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Rhode Island Col.

Also known as: Rhode Island Col.
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 → 942 (#476) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1031 (#314) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 979 (#556) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -1.5 (#138) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -3.7 (#405) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.382 (#541) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -9.8 More → 0.245 (#491) AdjNet -9.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -8.5 More → 0.271 (#471) AdjNet -8.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.1 | AdjD 76.4 More → 0.361 (#475) AdjO 70.1 | AdjD 76.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.2 | AdjD 72.7 More → 0.511 (#381) AdjO 73.2 | AdjD 72.7
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 → 0.478 (#419) 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 → 0.475 (#430) 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 → 1015 (#345) RD 96 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Nichols W 91 - 81
2025-11-11 vs Worcester St. W 79 - 74
2025-11-15 @ MIT L 73 - 79
2025-11-18 vs Brandeis L 76 - 80
2025-11-22 @ Salve Regina L 76 - 80
2025-11-25 vs Bridgewater St. W 113 - 73
2025-11-30 vs Williams W 70 - 63
2025-12-03 vs UMass Dartmouth W 87 - 63
2025-12-06 @ Plymouth St. W 67 - 58
2025-12-13 vs VTSU Castleton W 78 - 54
2025-12-19 @ Connecticut Col. L 64 - 85
2026-01-06 @ Southern Me. L 86 - 101
2026-01-08 @ WestConn L 68 - 91
2026-01-10 vs Keene St. W 72 - 63
2026-01-15 vs Colby L 63 - 76
2026-01-17 vs UMass Boston L 64 - 77
2026-01-21 @ Eastern Conn. St. W 99 - 92
2026-01-24 vs Plymouth St. W 83 - 53
2026-01-28 @ UMass Dartmouth W 89 - 82
2026-01-31 @ VTSU Castleton L 57 - 61
2026-02-04 vs Southern Me. L 68 - 74
2026-02-07 @ UMass Boston L 69 - 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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Thomas Whelan - 1 30.0 30.0 3.0 3.0 1.0 0.0 0.0 15.0 22.0 16 1.1 4.3 46.7 33.3 100.0 0.16 70.9 53.3
Elias Espinosa - 1 31.0 21.0 6.0 3.0 1.0 1.0 1.0 14.0 17.0 -27 -1.6 -12.1 57.1 55.6 0 0.29 75.0 75.0
Gabe Lash - 1 37.0 21.0 5.0 7.0 0.0 1.0 1.0 13.0 20.0 38 2.5 13.4 46.2 62.5 80.0 2.31 69.1 65.4
Greg Cantwell - 1 34.0 17.0 12.0 5.0 1.0 1.0 1.0 12.0 23.0 -7 -0.4 -2.9 41.7 25.0 85.7 -0.42 56.4 45.8
Xavier Mendez - 20 26.6 16.9 9.4 2.2 1.4 0.3 2.9 12.4 14.9 6 0.3 1.3 48.0 32.1 78.7 0.66 58.4 53.2
Tyriek Weeks - 20 32.3 14.8 8.2 1.3 0.8 1.5 1.8 11.7 13.2 54 2.5 9.8 45.1 30.2 71.8 -0.41 55.2 51.3
Noah Dowling - 1 33.0 14.0 5.0 4.0 2.0 2.0 3.0 7.0 17.0 82 5.5 32.6 71.4 66.7 0 2.65 100.0 100.0
Noe Bom - 18 34.2 14.0 3.6 3.2 1.2 0.1 3.3 10.3 8.4 23 1.1 4.1 50.3 27.5 62.7 0.83 56.9 54.1
Carter Galley - 1 24.0 12.0 5.0 2.0 1.0 0.0 0.0 7.0 13.0 60 4.0 24.3 85.7 0.0 0 0.94 85.7 85.7
Loudon Chupas - 20 26.3 10.2 4.0 1.1 0.7 0.3 1.2 7.8 7.3 47 2.1 12.1 43.2 21.3 69.5 1.95 53.4 47.4
Cohen Galley - 1 14.0 8.0 1.0 2.0 1.0 0.0 0.0 4.0 8.0 34 2.3 14.8 75.0 66.7 0 -0.4 100.0 100.0
Kanye Wavezwa - 4 17.4 7.2 1.5 0.8 0.8 0.0 0.8 5.5 4.0 0 0.0 0.0 31.8 22.2 91.7 0.51 53.2 40.9
CJ Wilson - 19 30.6 5.7 4.1 3.5 1.5 0.3 1.7 4.3 9.2 -7 -0.3 -1.4 44.4 31.6 71.4 -0.42 56.5 51.9
Jalen Claude - 20 18.0 5.5 1.6 0.8 0.7 0.2 0.9 5.0 2.8 53 2.4 20.7 34.0 35.3 70.8 2.51 49.3 46.0
Kyle Prete - 20 10.3 4.9 1.2 0.2 0.3 0.2 0.7 4.1 2.1 -29 -1.3 -14.6 42.7 31.2 92.9 -0.86 55.6 51.8
Andrew Hartel - 1 21.0 4.0 2.0 1.0 0.0 1.0 2.0 6.0 0.0 -10 -0.7 -5.3 33.3 0 0 -2.17 33.3 33.3
Mike Paquette - 19 13.4 2.8 1.9 1.0 0.3 0.0 0.7 2.4 3.1 21 1.0 10.2 35.6 31.6 80.0 0.12 50.2 42.2
Julius Powell - 1 1.0 2.0 1.0 0.0 0.0 0.0 1.0 1.0 1.0 - - - 100.0 0 0 - 100.0 100.0
Quron Zene - 1 10.0 2.0 3.0 0.0 0.0 0.0 0.0 0.0 5.0 22 2.4 93.6 0 0 66.7 -0.83 75.8 0
Elijah Diallo - 8 2.8 1.6 0.8 0.4 0.1 0.0 0.1 1.1 1.6 4 0.4 18.9 44.4 33.3 100.0 0.72 60.4 50.0
Emmanuel Ibidapo - 14 5.8 1.2 1.9 0.5 0.1 0.4 0.4 1.3 2.4 1 0.1 1.8 44.4 0 16.7 1.49 41.2 44.4
Marcio Evora - 5 2.3 1.0 0.4 0.0 0.0 0.0 0.0 1.0 0.4 -2 -0.4 -18.5 40.0 0.0 50.0 0.52 42.5 40.0
Garrett Clar - 1 9.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 -1.0 5 0.3 2.8 0 0 0 -0.56 0 0
Bo Moody - 1 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 0.0
Martin Wilson - 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 16 3.2 290.9 0 0 0 0.34 0 0
Josiah Wright - 1 6.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 -2.0 32 4.0 67.2 0.0 0.0 0 -0.19 0.0 0.0
Alex Hoxie - 4 1.6 0.0 0.8 0.2 0.0 0.0 0.2 0.5 0.2 3 0.8 27.8 0.0 0.0 0.0 0.52 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