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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 โ†’ 1274 (#21) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1216 (#44) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More โ†’ 1185 (#20) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More โ†’ +0.5 (#119) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More โ†’ +6.2 (#270) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.890 (#4) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +11.3 More โ†’ 0.795 (#22) NetEff +11.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +2.7 More โ†’ 0.576 (#87) AdjNet +2.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.5 More โ†’ 0.572 (#86) 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 โ†’ 0.544 (#83) 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 โ†’ 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 โ†’ 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 โ†’ 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 โ†’ 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 W 73 - 63
2025-11-15 vs Cortland L 78 - 79
2025-11-16 vs Albright W 81 - 72
2025-11-19 @ Baruch W 86 - 73
2025-11-22 vs Ramapo W 90 - 75
2025-11-29 vs Wesleyan (CT) W 75 - 73
2025-12-03 @ SUNY New Paltz W 86 - 76
2025-12-06 @ NYU L 68 - 84
2025-12-10 vs Swarthmore W 87 - 72
2025-12-13 @ Old Westbury W 83 - 66
2026-01-03 vs St. Joseph's (Brkln) W 92 - 60
2026-01-07 vs St. Joseph's (L.I.) W 85 - 74
2026-01-10 @ Merchant Marine W 56 - 41
2026-01-14 @ SUNY Maritime W 82 - 76
2026-01-17 @ Manhattanville W 76 - 74
2026-01-20 vs Purchase W 83 - 61
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
2026-02-10 @ St. Joseph's (Brkln) W 92 - 63
2026-02-14 @ St. Joseph's (L.I.) W 89 - 84
2026-02-18 vs Merchant Marine W 92 - 78
2026-02-21 vs SUNY Maritime W 94 - 56
2026-02-25 vs St. Joseph's (L.I.) W 83 - 62
2026-02-27 vs Sarah Lawrence W 82 - 75
2026-03-01 @ Yeshiva L 72 - 79

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%
Michael Notias - 26 28.9 14.8 3.9 4.7 1.8 0.3 1.6 12.2 11.7 - - - - 44.0 41.7 72.5 - 53.9 50.3
Sean Conroy - 25 29.9 14.2 4.7 3.9 1.4 0.4 2.1 12.6 10.0 - - - - 40.6 36.3 76.4 - 52.3 49.7
Kentrell Evans - 26 21.1 10.7 8.5 0.7 0.7 0.3 1.3 7.0 12.5 - - - - 61.5 0 63.1 - 63.3 61.5
Liam Buckley - 24 24.3 10.3 6.3 1.4 0.6 0.5 1.3 6.8 10.9 - - - - 57.9 34.6 81.2 - 66.7 63.4
Jordan Tucker - 26 18.7 9.5 3.8 1.1 0.9 0.3 1.1 6.3 8.3 - - - - 50.6 42.3 73.2 - 60.0 54.0
Robbie Siechen - 25 18.3 6.1 2.2 1.3 0.6 0.3 0.6 4.1 5.7 - - - - 52.9 38.0 78.8 - 65.7 62.3
Dylon Stanley - 26 14.7 5.3 3.0 0.7 0.7 0.7 0.8 4.3 5.0 - - - - 50.9 40.0 52.8 - 53.6 52.7
Derek Reed - 18 17.8 4.9 1.8 1.9 0.4 0.1 1.1 5.1 3.1 - - - - 40.7 22.2 87.5 - 47.1 45.1
James Notias - 22 9.9 3.5 1.4 1.0 0.7 0.0 0.6 3.2 2.8 - - - - 44.3 23.5 68.8 - 50.0 47.1
Conor Griffin - 17 9.6 3.2 1.6 0.8 0.5 0.2 0.3 3.4 2.6 - - - - 36.8 26.9 54.5 - 44.5 43.0
Dameek Horton - 5 2.9 2.0 0.2 0.0 0.2 0.0 0.8 1.4 0.2 - - - - 57.1 100.0 0 - 71.4 71.4
Evan Grant - 7 2.4 1.4 0.9 0.1 0.0 0.0 0.6 1.1 0.7 - - - - 62.5 0.0 0 - 62.5 62.5
Michael Spisto - 23 12.8 1.3 1.4 1.5 0.5 0.0 0.9 1.7 2.1 - - - - 23.7 26.7 100.0 - 35.3 28.9
Jacob Roman - 10 3.0 1.2 1.4 0.0 0.1 0.1 0.2 1.4 1.2 - - - - 42.9 0.0 0 - 42.9 42.9
Dimaunte Gardner - 12 3.6 1.2 1.3 0.3 0.2 0.1 0.2 0.8 2.2 - - - - 44.4 0 43.8 - 46.8 44.4
Mazin Ibrahem - 3 1.1 0.7 0.0 0.0 0.0 0.0 0.0 1.0 -0.3 - - - - 33.3 0.0 0 - 33.3 33.3
Brady DelValle - 10 2.8 0.5 0.3 0.0 0.1 0.0 0.0 0.8 0.1 - - - - 25.0 16.7 0 - 31.2 31.2
Colin Strohm - 8 3.1 0.0 0.4 0.0 0.1 0.1 0.1 1.1 -0.6 - - - - 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