🐻⬇️🏀

Hartford

Also known as: Hartford
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 → 1079 (#131) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1087 (#165) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 966 (#574) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -6.7 (#210) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -11.0 (#544) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.297 (#600) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -16.8 More → 0.126 (#603) AdjNet -16.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -17.1 More → 0.120 (#604) AdjNet -17.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.0 | AdjD 79.5 More → 0.244 (#594) AdjO 67.0 | AdjD 79.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.5 | AdjD 76.8 More → 0.402 (#580) AdjO 72.5 | AdjD 76.8
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 → 0.334 (#550) 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 → 0.343 (#552) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 100 | GP 22 More → 981 (#404) RD 100 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Wooster W 89 - 84
2025-11-14 @ Colby-Sawyer W 86 - 66
2025-11-15 @ Vassar L 74 - 89
2025-11-19 @ Dean W 74 - 72
2025-11-22 vs Rivier W 76 - 72
2025-11-25 @ Mitchell W 84 - 83
2025-12-03 @ Western New Eng. W 76 - 74
2025-12-06 vs Gordon L 76 - 91
2025-12-09 @ Trinity (CT) L 68 - 95
2025-12-11 vs WestConn L 92 - 101
2025-12-29 vs Connecticut Col. W 82 - 81
2026-01-03 vs Suffolk W 67 - 64
2026-01-06 @ JWU (Providence) W 79 - 63
2026-01-10 vs Endicott L 83 - 92
2026-01-14 @ Curry L 68 - 70
2026-01-17 @ Nichols L 97 - 101
2026-01-20 vs Roger Williams W 73 - 71
2026-01-24 @ Wentworth W 67 - 50
2026-01-28 vs Western New Eng. L 55 - 65
2026-01-31 vs JWU (Providence) W 75 - 73
2026-02-03 @ Suffolk L 68 - 70
2026-02-07 vs U New England L 87 - 94

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%
Kyle Winters - 21 35.2 14.2 5.2 2.7 0.8 0.0 2.5 13.0 7.5 73 3.8 18.3 40.8 31.6 75.5 1.22 50.6 47.6
Kaosi Chijioke - 15 24.7 11.6 7.3 1.3 0.6 0.2 2.1 8.9 9.9 34 2.3 14.9 41.8 31.6 72.5 -1.05 52.9 46.3
Drew Stack - 20 29.5 10.7 2.7 1.4 0.8 0.5 1.6 8.9 5.5 65 3.4 28.4 35.8 32.9 77.8 2.48 53.8 50.0
Kent Olewiler - 10 26.9 10.7 4.4 1.6 1.4 0.2 2.0 9.0 7.3 24 2.7 64.6 47.8 36.7 83.3 0.89 56.2 53.9
Ben Miller - 20 16.8 9.9 1.2 1.2 0.6 0.1 1.4 7.3 4.3 -4 -0.2 -2.1 41.5 31.0 80.6 -2.56 56.1 49.0
River Eberhardt - 16 24.1 8.7 6.2 1.1 0.9 0.6 1.8 8.8 6.9 5 0.3 1.9 38.3 14.3 62.5 -2.02 43.8 40.4
Joshua Petion - 21 24.6 8.2 5.2 2.3 1.3 0.7 2.1 6.0 9.6 54 2.7 15.2 52.0 0.0 60.6 5.05 55.1 52.0
Jaron Broomfield - 22 22.5 7.3 4.8 0.7 0.9 0.2 1.4 5.4 7.2 44 2.1 12.3 46.6 27.6 74.5 0.5 58.0 53.4
Cooper Galdenzi - 16 7.4 3.6 1.3 0.2 0.1 0.0 0.5 3.0 1.8 4 0.3 8.9 35.4 35.7 87.5 1.17 52.7 45.8
Dayn Campbell - 5 8.8 3.4 1.0 1.0 0.6 0.0 0.4 2.6 3.0 -6 -1.2 -17.7 46.2 16.7 100.0 0.51 57.6 50.0
Leonard Pelzer - 21 10.2 3.1 3.1 0.3 0.1 0.7 1.3 2.1 3.9 -44 -2.2 -44.7 68.9 0 30.0 -2.17 65.8 68.9
Jalen Fleming - 8 9.8 2.6 1.9 0.1 0.1 0.1 1.0 3.0 0.9 - - - 29.2 21.1 60.0 - 40.1 37.5
Jared Similien - 2 4.8 2.0 0.0 0.0 0.0 0.0 0.5 1.0 0.5 - - - 100.0 0 0 - 100.0 100.0
Daniel Nason - 6 6.5 1.5 0.8 0.3 0.3 0.5 0.3 1.0 2.2 -27 -2.5 -589.1 66.7 0 33.3 0.66 61.5 66.7
Reggie Selden - 8 8.6 1.5 0.6 1.1 0.2 0.0 1.4 2.0 0.1 18 2.6 293.9 25.0 16.7 50.0 -0.02 32.2 28.1
Zach Skinner - 16 7.0 0.8 2.1 0.4 0.6 0.0 0.6 0.8 2.5 8 0.6 6.4 30.8 0 45.5 1.35 36.4 30.8
Solomon Mihelcic - 4 3.5 0.8 0.2 0.0 0.0 0.0 0.2 0.8 0.0 - - - 33.3 50.0 0 - 50.0 50.0

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