St. Catherine
Model Outputs
2025-2026
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 → | 937 (#352) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1026 (#289) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1072 (#131) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +6.5 (#120) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -2.8 (#406) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.563 (#427) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.373 (#393) | NetEff -3.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.749 (#298) | AdjNet +9.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.749 (#296) | AdjNet +9.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.620 (#288) | AdjO 65.5 | AdjD 60.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.512 (#368) | AdjO 60.2 | AdjD 59.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.541 (#350) | 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. More → | 0.535 (#353) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1112 (#140) | RD 87 | GP 36 |
2026 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sierra Pabo | - | 15 | 33.5 | 15.4 | 4.8 | 3.7 | 1.7 | 0.4 | 2.3 | 15.4 | 8.2 | 241 | 12.1 | 39.9 | 40.7 | 29.2 | 74.4 | 4.6 | 46.5 | 43.7 |
| Hattie Fox | - | 18 | 32.9 | 15.1 | 6.4 | 1.8 | 1.9 | 0.1 | 2.8 | 12.9 | 9.6 | 8 | 0.4 | 1.3 | 33.2 | 26.7 | 89.2 | -0.28 | 49.1 | 39.0 |
| Kat McRobbie-Taru | - | 15 | 24.7 | 14.3 | 6.7 | 0.8 | 0.7 | 1.8 | 1.3 | 12.5 | 10.5 | 185 | 9.2 | 37.4 | 44.7 | 36.8 | 73.6 | 3.26 | 50.6 | 46.5 |
| Jordyn Peed | - | 18 | 33.7 | 13.6 | 4.4 | 1.5 | 2.3 | 0.6 | 2.9 | 14.0 | 5.5 | 0 | 0.0 | 0.0 | 40.5 | 28.1 | 69.4 | 1.07 | 45.7 | 43.7 |
| Kate Grainger | - | 12 | 29.2 | 13.1 | 8.5 | 2.1 | 1.7 | 0.7 | 1.8 | 11.0 | 13.2 | 144 | 8.5 | 41.7 | 38.6 | 38.5 | 70.0 | -1.19 | 51.0 | 46.2 |
| Hope Aniceto | - | 15 | 24.5 | 9.3 | 2.1 | 1.5 | 1.7 | 0.1 | 1.1 | 10.0 | 3.6 | 170 | 8.5 | 35.0 | 30.7 | 28.8 | 81.2 | 1.87 | 44.3 | 42.0 |
| Elle Covey | - | 18 | 21.0 | 6.3 | 3.6 | 0.6 | 0.3 | 0.3 | 1.1 | 6.2 | 3.8 | 30 | 1.4 | 8.8 | 40.2 | 25.0 | 72.0 | 1.39 | 46.3 | 42.9 |
| Ajiem Agwa | - | 4 | 17.7 | 6.2 | 0.8 | 1.0 | 0.8 | 0.2 | 0.8 | 4.5 | 3.8 | 21 | 5.2 | 44.4 | 50.0 | 40.0 | 71.4 | -0.75 | 59.3 | 55.6 |
| Natalie Bush | - | 15 | 14.0 | 5.9 | 2.8 | 0.3 | 0.3 | 0.3 | 0.5 | 5.7 | 3.4 | 88 | 4.4 | 35.6 | 36.5 | 34.0 | 66.7 | 2.41 | 48.7 | 47.1 |
| Lily Peper | - | 18 | 29.4 | 5.2 | 4.4 | 1.6 | 1.6 | 0.7 | 1.4 | 6.6 | 5.5 | -8 | -0.4 | -1.5 | 29.7 | 26.8 | 85.7 | -1.7 | 37.5 | 34.3 |
| Kate Flicek | - | 18 | 17.0 | 4.3 | 3.8 | 0.8 | 0.9 | 0.0 | 1.7 | 4.2 | 3.9 | 73 | 3.5 | 24.3 | 35.5 | 29.4 | 76.0 | 4.85 | 44.8 | 38.8 |
| Chelsie Tyler | - | 14 | 8.3 | 3.6 | 0.9 | 0.3 | 0.2 | 0.1 | 0.8 | 2.7 | 1.7 | 80 | 4.2 | 34.6 | 39.5 | 35.0 | 82.4 | -0.43 | 56.1 | 48.7 |
| Abigail Rice | - | 15 | 16.9 | 3.5 | 3.1 | 0.9 | 0.7 | 0.7 | 0.7 | 3.1 | 5.1 | -34 | -0.8 | -6.7 | 44.7 | 0.0 | 64.7 | -0.71 | 48.6 | 44.7 |
| Kristen Oberle | - | 18 | 23.6 | 3.2 | 3.2 | 0.8 | 1.9 | 0.1 | 1.7 | 3.6 | 4.0 | -7 | -0.3 | -1.5 | 33.8 | 28.6 | 60.0 | 2.56 | 41.8 | 40.0 |
| Emma Diehl | - | 15 | 15.0 | 3.1 | 4.0 | 1.1 | 1.5 | 0.2 | 1.3 | 4.6 | 4.0 | 84 | 4.2 | 27.2 | 26.1 | 8.3 | 55.6 | 2.76 | 30.6 | 26.8 |
| Raya Cassidy | - | 17 | 12.2 | 3.0 | 1.3 | 0.4 | 0.1 | 0.1 | 1.2 | 3.1 | 0.6 | -17 | -0.8 | -11.4 | 26.9 | 16.0 | 79.2 | -1.12 | 40.8 | 30.8 |
| Jayda Pina | - | 13 | 6.8 | 2.2 | 1.5 | 0.1 | 0.3 | 0.4 | 0.5 | 2.5 | 1.5 | 53 | 2.9 | 42.8 | 43.8 | 0 | 33.3 | -0.24 | 43.5 | 43.8 |
| Alyvia Roberts | - | 13 | 6.1 | 2.1 | 2.0 | 0.1 | 0.2 | 0.0 | 0.5 | 2.3 | 1.5 | 20 | 1.1 | 13.4 | 36.7 | 0 | 55.6 | -1.34 | 39.8 | 36.7 |
| Julia Harmon | - | 18 | 10.5 | 1.9 | 1.8 | 0.4 | 0.2 | 0.0 | 1.1 | 2.2 | 1.1 | 1 | 0.0 | 0.5 | 35.9 | 42.9 | 30.0 | 1.26 | 39.2 | 39.7 |
| Grace Villnave | - | 14 | 6.3 | 1.6 | 2.0 | 0.4 | 0.1 | 0.2 | 0.8 | 1.3 | 2.4 | 46 | 2.4 | 33.7 | 50.0 | 0.0 | 71.4 | 1.51 | 54.6 | 50.0 |
| Emma Perez | - | 14 | 11.9 | 1.2 | 2.6 | 1.6 | 0.9 | 0.1 | 0.9 | 2.8 | 2.8 | 50 | 2.6 | 20.2 | 17.9 | 14.3 | 100.0 | -1.71 | 21.3 | 19.2 |
| Beatrice Clayton | - | 18 | 5.4 | 1.2 | 1.2 | 0.0 | 0.1 | 0.2 | 0.9 | 1.6 | 0.1 | -29 | -1.4 | -22.4 | 28.6 | 0.0 | 75.0 | -4.39 | 34.9 | 28.6 |
| Olivia Gannon | - | 12 | 4.4 | 1.2 | 0.2 | 0.2 | 0.0 | 0.0 | 0.3 | 1.5 | -0.2 | -23 | -1.8 | -31.9 | 27.8 | 25.0 | 50.0 | -3.53 | 37.1 | 36.1 |
| Marijke Kroon | - | 11 | 7.0 | 1.1 | 2.7 | 0.1 | 0.1 | 0.0 | 0.5 | 0.9 | 2.6 | 37 | 2.5 | 28.4 | 50.0 | 0 | 33.3 | -0.19 | 47.5 | 50.0 |
| Liz Kyles | - | 16 | 6.5 | 0.9 | 0.9 | 0.4 | 0.4 | 0.1 | 0.5 | 1.2 | 0.9 | -2 | -0.1 | -1.7 | 35.0 | 16.7 | 0 | 0.15 | 37.5 | 37.5 |
| Ada Skafte | - | 6 | 4.0 | 0.7 | 0.3 | 0.0 | 0.0 | 0.0 | 0.2 | 1.2 | -0.3 | -18 | -2.6 | -77.0 | 14.3 | 0.0 | 100.0 | -2.2 | 25.4 | 14.3 |
| Madalena Nguyen | - | 6 | 2.6 | 0.7 | 0.5 | 0.2 | 0.3 | 0.0 | 0.3 | 0.5 | 0.8 | -15 | -2.1 | -58.3 | 66.7 | 0 | 0 | -2.95 | 66.7 | 66.7 |
| Sadey Sprabary | - | 14 | 6.1 | 0.5 | 1.6 | 0.4 | 0.1 | 0.0 | 0.3 | 0.5 | 1.8 | 28 | 1.5 | 16.8 | 28.6 | 0 | 50.0 | -3.66 | 36.3 | 28.6 |
| Emma Phippen | - | 8 | 2.7 | 0.4 | 0.5 | 0.0 | 0.1 | 0.0 | 0.1 | 0.4 | 0.5 | 4 | 0.4 | 15.9 | 33.3 | 0 | 50.0 | 0.06 | 38.7 | 33.3 |
| Mya Nunez Williams | - | 2 | 1.9 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2 | 0.7 | 39.3 | 0 | 0 | 0 | 0.53 | 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