๐Ÿปโฌ‡๏ธ๐Ÿ€

Queens (NY)

Also known as: Queens (NY)
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†’ 709 (#289) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 787 (#281) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 895 (#534) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ -9.1 (#282) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More โ†’ -9.8 (#458) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.319 (#244) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +28.5 More โ†’ 0.965 (#143) NetEff +28.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -9.9 More โ†’ 0.242 (#279) AdjNet -9.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -10.0 More โ†’ 0.238 (#279) AdjNet -10.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.2 | AdjD 79.0 More โ†’ 0.329 (#278) AdjO 71.2 | AdjD 79.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.4 | AdjD 78.2 More โ†’ 0.310 (#538) AdjO 69.4 | AdjD 78.2
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†’ 0.291 (#479) 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†’ 0.286 (#490) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 96 | GP 22 More โ†’ 814 (#443) RD 96 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Adelphi L 52 - 77
2025-11-16 @ Pace W 65 - 59
2025-11-22 @ Lincoln (PA) W 62 - 60
2025-11-25 vs Adelphi L 82 - 91
2025-11-30 @ Assumption L 91 - 104
2025-12-05 @ Daemen L 51 - 76
2025-12-07 @ D'Youville L 84 - 90
2025-12-10 vs Franklin Pierce L 71 - 85
2025-12-14 vs Roberts Wesleyan W 92 - 86
2025-12-17 vs Pace L 67 - 72
2025-12-20 @ Georgian Court W 74 - 71
2025-12-31 @ Bridgeport L 69 - 83
2026-01-03 vs Lincoln (PA) L 63 - 82
2026-01-07 @ American Int'l W 72 - 69
2026-01-10 @ Molloy L 78 - 87
2026-01-16 vs Daemen - Incomplete score
2026-01-18 vs D'Youville - Incomplete score
2026-01-21 @ Mercy W 69 - 61
2026-01-24 vs St. Thomas Aquinas - Incomplete score
2026-01-28 @ Staten Island - Incomplete score
2026-01-31 vs Dist. Columbia W 81 - 79
2026-02-04 vs Molloy - Incomplete score
2026-02-15 @ Roberts Wesleyan L 62 - 80
2026-02-18 vs Mercy W 82 - 69
2026-02-22 @ St. Thomas Aquinas L 85 - 94
2026-02-26 vs Staten Island L 65 - 97
2026-02-28 @ Dist. Columbia L 67 - 82

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%
Tahj-Malik Campbell - 24 31.3 18.6 10.0 2.2 1.7 1.6 1.8 15.7 16.7 - - - - 44.4 33.7 66.9 - 51.8 48.3
Henri Mennander - 25 25.9 10.8 8.6 1.0 0.4 1.4 1.6 7.6 13.0 - - - - 54.5 15.8 59.0 - 57.4 55.2
Dontae Prescott - 22 27.8 10.2 2.1 2.2 2.3 0.3 2.2 11.2 3.6 - - - - 30.1 30.4 72.4 - 41.2 37.0
Johnny Jones - 24 22.7 7.9 2.9 1.5 1.4 0.4 1.7 8.7 3.8 - - - - 31.7 26.1 68.8 - 42.8 40.4
Lleyton Fried - 26 22.9 7.6 2.3 1.5 0.7 0.1 1.2 6.3 4.7 - - - - 41.1 26.2 82.1 - 52.5 46.3
Ahmad Galimore - 23 19.5 5.7 2.7 0.6 0.5 0.5 1.3 4.3 4.5 - - - - 45.9 31.9 75.0 - 58.0 53.6
Jaden Pena - 24 16.0 4.8 3.8 1.1 0.4 0.7 1.7 4.6 4.6 - - - - 39.6 15.8 58.1 - 44.6 41.0
David Teele - 24 15.6 4.5 1.5 1.5 0.5 0.0 1.0 4.9 2.0 - - - - 30.8 25.9 65.6 - 41.2 37.2
Tyler Michel - 26 16.9 3.8 1.4 1.3 0.9 0.0 1.0 3.9 2.5 - - - - 33.3 25.8 84.6 - 43.2 37.3
Jawuan Smith - 22 7.1 1.9 1.6 0.2 0.3 0.1 0.5 2.0 1.6 - - - - 40.9 20.0 50.0 - 44.2 43.2
Williams Guzman - 21 7.8 1.9 1.3 0.2 0.2 0.1 0.6 1.9 1.3 - - - - 28.2 0.0 62.1 - 38.6 28.2
Aaron Mitchell - 16 5.5 0.7 1.4 0.2 0.1 0.6 0.5 0.8 1.8 - - - - 41.7 0 25.0 - 40.0 41.7
Jake Foley - 4 4.0 0.2 0.2 0.0 0.0 0.0 0.0 0.0 0.5 - - - - 0 0 50.0 - 56.8 0
Darius Mihai - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Anthony Caris - 1 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

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