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MIT

Also known as: MIT
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 โ†’ 748 (#371) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 883 (#281) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More โ†’ 868 (#707) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More โ†’ -7.9 (#232) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More โ†’ -10.1 (#530) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.189 (#353) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -15.8 More โ†’ 0.140 (#287) AdjNet -15.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -15.8 More โ†’ 0.137 (#286) AdjNet -15.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.8 | AdjD 82.5 More โ†’ 0.256 (#285) AdjO 70.8 | AdjD 82.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.6 | AdjD 75.3 More โ†’ 0.373 (#605) AdjO 69.6 | AdjD 75.3
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 โ†’ 0.272 (#601) 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 โ†’ 0.275 (#614) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 23 More โ†’ 882 (#495) RD 102 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Harvard - Incomplete score
2025-11-10 @ Wentworth W 69 - 67
2025-11-12 @ Endicott L 62 - 71
2025-11-15 vs Rhode Island Col. W 79 - 73
2025-11-18 @ Salem St. W 73 - 68
2025-11-20 @ Framingham St. W 83 - 67
2025-11-21 @ Fitchburg St. L 72 - 75
2025-11-25 vs Tufts L 67 - 74
2025-11-29 vs Bowdoin L 68 - 75
2025-12-03 @ Clark (MA) L 68 - 84
2025-12-06 vs Salve Regina L 54 - 68
2026-01-03 @ UMass Dartmouth L 72 - 84
2026-01-07 @ Springfield L 57 - 66
2026-01-10 @ Wheaton (MA) W 60 - 55
2026-01-13 vs Emerson L 63 - 78
2026-01-17 @ WPI L 66 - 77
2026-01-20 vs Babson L 51 - 80
2026-01-22 @ Coast Guard L 80 - 87
2026-01-24 vs Clark (MA) - Incomplete score
2026-01-28 vs Springfield L 69 - 79
2026-01-31 @ Salve Regina L 63 - 66
2026-02-04 vs Wheaton (MA) L 83 - 84
2026-02-07 @ Emerson W 86 - 77
2026-02-14 vs WPI L 65 - 70
2026-02-18 @ Babson L 49 - 61
2026-02-21 vs Coast Guard L 91 - 93

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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Isaac Dobie - 17 28.5 14.1 4.2 1.6 1.0 0.0 2.9 11.8 6.2 - - - - 40.3 31.0 64.4 - 51.5 48.0
Parker Spann - 13 32.1 12.8 6.1 1.7 1.4 0.5 2.9 10.6 8.9 - - - - 46.4 32.0 51.7 - 50.8 49.3
Michael Zhang - 17 29.1 11.5 2.3 1.0 0.8 0.2 1.8 10.7 3.2 - - - - 39.0 35.1 77.8 - 51.3 49.7
Rome Delgado-Gonzalez - 23 34.5 9.4 5.3 2.5 0.8 0.2 2.0 6.7 9.5 - - - - 40.6 38.7 88.6 - 58.4 50.0
Wyatt Mowery - 19 24.4 9.4 5.7 1.7 0.5 2.2 2.5 8.5 8.5 - - - - 38.3 34.8 86.1 - 50.3 45.7
Jackson Weiland - 6 31.9 8.7 3.5 3.0 1.0 0.3 2.2 6.7 7.7 - - - - 47.5 42.9 72.7 - 58.0 55.0
Merlin Gogolin - 23 16.7 5.9 3.6 1.6 0.5 0.2 1.4 5.0 5.4 - - - - 43.9 25.0 66.0 - 49.6 44.7
Will Bland - 2 16.9 5.5 5.0 3.0 0.5 0.5 2.5 4.5 7.5 - - - - 55.6 33.3 0.0 - 55.7 61.1
Mike Ewing - 18 21.8 5.1 3.4 0.3 0.3 0.2 1.0 4.3 4.1 - - - - 41.6 35.9 59.1 - 52.5 50.6
Paulius Karvelis - 2 12.6 4.0 1.5 1.0 0.5 0.0 0.0 3.5 3.5 - - - - 14.3 25.0 83.3 - 41.5 21.4
Woods Windham - 12 13.9 3.8 3.8 0.5 0.7 0.1 0.6 3.4 4.8 - - - - 43.9 16.7 56.2 - 47.9 45.1
Henry Marshall - 15 8.4 2.1 1.1 0.4 0.2 0.1 0.5 1.5 1.8 - - - - 34.8 33.3 81.8 - 55.7 47.8
Daniel Allen - 2 4.5 2.0 1.0 0.0 0.5 0.0 0.5 2.0 1.0 - - - - 50.0 0 0 - 50.0 50.0
Dusan Dobric - 1 8.4 2.0 2.0 4.0 0.0 0.0 1.0 2.0 5.0 - - - - 50.0 0 0 - 50.0 50.0
Samuel Chen - 18 11.0 0.9 1.2 0.9 0.5 0.0 0.4 1.9 1.2 - - - - 17.1 28.6 50.0 - 23.7 22.9
Yusuf Young - 1 8.4 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

Not enough players with both Numbers/Game and RAPM to plot.

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