🐻⬇️🏀

Saint Martin's

Also known as: Saint Martin's
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 → 1179 (#8) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1273 (#12) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1086 (#85) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +22.0 (#7) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +12.5 (#128) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.828 (#147) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +27.0 More → 0.955 (#156) NetEff +27.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +14.9 More → 0.847 (#199) AdjNet +14.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +15.0 More → 0.853 (#195) AdjNet +15.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 83.0 | AdjD 71.4 More → 0.743 (#191) AdjO 83.0 | AdjD 71.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 76.0 | AdjD 69.3 More → 0.647 (#108) AdjO 76.0 | AdjD 69.3
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 → 0.712 (#130) 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 → 0.723 (#115) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 143 | GP 5 More → 1095 (#123) RD 143 | GP 5

2026 Schedule & Results

Date Vs/At Opponent Result Score
2026-01-22 @ Central Wash. W 78 - 66
2026-01-24 @ Northwest Nazarene W 79 - 63
2026-01-29 vs Mont. St. Billings L 71 - 77
2026-01-31 vs Seattle Pacific L 72 - 76
2026-02-07 @ Western Ore. W 74 - 55

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%
Diego Trejo-Delgado - 3 36.5 24.7 8.0 2.7 1.0 1.3 1.3 16.0 20.3 173 8.7 35.0 52.1 50.0 84.0 0.48 62.7 55.2
Miles Gurske - 1 35.1 21.0 8.0 5.0 1.0 0.0 2.0 19.0 14.0 63 2.5 9.4 42.1 25.0 100.0 1.81 51.7 47.4
Patrick Kilfoil - 3 31.8 20.0 3.3 3.3 1.0 0.0 0.7 11.0 16.0 154 7.0 33.5 60.6 55.0 90.0 0.57 80.2 77.3
Julian Mora - 1 36.1 19.0 5.0 1.0 3.0 0.0 4.0 12.0 12.0 41 2.0 7.7 41.7 40.0 83.3 1.29 64.9 58.3
Grant Coleman - 1 31.5 18.0 2.0 2.0 0.0 0.0 1.0 9.0 12.0 70 2.9 12.4 66.7 66.7 0.0 0.84 91.1 100.0
Mason Landdeck - 1 35.6 17.0 6.0 5.0 1.0 0.0 1.0 13.0 15.0 83 3.6 10.2 38.5 36.4 60.0 -2.84 55.9 53.8
Jakob Milling - 1 34.5 14.0 11.0 1.0 2.0 0.0 2.0 7.0 19.0 70 2.8 11.4 57.1 50.0 83.3 -0.36 72.6 64.3
Brandon Tchouya - 1 32.0 12.0 8.0 4.0 2.0 1.0 5.0 8.0 14.0 71 2.8 12.0 37.5 0.0 75.0 3.03 52.1 37.5
Trace Evans - 1 29.5 12.0 3.0 4.0 0.0 0.0 5.0 10.0 4.0 48 2.3 9.9 60.0 0.0 0 -0.59 60.0 60.0
Brant Heppner - 1 18.9 12.0 3.0 1.0 0.0 0.0 0.0 8.0 8.0 6 0.3 2.6 50.0 50.0 0 0.29 75.0 75.0
Theo McMillan - 1 37.6 11.0 6.0 9.0 1.0 0.0 4.0 8.0 15.0 96 4.8 15.5 50.0 0 50.0 -0.44 51.7 50.0
Anthony Simo - 3 33.2 10.0 8.0 2.3 1.0 0.7 1.0 5.3 15.7 211 9.6 49.4 75.0 100.0 100.0 4.04 82.4 78.1
Kaden Hansen - 1 32.3 10.0 3.0 5.0 0.0 0.0 4.0 8.0 6.0 190 10.0 51.4 37.5 33.3 100.0 1.87 53.6 43.8
Dae'Kwon Watson - 2 37.9 9.5 3.5 2.5 1.5 0.5 3.0 15.5 -1.0 200 11.1 73.1 25.8 16.7 0.0 1.26 30.2 30.6
Jonas La Tour - 1 32.3 7.0 3.0 2.0 0.0 1.0 2.0 10.0 1.0 76 2.9 12.4 20.0 12.5 100.0 2.23 32.2 25.0
Croix Cox - 1 13.5 6.0 1.0 0.0 0.0 0.0 1.0 4.0 2.0 56 2.2 10.1 75.0 0 0 2.07 75.0 75.0
Mate Mamrikishvili - 1 7.5 4.0 1.0 0.0 0.0 0.0 0.0 2.0 3.0 0 0.0 0.0 50.0 0.0 100.0 -0.27 69.4 50.0
Connor Drinkwine - 1 30.4 4.0 3.0 3.0 1.0 0.0 0.0 5.0 6.0 5 0.2 1.1 40.0 0.0 0 -0.41 40.0 40.0
Omer Ege Peksari - 3 19.6 2.7 3.0 3.0 0.3 0.0 0.7 2.7 5.7 94 4.3 35.4 37.5 40.0 0 -2.49 50.0 50.0
Ronyo Obou - 2 3.2 0.0 0.5 0.5 0.0 0.0 0.0 1.5 -0.5 167 8.8 162.6 0.0 0.0 0 -0.73 0.0 0.0
Ty Cox - 1 8.2 0.0 2.0 0.0 0.0 0.0 0.0 1.0 1.0 -21 -0.9 -5.7 0.0 0 0 -1.88 0.0 0.0
Pedro Ellery - 1 7.1 0.0 2.0 0.0 0.0 0.0 1.0 1.0 0.0 42 1.7 12.9 0.0 0.0 0 1.3 0.0 0.0
Rhyse Owens - 1 1.7 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -36 -2.2 -32.1 0 0 0 -0.55 0 0
Aengus Sutherland - 1 15.9 0.0 2.0 0.0 1.0 0.0 0.0 1.0 2.0 27 1.6 16.6 0.0 0.0 0 1.53 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