%
8
Eugene, OR
1743 ± 73 100% 76% 40% 8% 4%
3
Portland, OR
1704 ± 55 100% 74% 41% 15% 2%
11
Portland, OR
1697 ± 59 84% 47% 25% 9% 1%
4
Eugene, OR
1728 ± 67 100% 27% 4% 2% <1%
6
Portland, OR
1676 ± 65 100% 49% 24% 7% <1%
16
Portland, OR
1698 ± 57 81% 28% 12% 1% <1%
15
Eugene, OR
1674 ± 73 52% 13% 4% 2% <1%
9
Eugene, OR
1668 ± 71 83% 23% 7% <1% <1%
18
Portland, OR
1669 ± 59 48% 12% 3% 1% <1%
14
Parts Unknown, Earth
1632 ± 57 58% 17% 6% 1% <1%
10
Portland, OR
1659 ± 63 66% 14% 4% 2% <1%
12
Eugene, OR
1661 ± 59 75% 4% <1% <1% <1%
22
Eugene, OR
1570 ± 71 16% 3% <1% <1% <1%
19
Eugene, OR
1608 ± 67 42% 9% 3% <1% <1%
20
Parts Unknown, OR
1610 ± 57 5% <1% <1% <1% <1%
21
Portland, OR
1574 ± 63 25% <1% <1% <1% <1%
17
Eugene, OR
1588 ± 53 19% 2% <1% <1% <1%
23
Portland, OR
1604 ± 65 34% 4% <1% <1% <1%
24
Eugene, OR
1545 ± 63 17% 1% <1% <1% <1%

PENNSYLVANIA

2022 IFPA NACS Predictions: PENNSYLVANIA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
3
Parts Unknown, PA
1844 ± 82 100% 89% 81% 70% 59%
13
Pittsburgh, PA
1750 ± 76 98% 74% 56% 39% 14%
2
Pittsburgh, PA
1727 ± 73 100% 69% 46% 12% 6%
1
Lansdale, PA
1709 ± 59 100% 55% 39% 19% 5%
11
Pittsburgh, PA
1696 ± 80 83% 63% 11% 5% 2%
7
Parts Unknown, PA
1683 ± 61 100% 65% 28% 5% 2%
17
Pittsburgh, PA
1699 ± 74 54% 26% 17% 8% 2%
14
Pittsburgh, PA
1697 ± 74 90% 11% 7% 3% 1%
12
Pittsburgh, PA
1678 ± 74 60% 34% 12% 6% 1%
5
Pittsburgh, PA
1656 ± 69 100% 47% 14% 6% 1%
16
Pittsburgh, PA
1682 ± 82 46% 19% 12% 5% <1%
18
New Cumberland, PA
1681 ± 73 65% 23% 12% 2% <1%
8
Schwenksville, PA
1643 ± 63 100% 56% 19% 6% <1%
4
Trappe, PA
1657 ± 67 100% 26% 13% 5% <1%
9
Lansdale, PA
1638 ± 73 89% 43% 13% 4% <1%
10
Pittsburgh, PA
1650 ± 67 65% 26% 9% 1% <1%
21
Pittsburgh, PA
1644 ± 90 40% 19% 5% 2% <1%
6
Royersford, PA
1611 ± 63 100% 31% 2% <1% <1%
15
Parkersburg, WV
1631 ± 69 35% 8% 3% <1% <1%
23
Pittsburgh, PA
1600 ± 74 35% 9% 2% <1% <1%
22
Royersford, PA
1571 ± 71 17% 6% <1% <1% <1%
20
Collegeville, PA
1490 ± 73 2% <1% <1% <1% <1%
19
Chesterbrook, PA
1527 ± 73 10% <1% <1% <1% <1%
24
Pottstown, PA
1484 ± 53 11% 1% <1% <1% <1%

QUEBEC

2022 IFPA NACS Predictions: QUEBEC
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Montreal, QC
1709 ± 90 82% 52% 40% 30%
10
Parts Unknown, Earth
1679 ± 120 72% 34% 24% 16%
13
Ottawa, ON
1643 ± 65 59% 38% 24% 10%
3
Montreal, QC
1629 ± 88 95% 58% 19% 10%
1
Montreal, QC
1628 ± 61 71% 49% 25% 10%
5
Parts Unknown, Earth
1621 ± 71 73% 34% 20% 8%
4
Montreal, QC
1613 ± 76 41% 22% 12% 4%
11
Montreal, QC
1601 ± 96 52% 23% 6% 3%
6
Montreal, QC
1592 ± 129 48% 19% 5% 2%
8
Montreal, QC
1572 ± 94 54% 21% 7% 2%
7
Montreal, QC
1601 ± 80 28% 7% 3% 1%
15
Montreal, QC
1594 ± 84 18% 6% 3% 1%
9
Montreal, QC
1558 ± 88 46% 16% 5% 1%
16
Parts Unknown, Earth
1555 ± 92 29% 14% 4% <1%
12
Montreal, QC
1539 ± 90 27% 7% 2% <1%
14
Montreal, QC
1407 ± 112 5% <1% <1% <1%

RHODE ISLAND

2022 IFPA NACS Predictions: RHODE ISLAND
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Holliston, MA
1698 ± 71 90% 85% 69% 43%
1
Providence, RI
1675 ± 82 94% 91% 60% 32%
4
Canton, MA
1642 ± 80 98% 79% 35% 15%
3
Johnston, RI
1610 ± 116 65% 43% 14% 5%
11
Boston, MA
1571 ± 123 65% 29% 7% 2%
14
Boston, MA
1561 ± 69 35% 18% 4% <1%
5
Stonington, CT
1538 ± 92 88% 20% 4% <1%
15
Westport, MA
1535 ± 78 10% 7% 3% <1%
6
Parts Unknown, RI
1521 ± 161 35% 10% 2% <1%
10
Taunton, MA
1480 ± 133 51% 4% <1% <1%
7
Providence, RI
1478 ± 122 49% 4% <1% <1%
16
Westport, PA
1466 ± 76 6% 4% <1% <1%
9
North Attleborough, MA
1442 ± 104 59% 4% <1% <1%
8
Providence, RI
1412 ± 67 41% 2% <1% <1%
13
Providence, RI
1358 ± 116 2% <1% <1% <1%
12
Parts Unknown, MA
1382 ± 76 12% <1% <1% <1%

SASKATCHEWAN

2022 IFPA NACS Predictions: SASKATCHEWAN
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Regina, SK
1766 ± 65 89% 80% 60% 37%
1
Regina, SK
1763 ± 65 89% 72% 54% 32%
3
Regina, SK
1707 ± 80 87% 70% 29% 14%
4
Regina, SK
1698 ± 69 67% 44% 18% 7%
9
Regina, SK
1668 ± 86 71% 20% 10% 4%
5
Parts Unknown, Earth
1661 ± 143 70% 32% 10% 3%
13
Regina, SK
1641 ± 94 33% 17% 4% 1%
10
Regina, SK
1611 ± 82 67% 11% 4% <1%
6
Regina, SK
1604 ± 86 65% 18% 3% <1%
15
Regina, SK
1609 ± 88 11% 6% 2% <1%
8
Weyburn, SK
1599 ± 65 29% 4% 1% <1%
16
Regina, SK
1599 ± 71 11% 4% 1% <1%
12
Regina, SK
1593 ± 67 30% 8% 1% <1%
14
Regina, SK
1561 ± 71 13% 6% <1% <1%
11
Regina, SK
1554 ± 106 35% 6% <1% <1%
7
Saskatoon, SK
1554 ± 114 33% 3% <1% <1%

SOUTH CAROLINA

2022 IFPA NACS Predictions: SOUTH CAROLINA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
3
Charleston, SC
1762 ± 74 85% 66% 39% 24%
8
Columbia, SC
1750 ± 88 81% 54% 33% 17%
2
Pelzer, SC
1754 ± 71 80% 51% 29% 17%
13
Reidsville, NC
1747 ± 63 69% 52% 29% 15%
7
New York, NY
1727 ± 73 71% 34% 17% 9%
1
Pelzer, SC
1712 ± 53 75% 34% 18% 7%
6
Charleston, SC
1677 ± 65 65% 21% 7% 2%
4
Parts Unknown, Earth
1684 ± 55 31% 18% 7% 2%
12
Columbia, SC
1668 ± 69 55% 18% 6% 2%
5
Parts Unknown, SC
1651 ± 69 45% 13% 4% <1%
10
Duncan, SC
1654 ± 94 29% 8% 3% <1%
11
Simpsonville, SC
1628 ± 61 35% 8% 2% <1%
15
Columbia, SC
1644 ± 67 20% 6% 2% <1%
16
Woodruff, SC
1628 ± 67 25% 6% 2% <1%
14
Taylors, SC
1625 ± 84 15% 6% 1% <1%
9
Ridgeville, SC
1638 ± 76 19% 7% 2% <1%

SOUTH DAKOTA

2022 IFPA NACS Predictions: SOUTH DAKOTA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
3
Parts Unknown, Earth
1818 ± 108 98% 94% 90% 54%
1
Cottage Grove, MN
1818 ± 86 84% 83% 70% 39%
4
Sioux Falls, SD
1699 ± 94 92% 83% 21% 5%
16
Parts Unknown, Earth
1689 ± 141 16% 15% 8% 2%
10
Parts Unknown, Earth
1613 ± 112 79% 62% 6% <1%
6
Parts Unknown, Earth
1591 ± 114 51% 3% 1% <1%
11
Parts Unknown, Earth
1587 ± 114 49% 3% 1% <1%
7
Parts Unknown, Earth
1500 ± 294 21% 11% <1% <1%
14
Parts Unknown, Earth
1500 ± 294 2% <1% <1% <1%
15
Sioux Falls, SD
1500 ± 294 51% 14% <1% <1%
2
Parts Unknown, Earth
1500 ± 294 49% 14% <1% <1%
12
Parts Unknown, Earth
1527 ± 114 58% 8% <1% <1%
13
Parts Unknown, Earth
1500 ± 294 8% 4% <1% <1%
5
Sioux Falls, SD
1500 ± 294 42% 5% <1% <1%
8
Parts Unknown, Earth
1500 ± 294 50% 1% <1% <1%
9
Parts Unknown, Earth
1500 ± 294 50% 1% <1% <1%

TENNESSEE

2022 IFPA NACS Predictions: TENNESSEE
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Smyrna, TN
1809 ± 63 100% 93% 81% 52% 37%
5
Nashville, TN
1788 ± 63 100% 87% 74% 38% 24%
2
Nashville, TN
1756 ± 63 100% 72% 56% 30% 13%
3
Bartlett, TN
1759 ± 55 100% 75% 45% 28% 12%
11
Parts Unknown, Earth
1747 ± 63 87% 55% 29% 17% 6%
6
Nashville, TN
1706 ± 63 100% 42% 17% 8% 2%
18
Murfreesboro, TN
1696 ± 71 72% 23% 14% 5% 1%
4
Nashville, TN
1664 ± 59 100% 57% 13% 2% <1%
10
Jonesboro, AR
1674 ± 55 63% 35% 11% 3% <1%
7
Nashville, TN
1660 ± 63 100% 50% 14% 4% <1%
8
Nashville, TN
1655 ± 65 100% 48% 7% 2% <1%
9
Columbia, TN
1671 ± 61 58% 32% 6% 2% <1%
14
Nashville, TN
1678 ± 63 52% 13% 5% 2% <1%
19
Murfreesboro, TN
1671 ± 76 48% 12% 4% 2% <1%
12
Nashville, TN
1659 ± 55 80% 12% 6% 1% <1%
13
Nashville, TN
1649 ± 76 56% 25% 5% <1% <1%
16
Memphis, TN
1630 ± 53 66% 6% 2% <1% <1%
24
Parts Unknown, TN
1645 ± 51 42% 20% 3% <1% <1%
23
Nashville, TN
1634 ± 71 37% 16% 3% <1% <1%
20
Memphis, TN
1628 ± 57 44% 18% 3% <1% <1%
15
Nashville, TN
1622 ± 61 28% 4% 2% <1% <1%
17
Nashville, TN
1579 ± 67 34% 1% <1% <1% <1%
21
Smyrna, TN
1553 ± 61 20% <1% <1% <1% <1%
22
Paris, TN
1604 ± 61 13% 3% <1% <1% <1%

TEXAS

2022 IFPA NACS Predictions: TEXAS
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
College Station, TX
1846 ± 59 100% 82% 59% 36% 19%
14
Corpus Christi, TX
1853 ± 57 87% 62% 50% 31% 17%
9
Houston, TX
1864 ± 67 96% 68% 44% 27% 17%
4
Austin, TX
1838 ± 61 100% 79% 47% 24% 13%
1
Houston, TX
1829 ± 63 100% 83% 39% 20% 11%
12
Austin, TX
1832 ± 53 81% 49% 27% 13% 7%
7
Conroe, TX
1785 ± 57 100% 70% 26% 11% 4%
5
Denton, TX
1797 ± 71 100% 46% 20% 8% 3%
3
Denton, TX
1786 ± 63 100% 35% 23% 10% 3%
8
The Woodlands, TX
1794 ± 59 100% 32% 15% 6% 2%
11
The Woodlands, TX
1760 ± 63 67% 39% 12% 4% 1%
6
Collinsville, TX
1734 ± 59 100% 48% 12% 3% <1%
10
The Woodlands, TX
1735 ± 59 77% 27% 7% 2% <1%
15
The Woodlands, TX
1738 ± 59 57% 11% 5% 1% <1%
20
San Antonio, TX
1729 ± 65 49% 10% 3% <1% <1%
13
Collinsville, TX
1730 ± 69 51% 10% 2% <1% <1%
16
Fort Worth, TX
1717 ± 73 60% 12% 2% <1% <1%
19
Austin, TX
1704 ± 71 13% 3% 1% <1% <1%
18
Conroe, TX
1715 ± 57 43% 7% 2% <1% <1%
22
Abilene, TX
1705 ± 67 33% 13% 2% <1% <1%
21
Conroe, TX
1714 ± 65 19% 5% 1% <1% <1%
17
Arlington, TX
1683 ± 65 40% 5% <1% <1% <1%
23
Houston, TX
1644 ± 57 23% 3% <1% <1% <1%
24
Houston, TX
1636 ± 69 4% <1% <1% <1% <1%

UTAH

2022 IFPA NACS Predictions: UTAH
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
3
Salt Lake City, UT
1736 ± 82 76% 57% 34% 20%
2
North Ogden, UT
1726 ± 73 81% 53% 31% 18%
8
Salt Lake City, UT
1733 ± 74 74% 50% 29% 17%
5
Salt Lake City, UT
1725 ± 71 65% 38% 22% 12%
4
Salt Lake City, UT
1710 ± 84 61% 32% 16% 8%
7
Layton, UT
1696 ± 92 73% 34% 17% 8%
1
Sandy, UT
1687 ± 65 81% 34% 15% 6%
6
Orem, UT
1659 ± 63 59% 20% 7% 3%
12
South Jordan, UT
1676 ± 69 35% 15% 6% 3%
13
Salt Lake City, UT
1673 ± 80 39% 16% 6% 2%
9
Parts Unknown, Earth
1649 ± 51 26% 12% 4% 1%
14
Salt Lake City, UT
1646 ± 88 24% 12% 4% 1%
11
Salt Lake City, UT
1627 ± 102 41% 11% 3% <1%
10
Salt Lake City, UT
1616 ± 69 27% 7% 2% <1%
15
Salt Lake City, UT
1615 ± 61 19% 6% 1% <1%
16
Salt Lake City, UT
1576 ± 63 19% 3% <1% <1%

VERMONT

2022 IFPA NACS Predictions: VERMONT
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Burlington, VT
1650 ± 78 91% 61% 43% 25%
2
South Burlington, VT
1642 ± 73 77% 50% 29% 16%
6
Parts Unknown, VT
1646 ± 67 58% 40% 23% 14%
3
Parts Unknown, VT
1604 ± 80 78% 32% 15% 7%
7
Montpelier, VT
1608 ± 86 68% 32% 15% 7%
11
Burlington, VT
1619 ± 98 42% 25% 12% 6%
8
South Burlington, VT
1599 ± 94 55% 22% 12% 6%
13
Parts Unknown, Earth
1590 ± 96 54% 30% 12% 5%
5
Colchester, VT
1583 ± 80 58% 29% 11% 4%
4
Williston, VT
1576 ± 88 46% 24% 8% 3%
9
Parts Unknown, VT
1583 ± 88 45% 15% 8% 3%
12
Burlington, VT
1557 ± 143 42% 17% 5% 1%
10
Charlotte, VT
1547 ± 102 32% 9% 3% <1%
15
Burlington, VT
1546 ± 94 23% 9% 2% <1%
14
Hamden, CT
1504 ± 92 22% 3% <1% <1%
16
Parts Unknown, VT
1476 ± 76 9% 2% <1% <1%

VIRGINIA

2022 IFPA NACS Predictions: VIRGINIA
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
7
Fairfax, VA
1867 ± 82 100% 97% 80% 69% 55%
4
Sterling, VA
1791 ± 78 100% 84% 72% 57% 23%
2
Midlothian, VA
1755 ± 74 100% 67% 15% 9% 5%
19
Parts Unknown, VA
1750 ± 74 79% 55% 32% 8% 4%
11
McLean, VA
1741 ± 96 79% 45% 26% 6% 3%
1
Richmond, VA
1699 ± 74 100% 61% 39% 14% 2%
6
Fairfax, VA
1715 ± 67 100% 49% 24% 4% 2%
9
Richmond, VA
1681 ± 69 69% 45% 22% 6% 1%
5
Richmond, VA
1676 ± 69 100% 61% 14% 7% <1%
18
Fairfax, VA
1714 ± 82 82% 31% 4% 2% <1%
16
Ashburn, VA
1681 ± 78 67% 29% 18% 5% <1%
3
Richmond, VA
1682 ± 55 100% 36% 13% 2% <1%
13
Midlothian, VA
1676 ± 84 70% 14% 8% 4% <1%
21
Richmond, VA
1652 ± 76 60% 26% 5% 2% <1%
8
Richmond, VA
1628 ± 57 100% 41% 14% 2% <1%
17
Richmond, VA
1626 ± 65 33% 9% 4% <1% <1%
24
Richmond, VA
1616 ± 63 31% 14% 4% <1% <1%
14
King George, VA
1647 ± 55 21% 9% 3% <1% <1%
12
Montross, VA
1621 ± 63 40% 13% 2% <1% <1%
23
Charlottesville, VA
1629 ± 90 57% 2% <1% <1% <1%
22
Richmond, VA
1636 ± 71 21% 6% 2% <1% <1%
10
Midlothian, VA
1607 ± 59 43% 1% <1% <1% <1%
20
Richmond, VA
1606 ± 65 30% 2% <1% <1% <1%
15
Richmond, VA
1594 ± 51 18% 2% <1% <1% <1%

WASHINGTON

2022 IFPA NACS Predictions: WASHINGTON
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
2
Seattle, WA
1831 ± 71 100% 79% 57% 42% 30%
1
Redmond, WA
1782 ± 65 100% 77% 51% 30% 14%
5
Seattle, WA
1770 ± 59 100% 76% 45% 25% 11%
6
Seattle, WA
1774 ± 67 100% 74% 48% 20% 11%
23
Edmonds, WA
1789 ± 55 73% 62% 27% 16% 10%
9
Seattle, WA
1762 ± 73 77% 58% 30% 16% 7%
4
Carnation, WA
1739 ± 53 100% 52% 24% 11% 4%
3
Seattle, WA
1735 ± 55 100% 58% 25% 8% 3%
13
Seattle, WA
1746 ± 59 60% 31% 16% 7% 3%
14
Bremerton, WA
1726 ± 51 84% 39% 16% 5% 2%
18
Seattle, WA
1745 ± 59 65% 16% 8% 4% 2%
11
Bremerton, WA
1709 ± 57 70% 22% 9% 2% <1%
20
Seattle, WA
1715 ± 71 40% 17% 6% 2% <1%
10
Seattle, WA
1710 ± 49 27% 18% 4% 1% <1%
8
Bothell, Earth
1673 ± 63 100% 31% 8% 2% <1%
17
Seattle, WA
1694 ± 63 57% 15% 6% 2% <1%
12
Seattle, WA
1689 ± 73 61% 16% 6% 2% <1%
15
Bremerton, WA
1695 ± 57 35% 5% 2% <1% <1%
7
Parts Unknown, Earth
1659 ± 55 100% 21% 3% <1% <1%
16
Parts Unknown, Earth
1669 ± 51 43% 8% 3% <1% <1%
24
Bremerton, WA
1666 ± 49 23% 10% 3% <1% <1%
21
Renton, WA
1658 ± 59 39% 8% 2% <1% <1%
22
Seattle, WA
1643 ± 59 30% 5% 1% <1% <1%
19
Seattle, WA
1597 ± 57 16% 2% <1% <1% <1%

WEST VIRGINIA

2022 IFPA NACS Predictions: WEST VIRGINIA
Seed Player MP Rating Chances of making… WIN
FINALS
QUARTER-
FINALS
SEMI-
FINALS
FINALS
6
Beckley, WV
1853 ± 139 99% 95% 77% 64%
2
Morgantown, WV
1753 ± 65 98% 86% 22% 14%
4
New Albany, OH
1729 ± 63 90% 64% 35% 9%
8
Columbus, OH
1728 ± 88 91% 60% 34% 9%
1
Morgantown, WV
1685 ± 80 91% 38% 17% 3%
5
Washington, PA
1676 ± 61 78% 31% 12% 2%
3
Fairmont, WV
1615 ± 69 52% 3% <1% <1%
7
Parts Unknown, Earth
1619 ± 131 72% 12% <1% <1%
14
Washington, PA
1609 ± 67 48% 2% <1% <1%
12
Parts Unknown, Earth
1576 ± 98 22% 4% <1% <1%
11
Morgantown, WV
1550 ± 90 1% <1% <1% <1%
9
Parts Unknown, Earth
1552 ± 82 9% 2% <1% <1%
10
Morgantown, WV
1542 ± 82 28% 2% <1% <1%
13
Morgantown, WV
1559 ± 98 10% 2% <1% <1%
16
Pittsburgh, PA
1508 ± 82 9% <1% <1% <1%
15
Morgantown, WV
1465 ± 74 2% <1% <1% <1%

WISCONSIN

2022 IFPA NACS Predictions: WISCONSIN
Seed Player MP Rating Chances of making… WIN
FINALS
ROUND OF
16
QUARTER-
FINALS
SEMI-
FINALS
FINALS
1
Parts Unknown, CO
1904 ± 55 100% 93% 88% 79% 62%
6
Arlington Heights, IL
1820 ± 51 100% 89% 64% 38% 13%
15
Chicago, IL
1818 ± 57 87% 47% 38% 22% 8%
2
Appleton, WI
1805 ± 53 100% 51% 40% 21% 7%
4
Park Ridge, IL
1768 ± 57 100% 60% 42% 8% 3%
3
Milwaukee, WI
1755 ± 59 100% 62% 23% 9% 2%
20
Chicago, IL
1754 ± 49 69% 31% 20% 4% 1%
8
De Pere, WI
1713 ± 49 100% 70% 7% 3% <1%
14
Seattle, WA
1732 ± 69 69% 31% 9% 3% <1%
7
Appleton, WI
1709 ± 51 100% 54% 11% 3% <1%
17
Oregon, WI
1723 ± 57 76% 6% 4% 2% <1%
10
Manitowoc, WI
1716 ± 71 72% 38% 9% 3% <1%
12
Oshkosh, WI
1720 ± 51 51% 30% 11% 2% <1%
21
Sussex, WI
1716 ± 61 49% 30% 11% 1% <1%
5
Appleton, WI
1685 ± 57 100% 40% 12% <1% <1%
9
Green Bay, WI
1666 ± 53 73% 25% 1% <1% <1%
11
Neenah, WI
1670 ± 45 54% 6% 2% <1% <1%
19
Green Bay, WI
1668 ± 63 31% 8% 1% <1% <1%
13
Manitowoc, WI
1693 ± 51 31% 9% 4% <1% <1%
22
Milwaukee, WI
1655 ± 53 46% 5% 1% <1% <1%
23
De Pere, WI
1644 ± 51 28% 9% <1% <1% <1%
16
Green Bay, WI
1631 ± 55 24% <1% <1% <1% <1%
18
Madison, WI
1674 ± 74 13% 2% <1% <1% <1%
24
Green Bay, WI
1589 ± 51 27% 4% <1% <1% <1%

country name link
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US CNN website

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. It was made entirely in the spirit of learning and fun.