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Denison

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
Also known as: Denison
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 → 1162 (#16) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1390 (#4) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1249 (#11) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +29.2 (#6) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +25.3 (#92) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.890 (#251) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +29.4 More → 0.986 (#94) NetEff +29.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +23.2 More → 0.936 (#180) AdjNet +23.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +23.0 More → 0.938 (#180) AdjNet +23.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.6 | AdjD 58.5 More → 0.783 (#187) AdjO 72.6 | AdjD 58.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.2 | AdjD 52.7 More → 0.885 (#24) AdjO 75.2 | AdjD 52.7
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 → 0.933 (#42) 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 → 0.932 (#35) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 114 | GP 21 More → 1427 (#7) RD 114 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Muskingum W 104 - 48
2025-11-12 vs Wilmington (OH) W 85 - 46
2025-11-15 vs Transylvania W 77 - 73
2025-11-16 vs Franklin W 76 - 70
2025-11-19 @ Franciscan W 84 - 49
2025-11-22 @ Ohio Northern W 63 - 54
2025-11-25 @ Olivet W 85 - 51
2025-12-03 @ DePauw W 59 - 52
2025-12-29 vs Albright W 72 - 48
2025-12-30 @ Roanoke W 80 - 57
2026-01-10 @ Wooster W 88 - 47
2026-01-14 vs Oberlin W 93 - 56
2026-01-17 @ John Carroll W 58 - 41
2026-01-21 vs Wittenberg W 84 - 68
2026-01-24 @ Ohio Wesleyan L 65 - 72
2026-01-31 @ Kenyon W 85 - 58
2026-02-04 vs DePauw W 57 - 40
2026-02-07 vs Wooster W 96 - 54

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%
Ada Taute - 18 27.4 13.0 7.1 3.3 2.7 0.3 1.8 11.4 13.2 283 14.2 77.3 47.1 21.8 48.3 4.22 50.5 50.0
Abby Cooch - 18 28.3 12.7 3.3 4.6 1.8 0.2 2.4 10.3 9.8 293 14.0 79.5 39.8 32.6 81.2 5.59 53.2 47.3
Adelyn Moore - 18 15.4 9.1 5.2 0.9 1.2 0.0 1.4 8.8 6.2 203 9.7 119.9 36.1 32.5 71.0 2.25 47.5 44.6
Anelly Mad-toingué - 17 20.8 8.0 10.6 0.6 0.8 2.6 1.8 7.2 13.7 227 11.3 92.3 46.7 0 61.1 3.59 49.3 46.7
Violet Mitchell - 18 19.0 6.9 3.3 1.3 1.2 0.1 1.3 6.7 4.8 148 7.0 64.5 34.2 24.2 73.7 -0.0 45.7 40.4
Brooke Toigo - 18 17.3 6.5 2.2 1.2 1.2 0.1 1.0 6.3 3.8 167 8.0 80.8 36.3 35.9 57.1 0.42 47.9 46.5
Molly Dorighi - 18 19.7 6.5 3.5 1.1 1.9 0.0 1.3 5.4 6.3 145 7.2 58.8 33.0 18.5 66.7 3.11 45.5 35.6
Isabelle Mcfadden - 1 10.0 4.0 1.0 1.0 3.0 0.0 2.0 3.0 4.0 176 8.8 100.7 33.3 0.0 100.0 1.29 51.5 33.3
Anelly Mad-Toingué - 1 15.0 4.0 9.0 0.0 1.0 0.0 0.0 5.0 9.0 - - - 20.0 0 50.0 - 29.6 20.0
Hannah Grudzien - 13 8.4 3.8 1.5 0.3 0.4 0.4 0.5 3.4 2.5 115 7.7 168.9 45.5 0.0 75.0 1.14 49.7 45.5
Morgan Kress - 16 12.1 3.8 3.1 0.4 0.3 0.8 0.7 3.4 4.2 66 3.9 39.6 45.5 0.0 47.6 0.84 46.7 45.5
Jess Zittel - 11 8.1 2.6 1.3 0.6 0.2 0.0 0.4 2.5 1.8 36 2.6 58.6 35.7 33.3 100.0 0.46 49.5 46.4
Maeve Perry - 7 3.6 1.4 1.3 0.3 0.0 0.1 0.6 1.1 1.4 -5 -0.7 -29.3 62.5 0 0 -0.41 62.5 62.5
Izzy Arguelles - 9 5.3 1.1 0.8 0.3 0.7 0.0 0.7 2.2 0.0 51 5.1 112.9 20.0 28.6 0 0.94 25.0 25.0
Grace Dressell - 10 3.6 1.1 1.7 0.4 0.2 0.2 1.0 1.3 1.3 -21 -2.1 -73.8 23.1 0.0 83.3 -1.44 35.2 23.1
Gillian Magner - 11 5.8 1.1 0.2 0.5 0.5 0.1 0.6 1.2 0.5 2 0.2 3.8 38.5 0.0 66.7 -1.74 41.9 38.5
Maeve Gaffney - 10 4.2 1.0 1.2 0.1 0.4 0.0 0.4 1.3 1.0 -16 -1.6 -63.1 30.8 28.6 0 -0.47 38.5 38.5
Jamie Elliott - 11 3.7 0.8 0.9 0.3 0.3 0.0 0.3 1.1 0.9 -14 -1.2 -31.4 8.3 16.7 100.0 0.29 30.7 12.5
Katie Houpt - 10 4.9 0.3 0.7 0.3 0.2 0.0 0.2 1.1 0.2 20 1.8 51.6 9.1 9.1 0 0.24 13.6 13.6

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