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Elmira

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Elmira
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 → 884 (#548) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 851 (#546) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 842 (#726) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → -17.6 (#436) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -17.2 (#641) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.249 (#631) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -25.4 More → 0.050 (#701) AdjNet -25.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -25.6 More → 0.048 (#701) AdjNet -25.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.7 | AdjD 90.5 More → 0.142 (#707) AdjO 70.7 | AdjD 90.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.0 | AdjD 81.3 More → 0.301 (#666) AdjO 72.0 | AdjD 81.3
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 → 0.177 (#689) 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 → 0.190 (#688) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 98 | GP 23 More → 781 (#564) RD 98 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Ursinus - Incomplete score
2025-11-08 vs Misericordia - Incomplete score
2025-11-13 @ Penn St.-Scranton - Incomplete score
2025-11-15 vs Hilbert - Incomplete score
2025-11-18 @ Fredonia - Incomplete score
2025-11-23 vs Penn St. Brandywine - Incomplete score
2025-12-01 vs SUNY ESF - Incomplete score
2025-12-05 vs Penn College - Incomplete score
2025-12-06 @ Saint Elizabeth - Incomplete score
2025-12-29 @ Binghamton - Incomplete score
2026-01-06 @ SUNY Brockport - Incomplete score
2026-01-09 vs Hartwick - Incomplete score
2026-01-10 vs Russell Sage - Incomplete score
2026-01-13 vs SUNY Geneseo - Incomplete score
2026-01-16 @ Nazareth - Incomplete score
2026-01-17 @ St. John Fisher - Incomplete score
2026-01-23 @ SUNY Poly - Incomplete score
2026-01-24 @ Utica - Incomplete score
2026-01-27 @ Keuka - Incomplete score
2026-01-30 vs Alfred - Incomplete score
2026-01-31 vs Houghton - Incomplete score
2026-02-06 @ Russell Sage - Incomplete score
2026-02-07 @ Hartwick - 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%
Kelton Brown - 21 33.3 19.4 7.7 3.8 2.3 0.5 4.0 14.2 15.4 24 1.2 3.6 52.5 38.7 53.9 0.86 57.3 56.5
Tyler Cardello - 22 26.8 15.4 5.0 1.3 1.2 0.4 1.6 12.9 8.6 26 1.3 4.7 40.1 22.4 69.9 -0.26 50.0 44.4
Alec Mercer - 22 23.4 10.2 2.1 0.6 0.9 0.1 1.0 9.4 3.5 26 1.3 5.3 33.3 31.3 83.0 0.14 49.2 44.7
Chris Woodard - 4 22.8 10.0 7.2 0.5 1.2 0.5 2.0 7.0 10.5 20 6.7 54.3 57.1 0.0 57.1 0.95 58.5 57.1
Emmanuel Karkari-Mensah - 21 31.0 9.6 4.0 2.0 1.3 0.2 1.7 8.5 6.8 7 0.4 1.3 33.1 31.5 86.0 -1.83 49.5 42.7
JJ Babcock - 21 24.5 6.5 6.7 2.6 0.6 1.0 2.0 6.0 9.4 15 0.8 3.4 39.2 26.8 54.8 -0.45 47.4 45.2
Jude Wilkins - 21 14.8 5.3 2.3 0.8 0.6 0.0 0.9 4.9 3.1 -9 -0.5 -3.6 33.0 25.7 80.6 -2.55 47.6 41.7
AJ Graham - 21 12.3 3.0 2.2 0.5 0.6 0.2 0.6 2.9 2.9 -19 -1.0 -7.7 39.3 20.0 42.9 0.48 44.8 44.3
Amin Ba-Ahmad - 13 5.6 2.7 0.4 0.2 0.2 0.0 0.2 1.8 1.4 51 4.2 109.7 41.7 25.0 52.0 5.59 50.0 45.8
Daemon Thomas - 21 17.5 2.7 3.2 1.0 0.5 0.4 1.2 2.7 3.9 39 1.9 14.3 28.1 17.5 85.0 0.47 42.6 34.2
Carter Seeberger - 12 5.2 1.4 0.4 0.5 0.2 0.0 0.2 0.8 1.5 45 3.8 45.8 60.0 55.6 0 3.47 85.0 85.0
Owen Evans - 16 5.8 1.2 0.9 0.1 0.2 0.0 0.3 1.1 1.1 -2 -0.1 -2.1 33.3 29.4 100.0 2.94 50.3 47.2
Sidney Lewinsky - 2 2.3 1.0 1.0 0.0 0.0 0.0 0.0 1.5 0.5 -11 -5.5 -256.3 33.3 0 0 - 33.3 33.3
Jhoan Adames - 2 3.6 1.0 2.5 0.0 0.0 0.0 0.0 1.5 2.0 - - - 33.3 0 0 - 33.3 33.3
Jack O'Grady - 15 5.9 0.4 0.9 0.2 0.1 0.0 0.7 0.4 0.5 -38 -2.7 -26.2 33.3 0.0 50.0 -4.49 38.7 33.3
Ezra Ontl - 5 1.9 0.4 0.0 0.0 0.2 0.0 0.0 0.6 0.0 -10 -2.0 -80.3 33.3 0.0 0 - 33.3 33.3
Connor van der Sommen - 10 2.4 0.4 0.5 0.0 0.1 0.0 0.3 0.9 -0.2 -7 -0.9 -35.1 22.2 0.0 0 - 22.2 22.2
Sam Ruggles - 8 1.7 0.0 0.4 0.0 0.0 0.0 0.4 0.4 -0.4 3 0.5 30.0 0.0 0.0 0 - 0.0 0.0
Sam Cunha - 2 1.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Damair Burton - 2 1.5 0.0 0.0 0.0 0.0 0.0 1.0 0.5 -1.5 -77 -4.3 -28.5 0.0 0.0 0 -3.67 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