🐻⬇️🏀

Rowan

Also known as: Rowan
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 → 863 (#567) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 884 (#512) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1025 (#264) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -4.2 (#182) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -4.2 (#420) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.508 (#462) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +3.0 More → 0.585 (#324) AdjNet +3.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.7 More → 0.578 (#323) AdjNet +2.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 84.0 | AdjD 82.2 More → 0.541 (#327) AdjO 84.0 | AdjD 82.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 78.0 | AdjD 77.3 More → 0.517 (#360) AdjO 78.0 | AdjD 77.3
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 → 0.415 (#469) 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 → 0.447 (#444) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 103 | GP 23 More → 1004 (#367) RD 103 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Penn L 72 - 119
2025-11-09 @ Wilkes L 77 - 86
2025-11-12 @ Mary Washington L 87 - 94
2025-11-15 @ Drew L 92 - 95
2025-11-18 vs Johns Hopkins L 73 - 79
2025-11-20 @ Delaware Valley L 93 - 100
2025-11-25 @ Montclair St. L 86 - 100
2025-12-03 @ Rutgers-Camden L 68 - 70
2025-12-06 vs New Jersey City L 72 - 85
2025-12-10 vs Kean W 67 - 56
2025-12-13 @ Wm. Paterson W 71 - 70
2026-01-02 vs Chris. Newport L 56 - 64
2026-01-03 vs Widener L 84 - 89
2026-01-07 vs TCNJ L 70 - 81
2026-01-10 @ Ramapo W 104 - 75
2026-01-14 @ Stockton L 82 - 107
2026-01-17 vs Rutgers-Newark W 83 - 59
2026-01-21 vs Montclair St. L 87 - 99
2026-01-24 @ New Jersey City W 74 - 69
2026-01-28 vs Rutgers-Camden W 68 - 66
2026-01-31 vs Wm. Paterson W 77 - 51
2026-02-04 @ Kean W 92 - 76
2026-02-07 vs Ramapo W 73 - 65

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%
Jay Randall - 1 40.0 23.0 9.0 4.0 1.0 3.0 0.0 11.0 29.0 76 4.8 30.1 90.9 100.0 22.2 2.02 76.9 95.5
Taz Cantey - 22 31.2 16.7 5.6 3.2 1.8 0.1 3.2 13.7 10.5 29 1.4 8.4 46.7 30.3 67.7 -2.19 53.3 50.0
Brycen Williams - 22 33.0 15.6 1.6 1.1 1.3 0.2 1.1 12.2 6.5 48 2.5 14.0 41.0 30.7 84.5 0.22 55.4 48.9
Khalil Baker - 22 21.8 12.1 7.1 1.1 0.6 0.5 2.2 9.5 9.7 33 1.6 12.4 48.6 14.3 64.9 -1.05 52.9 48.8
Kaden Bates - 1 32.0 11.0 5.0 2.0 4.0 0.0 1.0 7.0 14.0 139 8.7 66.4 42.9 25.0 80.0 2.89 59.8 50.0
Michael Pirone - 22 21.2 7.4 2.8 1.2 1.3 0.2 1.2 6.3 5.3 -10 -0.5 -3.7 44.9 25.0 70.3 -1.54 52.5 49.3
CJ Hayes - 18 12.9 6.9 2.1 0.6 1.1 0.2 1.3 4.3 5.2 41 2.7 101.0 52.6 52.6 80.5 -3.57 65.1 59.0
Khamai Orange - 20 22.9 6.5 4.7 1.7 1.6 0.2 1.6 4.5 8.6 84 4.7 32.4 51.1 39.4 65.0 4.46 60.9 58.3
Chris McCarron - 19 19.0 4.9 2.1 0.8 0.9 0.1 1.1 4.4 3.2 33 1.9 14.3 39.3 32.1 75.0 2.21 52.1 50.0
Ife Okebiorun - 22 21.3 4.2 4.7 0.5 0.3 1.7 1.0 3.0 7.4 31 1.6 11.3 57.6 0 68.0 1.16 60.4 57.6
Dan Mason - 9 14.6 4.0 3.3 0.2 0.0 1.3 1.2 4.0 3.7 -51 -6.4 -90.9 33.3 27.6 100.0 -1.59 47.7 44.4
Nafi Walker-Muhammad - 8 12.9 3.8 0.9 0.5 0.2 0.1 0.9 4.0 0.6 - - - 37.5 26.3 50.0 - 45.6 45.3
Skip Burton - 3 14.3 3.7 2.0 1.7 0.3 0.0 1.3 5.0 1.3 5 2.5 8.0 20.0 12.5 100.0 0.56 32.8 23.3
Colin Mitchell - 1 15.0 3.0 2.0 0.0 0.0 0.0 0.0 2.0 3.0 58 3.9 74.0 50.0 50.0 0 -0.26 75.0 75.0
Nic Johnson - 19 6.8 1.7 0.8 0.3 0.4 0.2 0.2 1.4 1.8 25 1.8 82.9 37.0 16.7 70.6 0.66 47.9 38.9
Christian Conklin - 9 4.8 1.7 0.4 0.1 0.1 0.0 0.3 1.6 0.4 - - - 35.7 25.0 100.0 - 50.4 46.4
Jordan Jones - 9 3.4 1.1 0.2 0.1 0.6 0.0 0.3 1.0 0.7 140 7.0 50.0 22.2 0.0 75.0 2.66 39.9 22.2
Damien Edwards - 5 2.1 1.0 0.6 0.2 0.0 0.0 0.2 0.6 1.0 100 4.8 27.8 66.7 50.0 0 1.29 83.3 83.3
Owen Pottenburgh - 1 9.0 1.0 4.0 0.0 0.0 1.0 0.0 0.0 6.0 74 4.4 205.6 0 0 50.0 0.41 56.8 0
LJ Hagan - 7 2.2 0.0 0.1 0.1 0.4 0.0 0.3 0.6 -0.1 - - - 0.0 0.0 0.0 - 0.0 0.0
Giorgio Franceschi - 3 3.4 0.0 0.7 0.0 0.0 0.0 0.0 1.3 -0.7 - - - 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