🐻⬇️🏀

DePauw

Also known as: DePauw
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 → 1035 (#156) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1171 (#72) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1105 (#90) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +22.1 (#22) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +14.9 (#162) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.911 (#236) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +11.4 More → 0.820 (#212) NetEff +11.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +32.3 More → 0.977 (#144) AdjNet +32.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +32.2 More → 0.979 (#145) AdjNet +32.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.1 | AdjD 52.1 More → 0.848 (#149) AdjO 71.1 | AdjD 52.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.2 | AdjD 50.6 More → 0.758 (#84) AdjO 63.2 | AdjD 50.6
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 → 0.824 (#119) 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 → 0.819 (#120) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 21 More → 1166 (#93) RD 101 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Transylvania L 52 - 62
2025-11-14 @ Wartburg W 63 - 56
2025-11-15 @ Gustavus Adolphus L 52 - 56
2025-11-19 @ Millikin W 80 - 53
2025-11-29 vs WashU L 52 - 70
2025-11-30 vs Wis.-La Crosse W 64 - 60
2025-12-03 vs Denison L 52 - 59
2025-12-16 @ Albion W 77 - 66
2025-12-20 @ Williams W 72 - 37
2025-12-29 vs Trine L 51 - 60
2025-12-30 vs Ohio Northern W 60 - 30
2026-01-10 @ Oberlin W 69 - 63
2026-01-14 @ Wittenberg W 51 - 32
2026-01-17 vs Kenyon W 67 - 47
2026-01-21 @ Ohio Wesleyan L 50 - 55
2026-01-24 vs Wooster W 79 - 73
2026-01-31 @ John Carroll L 50 - 59
2026-02-04 @ Denison L 40 - 57
2026-02-07 vs Oberlin W 69 - 42

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%
Riley Mont - 19 29.2 13.1 6.6 1.9 2.6 0.1 1.6 13.5 9.2 51 2.4 13.6 34.4 28.4 67.7 2.58 43.7 40.0
Olivia Hart - 19 28.9 11.9 6.7 1.1 0.8 0.9 1.4 11.6 8.4 42 2.0 10.8 40.3 0.0 68.1 -0.12 44.9 40.3
Tori Allen - 18 28.5 8.7 1.7 2.8 1.2 0.1 2.0 6.0 6.6 51 2.5 22.3 48.1 36.5 80.5 -0.45 61.9 56.9
Campbell Schrank - 18 20.9 7.4 4.1 0.5 1.2 0.1 1.9 5.3 6.1 44 2.2 27.1 45.3 23.1 71.2 -0.04 55.4 48.4
Diana Burgher - 19 22.6 5.5 4.4 1.3 0.6 0.2 1.3 6.3 4.5 59 2.8 21.2 35.3 35.0 73.7 0.71 41.2 38.2
Lily Huntzinger - 19 20.2 4.2 2.5 1.1 0.6 0.2 0.9 4.8 2.7 50 2.4 15.2 34.8 31.4 57.1 3.24 41.5 40.8
Hannah Lach - 19 13.9 3.7 2.1 1.0 0.6 0.2 1.0 3.8 2.7 21 1.0 10.7 37.5 18.8 66.7 2.92 44.5 41.7
Alina Prusko - 19 15.6 2.6 1.2 0.9 0.7 0.2 1.0 3.2 1.5 24 1.1 9.2 30.0 16.7 57.9 -1.14 36.6 32.5
Bren Hill - 19 15.2 2.5 3.6 0.7 0.8 0.4 0.8 2.6 4.6 34 1.6 17.5 40.8 0.0 70.0 1.36 44.0 40.8
Hannah Meyers - 7 4.7 1.7 0.4 0.1 0.0 0.0 0.1 1.6 0.6 -2 -0.2 -6.5 45.5 33.3 0 1.13 54.5 54.5
Lauren Dady - 11 5.7 1.3 1.9 0.2 0.4 0.3 1.5 1.6 0.9 -12 -1.0 -21.9 27.8 0 100.0 0.36 35.4 27.8
Vivian Byerly - 3 1.3 0.7 0.0 0.0 0.0 0.0 0.0 0.3 0.3 - - - 100.0 0 0 - 100.0 100.0
Sofia O'Sullivan - 5 1.6 0.6 0.2 0.0 0.0 0.0 0.2 0.6 0.0 -2 -0.4 -29.8 33.3 0 50.0 -0.29 38.7 33.3
Nora Emerson - 5 1.8 0.4 0.2 0.2 0.0 0.0 0.0 0.2 0.6 -8 -1.6 -119.3 100.0 0 0 -0.29 100.0 100.0
Meg Hamilton - 5 2.0 0.0 0.2 0.0 0.2 0.0 0.4 0.4 -0.4 -5 -1.0 -74.5 0.0 0.0 0 -0.29 0.0 0.0
Chloe Gonzalez - 5 3.6 0.0 0.6 0.2 0.2 0.0 0.8 0.2 0.0 -12 -2.4 -113.4 0.0 0 0 -0.21 0.0 0.0
Josie Grunzinger - 5 1.2 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.2 -6 -1.2 -200.0 0 0 0 -0.22 0 0
Kiera Burns - 1 0.3 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