🐻⬇️🏀

Simon Fraser

Also known as: Simon Fraser
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 → 923 (#357) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 910 (#427) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 833 (#583) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +6.2 (#152) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -3.1 (#373) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.352 (#409) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -8.4 More → 0.298 (#264) NetEff -8.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +4.1 More → 0.617 (#351) AdjNet +4.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +4.3 More → 0.622 (#354) AdjNet +4.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 77.0 | AdjD 73.5 More → 0.579 (#346) AdjO 77.0 | AdjD 73.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.3 | AdjD 73.9 More → 0.418 (#440) AdjO 70.3 | AdjD 73.9
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 → 0.363 (#420) 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 → 0.353 (#427) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 23 More → 830 (#430) RD 101 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-01 @ St. Edward's L 54 - 61
2025-11-02 @ CSUSB L 73 - 83
2025-11-14 vs Langara (CAN) W 105 - 66
2025-11-15 vs British Colum. (CAN) L 54 - 66
2025-11-21 @ Westmont L 64 - 83
2025-11-22 @ Westminster (UT) W 79 - 70
2025-11-29 vs UCCS W 87 - 84
2025-12-04 vs Central Wash. W 89 - 73
2025-12-06 vs Northwest Nazarene L 73 - 84
2025-12-19 vs Missouri S&T L 68 - 71
2025-12-20 @ Colorado Mesa L 69 - 78
2026-01-01 @ Alas. Anchorage L 71 - 80
2026-01-03 @ Alas. Fairbanks L 71 - 73
2026-01-08 vs Mont. St. Billings W 87 - 82
2026-01-10 vs Seattle Pacific L 69 - 72
2026-01-15 @ Western Ore. L 59 - 76
2026-01-17 @ Saint Martin's L 61 - 84
2026-01-24 @ Western Wash. L 68 - 80
2026-01-29 vs Alas. Fairbanks L 57 - 69
2026-01-31 vs Alas. Anchorage L 54 - 69
2026-02-05 @ Seattle Pacific L 70 - 81
2026-02-07 @ Mont. St. Billings L 67 - 89

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%
Mikyle Malabuyoc - 22 32.6 13.5 2.2 4.8 0.7 0.0 2.7 9.6 8.8 -126 -6.0 -27.5 47.2 42.0 84.4 -2.81 61.6 57.1
Zach Stone - 22 26.1 12.1 5.6 1.6 0.6 0.9 2.0 8.6 10.2 -129 -6.1 -34.0 45.5 37.3 70.4 -0.88 57.3 52.1
Tate Christiansen - 22 25.9 10.4 3.5 1.5 0.3 0.0 1.6 6.6 7.4 -125 -6.0 -37.2 47.3 44.4 79.4 -4.53 64.8 59.6
Sartaj Bhangu - 22 23.0 9.0 4.6 0.9 0.5 0.6 1.7 6.4 7.5 -121 -5.8 -31.3 47.9 43.9 68.0 0.82 60.8 58.2
Ajani Jamison - 22 20.3 6.4 1.8 0.6 0.5 0.0 0.9 5.5 2.9 -101 -4.4 -36.7 40.0 39.5 72.2 0.1 55.1 53.3
Daniel Augusto Smith - 20 22.3 6.3 3.6 1.3 0.7 0.1 1.4 5.8 4.9 -66 -3.5 -29.7 42.2 32.3 61.5 0.23 52.2 51.3
Roko Maric - 15 14.7 6.0 3.7 0.7 0.5 1.0 1.7 4.7 5.5 6 0.4 12.2 52.9 0.0 69.6 -0.37 56.2 52.9
Matthys Van Bylandt - 22 23.8 4.8 4.3 1.3 0.8 0.2 1.2 3.5 6.6 -56 -2.4 -17.3 46.8 36.8 61.4 -1.29 55.0 51.3
Josiah Sutton - 18 12.5 3.4 0.6 1.2 0.6 0.0 1.7 3.0 1.1 -42 -2.2 -18.8 42.6 25.0 80.0 -0.36 51.2 46.3
Terique Brown - 19 9.6 1.7 0.8 0.6 0.2 0.0 0.5 1.9 0.8 7 0.3 5.6 27.0 25.0 71.4 1.91 39.9 36.5
Thomas Manganini - 5 3.5 0.8 0.0 0.2 0.2 0.0 0.0 0.6 0.6 31 7.8 154.7 33.3 33.3 33.3 0.86 46.3 50.0

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