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Stockton Ospreys

Also known as: Stockton
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 → 1083 (#129) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1066 (#216) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1081 (#115) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +1.4 (#107) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +0.3 (#344) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.634 (#375) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +9.2 More → 0.719 (#30) NetEff +9.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +4.3 More → 0.621 (#307) AdjNet +4.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +4.0 More → 0.614 (#307) AdjNet +4.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 80.7 | AdjD 77.3 More → 0.575 (#309) AdjO 80.7 | AdjD 77.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 80.1 | AdjD 75.2 More → 0.609 (#203) AdjO 80.1 | AdjD 75.2
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 → 0.582 (#329) 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 → 0.593 (#325) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 98 | GP 22 More → 1108 (#159) RD 98 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ Salisbury L 74 - 83
2025-11-15 @ Gettysburg L 58 - 61
2025-11-19 vs Swarthmore W 81 - 74
2025-11-25 @ Kean L 71 - 79
2025-12-03 vs TCNJ W 80 - 64
2025-12-06 @ Wm. Paterson W 83 - 76
2025-12-10 @ New Jersey City L 64 - 73
2025-12-13 vs Rutgers-Newark W 82 - 59
2025-12-29 @ John Carroll L 81 - 106
2025-12-30 @ Albright W 102 - 94
2026-01-02 vs Widener W 106 - 64
2026-01-03 vs Chris. Newport L 57 - 77
2026-01-07 vs Rutgers-Camden W 78 - 73
2026-01-10 @ Montclair St. L 92 - 94
2026-01-14 vs Rowan W 107 - 82
2026-01-17 @ Ramapo W 76 - 68
2026-01-21 vs Kean W 83 - 70
2026-01-24 vs Wm. Paterson W 77 - 56
2026-01-28 @ TCNJ L 82 - 84
2026-01-31 @ Rutgers-Newark W 78 - 51
2026-02-04 vs New Jersey City W 79 - 73
2026-02-07 vs Montclair St. L 73 - 104

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%
Justin Harper - 22 26.3 14.5 5.0 2.0 0.8 0.4 2.6 12.3 7.8 57 2.6 19.2 43.7 34.3 79.7 0.51 53.9 50.4
Tayvon Gaither - 22 20.2 11.3 4.0 1.5 0.4 0.1 1.9 8.0 7.4 49 2.2 18.0 60.2 0.0 61.7 1.19 61.5 60.2
Eriq Campbell - 22 27.4 11.1 6.2 1.6 1.0 0.3 2.4 8.7 9.2 22 1.0 6.0 44.8 24.2 72.5 0.62 53.9 48.7
Charlie Bell IV - 22 24.0 9.8 4.5 0.7 0.9 0.3 1.0 8.2 6.8 54 2.6 18.9 44.8 35.7 62.2 1.53 54.5 53.0
Logan Mckee - 22 20.3 8.2 5.5 1.4 0.7 0.7 1.6 8.5 6.5 -27 -1.2 -12.2 35.1 24.6 80.0 -1.75 45.2 42.6
Andrew Crawford - 22 26.6 7.6 4.5 3.8 1.9 0.0 1.9 6.4 9.6 62 2.8 18.1 42.6 33.8 88.9 -0.2 54.9 51.1
Devon Johnson - 22 16.7 6.7 2.3 1.2 0.7 0.1 1.0 5.2 4.7 56 2.5 28.8 42.6 35.0 73.3 -0.25 57.7 54.8
Jahmir Payoute - 22 19.8 5.5 5.4 0.9 0.5 0.5 1.1 4.2 7.4 -10 -0.5 -4.8 54.8 41.7 37.5 -1.98 55.2 57.5
Riley Powell - 15 5.6 2.5 1.5 0.1 0.1 0.2 0.5 1.6 2.3 -13 -0.9 -16.2 54.2 0.0 64.7 1.13 58.8 54.2
DJ Germann - 6 14.2 2.5 2.5 1.2 1.7 0.0 1.8 2.5 3.5 19 3.2 33.5 33.3 0.0 45.5 -1.19 37.8 33.3
Anthony Trombetta - 9 4.7 1.7 0.6 0.2 0.2 0.0 0.2 1.1 1.3 -4 -0.5 -8.6 30.0 28.6 87.5 -0.46 55.5 40.0
Alex Fessel - 21 11.0 1.6 1.0 1.1 0.4 0.2 0.7 1.5 2.1 -22 -1.0 -18.2 38.7 23.8 55.6 0.45 48.6 46.8
Alex Konov - 5 7.5 1.4 0.0 0.0 0.0 0.0 0.0 1.4 0.0 -15 -3.0 -45.0 28.6 33.3 50.0 -1.05 44.4 42.9
Colin Raimann - 9 2.8 1.1 0.6 0.2 0.1 0.0 0.0 0.7 1.3 22 2.8 93.0 33.3 33.3 100.0 1.64 61.0 41.7
Miles Chevalier - 2 1.6 0.0 0.5 0.0 0.0 0.0 0.0 0.0 0.5 3 1.5 53.7 0 0 0 0.6 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