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Susquehanna

Season: 2026 2025 2024 2023 2022 2020 2019 2018 2017 2016
Also known as: Susquehanna
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 → 1022 (#297) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1114 (#119) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1012 (#352) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +0.2 (#117) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -2.2 (#378) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.556 (#432) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -2.5 More → 0.428 (#385) AdjNet -2.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -2.9 More → 0.417 (#387) AdjNet -2.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 73.3 | AdjD 75.2 More → 0.456 (#387) AdjO 73.3 | AdjD 75.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.2 | AdjD 71.2 More → 0.544 (#312) AdjO 73.2 | AdjD 71.2
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 → 0.496 (#400) 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 → 0.507 (#400) 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 → 1072 (#259) RD 97 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ Delaware Valley W 67 - 59
2025-11-14 vs King's (PA) W 96 - 60
2025-11-15 vs York (PA) L 63 - 72
2025-11-19 vs Juniata W 68 - 66
2025-11-22 @ Elizabethtown L 58 - 82
2025-11-25 vs Penn St. Harrisburg W 71 - 55
2025-12-03 vs Wilkes W 75 - 72
2025-12-06 vs Moravian W 82 - 72
2025-12-18 @ UChicago L 69 - 87
2025-12-20 @ Johns Hopkins W 66 - 60
2026-01-03 @ Arcadia L 76 - 82
2026-01-07 @ Lycoming W 85 - 84
2026-01-10 vs Scranton L 65 - 75
2026-01-14 @ Catholic L 69 - 80
2026-01-17 @ Drew L 88 - 97
2026-01-21 vs Goucher W 77 - 64
2026-01-24 vs Elizabethtown L 68 - 72
2026-01-28 @ Juniata L 43 - 62
2026-01-31 @ Moravian L 71 - 77
2026-02-04 @ Wilkes W 90 - 86
2026-02-07 vs Lycoming W 78 - 59

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%
Mario Castro Sanchez - 14 27.0 14.1 3.3 1.5 0.8 0.1 1.7 8.4 9.7 17 1.3 5.3 41.9 34.5 83.5 2.58 62.0 50.0
Brandon Lavitt - 21 27.7 10.8 6.1 2.1 0.9 0.3 1.4 7.7 11.0 -23 -1.1 -5.4 50.6 37.5 72.7 -1.36 57.7 52.5
Jackson Van Wagener - 21 30.2 9.4 4.0 3.2 0.6 0.4 1.8 8.4 7.3 39 1.9 8.5 38.1 24.4 75.4 1.52 49.0 43.8
Billy Anderson - 20 14.8 7.8 3.5 1.2 0.5 0.2 0.9 5.5 7.0 0 0.0 0.0 57.8 32.1 48.9 2.0 60.9 61.9
Audric Washington - 21 20.7 7.6 5.4 1.3 0.4 1.3 1.3 5.5 9.2 31 1.6 10.1 50.4 20.0 74.5 0.55 57.5 51.7
KJ Carson - 21 19.0 7.4 2.1 0.9 0.5 0.0 1.0 6.1 4.0 41 2.0 14.3 39.8 48.3 71.4 -1.41 54.4 51.2
Emezie Egeonu - 20 12.6 5.7 5.1 0.2 0.2 0.1 1.1 3.6 6.5 -16 -0.8 -9.8 56.9 0.0 55.4 -1.44 58.5 56.9
Logan Rhoades - 8 12.4 5.0 1.1 0.6 0.2 0.0 0.4 4.1 2.5 -2 -0.2 -1.4 36.4 36.7 62.5 -0.8 54.8 53.0
AJ Lomax - 20 14.5 4.0 1.0 0.9 0.5 0.0 0.7 3.4 2.2 30 1.6 22.9 39.7 35.5 75.0 -0.68 52.1 47.8
Kevan Everts-Kamminga - 17 13.2 3.6 1.9 1.1 0.2 0.1 1.0 4.2 1.6 13 1.9 14.6 29.2 21.2 92.9 1.6 39.7 34.0
Seamus Rogers - 12 10.9 3.2 1.4 0.2 0.3 0.0 0.4 2.5 2.2 4 0.4 2.8 33.3 32.0 90.9 1.0 54.5 46.7
Garrett Hemingway - 2 3.4 2.5 0.0 0.0 0.0 0.0 0.0 2.5 0.0 2 1.0 9.2 40.0 33.3 0 0.16 50.0 50.0
Alex Katusha - 15 13.4 2.4 0.9 1.7 0.4 0.1 1.3 2.7 1.5 -3 -0.2 -2.3 26.8 8.3 72.2 0.31 36.8 28.0
Luke Fryer - 15 8.5 2.0 0.7 0.6 0.3 0.1 0.9 1.9 0.9 -8 -0.6 -12.8 34.5 38.9 60.0 -0.03 48.1 46.6
Joey Hile - 2 5.3 2.0 0.5 0.0 0.0 0.0 0.0 2.0 0.5 0 0.0 0.0 25.0 33.3 100.0 -0.03 45.0 37.5
Ian Robinson - 10 6.7 1.3 2.1 0.3 0.1 0.0 0.3 1.7 1.8 32 3.6 39.7 35.3 25.0 0.0 2.34 37.3 38.2
Allen Cieslak - 4 9.5 0.8 0.8 0.0 0.2 0.0 0.2 3.0 -1.5 - - - 8.3 11.1 0 - 12.5 12.5
Joe Moran - 2 4.5 0.5 1.0 1.5 0.5 0.0 0.0 0.0 3.5 3 1.5 12.2 0 0 50.0 0.13 56.8 0
Tai Britto - 2 0.8 0.0 0.5 0.0 0.0 0.0 0.5 1.0 -1.0 -2 -1.0 -70.6 0.0 0.0 0 -0.03 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