🐻⬇️🏀

Emory Eagles

Also known as: Emory
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 → 1302 (#9) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1359 (#5) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1180 (#26) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +18.0 (#59) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +15.8 (#160) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.852 (#270) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +18.8 More → 0.898 (#183) AdjNet +18.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +18.7 More → 0.899 (#184) AdjNet +18.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 87.1 | AdjD 72.2 More → 0.794 (#181) AdjO 87.1 | AdjD 72.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 84.3 | AdjD 68.1 More → 0.814 (#20) AdjO 84.3 | AdjD 68.1
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 → 0.846 (#61) 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 → 0.842 (#49) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 108 | GP 18 More → 1313 (#15) RD 108 | GP 18

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-09 @ Piedmont - Incomplete score
2025-11-15 @ Trinity (TX) - Incomplete score
2025-11-16 @ UC Santa Cruz - Incomplete score
2025-11-22 @ Guilford - Incomplete score
2025-12-04 vs Huntingdon - Incomplete score
2025-12-07 vs Berry - Incomplete score
2025-12-19 @ Chris. Newport - Incomplete score
2025-12-20 @ TCNJ - Incomplete score
2025-12-29 vs Bates - Incomplete score
2025-12-30 vs Hampden-Sydney - Incomplete score
2026-01-03 @ Oglethorpe - Incomplete score
2026-01-10 @ Rochester (NY) - Incomplete score
2026-01-16 @ Brandeis - Incomplete score
2026-01-18 @ NYU - Incomplete score
2026-01-23 vs CWRU - Incomplete score
2026-01-30 @ WashU - Incomplete score
2026-02-01 @ UChicago - Incomplete score
2026-02-06 vs WashU - Incomplete score
2026-02-08 vs UChicago W 97 - 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%
Ben Pearce - 18 36.5 22.6 3.9 7.3 1.3 0.1 2.6 16.7 15.8 66 3.7 11.7 45.7 32.6 89.1 -0.06 58.9 52.7
Jair Knight - 19 32.7 18.7 6.3 2.1 1.4 1.0 1.6 14.8 13.1 81 4.3 18.2 47.9 27.0 65.4 -1.38 54.2 50.9
Ethan Fauss - 15 31.1 15.5 8.9 1.9 1.5 2.3 1.3 13.3 15.5 118 7.9 30.5 43.2 36.3 69.7 6.86 54.3 52.5
Mario Awasum - 19 26.2 9.7 7.5 1.9 0.7 2.2 1.9 6.9 13.3 83 4.4 22.7 58.8 30.8 75.0 1.84 63.0 60.3
AJ Harris - 19 28.9 9.5 5.6 2.5 1.7 0.1 0.9 7.8 10.8 114 6.0 24.9 46.6 28.8 68.4 3.61 54.9 52.4
Harris Jackson - 19 15.8 5.1 2.6 1.1 0.3 0.3 0.6 4.2 4.6 39 2.1 17.7 43.0 37.9 65.4 1.84 53.1 50.0
Spencer Hall - 19 14.3 4.5 2.6 1.1 0.6 0.2 0.8 3.1 5.2 13 0.7 5.3 53.4 0 60.0 -0.96 56.9 53.4
Eli Fauss - 15 7.2 3.1 2.2 0.5 0.1 0.3 0.3 2.1 3.7 -7 -0.4 -14.2 53.1 44.4 61.5 -1.43 61.0 59.4
John Coppolino IV - 15 10.9 2.9 1.5 0.9 0.4 0.0 0.3 2.6 2.9 25 1.7 31.5 33.3 28.1 69.2 -0.34 49.2 44.9
Will Otto - 8 6.9 2.4 0.9 0.5 0.1 0.0 0.2 1.4 2.2 -2 -0.2 -5.0 54.5 33.3 75.0 0.87 65.4 59.1
Tyson Thomas - 8 8.2 2.1 0.2 1.5 0.6 0.0 0.2 1.0 3.2 14 1.2 40.0 87.5 100.0 50.0 1.01 87.1 93.8
AJ Mickens - 7 2.9 2.0 0.6 0.3 0.1 0.0 0.3 1.1 1.6 12 0.6 3.6 37.5 50.0 100.0 -1.42 65.8 50.0
Liam Mullins - 7 3.3 0.9 0.3 0.1 0.0 0.0 0.1 1.1 0.0 1 0.1 36.4 37.5 0.0 0 - 37.5 37.5
Harry Kitey - 7 4.5 0.6 1.1 0.1 0.1 0.0 0.3 1.9 -0.1 - - - 15.4 0.0 0 -1.36 15.4 15.4
Gus Fried - 5 2.0 0.2 0.6 0.2 0.2 0.2 0.0 0.6 0.8 - - - 0.0 0 50.0 - 12.9 0.0
Maverick Wycoki - 5 1.4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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