🐻⬇️🏀

MSOE

Also known as: MSOE
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 → 1000 (#381) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1036 (#300) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1112 (#77) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -3.6 (#171) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -5.9 (#456) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.555 (#433) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -6.0 More → 0.335 (#436) AdjNet -6.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -6.2 More → 0.328 (#435) AdjNet -6.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.7 | AdjD 80.8 More → 0.407 (#426) AdjO 76.7 | AdjD 80.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 81.2 | AdjD 80.8 More → 0.509 (#385) AdjO 81.2 | AdjD 80.8
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 → 0.482 (#416) 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 → 0.497 (#407) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 99 | GP 22 More → 1087 (#214) RD 99 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Wis.-Stevens Point L 59 - 79
2025-11-15 vs Lake Forest W 93 - 86
2025-11-19 @ Elmhurst L 67 - 71
2025-11-25 vs Carroll (WI) L 80 - 93
2025-11-30 vs Coe W 81 - 72
2025-12-03 vs Dominican (IL) W 96 - 71
2025-12-06 @ Concordia Wisconsin W 113 - 109
2025-12-13 @ St. Norbert L 59 - 72
2025-12-17 @ Wis. Lutheran W 93 - 84
2025-12-29 @ Redlands L 82 - 102
2025-12-30 vs Occidental L 78 - 80
2026-01-03 @ Illinois Tech W 86 - 69
2026-01-07 @ Dominican (IL) W 85 - 82
2026-01-10 vs Concordia Chicago W 99 - 68
2026-01-14 vs Edgewood W 98 - 84
2026-01-17 @ Aurora L 74 - 114
2026-01-21 @ Marian (WI) W 85 - 81
2026-01-24 vs Benedictine (IL) W 74 - 62
2026-01-28 vs Wis. Lutheran W 95 - 70
2026-01-31 vs Concordia Wisconsin W 101 - 87
2026-02-04 @ Lakeland W 100 - 75
2026-02-07 vs Illinois Tech W 87 - 75

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%
Mason Dopirak - 21 32.8 24.8 5.6 2.7 1.0 0.1 2.4 16.0 15.8 178 8.5 45.0 49.6 42.7 91.7 5.77 64.2 56.1
Jonathan Burroughs - 16 29.2 15.2 4.6 1.4 1.1 1.2 2.1 11.0 10.5 145 9.1 33.0 52.8 52.8 76.9 1.88 65.1 63.6
Chase Cummings - 21 32.4 11.2 5.4 1.9 1.0 0.0 1.2 8.4 9.9 149 7.1 32.2 45.8 40.0 83.7 1.7 60.2 56.5
Carson Cordelli - 22 27.5 10.5 5.2 3.1 0.5 0.2 1.5 6.7 11.2 156 7.1 39.1 62.8 50.0 70.9 1.38 67.1 64.9
Joey Jendusa - 21 19.9 6.8 2.1 1.8 0.6 0.1 1.5 4.7 5.2 65 3.1 20.3 51.5 42.3 78.9 -0.04 61.8 57.1
Matus Dopirak - 22 13.8 6.7 2.1 1.2 0.5 0.0 0.8 5.3 4.4 7 0.3 3.6 47.4 38.0 78.3 -0.33 58.3 55.6
Ethan Johnson - 19 18.4 6.5 5.6 1.8 0.5 0.6 1.3 4.6 9.2 129 7.2 116.7 58.0 50.0 79.2 1.3 62.9 59.7
Isaac Wit - 20 16.2 3.9 2.9 0.6 0.2 0.4 1.1 3.2 3.7 25 1.2 12.0 41.5 31.2 58.3 -2.46 51.6 49.2
CJ Valente - 22 12.1 2.6 1.7 0.8 0.2 0.0 0.4 2.0 3.0 0 0.0 0.0 48.9 11.1 92.9 -2.06 56.7 50.0
Daniel Franklin IV - 18 9.2 2.2 1.1 0.3 0.5 0.2 0.5 2.2 1.6 2 0.1 1.9 35.9 25.0 63.6 -2.55 44.5 41.0
Kolby Henderlong - 13 2.1 1.2 0.2 0.1 0.2 0.0 0.2 0.8 0.5 8 0.7 39.1 45.5 45.5 0 0.26 68.2 68.2
Brock Adams - 10 2.8 1.0 0.6 0.3 0.1 0.1 0.2 0.6 1.3 2 0.2 11.9 33.3 0.0 100.0 -0.68 57.9 33.3
Jace Paul - 9 2.9 1.0 1.1 0.2 0.0 0.1 0.2 0.4 1.8 12 1.5 105.1 100.0 100.0 0.0 0.51 84.6 112.5
Mason Accidentale - 7 3.1 0.9 0.3 0.0 0.1 0.0 0.1 0.9 0.3 4 0.7 533.3 33.3 33.3 0 -0.0 50.0 50.0
Chad Coplin - 12 3.3 0.8 0.5 0.1 0.2 0.0 0.2 1.3 0.2 3 0.3 33.2 25.0 0.0 50.0 -0.25 28.2 25.0
Brady Gregg - 6 1.8 0.8 0.2 0.2 0.2 0.0 0.3 0.7 0.3 8 1.6 1066.7 25.0 0.0 75.0 -0.0 43.4 25.0
Dubem Igwilo - 11 3.7 0.6 1.2 0.6 0.0 0.1 0.4 0.5 1.6 10 1.0 63.7 50.0 0 25.0 -0.64 45.1 50.0
Quinn Rosenberg - 10 3.1 0.2 0.5 0.2 0.0 0.0 0.2 0.6 0.1 -25 -2.8 -84.0 16.7 0.0 0 -1.53 16.7 16.7

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