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SUNY New Paltz Hawks

Season: 2026 2025 2024 2023 2022 2020 2019 2017 2016 2015
Also known as: SUNY New Paltz Hawks
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2024 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 → 884 (#552) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 907 (#485) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1082 (#113) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -13.8 (#294) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -7.6 (#491) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.577 (#420) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -7.6 More → 0.294 (#459) AdjNet -7.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -7.8 More → 0.286 (#459) AdjNet -7.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.4 | AdjD 75.4 More → 0.367 (#468) AdjO 69.4 | AdjD 75.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.8 | AdjD 73.7 More → 0.502 (#405) AdjO 73.8 | AdjD 73.7
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 → 0.475 (#422) 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 → 0.491 (#411) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 140 | GP 7 More → 1122 (#143) RD 140 | GP 7

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-11-10 @ Skidmore W 79 - 59
2023-11-14 @ Merchant Marine W 69 - 59
2023-11-17 vs Vassar W 76 - 65
2023-11-18 vs Bard L 64 - 66
2023-12-01 @ SUNY Geneseo W 73 - 69
2023-12-02 @ SUNY Brockport W 67 - 55
2023-12-05 vs John Jay W 104 - 58
2023-12-08 vs Misericordia W 89 - 77
2023-12-09 vs Hunter W 76 - 71
2024-01-06 vs SUNY Oneonta L 51 - 58
2024-01-09 vs Cortland W 67 - 61
2024-01-12 @ Fredonia W 96 - 87
2024-01-16 vs Oswego St. L 70 - 92
2024-01-19 vs SUNY Potsdam W 74 - 52
2024-01-20 vs Plattsburgh St. W 74 - 73
2024-01-23 @ Cortland W 83 - 73
2024-01-26 vs Buffalo St. W 83 - 49
2024-01-27 vs Fredonia W 70 - 53
2024-01-30 @ Oswego St. L 83 - 84
2024-02-02 vs SUNY Brockport L 55 - 66
2024-02-03 vs SUNY Geneseo W 84 - 61
2024-02-06 @ Buffalo St. W 74 - 66
2024-02-10 @ SUNY Oneonta L 77 - 85
2024-02-16 @ Plattsburgh St. L 68 - 70
2024-02-17 @ SUNY Potsdam W 87 - 80
2024-02-23 vs SUNY Oneonta W 80 - 59
2024-02-24 @ Oswego St. W 85 - 80
2024-03-01 @ John Carroll L 81 - 85

2024 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%
Kendall Arcuri - 1 36.0 17.0 4.0 1.0 1.0 0.0 3.0 7.0 13.0 -9 -1.1 -8.3 85.7 66.7 100.0 0.26 102.2 100.0
Kareem Lubin - 1 29.0 14.0 7.0 1.0 0.0 0.0 2.0 8.0 12.0 8 2.0 12.0 62.5 0.0 100.0 0.22 71.7 62.5
Aaron Coston - 1 36.0 13.0 7.0 3.0 0.0 0.0 3.0 10.0 10.0 22 1.8 24.8 60.0 50.0 0 0.18 65.0 65.0
Rylan Blondo - 26 29.5 12.9 6.5 2.7 2.0 0.1 2.2 9.6 12.5 1 0.2 0.6 49.6 28.3 74.5 0.6 57.3 52.6
A.J. Knight - 26 30.9 12.5 3.0 2.7 1.6 0.0 1.7 10.3 7.7 -9 -2.2 -6.6 44.6 38.5 83.0 0.35 55.8 52.4
Kobe Bogart - 27 24.5 11.4 4.6 1.1 0.9 0.3 1.7 9.4 7.3 -3 -0.6 -2.3 45.1 31.3 74.6 0.55 54.0 50.2
Alex Krupinski - 26 17.0 8.5 2.0 0.7 0.6 0.0 1.0 7.0 4.0 5 1.0 3.1 44.2 34.5 89.2 0.63 56.3 52.2
Sean St. Lucia - 25 26.7 8.2 3.8 3.5 1.1 0.3 2.4 7.0 7.6 - - - 42.5 34.9 76.6 - 52.9 48.9
Tyreik Frazier - 23 19.0 6.3 3.9 0.7 0.5 1.5 1.0 4.6 7.3 -12 -3.0 -22.0 55.7 0.0 59.1 0.01 57.4 55.7
TayShaun Hawkins - 1 12.0 6.0 1.0 0.0 0.0 0.0 1.0 4.0 2.0 - - - 50.0 66.7 0 - 75.0 75.0
Dakoda Smith - 24 14.8 5.2 3.1 1.2 1.1 0.7 1.3 4.5 5.6 0 0.0 0.0 47.2 8.3 73.3 0.6 51.6 47.7
Isaiah Austin - 1 16.0 4.0 1.0 0.0 0.0 1.0 1.0 3.0 2.0 13 1.2 55.6 66.7 0.0 0 -0.41 66.7 66.7
Lucas Seyoum - 24 10.4 3.4 1.8 0.2 0.4 0.2 0.4 3.5 2.1 5 1.7 15.1 34.9 26.4 64.3 -0.21 45.4 43.4
Solomon Neuhaus - 25 6.6 3.4 0.8 0.4 0.2 0.0 0.5 2.7 1.8 9 3.0 37.6 49.3 45.0 50.0 -0.38 62.6 62.7
Ethan St. Lucia - 27 15.3 3.0 3.6 0.9 0.7 0.3 0.3 3.0 5.2 - - - 37.8 33.9 0.0 - 48.4 50.0
Mitchell Cumings - 26 3.6 1.5 1.3 0.2 0.0 0.2 0.4 1.2 1.6 5 5.0 20.9 56.2 0 57.1 -0.38 57.0 56.2
RJ Meyers-Turner - 26 5.0 1.5 0.7 0.4 0.4 0.0 0.3 1.4 1.3 16 5.3 61.9 35.1 26.7 42.9 -0.33 42.2 40.5
Jack Allen - 23 0.7 0.3 0.1 0.0 0.0 0.0 0.0 0.3 0.1 - - - 33.3 66.7 0 - 50.0 50.0
Thomas Keane - 26 2.0 0.3 0.3 0.2 0.0 0.0 0.0 0.4 0.4 -34 -3.8 -142.2 36.4 16.7 0.0 -0.38 39.3 40.9
Diamonte McMillan - 18 0.7 0.3 0.2 0.2 0.0 0.0 0.1 0.2 0.4 - - - 50.0 0 66.7 - 56.4 50.0
Gaige Armbrewster - 1 3.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 32 2.7 53.9 0 0 0 -0.02 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