Redlands
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 → | 1135 (#36) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1169 (#73) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1096 (#97) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +20.0 (#30) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +15.7 (#155) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.794 (#315) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.989 (#87) | NetEff +33.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.880 (#226) | AdjNet +17.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.883 (#226) | AdjNet +17.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.715 (#225) | AdjO 69.1 | AdjD 59.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.770 (#76) | AdjO 70.7 | AdjD 57.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.853 (#98) | 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 → | 0.847 (#100) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1168 (#91) | RD 102 | GP 20 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | vs | Pacific Lutheran | W | 83 - 47 |
| 2025-11-15 | vs | Mary Hardin-Baylor | W | 77 - 55 |
| 2025-11-24 | vs | George Fox | L | 61 - 62 |
| 2025-12-03 | vs | Chapman | W | 75 - 57 |
| 2025-12-17 | vs | Mt. St. Mary (NY) | W | 90 - 34 |
| 2025-12-29 | vs | Wesleyan (CT) | W | 64 - 31 |
| 2025-12-30 | @ | Bridgewater St. | W | 71 - 65 |
| 2026-01-10 | vs | Cal Lutheran | L | 78 - 87 |
| 2026-01-14 | @ | La Verne | W | 75 - 56 |
| 2026-01-17 | @ | Whittier | W | 69 - 46 |
| 2026-01-19 | vs | Pomona-Pitzer | L | 77 - 83 |
| 2026-01-21 | @ | Claremont-M-S | L | 64 - 71 |
| 2026-01-24 | vs | Occidental | W | 73 - 61 |
| 2026-01-28 | @ | Chapman | W | 77 - 63 |
| 2026-01-31 | @ | Cal Lutheran | L | 66 - 68 |
| 2026-02-04 | vs | La Verne | W | 57 - 48 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aj Wick | - | 8 | 33.6 | 15.2 | 11.6 | 3.1 | 1.9 | 0.8 | 3.0 | 13.2 | 16.4 | 31 | 2.4 | 20.6 | 46.2 | 0 | 75.0 | 4.0 | 50.8 | 46.2 |
| Teagan McIlroy | - | 15 | 29.1 | 10.9 | 5.9 | 3.6 | 2.3 | 1.0 | 1.3 | 7.9 | 14.5 | 81 | 5.1 | 44.8 | 45.4 | 28.3 | 87.5 | 2.47 | 58.2 | 50.8 |
| Leila Hosn | - | 15 | 27.3 | 10.2 | 6.0 | 3.9 | 1.4 | 0.4 | 2.1 | 8.6 | 11.2 | 10 | 0.7 | 5.7 | 39.5 | 28.6 | 71.7 | 0.09 | 49.2 | 42.6 |
| Colbi Zorich | - | 15 | 28.8 | 8.5 | 2.9 | 0.9 | 0.8 | 0.5 | 1.0 | 8.4 | 4.3 | 87 | 5.8 | 41.3 | 42.9 | 0 | 76.9 | 0.65 | 46.6 | 42.9 |
| Olivia McIntyre | - | 15 | 16.7 | 8.4 | 3.7 | 0.6 | 0.4 | 0.1 | 1.6 | 6.4 | 5.1 | 22 | 1.5 | 19.0 | 45.8 | 0.0 | 79.2 | -1.31 | 53.8 | 45.8 |
| Andrea Perkins | - | 15 | 22.9 | 6.2 | 0.9 | 1.1 | 0.8 | 0.2 | 0.8 | 6.6 | 1.7 | 77 | 5.1 | 75.9 | 31.3 | 33.3 | 87.5 | 1.28 | 45.4 | 43.4 |
| Aliyah Anderson | - | 11 | 13.0 | 5.8 | 2.0 | 0.4 | 0.2 | 0.1 | 0.4 | 3.9 | 4.2 | 42 | 3.0 | 41.4 | 44.2 | 50.0 | 81.0 | -0.01 | 61.3 | 54.7 |
| Alex Facelo | - | 13 | 9.3 | 3.8 | 0.7 | 0.7 | 0.1 | 0.0 | 0.4 | 4.5 | 0.4 | 23 | 1.8 | 60.0 | 28.8 | 28.0 | 66.7 | 2.6 | 41.4 | 40.7 |
| Kayden Sanders | - | 8 | 6.5 | 2.4 | 1.8 | 0.1 | 0.0 | 0.0 | 0.1 | 1.4 | 2.8 | 35 | 3.5 | 672.0 | 63.6 | 71.4 | 0 | 0.18 | 86.4 | 86.4 |
| Libby Oxciano | - | 7 | 3.6 | 2.4 | 0.6 | 0.3 | 0.0 | 0.0 | 0.3 | 1.9 | 1.1 | - | - | - | 53.8 | 75.0 | 0 | - | 65.4 | 65.4 |
| Carly Hicks | - | 15 | 14.4 | 2.3 | 1.8 | 0.7 | 0.6 | 0.1 | 1.3 | 2.6 | 1.6 | 50 | 3.3 | 64.7 | 25.6 | 29.6 | 66.7 | -1.6 | 39.6 | 35.9 |
| Monica Villanueva | - | 4 | 5.6 | 2.2 | 0.2 | 0.5 | 0.0 | 0.0 | 0.2 | 0.8 | 2.0 | - | - | - | 33.3 | 0.0 | 100.0 | - | 74.0 | 33.3 |
| Sophie Christopher | - | 4 | 3.4 | 2.0 | 0.0 | 0.5 | 0.5 | 0.0 | 0.0 | 1.2 | 1.8 | -11 | -2.8 | -1552.9 | 60.0 | 66.7 | 0 | 0.0 | 80.0 | 80.0 |
| Avery Shiring | - | 7 | 6.5 | 1.1 | 1.1 | 0.1 | 0.1 | 0.0 | 0.4 | 0.9 | 1.3 | - | - | - | 50.0 | 0.0 | 66.7 | - | 54.6 | 50.0 |
| Lily Bingaman | - | 6 | 4.9 | 1.0 | 1.0 | 0.2 | 0.0 | 0.0 | 0.2 | 2.5 | -0.5 | - | - | - | 13.3 | 7.1 | 50.0 | - | 18.9 | 16.7 |
| Taylor Whaley | - | 4 | 3.9 | 0.0 | 0.8 | 0.8 | 0.0 | 0.0 | 0.0 | 0.8 | 0.8 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
| Audrey Meek | - | 1 | 8.3 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| MaeLana Clark | - | 1 | 3.3 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 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