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Farmingdale St.

Also known as: Farmingdale St.
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 → 1239 (#23) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1201 (#48) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1185 (#20) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +0.9 (#188) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +6.2 (#270) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.890 (#245) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +11.3 More → 0.795 (#22) NetEff +11.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +2.7 More → 0.576 (#328) AdjNet +2.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.5 More → 0.572 (#327) AdjNet +2.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.9 | AdjD 75.0 More → 0.544 (#323) AdjO 76.9 | AdjD 75.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 80.5 | AdjD 70.4 More → 0.714 (#93) AdjO 80.5 | AdjD 70.4
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 → 0.724 (#178) 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 → 0.736 (#157) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 110 | GP 22 More → 1235 (#39) RD 110 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ Stony Brook - Incomplete score
2025-11-11 @ New Jersey City - Incomplete score
2025-11-15 vs Cortland - Incomplete score
2025-11-16 vs Albright - Incomplete score
2025-11-19 @ Baruch - Incomplete score
2025-11-22 vs Ramapo - Incomplete score
2025-11-29 vs Wesleyan (CT) - Incomplete score
2025-12-03 @ SUNY New Paltz - Incomplete score
2025-12-06 @ NYU - Incomplete score
2025-12-10 vs Swarthmore - Incomplete score
2025-12-13 @ Old Westbury - Incomplete score
2026-01-03 vs St. Joseph's (Brkln) - Incomplete score
2026-01-07 vs St. Joseph's (L.I.) - Incomplete score
2026-01-10 @ Merchant Marine - Incomplete score
2026-01-14 @ SUNY Maritime - Incomplete score
2026-01-17 @ Manhattanville - Incomplete score
2026-01-20 vs Purchase - Incomplete score
2026-01-24 @ Yeshiva - Incomplete score
2026-01-28 vs Mt. St. Mary (NY) - Incomplete score
2026-01-31 @ UMSV - Incomplete score
2026-02-04 vs Sarah Lawrence - Incomplete score
2026-02-07 vs Old Westbury - Incomplete score

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%
Michael Notias - 21 28.8 14.6 4.1 4.8 2.0 0.4 1.4 11.8 12.7 206 10.8 78.4 45.6 40.2 70.6 4.92 55.2 52.2
Sean Conroy - 20 29.6 13.8 4.5 3.8 1.2 0.6 1.9 12.5 9.4 173 9.1 60.3 40.8 34.6 71.1 2.55 51.6 49.6
Kentrell Evans - 21 20.7 10.8 8.4 0.7 0.5 0.3 1.2 7.2 12.2 109 5.7 52.1 60.5 0 63.2 2.53 62.4 60.5
Liam Buckley - 19 24.0 10.5 6.2 1.2 0.7 0.4 1.2 6.9 10.8 96 5.6 38.5 58.3 35.7 79.5 -0.27 67.0 64.0
Jordan Tucker - 21 19.0 9.4 4.0 1.1 0.9 0.2 1.1 6.2 8.4 116 6.1 72.5 50.8 40.9 71.2 1.25 59.9 54.2
Derek Reed - 16 20.0 5.6 2.0 2.1 0.5 0.1 1.2 5.7 3.4 43 2.9 61.6 40.7 22.2 87.5 -1.87 47.1 45.1
Dylon Stanley - 21 15.2 5.6 2.7 0.6 0.5 0.8 0.8 4.3 5.1 108 5.7 79.9 54.9 28.6 48.4 0.8 55.9 56.0
Robbie Siechen - 20 16.7 4.6 1.8 1.1 0.5 0.2 0.4 3.5 4.2 114 6.0 47.7 48.6 32.3 77.8 0.45 59.0 55.7
Conor Griffin - 12 10.2 3.9 1.8 0.8 0.4 0.2 0.2 3.6 3.2 61 6.1 71.3 41.9 26.3 60.0 3.33 49.6 47.7
James Notias - 17 10.6 3.8 1.5 1.2 0.7 0.1 0.6 3.6 3.0 42 2.8 38.8 44.3 14.3 64.3 0.89 48.4 45.9
Dameek Horton - 4 3.6 2.5 0.2 0.0 0.2 0.0 1.0 1.8 0.2 - - - 57.1 100.0 0 - 71.4 71.4
Evan Grant - 3 3.7 2.0 1.7 0.3 0.0 0.0 1.3 1.3 1.3 5 1.7 22.3 75.0 0 0 - 75.0 75.0
Mazin Ibrahem - 1 3.4 2.0 0.0 0.0 0.0 0.0 0.0 3.0 -1.0 13 2.6 67.2 33.3 0.0 0 0.42 33.3 33.3
Jacob Roman - 7 4.1 1.7 2.0 0.0 0.1 0.1 0.3 2.0 1.7 -3 -0.4 -9.3 42.9 0.0 0 - 42.9 42.9
Dimaunte Gardner - 8 4.5 1.4 1.9 0.5 0.2 0.1 0.4 0.6 3.1 11 1.4 26.2 40.0 0 43.8 - 45.7 40.0
Michael Spisto - 18 13.0 1.3 1.6 1.6 0.6 0.0 1.1 1.8 2.2 37 2.3 51.8 25.0 27.3 100.0 -2.12 35.1 29.7
Brady DelValle - 6 3.6 0.5 0.5 0.0 0.0 0.0 0.0 0.8 0.2 1 0.2 4.5 20.0 20.0 0 - 30.0 30.0
Colin Strohm - 4 4.8 0.0 0.8 0.0 0.2 0.0 0.2 2.0 -1.2 -2 -0.5 -7.3 0.0 0.0 0 - 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