🐻⬇️🏀

Farmingdale St.

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
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 → 1236 (#17) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1201 (#36) -
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 +2.3 More → +0.9 (#112) HCA +2.3
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 → 1236 (#38) RD 110 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ Stony Brook L 59 - 66
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 L 60 - 84
2026-01-28 vs Mt. St. Mary (NY) W 89 - 40
2026-01-31 @ UMSV W 99 - 70
2026-02-04 vs Sarah Lawrence W 85 - 74
2026-02-07 vs Old Westbury W 91 - 58

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 - 22 28.8 14.7 4.3 4.7 1.9 0.4 1.5 12.0 12.4 206 10.8 78.4 45.5 39.8 70.6 2.31 54.9 52.1
Sean Conroy - 21 29.7 13.6 4.6 3.7 1.3 0.6 2.0 12.8 9.0 173 9.1 60.3 39.6 33.8 71.1 2.74 50.0 48.1
Kentrell Evans - 22 20.8 10.7 8.3 0.7 0.5 0.4 1.2 7.3 12.0 109 5.7 52.1 59.6 0 63.8 3.75 61.7 59.6
Liam Buckley - 20 24.3 10.2 6.1 1.2 0.7 0.3 1.1 6.8 10.7 96 5.6 38.5 57.8 34.9 80.5 -0.91 66.6 63.3
Jordan Tucker - 22 18.5 9.1 4.0 1.1 0.9 0.3 1.1 6.0 8.2 116 6.1 72.5 50.8 40.9 71.2 1.8 59.8 54.2
Dylon Stanley - 22 15.4 5.8 2.8 0.6 0.5 0.9 0.8 4.5 5.2 108 5.7 79.9 55.0 28.6 44.1 -0.44 55.2 56.0
Derek Reed - 17 19.8 5.5 2.1 2.2 0.5 0.1 1.1 5.7 3.6 43 2.9 61.6 40.2 21.1 87.5 -0.73 46.3 44.3
Robbie Siechen - 21 16.5 4.5 1.8 1.1 0.5 0.2 0.4 3.5 4.2 114 6.0 47.7 47.9 33.3 77.8 4.35 58.7 55.5
James Notias - 18 10.3 3.7 1.5 1.1 0.7 0.1 0.7 3.4 2.9 42 2.8 38.8 43.5 14.3 62.5 1.54 47.8 45.2
Conor Griffin - 13 10.1 3.6 1.8 0.8 0.4 0.2 0.2 3.4 3.2 61 6.1 71.3 40.9 26.3 60.0 1.66 48.6 46.6
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
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 1.66 33.3 33.3
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 0.4 75.0 75.0
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 0.35 42.9 42.9
Dimaunte Gardner - 8 4.4 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 0.82 45.7 40.0
Michael Spisto - 19 13.2 1.3 1.6 1.6 0.6 0.0 1.2 1.8 2.1 37 2.3 51.8 23.5 27.3 100.0 0.42 33.1 27.9
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 0.4 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 0.64 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