🐻⬇️🏀

Upper Iowa

Also known as: Upper Iowa
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 → 1108 (#45) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1205 (#36) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1005 (#245) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +13.8 (#56) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +7.3 (#201) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.752 (#184) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +22.2 More → 0.928 (#98) AdjNet +22.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +22.2 More → 0.930 (#97) AdjNet +22.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 91.9 | AdjD 74.9 More → 0.825 (#98) AdjO 91.9 | AdjD 74.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 81.7 | AdjD 76.7 More → 0.612 (#133) AdjO 81.7 | AdjD 76.7
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 → 0.686 (#149) 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 → 0.663 (#168) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 97 | GP 22 More → 1066 (#161) RD 97 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Wis.-Parkside W 78 - 69
2025-11-15 @ Roosevelt W 88 - 76
2025-11-20 @ Central Mo. L 79 - 84
2025-11-22 @ Purdue Northwest W 92 - 86
2025-11-28 vs Minn.-Crookston W 96 - 81
2025-12-01 @ Quincy W 96 - 92
2025-12-04 vs Lincoln (MO) W 76 - 62
2025-12-06 vs Missouri S&T W 87 - 80
2025-12-14 vs Clarke W 103 - 74
2025-12-19 vs Roosevelt L 80 - 83
2026-01-02 @ Maryville (MO) W 95 - 73
2026-01-04 @ Mo.-St. Louis W 79 - 67
2026-01-08 vs UIndy W 83 - 78
2026-01-10 vs Lewis W 89 - 72
2026-01-15 vs Quincy L 66 - 85
2026-01-17 vs Truman St. W 91 - 82
2026-01-22 @ William Jewell L 74 - 83
2026-01-24 @ Rockhurst L 89 - 100
2026-01-29 vs Southwest Baptist L 74 - 86
2026-01-31 vs Drury W 96 - 76
2026-02-05 @ Missouri S&T L 71 - 88
2026-02-07 @ Lincoln (MO) L 65 - 72

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%
Kyle Hrncir - 22 32.6 17.9 9.2 3.9 1.6 0.3 3.0 14.0 15.9 65 3.0 12.8 44.2 21.1 61.0 -1.46 51.2 46.8
Trey Lewis - 22 28.4 15.0 3.3 3.0 1.2 0.1 2.0 13.0 7.5 -10 -0.5 -2.1 39.0 31.8 85.1 -2.06 51.5 46.3
Tate Petersen - 19 22.5 10.6 1.7 1.2 0.5 0.2 0.9 6.7 6.6 70 3.7 19.8 44.9 44.6 75.0 3.21 66.3 62.6
Jack Miller - 22 27.3 10.5 2.7 1.9 1.4 0.4 1.2 8.0 7.5 68 3.1 15.7 50.8 34.4 86.4 2.3 61.6 59.6
Cael Reichter - 22 15.7 7.9 5.3 1.0 0.5 0.5 0.7 5.5 9.1 26 1.2 10.9 57.5 12.5 57.6 1.9 59.3 57.9
Ty Pflughaupt - 17 15.4 5.2 2.1 0.6 0.4 0.5 0.4 4.2 4.1 42 2.5 137.1 38.9 35.3 65.2 0.28 54.2 51.4
Ashton Hermann - 12 7.3 4.4 0.7 0.3 0.4 0.1 0.2 3.1 2.6 35 2.9 35.3 56.8 33.3 81.8 2.91 63.3 59.5
Zach Erwin - 22 12.2 4.3 2.9 1.1 0.3 0.2 0.7 3.5 4.7 -61 -2.9 -32.0 48.7 36.4 60.7 -2.89 53.8 51.3
Eric Kenesie - 22 19.7 3.9 1.0 1.5 0.8 0.2 0.4 3.3 3.9 15 0.7 5.0 40.3 33.3 66.7 -1.94 52.9 50.0
Austin Hilmer - 22 14.8 3.5 1.5 0.9 1.5 0.1 0.9 3.2 3.3 2 0.1 1.2 40.0 27.9 60.0 -1.25 50.3 48.6
Anton Fontin - 22 7.1 3.3 1.8 0.5 0.2 0.0 0.5 2.1 3.2 46 2.2 42.0 54.3 25.0 70.0 1.07 60.8 55.4
Joe Bean - 18 7.9 2.0 1.4 0.7 0.5 0.1 0.4 1.9 2.3 5 0.3 6.9 40.0 11.1 53.8 -2.01 44.2 41.4
Josiah Minikwu - 1 2.4 2.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 - - - 100.0 0 0 - 100.0 100.0
Dalton Dilbert - 5 2.7 1.2 0.4 0.2 0.0 0.0 0.0 1.8 0.0 - - - 22.2 28.6 0 - 33.3 33.3
Mason Harter - 4 2.3 1.2 1.0 0.5 0.0 0.0 0.2 0.5 2.0 -4 -1.0 -60.8 100.0 100.0 0 -0.76 125.0 125.0
William Spielbauer - 2 1.6 0.0 0.0 0.0 0.0 0.0 0.0 0.5 -0.5 -4 -2.0 -75.0 0.0 0.0 0 -0.67 0.0 0.0
Trey Wright - 2 2.5 0.0 0.0 0.5 0.0 0.0 0.0 0.0 0.5 -4 -2.0 -104.3 0 0 0 -0.64 0 0
Maddox Griffin - 1 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Cole Blackford - 1 2.4 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