Saint Mary's (CA)
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 → | 1049 (#134) | - |
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 992 (#284) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1101 (#91) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1056 (#179) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1024 (#221) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +6.6 (#110) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +12.7 (#173) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.994 (#105) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.218 (#480) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.997 (#69) | NetEff +40.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.993 (#63) | AdjNet +42.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.606 (#354) | AdjNet +3.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.993 (#66) | AdjNet +41.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.628 (#347) | AdjNet +4.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.898 (#76) | AdjO 71.6 | AdjD 47.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.576 (#336) | AdjO 62.3 | AdjD 59.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.609 (#156) | AdjO 59.2 | AdjD 54.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.675 (#205) | 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 → | 0.674 (#203) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1088 (#151) | RD 101 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-03 | @ | UTRGV | L | 46 - 64 |
| 2025-11-14 | @ | South Dakota Mines | W | 54 - 50 |
| 2025-11-16 | @ | Black Hills St. | W | 61 - 58 |
| 2025-11-19 | @ | Lamar University | L | 30 - 61 |
| 2025-11-22 | vs | Western Colo. | W | 66 - 65 |
| 2025-11-28 | vs | Washburn | W | 53 - 49 |
| 2025-11-29 | vs | Okla. Baptist | W | 50 - 44 |
| 2025-12-04 | vs | Western N.M. | W | 79 - 67 |
| 2025-12-06 | vs | Sul Ross St. | W | 64 - 50 |
| 2025-12-11 | @ | UIW | L | 48 - 65 |
| 2025-12-16 | @ | Texas Woman's | L | 53 - 59 |
| 2026-01-02 | vs | Midwestern St. | W | 72 - 54 |
| 2026-01-10 | @ | West Tex. A&M | L | 62 - 80 |
| 2026-01-15 | vs | Texas Woman's | L | 57 - 69 |
| 2026-01-17 | vs | UT Tyler | L | 51 - 56 |
| 2026-01-22 | @ | Okla. Christian | W | 66 - 43 |
| 2026-01-31 | vs | Texas-Dallas | W | 64 - 60 |
| 2026-02-05 | @ | Tex. A&M Int'l | L | 55 - 57 |
| 2026-02-07 | @ | Tex. A&M-Kingsville | W | 59 - 39 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Christin Callens | - | 19 | 25.6 | 10.6 | 4.8 | 1.1 | 0.5 | 0.2 | 2.7 | 9.9 | 4.6 | 27 | 1.4 | 6.7 | 41.5 | 29.4 | 83.7 | 3.12 | 48.2 | 42.8 |
| Allie Garcia | - | 19 | 25.2 | 10.4 | 2.2 | 0.9 | 0.4 | 0.4 | 1.9 | 8.5 | 4.0 | 66 | 3.5 | 17.3 | 48.4 | 33.3 | 72.2 | 1.07 | 58.6 | 57.5 |
| Aina Maynou | - | 19 | 25.5 | 7.2 | 2.8 | 1.6 | 0.8 | 0.1 | 2.2 | 6.2 | 4.1 | 30 | 1.6 | 7.7 | 41.0 | 33.3 | 88.2 | 1.38 | 54.6 | 51.7 |
| Quezia Bertoni | - | 14 | 21.8 | 6.9 | 2.9 | 2.4 | 0.4 | 0.1 | 1.0 | 4.2 | 7.4 | 18 | 1.0 | 9.8 | 45.8 | 38.5 | 89.2 | 2.08 | 64.4 | 54.2 |
| Imani Ivery | - | 15 | 15.8 | 6.2 | 2.5 | 1.2 | 0.9 | 0.4 | 1.5 | 5.8 | 3.8 | 74 | 4.6 | 29.1 | 42.5 | 38.7 | 36.8 | 3.85 | 48.8 | 49.4 |
| Raynne Malik | - | 19 | 26.0 | 5.4 | 7.8 | 0.9 | 0.8 | 2.5 | 2.1 | 4.9 | 10.5 | -4 | -0.2 | -1.0 | 38.7 | 13.8 | 60.0 | -3.0 | 45.7 | 40.9 |
| Lena Newby | - | 19 | 13.1 | 3.3 | 3.9 | 0.3 | 0.4 | 0.8 | 1.2 | 3.4 | 4.2 | 28 | 1.3 | 16.4 | 40.6 | 28.6 | 40.0 | -2.66 | 42.6 | 42.2 |
| Brianna Vargas | - | 19 | 10.6 | 3.2 | 1.1 | 0.4 | 0.2 | 0.0 | 0.7 | 2.5 | 1.6 | -24 | -1.3 | -13.8 | 44.7 | 43.2 | 75.0 | -2.95 | 62.6 | 61.7 |
| Tiara Louis | - | 19 | 15.7 | 2.6 | 1.4 | 0.5 | 0.4 | 0.0 | 1.4 | 2.6 | 1.0 | -61 | -2.9 | -26.4 | 34.7 | 32.5 | 50.0 | -1.44 | 48.4 | 48.0 |
| Andrea Montesinos | - | 19 | 16.5 | 1.9 | 2.2 | 1.7 | 0.3 | 0.2 | 1.4 | 2.6 | 2.3 | -4 | -0.2 | -1.5 | 20.0 | 22.6 | 81.8 | 0.69 | 32.8 | 27.0 |
| Peyton Stellato | - | 2 | 12.1 | 1.5 | 1.0 | 0.5 | 0.0 | 0.0 | 1.0 | 2.5 | -0.5 | -11 | -3.7 | -23.4 | 20.0 | 25.0 | 0 | -1.77 | 30.0 | 30.0 |
| Emily Buitron | - | 9 | 6.7 | 1.2 | 0.7 | 0.6 | 0.4 | 0.0 | 0.7 | 1.3 | 0.9 | -7 | -1.0 | -33.6 | 25.0 | 22.2 | 75.0 | -0.39 | 40.0 | 33.3 |
| Cornelia Petersson | - | 8 | 8.8 | 1.2 | 1.0 | 1.1 | 0.1 | 0.0 | 0.8 | 1.0 | 1.8 | - | - | - | 37.5 | 33.3 | 50.0 | - | 47.0 | 43.8 |
| Sian Phipps | - | 15 | 4.5 | 1.1 | 1.2 | 0.2 | 0.0 | 0.1 | 0.3 | 1.6 | 0.7 | -13 | -0.9 | -47.9 | 20.8 | 0.0 | 75.0 | -1.08 | 29.1 | 20.8 |
| Brooke Kleinig | - | 12 | 4.5 | 1.0 | 1.2 | 0.3 | 0.2 | 0.0 | 0.8 | 0.6 | 1.3 | -28 | -2.5 | -76.5 | 57.1 | 33.3 | 37.5 | 1.1 | 57.0 | 64.3 |
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