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SUNY Maritime

Also known as: SUNY Maritime
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 → 991 (#396) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 924 (#455) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 999 (#468) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -14.3 (#303) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -3.8 (#409) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.492 (#477) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -17.2 More → 0.121 (#616) AdjNet -17.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -17.6 More → 0.114 (#621) AdjNet -17.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.3 | AdjD 77.4 More → 0.234 (#620) AdjO 64.3 | AdjD 77.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 80.5 | AdjD 78.5 More → 0.545 (#310) AdjO 80.5 | AdjD 78.5
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 → 0.404 (#483) 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 → 0.431 (#460) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 167 | GP 6 More → 940 (#430) RD 167 | GP 6

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-09 @ SUNY New Paltz W 60 - 59
2026-01-24 @ Purchase L 75 - 77
2026-01-28 vs UMSV W 106 - 82
2026-01-31 @ Sarah Lawrence L 65 - 77
2026-02-04 vs Yeshiva L 78 - 94
2026-02-07 @ St. Joseph's (Brkln) W 90 - 73

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%
Zion Williams - 4 34.6 26.2 10.8 4.0 0.2 0.8 4.0 18.5 19.5 10 0.5 1.8 50.0 39.1 75.9 -1.15 60.5 56.1
Jake Devaney - 5 30.2 20.0 6.6 1.4 2.0 2.2 3.2 15.8 13.2 11 1.6 2.0 49.4 18.2 62.1 -0.89 54.5 51.9
Tyler Anderson - 5 30.9 13.4 4.2 2.8 2.6 0.4 2.0 10.0 11.4 49 7.0 9.6 44.0 41.7 81.2 3.12 58.7 54.0
Braden Burman - 1 31.5 12.0 7.0 4.0 0.0 0.0 4.0 11.0 8.0 86 4.1 22.2 27.3 25.0 83.3 -0.04 44.0 31.8
Andrew Kim - 1 32.1 12.0 3.0 1.0 1.0 0.0 2.0 10.0 5.0 120 5.7 33.4 40.0 100.0 60.0 -0.63 49.2 45.0
Chris Dougherty - 1 33.8 10.0 16.0 4.0 2.0 3.0 2.0 9.0 24.0 156 7.1 40.0 44.4 66.7 0 2.11 55.6 55.6
Eamon Kelly - 1 31.5 10.0 4.0 1.0 0.0 0.0 2.0 7.0 6.0 68 3.8 26.9 42.9 50.0 100.0 1.03 60.1 50.0
Thomas Matonti - 1 19.4 8.0 2.0 0.0 1.0 0.0 2.0 7.0 2.0 93 4.4 29.3 42.9 50.0 0 1.12 57.1 57.1
Aiden Morel - 1 7.9 8.0 0.0 0.0 0.0 0.0 0.0 5.0 3.0 67 3.2 37.5 60.0 50.0 0 0.52 80.0 80.0
Chris Zaveckas - 5 19.1 7.4 2.0 0.6 0.6 0.2 0.6 5.8 4.4 20 1.0 7.4 41.4 44.0 40.0 2.16 59.3 60.3
Evan Block - 2 16.9 5.0 5.5 0.5 1.5 0.5 1.0 5.0 7.0 - - - 40.0 28.6 0 - 50.0 50.0
Sean Kivlan - 5 13.1 4.8 3.4 0.8 1.0 0.0 1.0 4.2 4.8 -5 -0.3 -1.9 42.9 42.9 0 0.58 57.1 57.1
Franklin Santos - 2 4.5 4.0 0.0 0.5 0.0 0.0 0.5 2.5 1.5 -3 -0.5 -13.4 60.0 66.7 0 -1.11 80.0 80.0
James O'Connell - 1 16.3 3.0 1.0 2.0 0.0 0.0 2.0 1.0 3.0 -39 -3.5 -280.2 0.0 0 75.0 -1.41 54.3 0.0
John Kairouz - 1 5.0 3.0 1.0 0.0 0.0 0.0 0.0 1.0 3.0 23 1.5 28.1 100.0 0 50.0 -0.04 79.8 100.0
Jaylen Jean-Louis - 4 8.5 2.8 0.2 0.0 0.0 0.0 0.5 2.5 0.0 -1 -0.1 -1.4 30.0 25.0 57.1 -0.53 42.0 35.0
Jesse Tricario - 4 15.8 2.8 3.8 0.2 0.8 0.5 1.2 4.2 2.5 29 1.7 12.7 23.5 0 75.0 3.2 29.3 23.5
Ayden Alleyne - 4 6.7 2.5 2.2 0.5 0.2 0.0 0.2 2.2 3.0 -31 -2.6 -72.9 55.6 0.0 0 -2.02 55.6 55.6
Matthew O'Sullivan - 4 18.1 2.2 1.5 1.5 2.2 0.0 1.2 3.8 2.5 -5 -0.8 -2.2 26.7 25.0 0 -1.67 30.0 30.0
Noah Elovitz Fields - 1 3.4 2.0 0.0 0.0 1.0 0.0 0.0 1.0 2.0 14 1.2 17.9 100.0 0 0 0.85 100.0 100.0
Anthony Lang - 3 13.2 1.3 2.3 0.0 1.0 0.3 0.7 2.7 1.7 40 2.2 27.0 25.0 0.0 0 0.97 25.0 25.0
Kody Robinson - 3 6.4 1.0 1.7 0.7 0.7 0.0 0.3 2.7 1.0 -22 -2.8 -90.6 12.5 33.3 0 -2.61 18.8 18.8
Frank Sweeney - 4 9.1 1.0 2.0 0.8 0.2 0.5 0.0 1.5 3.0 -2 -0.3 -1.6 33.3 0 0 -1.63 33.3 33.3
Spiro Venetis - 4 6.0 0.8 0.5 0.5 0.2 0.2 0.0 0.5 1.8 -4 -0.2 -3.9 50.0 0.0 100.0 0.86 61.5 50.0
Michael Carmody - 2 4.3 0.0 1.0 0.0 0.0 0.0 0.5 0.5 0.0 8 1.3 36.9 0.0 0.0 0 -1.39 0.0 0.0
Cody Schanstra - 2 5.2 0.0 0.5 0.0 0.0 0.0 0.5 0.5 -0.5 -7 -1.2 -26.8 0.0 0 0 -1.15 0.0 0.0
Kyle Jefferson - 1 3.4 0.0 0.0 2.0 0.0 0.0 0.0 0.0 2.0 15 0.8 10.8 0 0 0 -0.83 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