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Endicott

Also known as: Endicott
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†’ 1429 (#4) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1381 (#7) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More โ†’ 1222 (#7) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More โ†’ +5.8 (#51) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More โ†’ +1.3 (#329) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.767 (#54) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +2.4 More โ†’ 0.567 (#89) AdjNet +2.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.2 More โ†’ 0.563 (#88) AdjNet +2.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.3 | AdjD 77.4 More โ†’ 0.545 (#82) AdjO 79.3 | AdjD 77.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 80.7 | AdjD 73.6 More โ†’ 0.656 (#140) AdjO 80.7 | AdjD 73.6
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 โ†’ 0.722 (#180) 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†’ 0.725 (#170) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 127 | GP 21 More โ†’ 1384 (#4) RD 127 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs John Jay W 92 - 66
2025-11-08 @ Baruch W 99 - 73
2025-11-12 vs MIT W 71 - 62
2025-11-16 vs Tufts W 76 - 73
2025-11-19 vs Nichols W 84 - 73
2025-11-21 @ Southern Me. W 100 - 80
2025-11-22 @ Colby L 89 - 93
2025-12-02 @ Regis (MA) W 77 - 61
2025-12-06 @ Wentworth W 91 - 56
2025-12-09 vs St. Joseph's (ME) W 99 - 84
2025-12-13 vs Salem St. W 90 - 82
2026-01-03 vs Curry W 83 - 66
2026-01-06 vs Western New Eng. W 73 - 58
2026-01-10 @ Hartford W 92 - 83
2026-01-14 @ Gordon W 86 - 60
2026-01-17 vs Suffolk W 69 - 44
2026-01-20 @ Curry W 84 - 76
2026-01-28 vs Wentworth - Incomplete score
2026-01-31 @ Nichols - Incomplete score
2026-02-03 @ Roger Williams W 84 - 83
2026-02-07 vs JWU (Providence) W 102 - 80
2026-02-11 @ U New England W 103 - 72
2026-02-14 vs Hartford W 79 - 72
2026-02-17 @ Suffolk W 74 - 69
2026-02-21 vs Roger Williams W 81 - 65
2026-02-27 vs Nichols W 78 - 75
2026-03-01 vs Western New Eng. W 87 - 66
2026-03-06 vs Neumann W 96 - 82
2026-03-07 vs Cortland W 58 - 57
2026-03-13 @ Ill. Wesleyan L 77 - 83

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%
Marcus Montagnino - 28 34.0 22.5 8.3 4.6 1.6 0.2 2.5 14.5 20.2 - - - - 57.5 36.4 80.0 - 65.4 60.5
Elijah Kinney - 25 29.5 20.8 11.8 1.4 0.9 2.6 1.8 13.6 22.0 - - - - 55.7 35.2 82.8 - 64.1 58.5
Caden Sullivan - 25 29.6 10.9 3.2 2.2 1.4 0.5 0.9 8.1 9.3 - - - - 43.1 36.0 87.7 - 59.0 53.2
Matt Boen - 23 26.2 9.3 3.4 2.0 1.3 0.4 1.0 6.8 8.7 - - - - 47.1 32.9 63.2 - 57.5 54.8
AJ Forte - 12 21.6 8.8 1.8 0.8 0.4 0.3 0.9 7.1 4.2 - - - - 42.4 44.1 57.1 - 60.2 60.0
Jeff Hill - 28 21.2 6.1 1.4 1.6 0.7 0.1 0.9 7.1 2.0 - - - - 31.0 29.7 69.0 - 39.4 35.8
Cam Keliher - 25 22.8 3.6 2.6 2.2 0.5 0.0 0.7 3.1 5.0 - - - - 37.2 38.7 63.6 - 53.7 52.6
Andrew Mitchell - 18 10.3 3.6 0.9 0.4 0.3 0.1 0.5 3.4 1.5 - - - - 37.7 35.7 69.2 - 48.7 45.9
Joey DaSilva - 20 5.1 2.1 0.9 0.5 0.1 0.0 0.1 1.8 1.6 - - - - 33.3 34.4 70.0 - 52.0 48.6
Max Grenert - 22 6.4 2.1 0.8 0.4 0.0 0.2 0.3 2.0 1.3 - - - - 34.9 35.5 71.4 - 49.9 47.7
Liam Dunfee - 25 6.2 1.9 1.7 0.2 0.2 0.1 0.5 1.5 2.2 - - - - 47.4 33.3 61.1 - 52.3 48.7
Jason Romans - 19 5.5 1.3 1.1 0.5 0.3 0.1 0.1 1.1 2.1 - - - - 50.0 40.0 50.0 - 59.9 60.0
Thomas Hunt - 2 0.5 1.0 0.5 0.0 0.0 0.0 0.0 0.5 1.0 - - - - 100.0 0 0 - 100.0 100.0
Jack Lewis - 12 1.4 0.7 0.1 0.1 0.1 0.0 0.0 0.2 0.7 - - - - 33.3 33.3 62.5 - 61.3 50.0
Carter Koenig - 20 3.7 0.6 0.6 0.3 0.1 0.1 0.1 0.6 1.0 - - - - 41.7 16.7 0.0 - 42.7 45.8
Reece Goodman - 15 1.8 0.6 0.4 0.2 0.0 0.0 0.2 0.3 0.7 - - - - 60.0 60.0 0 - 90.0 90.0

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