🐻⬇️🏀

Haverford

Also known as: Haverford
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 → 931 (#485) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 881 (#510) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 828 (#739) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → -9.1 (#330) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -13.4 (#588) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.296 (#602) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -18.8 More → 0.103 (#640) AdjNet -18.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -18.9 More → 0.098 (#641) AdjNet -18.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.1 | AdjD 81.0 More → 0.236 (#615) AdjO 68.1 | AdjD 81.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.9 | AdjD 75.8 More → 0.349 (#630) AdjO 68.9 | AdjD 75.8
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 → 0.245 (#628) 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 → 0.248 (#635) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 97 | GP 21 More → 843 (#518) RD 97 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Valley Forge - Incomplete score
2025-11-13 vs Rosemont - Incomplete score
2025-11-15 vs Misericordia - Incomplete score
2025-11-19 @ Immaculata - Incomplete score
2025-11-25 vs Delaware Valley - Incomplete score
2025-12-03 @ Arcadia - Incomplete score
2025-12-06 @ Neumann - Incomplete score
2025-12-10 @ Penn St.-Berks - Incomplete score
2025-12-13 vs Nichols - Incomplete score
2025-12-31 @ Goucher - Incomplete score
2026-01-03 vs Marywood - Incomplete score
2026-01-07 @ Franklin & Marshall - Incomplete score
2026-01-10 vs Muhlenberg - Incomplete score
2026-01-14 @ Ursinus - Incomplete score
2026-01-17 @ Dickinson - Incomplete score
2026-01-21 vs Franklin & Marshall - Incomplete score
2026-01-24 vs Washington Col. - Incomplete score
2026-01-28 @ Muhlenberg - Incomplete score
2026-01-31 vs Johns Hopkins - Incomplete score
2026-02-04 @ Swarthmore - Incomplete score
2026-02-07 @ McDaniel - Incomplete score

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%
Adam Strong-Jacobson - 21 22.3 12.5 8.4 1.3 1.0 1.6 1.7 7.6 15.7 -28 -1.3 -21.6 58.5 38.7 67.7 -0.58 65.3 62.3
Gaven Marr - 15 20.9 9.1 3.6 1.4 0.9 0.1 1.7 8.8 4.5 8 0.5 11.3 34.1 32.8 75.8 0.28 46.4 42.0
Christian Uremovich - 21 19.6 8.0 3.0 1.3 0.8 0.2 0.8 6.5 6.0 - - - 53.7 0 75.9 - 56.5 53.7
Emmanuel Cheung Hernandez - 21 14.4 7.0 3.8 1.1 1.1 0.0 2.1 6.2 4.7 21 1.0 8.4 45.4 37.5 43.9 0.76 47.1 46.5
Tyler Nolan - 21 18.8 7.0 2.5 0.5 1.0 0.3 0.9 7.5 3.0 -7 -0.3 -3.1 30.4 27.5 69.2 0.8 42.2 38.3
Carter Warren - 21 19.0 5.8 2.4 2.3 0.9 0.0 2.1 5.8 3.5 -49 -2.3 -26.5 31.1 27.5 80.0 -0.64 45.5 41.4
Raja Coleman - 21 20.8 5.7 2.1 1.7 0.5 0.0 1.5 5.9 2.6 31 1.6 10.8 30.6 27.6 62.2 1.35 42.8 39.1
Niko Rizos - 20 14.4 5.2 4.8 1.0 0.6 0.7 1.4 4.8 6.1 21 1.1 6.5 45.8 11.8 52.0 1.87 48.1 46.9
Isaac Varghese - 21 11.9 4.0 1.0 0.8 0.4 0.0 1.2 4.0 1.1 42 2.6 25.2 34.9 34.8 78.6 -0.04 47.7 44.6
Alex George - 21 19.3 3.3 1.1 1.8 0.5 0.0 1.0 2.4 3.4 8 0.4 5.7 56.0 37.5 73.3 0.13 61.8 59.0
Seth Anderson - 21 15.0 2.5 3.3 1.3 0.4 0.2 0.8 3.3 3.6 -27 -1.3 -9.0 30.0 22.2 57.1 -3.72 35.6 34.3
Kae Kilic - 15 3.6 2.3 0.5 0.3 0.2 0.0 0.1 1.1 2.1 31 2.1 81.5 68.8 61.5 80.0 1.2 93.4 93.8
Josh Ho - 11 2.7 1.5 0.3 0.3 0.2 0.0 0.2 1.3 0.7 3 0.3 10.1 35.7 50.0 62.5 - 45.7 39.3
Henry Nam - 11 2.6 1.1 0.4 0.1 0.0 0.0 0.2 0.9 0.5 -7 -0.7 -29.2 50.0 100.0 0 -1.1 60.0 60.0
Ian Hochman - 14 3.8 0.4 1.0 0.0 0.1 0.1 0.1 0.8 0.7 -19 -1.5 -29.7 18.2 20.0 0 -1.81 22.7 22.7

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