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Purchase Panthers

Also known as: Purchase Panthers
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.

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 → 819 (#599) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 807 (#585) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1031 (#241) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -16.4 (#333) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -7.1 (#482) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.429 (#511) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -32.3 More → 0.018 (#66) NetEff -32.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -21.7 More → 0.076 (#667) AdjNet -21.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -22.0 More → 0.072 (#667) AdjNet -22.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 63.8 | AdjD 79.6 More → 0.193 (#661) AdjO 63.8 | AdjD 79.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.2 | AdjD 70.1 More → 0.480 (#458) AdjO 69.2 | AdjD 70.1
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 → 0.352 (#539) 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 → 0.381 (#518) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 22 More → 965 (#414) RD 102 | GP 22

2025 Schedule & Results

Date Vs/At Opponent Result Score
2024-11-07 @ FDU L 72 - 112
2024-11-16 vs Lehman W 80 - 73
2024-11-19 vs Hunter W 89 - 70
2024-11-23 vs JWU (Providence) W 65 - 64
2024-11-30 vs CCNY L 54 - 68
2024-12-02 @ Russell Sage L 65 - 70
2024-12-04 @ Mitchell L 76 - 81
2024-12-08 @ Elms W 73 - 62
2024-12-15 vs Yeshiva L 50 - 66
2024-12-29 @ NYU L 54 - 74
2024-12-30 vs Kenyon L 64 - 73
2025-01-04 @ Sarah Lawrence L 63 - 72
2025-01-08 vs Manhattanville W 88 - 64
2025-01-11 @ Mt. St. Mary (NY) W 87 - 64
2025-01-15 vs UMSV W 67 - 58
2025-01-18 vs St. Joseph's (Brkln) W 75 - 66
2025-01-21 @ Old Westbury L 75 - 76
2025-01-25 vs Farmingdale St. W 67 - 65
2025-01-29 @ SUNY Maritime L 52 - 70
2025-02-01 @ St. Joseph's (L.I.) L 67 - 68
2025-02-05 vs Merchant Marine W 90 - 59
2025-02-09 @ Yeshiva L 82 - 90
2025-02-11 vs Sarah Lawrence W 65 - 62
2025-02-16 @ Manhattanville W 83 - 77
2025-02-19 vs Mt. St. Mary (NY) W 85 - 71
2025-02-22 @ UMSV W 68 - 65
2025-02-25 @ Yeshiva L 59 - 88

2025 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%
Rashid Nikiema - 25 29.6 18.1 5.9 2.2 1.3 1.4 2.4 13.7 12.8 34 3.4 6.9 44.9 39.0 87.9 0.44 59.0 54.2
Gabe Bristow - 25 29.2 10.0 3.5 1.5 1.0 0.6 1.6 8.6 6.4 6 0.6 0.9 40.7 38.5 85.0 0.76 56.3 54.7
Chad Duke - 26 22.5 10.0 2.5 1.5 1.1 0.6 1.7 8.9 5.1 22 2.8 6.7 42.0 26.6 73.1 0.46 49.9 45.7
Trey Skeete - 27 29.1 8.2 6.2 2.9 1.7 0.2 1.6 8.2 9.3 30 2.7 4.6 34.4 31.9 58.1 0.71 46.3 44.6
Matthew Phillips - 27 18.4 6.7 5.7 1.3 0.5 1.2 1.1 5.9 8.3 20 2.2 6.7 46.9 26.7 58.7 0.24 50.2 48.1
Tyler Bond - 26 20.8 5.0 2.7 2.2 0.7 0.0 1.8 5.4 3.3 -61 -5.1 -11.6 32.1 20.0 75.7 0.03 41.6 36.4
Wesley Fulcher - 25 18.9 4.9 2.8 1.6 0.8 0.1 1.6 4.8 3.7 2 0.3 1.5 34.7 28.4 67.9 0.07 45.8 42.6
Desmond Ward - 19 11.1 4.4 2.9 0.8 0.7 0.3 0.8 3.7 4.6 4 0.8 1.7 42.3 36.7 83.3 0.32 56.4 54.9
Sean Holzman - 27 10.6 2.5 2.3 0.6 0.3 0.1 0.6 2.9 2.4 11 0.7 8.5 32.9 28.3 50.0 -0.01 41.5 41.1
Elijah Abrams - 20 6.7 1.7 1.6 0.4 0.3 0.4 0.7 2.1 1.6 6 2.0 5.6 27.9 22.2 100.0 -0.04 37.2 32.6
Kris Cummings - 20 3.5 1.3 0.7 0.1 0.0 0.1 0.4 1.0 0.8 -2 -0.5 -4.4 50.0 0.0 54.5 -0.39 52.3 50.0
Chris Hunter - 22 3.0 0.8 0.5 0.3 0.2 0.0 0.4 1.0 0.5 - - - 38.1 0.0 14.3 - 33.1 38.1
Sean Garcia - 23 1.3 0.6 0.2 0.2 0.0 0.1 0.5 0.6 -0.1 -14 -7.0 -206.1 35.7 33.3 0 -1.09 46.4 46.4
Omari Hart - 25 1.4 0.5 0.3 0.2 0.1 0.1 0.2 0.3 0.6 -6 -3.0 -88.3 50.0 0.0 50.0 -1.09 52.1 50.0
Mahir Ahmed - 23 0.8 0.4 0.0 0.0 0.0 0.0 0.2 0.3 0.0 4 1.0 19.0 42.9 20.0 100.0 -0.67 57.1 50.0
William Krapf - 25 0.5 0.3 0.2 0.0 0.0 0.0 0.0 0.2 0.3 - - - 60.0 50.0 0 - 80.0 80.0
Will Beame - 25 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.1 -0.1 - - - 0.0 0.0 0 - 0.0 0.0
Isaiah Tufuoh - 25 0.3 0.0 0.0 0.1 0.0 0.0 0.1 0.0 0.0 - - - 0 0 33.3 - 37.9 0
Dan Dedvukaj - 8 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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