🐻⬇️🏀

Mont. St. Billings

Also known as: Mont. St. Billings
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 → 1056 (#95) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1160 (#64) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1172 (#26) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +13.4 (#60) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +9.7 (#161) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.688 (#226) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +61.0 More → 0.999 (#23) NetEff +61.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +15.0 More → 0.850 (#195) AdjNet +15.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +15.1 More → 0.853 (#197) AdjNet +15.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 82.4 | AdjD 71.3 More → 0.734 (#202) AdjO 82.4 | AdjD 71.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 84.1 | AdjD 76.2 More → 0.672 (#85) AdjO 84.1 | AdjD 76.2
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 → 0.767 (#90) 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 → 0.763 (#84) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 94 | GP 26 More → 1232 (#36) RD 94 | GP 26

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs N.M. Highlands W 91 - 67
2025-11-08 vs Central Mo. W 80 - 75
2025-11-09 vs Neb.-Kearney W 100 - 80
2025-11-15 @ Westmont W 80 - 72
2025-11-15 @ Hawaii Hilo W 81 - 64
2025-11-21 @ Minot St. L 90 - 95
2025-11-24 vs Rocky Mountain W 89 - 77
2025-11-28 vs Western Colo. W 90 - 79
2025-11-29 @ Colorado Mesa L 84 - 87
2025-12-06 vs Seattle Pacific W 77 - 70
2025-12-13 vs Lethbridge (CAN) W 117 - 72
2025-12-15 @ Rocky Mountain W 99 - 96
2025-12-20 @ Colo. Sch. of Mines W 81 - 66
2025-12-21 @ Dominican (NY) W 89 - 68
2026-01-01 vs Western Ore. W 83 - 75
2026-01-03 vs Saint Martin's L 68 - 87
2026-01-08 @ Simon Fraser L 82 - 87
2026-01-10 @ Western Wash. W 94 - 92
2026-01-15 vs Northwest Nazarene W 87 - 82
2026-01-17 vs Central Wash. L 72 - 85
2026-01-22 @ Alas. Fairbanks W 90 - 72
2026-01-24 @ Alas. Anchorage L 70 - 84
2026-01-29 @ Saint Martin's W 77 - 71
2026-01-31 @ Western Ore. W 84 - 74
2026-02-05 vs Western Wash. W 91 - 87
2026-02-07 vs Simon Fraser W 89 - 67

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%
Mason Landdeck - 24 31.7 19.3 3.5 5.0 1.5 0.0 2.4 14.8 12.1 83 3.6 10.2 37.5 28.6 82.3 -2.84 53.6 44.9
Miles Gurske - 26 28.2 14.9 5.0 3.1 1.9 0.0 1.5 11.5 12.0 63 2.5 9.4 44.6 33.3 80.2 1.81 56.5 51.3
Brandon Tchouya - 26 25.1 12.7 5.5 2.3 1.5 0.4 1.7 8.0 12.7 71 2.8 12.0 55.6 32.6 66.2 3.03 62.5 58.9
Croix Cox - 26 21.7 10.2 5.8 0.6 0.9 0.7 0.9 6.9 10.4 56 2.2 10.1 66.1 0.0 53.8 2.07 65.6 66.1
Jonas La Tour - 26 23.0 10.2 3.1 1.2 1.1 0.2 1.0 7.5 7.4 76 2.9 12.4 49.5 40.8 73.3 2.23 63.9 62.6
Jakob Milling - 26 24.2 8.1 5.2 1.8 1.0 1.1 1.2 7.6 8.5 70 2.8 11.4 41.1 29.7 57.8 -0.36 48.4 46.7
Cam Malray - 6 7.9 5.2 1.2 0.3 0.2 0.0 0.5 2.3 4.0 -8 -1.3 -13.9 78.6 50.0 57.1 -1.08 76.9 82.1
Pedro Ellery - 26 14.4 3.7 0.9 0.7 0.3 0.0 0.5 2.9 2.1 42 1.7 12.9 38.2 40.7 72.2 1.3 56.6 53.9
Gabe Hatler - 22 8.8 3.1 1.2 0.4 0.4 0.0 0.6 2.6 1.8 -39 -1.9 -29.0 48.3 23.1 90.0 -2.71 54.5 50.9
Ty Cox - 25 15.9 3.0 3.4 0.9 0.6 0.1 0.8 3.0 4.2 -21 -0.9 -5.7 37.8 16.0 60.9 -1.88 44.0 40.5
Jesiah Stutts - 5 3.6 1.6 0.2 0.0 0.0 0.0 0.0 1.4 0.4 -19 -3.8 -113.7 42.9 33.3 0 -0.73 57.1 57.1
Rhyse Owens - 17 6.5 1.1 0.8 0.9 0.4 0.0 1.3 1.5 0.4 -36 -2.2 -32.1 28.0 22.2 33.3 -0.55 32.6 32.0
Cooper Tyson - 20 6.0 1.0 0.7 0.2 0.1 0.0 0.3 0.8 0.9 -9 -0.5 -9.4 52.9 50.0 50.0 -3.6 55.9 55.9

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