🐻⬇️🏀

Calvin

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 → 1199 (#23) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1187 (#45) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1052 (#168) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +9.1 (#26) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +2.3 (#316) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.874 (#253) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +32.2 More → 0.970 (#7) NetEff +32.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +15.0 More → 0.850 (#207) AdjNet +15.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +14.7 More → 0.848 (#209) AdjNet +14.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.0 | AdjD 65.9 More → 0.716 (#217) AdjO 76.0 | AdjD 65.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.1 | AdjD 68.7 More → 0.641 (#162) AdjO 75.1 | AdjD 68.7
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 → 0.658 (#250) 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 → 0.656 (#253) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 104 | GP 21 More → 1122 (#139) RD 104 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Denison L 59 - 61
2025-11-08 @ Ohio Wesleyan W 64 - 46
2025-11-15 vs Colorado Col. W 85 - 70
2025-11-22 vs Wis.-Stout W 81 - 66
2025-11-28 vs Heidelberg W 74 - 49
2025-12-06 vs Wis.-Oshkosh W 89 - 52
2025-12-12 vs Kuyper W 79 - 56
2025-12-19 vs Augustana (IL) L 60 - 64
2025-12-20 vs Concordia Wisconsin W 80 - 71
2025-12-29 vs Wilmington (OH) W 87 - 78
2025-12-30 @ Mount Union L 72 - 78
2026-01-07 vs Alma W 91 - 78
2026-01-10 @ Adrian W 92 - 68
2026-01-14 @ Kalamazoo W 81 - 47
2026-01-17 vs Albion W 80 - 77
2026-01-21 @ Trine L 68 - 88
2026-01-24 @ Hope W 80 - 65
2026-01-28 vs Olivet L 69 - 76
2026-01-31 @ Albion L 69 - 73
2026-02-04 vs Adrian W 92 - 59
2026-02-07 vs Kalamazoo W 91 - 55

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%
Jalen Overway - 21 31.8 23.8 11.1 3.6 0.4 1.1 2.3 14.5 23.2 120 5.7 21.3 62.3 25.6 70.5 4.8 66.9 63.9
Trevin Winkle - 21 31.8 13.2 6.1 3.1 1.1 0.7 2.7 8.2 13.2 61 2.9 11.3 51.4 40.6 86.6 -0.1 66.2 59.5
Parker Swartz - 21 29.7 8.9 4.6 1.7 0.5 0.9 1.4 8.1 7.1 34 1.6 6.5 35.9 23.3 75.4 1.83 47.7 42.1
Jordan Scott - 14 23.5 8.7 3.3 1.6 0.6 0.0 1.7 7.2 5.3 33 2.4 23.5 41.6 33.3 69.4 -0.57 52.2 48.0
Luka Ressler - 21 30.0 8.5 4.6 4.4 1.3 0.4 2.0 6.5 10.7 103 4.9 19.8 50.4 39.5 56.2 2.46 62.1 62.0
Zion Ruckard - 21 18.2 5.6 2.4 1.0 0.5 0.0 0.7 4.5 4.2 92 4.6 25.9 41.1 34.1 89.3 2.59 54.5 48.4
Brady Ewing - 21 13.8 4.4 2.5 0.7 0.3 0.4 1.0 3.2 4.1 114 5.4 39.6 47.8 42.1 75.0 1.06 62.1 59.7
JT McIllwain - 21 16.2 4.3 2.5 0.7 0.8 0.0 0.5 4.0 3.7 30 1.4 9.2 38.8 12.0 70.0 0.67 45.8 40.6
TUNA TEKSEN - 3 2.0 2.0 0.7 0.3 0.0 0.0 0.0 0.7 2.3 2 0.7 15.3 100.0 100.0 100.0 -0.72 123.0 125.0
Quincy Winkle - 5 3.8 1.8 0.8 0.6 0.2 0.2 0.4 1.2 2.0 - - - 50.0 40.0 50.0 - 65.4 66.7
Ben Heagle - 15 5.3 1.7 1.4 0.2 0.1 0.1 0.1 1.3 1.9 25 1.7 40.1 50.0 0 33.3 -0.94 47.0 50.0
Jaydon Keefer - 12 5.5 1.5 0.8 0.2 0.2 0.1 0.3 2.1 0.3 14 1.2 85.9 24.0 20.0 100.0 0.07 34.8 32.0
Bryce O'Mara - 2 1.2 1.0 0.5 0.0 0.0 0.0 0.0 0.0 1.5 -1 -0.5 -25.3 0 0 100.0 -0.87 113.6 0
Andy Spoelman - 4 1.5 0.8 0.2 0.0 0.2 0.0 0.5 0.8 0.0 2 0.5 15.3 33.3 100.0 0 -0.72 50.0 50.0
Tyler Carlson - 7 2.7 0.7 0.1 0.0 0.1 0.1 0.0 0.6 0.6 19 2.7 93.6 50.0 50.0 0 0.64 62.5 62.5
Quinton Sall - 6 2.7 0.7 0.8 0.3 0.0 0.2 0.0 1.0 1.0 -3 -0.5 -23.0 16.7 16.7 50.0 -0.72 29.1 25.0
Michael DeKuiper - 8 3.8 0.6 1.0 1.1 0.0 0.1 0.0 1.0 1.9 7 0.9 29.8 25.0 0.0 100.0 -0.54 29.6 25.0
Luke Riebel - 7 3.0 0.4 0.7 0.0 0.0 0.0 0.3 1.6 -0.7 5 0.7 20.6 9.1 10.0 0 -0.23 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