🐻⬇️🏀

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 → 929 (#432) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1026 (#235) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 849 (#653) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +8.6 (#91) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +2.3 (#324) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.487 (#368) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -5.6 More → 0.313 (#332) NetEff -5.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +9.9 More → 0.758 (#290) AdjNet +9.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +10.3 More → 0.771 (#293) AdjNet +10.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.9 | AdjD 66.2 More → 0.647 (#291) AdjO 72.9 | AdjD 66.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.1 | AdjD 64.3 More → 0.518 (#314) AdjO 65.1 | AdjD 64.3
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 → 0.491 (#370) 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 → 0.474 (#376) 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 24 More → 872 (#412) RD 101 | GP 24

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-01 @ Colorado Mesa L 54 - 61
2025-11-02 vs Minot St. W 68 - 62
2025-11-14 @ Westmont L 54 - 92
2025-11-15 @ Vanguard L 41 - 76
2025-11-21 @ Adams St. W 49 - 42
2025-11-22 vs Jamestown W 55 - 45
2025-11-28 @ Colorado Mesa L 52 - 81
2025-11-29 @ Fort Lewis W 74 - 67
2025-12-03 @ Seattle Pacific W 57 - 54
2025-12-05 @ Mont. St. Billings W 76 - 61
2025-12-19 vs N.M. Highlands W 69 - 68
2025-12-20 @ Eastern N.M. L 71 - 74
2026-01-01 vs Saint Martin's L 53 - 71
2026-01-03 vs Western Ore. L 49 - 68
2026-01-10 @ Northwest Nazarene L 64 - 81
2026-01-15 vs Alas. Anchorage L 72 - 79
2026-01-17 vs Alas. Fairbanks W 109 - 46
2026-01-24 @ Western Wash. L 40 - 66
2026-01-29 @ Western Ore. L 63 - 67
2026-01-31 @ Saint Martin's L 55 - 66
2026-02-05 vs Northwest Nazarene L 71 - 77
2026-02-07 vs Central Wash. L 76 - 84

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%
Rachel Loukes - 22 33.3 15.6 6.4 3.4 1.7 0.6 3.7 14.0 10.0 -78 -3.2 -12.4 36.7 30.3 74.8 -1.42 47.3 40.4
Bree Neufeld - 22 32.0 12.1 6.6 1.5 1.8 0.1 2.0 10.9 9.2 4 0.2 0.8 40.2 34.6 75.7 0.87 52.3 50.0
Sophie Bergeron - 21 30.1 10.8 4.8 1.8 3.0 0.1 2.0 11.1 7.2 24 1.1 4.5 36.3 32.9 58.8 2.47 44.1 41.9
Haley de Walle - 22 25.0 9.0 2.8 1.7 0.8 0.0 2.9 8.6 2.9 -79 -3.4 -16.7 33.9 31.2 68.2 -1.74 47.5 44.4
Rilyn Quirke - 22 24.4 5.3 4.9 1.7 1.2 1.4 1.8 7.1 5.6 -28 -1.2 -5.5 30.6 0 70.0 -0.63 34.4 30.6
Zoe Sharpe - 22 23.1 4.8 2.5 1.5 0.8 0.0 3.0 4.1 2.6 -55 -2.4 -10.9 32.2 22.7 62.7 2.09 43.9 35.0
Tonya Karpow - 13 10.0 2.0 1.8 0.2 0.3 0.2 0.2 2.6 1.7 28 2.0 26.4 23.5 11.1 81.8 0.44 33.5 25.0
Gwendilyn Aasland - 3 10.5 2.0 4.3 0.3 0.3 0.0 2.7 4.0 0.3 - - - 25.0 0 0.0 - 23.3 25.0
Anja Tjernagel - 4 6.1 2.0 1.0 0.0 0.5 0.0 0.8 2.5 0.2 3 0.6 6.7 30.0 40.0 0 1.26 40.0 40.0
Sahnya Gill - 12 11.4 1.9 2.1 0.2 0.2 0.9 0.7 2.1 2.5 -40 -3.3 -30.8 40.0 0 50.0 0.48 41.6 40.0
Oceanne Paradis - 22 13.7 1.5 1.5 0.5 0.2 0.0 0.8 1.2 1.6 -18 -0.8 -7.0 48.1 50.0 44.4 -0.78 53.3 53.7
Alyssa Buwalda - 17 9.6 1.1 1.5 0.6 0.2 0.1 0.8 1.1 1.7 26 1.4 9.4 33.3 0 53.8 -0.19 40.1 33.3

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