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Calvin

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
Also known as: Calvin
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 → 1049 (#132) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1142 (#91) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1121 (#75) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +19.1 (#35) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +19.6 (#118) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.830 (#283) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +8.2 More → 0.758 (#248) NetEff +8.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +23.7 More → 0.940 (#177) AdjNet +23.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +23.6 More → 0.942 (#179) AdjNet +23.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.9 | AdjD 52.0 More → 0.780 (#188) AdjO 65.9 | AdjD 52.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.7 | AdjD 48.8 More → 0.823 (#47) AdjO 65.7 | AdjD 48.8
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 → 0.853 (#97) 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 → 0.855 (#92) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 98 | GP 22 More → 1157 (#103) RD 98 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ UW-River Falls L 43 - 59
2025-11-08 @ Wis.-La Crosse L 55 - 60
2025-11-14 vs Ohio Wesleyan W 70 - 45
2025-11-15 vs Colorado Col. L 61 - 64
2025-11-25 @ Wilmington (OH) W 82 - 51
2025-11-29 vs Wis.-Whitewater W 61 - 53
2025-12-03 @ St. Mary's (IN) W 61 - 57
2025-12-12 vs Albion W 66 - 50
2025-12-29 vs Tufts W 71 - 62
2025-12-30 @ Bowdoin W 61 - 51
2026-01-10 vs Adrian W 61 - 39
2026-01-14 vs Kalamazoo W 64 - 45
2026-01-17 @ Albion L 52 - 55
2026-01-21 vs Trine L 40 - 46
2026-01-24 vs Hope L 55 - 57
2026-01-28 @ Olivet W 82 - 41
2026-01-31 vs St. Mary's (IN) W 74 - 41
2026-02-04 @ Adrian W 73 - 62
2026-02-07 @ Kalamazoo W 61 - 44

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%
Anna Fernandez - 17 26.8 15.2 5.4 1.8 1.2 0.1 1.4 12.2 10.1 28 1.6 12.9 44.2 35.6 76.6 2.69 54.8 50.5
RyAnn Rohrer - 19 24.4 12.2 8.1 1.3 2.3 0.5 1.6 10.8 11.9 13 0.6 3.8 47.6 0 67.3 0.96 50.5 47.6
Hannah Sall - 10 20.7 8.8 6.7 1.7 0.3 2.3 1.6 7.7 10.5 -14 -1.2 -7.7 51.9 0 53.3 -0.6 52.6 51.9
Katelyn LaRue - 19 25.1 8.0 2.4 0.9 0.8 0.3 1.7 8.2 2.5 -30 -1.4 -8.8 32.7 26.1 76.2 -2.95 43.6 38.5
Lydia Sall - 19 21.4 5.7 5.2 1.7 0.9 2.2 1.9 4.7 9.1 71 3.4 32.7 50.0 0 58.1 2.89 52.1 50.0
Chloe Wiegers - 18 29.1 5.0 2.8 2.9 1.5 0.1 2.6 3.4 6.3 -5 -0.2 -1.2 46.8 14.3 68.2 -0.27 55.3 48.4
Izzy Wotlinski - 1 9.8 5.0 0.0 0.0 0.0 0.0 1.0 5.0 -1.0 -4 -4.0 -8.2 40.0 33.3 0 -0.32 50.0 50.0
Gabby Halliwell - 2 9.5 4.5 1.0 0.0 0.5 0.0 0.5 4.0 1.5 - - - 37.5 37.5 0 - 56.2 56.2
Jamie Custer - 15 17.9 3.8 2.1 1.3 0.7 0.1 1.5 5.0 1.4 46 2.6 19.3 28.0 26.7 25.0 -0.63 35.5 36.0
Gabby Halliwill - 16 11.8 3.1 0.8 0.4 0.6 0.0 0.9 3.9 0.1 28 1.6 24.2 30.2 26.7 0 -0.84 39.7 39.7
Makara Obande - 6 2.8 2.5 0.5 0.3 0.8 0.0 0.3 1.7 2.2 20 2.9 116.5 60.0 50.0 66.7 1.35 66.3 65.0
Emma Witte - 19 8.6 2.3 1.2 0.3 0.5 0.1 1.5 2.7 0.2 7 0.3 4.9 34.6 12.5 62.5 -0.2 38.7 36.5
Sami DeKuiper - 16 9.9 1.8 0.5 0.4 0.5 0.1 0.3 1.9 0.9 37 2.1 53.2 29.0 31.0 50.0 2.29 43.9 43.5
Ashley Raredon - 19 16.7 1.5 3.3 0.4 0.6 0.3 0.5 1.7 3.8 60 2.9 34.4 27.3 0.0 78.6 1.3 37.0 27.3
Adelynn Nyhof - 8 3.1 1.2 0.4 0.0 0.2 0.0 0.1 0.6 1.1 20 2.2 85.4 80.0 66.7 0 0.15 100.0 100.0
Lindsay Minderhoud - 8 5.2 0.8 0.8 0.4 0.0 0.1 0.4 0.6 1.0 15 1.9 75.9 40.0 0.0 50.0 0.94 44.4 40.0
Lily Nitz - 12 4.5 0.7 1.1 0.4 0.2 0.1 0.3 0.9 1.2 25 1.9 54.3 27.3 22.2 0 0.4 36.4 36.4
Lauren VanSumeren - 7 2.3 0.7 0.4 0.3 0.0 0.0 0.1 0.4 0.9 10 1.4 84.8 33.3 0 75.0 0.37 52.5 33.3
Caitlyn Tolentino - 6 2.0 0.0 0.3 0.0 0.2 0.0 0.0 0.7 -0.2 11 1.8 113.8 0.0 0.0 0 -0.14 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