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Gettysburg

Season: 2026 2025 2024 2023 2022 2020 2019 2017 2016 2015
Also known as: Gettysburg
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 → 1101 (#102) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1075 (#191) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1182 (#23) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +1.4 (#106) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +2.0 (#320) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.706 (#347) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +7.3 More → 0.698 (#276) AdjNet +7.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +6.9 More → 0.692 (#279) AdjNet +6.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 73.4 | AdjD 69.4 More → 0.590 (#296) AdjO 73.4 | AdjD 69.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.6 | AdjD 63.9 More → 0.649 (#149) AdjO 70.6 | AdjD 63.9
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 → 0.654 (#255) 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 → 0.671 (#233) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 99 | GP 21 More → 1211 (#59) RD 99 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Wilson W 81 - 79
2025-11-08 vs Randolph-Macon L 59 - 62
2025-11-11 vs Mount Aloysius W 89 - 64
2025-11-15 vs Stockton W 61 - 58
2025-11-19 @ Montclair St. L 65 - 84
2025-11-22 @ Notre Dame (MD) L 79 - 84
2025-11-23 @ Wesleyan (CT) L 56 - 59
2025-12-03 vs Mary Washington L 52 - 65
2025-12-06 @ Salisbury W 68 - 63
2025-12-29 @ Wilkes L 68 - 74
2025-12-30 @ Husson W 78 - 77
2026-01-03 @ York (PA) L 61 - 64
2026-01-10 @ Johns Hopkins L 56 - 58
2026-01-14 vs Franklin & Marshall W 72 - 58
2026-01-17 vs Ursinus W 80 - 74
2026-01-21 vs Dickinson W 72 - 45
2026-01-24 @ Swarthmore W 67 - 61
2026-01-28 @ McDaniel W 77 - 64
2026-01-31 @ Washington Col. W 79 - 64
2026-02-04 vs Johns Hopkins W 61 - 59
2026-02-07 vs Muhlenberg W 64 - 56

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 Troyer - 1 26.0 14.0 6.0 0.0 3.0 0.0 1.0 6.0 16.0 45 3.0 14.9 33.3 50.0 64.3 -0.95 57.6 41.7
Ray Zamloot - 18 31.2 13.1 4.4 1.5 1.3 0.3 1.9 10.3 8.3 62 3.4 11.8 43.0 40.0 81.6 2.13 58.0 54.8
Tate Landis - 1 36.0 12.0 0.0 3.0 1.0 0.0 0.0 9.0 7.0 77 5.1 18.5 33.3 25.0 100.0 2.48 53.6 38.9
Caleb Gillus - 18 28.9 10.9 2.6 2.9 0.8 0.2 2.3 9.5 5.6 18 1.0 4.0 36.8 29.7 70.3 -1.05 48.4 42.4
Aidan Mess - 19 19.9 9.2 6.4 1.3 0.6 1.9 1.8 5.5 12.1 22 1.2 7.7 45.2 20.0 79.8 0.4 59.3 46.2
Nate Williams - 13 24.8 9.1 3.9 0.8 1.8 0.2 1.5 8.0 6.4 17 1.7 17.5 38.5 32.8 62.1 1.6 50.5 48.1
Cooper Haberern - 1 32.0 9.0 5.0 0.0 2.0 0.0 2.0 9.0 5.0 112 8.0 24.5 33.3 37.5 0 3.99 50.0 50.0
Reece Craft - 20 22.4 7.8 4.2 0.9 0.6 0.6 1.4 5.5 7.1 43 2.4 11.6 60.4 14.3 67.9 -0.03 62.8 61.3
Kosta Radulovic - 20 16.6 6.8 3.9 0.7 0.4 0.8 1.7 5.0 5.8 40 2.2 14.0 59.4 9.1 48.4 -1.3 59.3 59.9
Lorenzo Carrara - 20 16.9 5.6 1.6 0.6 0.2 0.0 0.8 4.6 2.8 20 1.1 7.2 42.4 37.0 70.0 0.98 55.6 53.3
Colin Treude - 1 23.0 5.0 3.0 1.0 1.0 0.0 0.0 6.0 4.0 49 3.5 49.1 33.3 25.0 0 -0.06 41.7 41.7
Malachi Briscoe - 20 18.9 4.2 3.0 1.1 0.3 0.4 1.1 3.5 4.3 4 0.2 1.4 37.1 37.9 68.8 1.69 50.5 45.0
Aleks Smith - 1 12.0 4.0 2.0 1.0 1.0 0.0 0.0 6.0 2.0 21 1.5 8.8 33.3 0 0 0.93 33.3 33.3
Josh Herr - 16 13.3 3.9 2.8 0.5 0.4 0.0 0.6 2.2 4.9 -23 -1.4 -7.3 51.4 50.0 72.4 -1.83 64.9 58.6
Alex Grospe - 18 9.9 2.2 0.6 1.7 0.3 0.0 0.8 1.6 2.4 11 0.6 6.1 51.7 37.5 75.0 1.32 63.4 62.1
Jonas De Krassel - 3 2.4 1.3 0.3 0.3 0.0 0.0 0.0 0.7 1.3 5 1.7 45.1 100.0 0 0 0.49 100.0 100.0
Carson Kasmer - 10 3.5 1.1 0.5 0.0 0.0 0.0 0.2 0.9 0.5 -6 -0.6 -9.2 55.6 33.3 0 -0.11 61.1 61.1
Vule Sukovic - 8 6.5 1.0 0.8 0.1 0.2 0.0 0.4 1.0 0.8 18 2.6 63.6 25.0 16.7 75.0 1.69 41.0 31.2
Dom Neverbickas - 11 10.8 0.8 2.3 0.8 0.3 0.4 1.3 1.8 1.5 10 1.1 15.8 20.0 0.0 50.0 2.43 21.6 20.0
Nick Schroeder - 1 17.0 0.0 2.0 2.0 1.0 0.0 1.0 1.0 3.0 54 3.6 18.0 0.0 0 0 2.69 0.0 0.0
David Weaver - 1 6.0 0.0 1.0 0.0 0.0 2.0 0.0 1.0 2.0 24 2.2 44.6 0.0 0.0 0 0.55 0.0 0.0
Jay Colon - 2 1.6 0.0 1.0 0.5 0.0 0.0 0.0 0.5 1.0 -2 -1.0 -35.8 0.0 0 0 0.13 0.0 0.0
Filip Puzic - 1 0.0 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