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Fort Hays St.

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
Also known as: Fort Hays St.
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 1110 (#42) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1218 (#29) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1077 (#97) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +20.1 (#17) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +16.9 (#82) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.833 (#144) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +38.3 More → 0.990 (#93) NetEff +38.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +25.9 More → 0.952 (#76) AdjNet +25.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +26.2 More → 0.956 (#72) AdjNet +26.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.8 | AdjD 56.6 More → 0.840 (#83) AdjO 74.8 | AdjD 56.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.6 | AdjD 60.4 More → 0.735 (#52) AdjO 71.6 | AdjD 60.4
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.823 (#51) Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.809 (#53) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 95 | GP 23 More → 1170 (#64) RD 95 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-15 vs Southwest Minn. St. W 65 - 56
2025-11-16 vs Concordia-St. Paul L 68 - 79
2025-11-19 @ South Dakota Mines W 68 - 52
2025-11-23 vs Bethel (KS) W 74 - 53
2025-11-25 vs Sterling (KS) W 78 - 61
2025-11-29 vs Manhattan Chrst. W 92 - 44
2025-12-04 @ Central Mo. L 50 - 64
2025-12-06 @ Washburn L 66 - 73
2025-12-13 vs William Jewell W 78 - 59
2025-12-18 @ MSU Denver W 68 - 64
2025-12-20 @ Regis (CO) W 102 - 42
2026-01-01 vs Northwest Mo. St. W 67 - 50
2026-01-03 vs Missouri Western W 67 - 65
2026-01-06 @ Neb.-Kearney L 67 - 68
2026-01-08 @ Emporia St. W 73 - 70
2026-01-15 @ Missouri Western W 74 - 61
2026-01-17 @ Northwest Mo. St. W 66 - 50
2026-01-22 vs Rogers St. W 80 - 75
2026-01-24 vs Central Okla. W 58 - 53
2026-01-29 vs Washburn L 73 - 81
2026-01-31 vs Central Mo. L 49 - 61
2026-02-05 @ Northeastern St. L 64 - 66
2026-02-07 @ Ark.-Fort Smith L 77 - 87

2026 Roster

Minutes by Position

The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.

Player Pos GP MIN PTS REB AST STL BLK TO FGA Numbers PM PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Dan Mukuna - 22 33.7 17.5 7.5 0.9 1.0 1.2 2.0 11.3 14.8 79 3.6 12.8 59.3 36.4 83.8 -0.57 65.6 60.1
Kyle Grill - 22 32.6 13.5 5.4 1.2 0.7 0.3 1.3 10.9 8.9 136 6.2 23.4 45.0 30.9 69.4 4.27 54.5 51.2
Wade Williams - 1 26.0 13.0 6.0 0.0 0.0 0.0 2.0 10.0 7.0 -103 -4.9 -19.9 60.0 25.0 0 1.4 65.0 65.0
Clayton Moore - 1 26.0 12.0 2.0 1.0 7.0 0.0 0.0 5.0 17.0 -113 -5.4 -23.4 80.0 0.0 80.0 0.51 83.3 80.0
Jahvari Martino - 22 27.2 11.3 3.6 0.9 1.2 0.2 1.6 9.5 6.2 33 1.5 6.8 46.2 38.3 81.2 -2.54 56.1 53.6
Lucas Hammeke - 22 30.1 8.3 4.2 3.6 2.0 0.3 1.7 6.9 9.8 95 4.3 17.9 44.4 35.0 64.8 -0.87 52.4 49.0
Muhamed Kante - 22 21.7 6.2 2.4 2.3 1.2 0.2 1.5 5.5 5.4 49 2.2 12.1 43.3 25.8 92.6 1.68 51.9 46.7
Juju Ramirez - 19 21.7 5.3 3.6 1.2 0.7 0.7 1.3 4.8 5.5 19 1.0 7.3 42.9 38.9 33.3 -0.51 49.1 50.5
Tom Connelly - 1 18.0 5.0 3.0 0.0 0.0 0.0 0.0 6.0 2.0 -112 -5.3 -24.8 33.3 25.0 0 -1.97 41.7 41.7
Eli Lawson - 22 16.2 4.6 2.8 0.4 0.3 0.4 1.0 3.6 3.9 53 2.4 14.8 57.5 0 41.7 4.07 56.3 57.5
Tegen Curley - 4 6.8 3.5 1.2 0.5 0.0 0.5 0.5 2.5 2.8 - - - 50.0 50.0 100.0 - 64.3 60.0
Ben Johnson - 6 11.7 2.8 3.0 1.0 0.7 0.3 0.2 3.0 4.7 17 2.8 122.9 27.8 30.0 100.0 1.36 43.0 36.1
Blake Danitschek - 22 13.2 2.2 1.7 0.1 0.4 0.0 0.1 1.9 2.5 -10 -0.5 -4.8 43.9 34.8 55.6 -3.17 54.5 53.7
David Johnson - 4 4.3 2.0 0.8 0.2 0.2 0.0 0.8 1.8 0.8 3 0.2 1.3 28.6 0.0 66.7 -0.52 41.5 28.6
Tory Homan - 6 5.8 1.8 0.5 0.2 0.2 0.2 0.3 1.7 0.8 - - - 30.0 33.3 75.0 - 46.8 40.0
Alec Carlson - 6 7.0 0.7 1.0 0.2 0.3 0.0 0.2 2.0 0.0 - - - 16.7 0.0 0 - 16.7 16.7
Zeek Brown - 1 15.0 0.0 3.0 0.0 0.0 0.0 0.0 1.0 2.0 -81 -4.5 -27.3 0.0 0 0 -1.72 0.0 0.0
Zack Sharkey - 1 1.3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG