🐻⬇️🏀

DeSales

Also known as: DeSales
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 → 1096 (#118) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1044 (#289) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1061 (#148) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → -6.4 (#291) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -8.4 (#499) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.717 (#341) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +0.9 More → 0.526 (#345) AdjNet +0.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +0.5 More → 0.516 (#344) AdjNet +0.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.9 | AdjD 72.4 More → 0.510 (#344) AdjO 72.9 | AdjD 72.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.3 | AdjD 72.4 More → 0.453 (#504) AdjO 70.3 | AdjD 72.4
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 → 0.416 (#468) 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 → 0.431 (#461) 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 22 More → 1059 (#273) RD 98 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ Davidson - Incomplete score
2025-11-07 vs Neumann - Incomplete score
2025-11-08 @ Scranton - Incomplete score
2025-11-15 vs Hunter - Incomplete score
2025-11-19 vs TCNJ - Incomplete score
2025-11-22 @ Muhlenberg - Incomplete score
2025-11-24 @ Moravian - Incomplete score
2025-12-03 @ Lancaster Bible - Incomplete score
2025-12-06 vs Widener - Incomplete score
2025-12-15 vs Cairn - Incomplete score
2025-12-28 vs Baruch - Incomplete score
2025-12-29 vs Gwynedd Mercy - Incomplete score
2026-01-07 vs FDU-Florham - Incomplete score
2026-01-10 @ Delaware Valley - Incomplete score
2026-01-14 vs Lebanon Valley - Incomplete score
2026-01-17 @ Stevens - Incomplete score
2026-01-21 @ Arcadia - Incomplete score
2026-01-24 vs Misericordia - Incomplete score
2026-01-28 vs King's (PA) - Incomplete score
2026-01-31 vs Delaware Valley - Incomplete score
2026-02-04 @ Lebanon Valley - Incomplete score
2026-02-07 @ FDU-Florham - 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%
Jayden Thomas - 21 37.5 24.7 6.9 5.4 1.6 0.0 4.3 16.0 18.3 39 1.9 6.8 46.4 27.6 79.9 -0.25 59.6 50.4
Luke Keppel - 21 31.7 12.0 4.2 1.9 0.9 0.1 2.0 9.3 7.7 65 3.2 12.8 39.3 35.5 80.6 -0.74 55.7 50.3
Brendan Boyle - 11 20.4 8.8 2.9 1.5 0.6 0.0 1.6 7.1 5.1 -13 -1.3 -16.1 33.3 35.4 84.6 -1.36 54.2 48.1
Emanuel Domingo - 21 18.4 6.2 3.4 0.4 0.6 0.9 0.9 4.6 6.0 67 3.4 20.9 55.7 21.7 60.0 1.66 59.4 58.2
Riley Buzby - 21 15.0 5.3 2.7 1.1 0.6 0.1 1.0 4.3 4.6 6 0.3 2.3 40.0 36.9 100.0 0.27 57.5 53.3
Ryan Glassmacher - 21 17.6 5.3 3.6 0.9 0.6 0.4 1.2 3.9 5.8 5 0.2 2.3 49.4 41.0 59.3 -0.72 60.3 59.3
Robbie Ruisch - 13 15.9 4.4 2.8 0.6 0.2 0.3 0.6 3.9 3.7 4 0.3 2.9 33.3 21.9 76.2 -0.82 47.3 40.2
Ty Mishock - 6 19.8 4.2 3.5 1.5 1.0 0.0 2.0 4.0 4.2 -7 -1.4 -13.4 41.7 0.0 83.3 -1.06 46.9 41.7
Will Meeker - 21 12.4 3.5 1.8 0.5 0.1 0.2 0.7 2.9 2.5 2 0.1 0.9 42.6 27.3 92.3 -0.41 54.7 50.0
Chris Edwards - 21 16.4 3.4 3.4 0.4 0.3 0.7 0.5 3.0 4.7 8 0.4 3.4 42.2 29.4 61.9 0.34 49.2 46.1
Theo Gladue - 18 18.3 3.2 2.4 0.9 0.6 0.0 0.9 2.9 3.2 56 3.3 27.1 39.6 47.8 66.7 4.04 51.2 50.0
LJ Vaughan - 2 3.1 2.0 0.0 0.0 0.0 0.0 0.0 2.0 0.0 - - - 50.0 0.0 0 - 50.0 50.0
Sam Kahn - 18 10.0 1.5 1.4 0.2 0.4 0.0 0.4 1.3 1.7 -36 -2.1 -78.0 54.2 0 20.0 -4.98 51.5 54.2
Chukwudi Mamah - 6 3.7 0.3 1.2 0.0 0.3 0.0 0.3 1.3 0.2 0 0.0 0.0 12.5 0 0.0 - 11.3 12.5
Aidan Leo - 3 1.7 0.0 0.3 0.0 0.3 0.0 0.0 0.3 0.3 2 1.0 150.0 0.0 0 0 - 0.0 0.0
Zach Rodgers - 1 0.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0 0.0 0.0 0 0 0 - 0 0
Dom Bojko - 1 3.1 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - 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