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Redlands

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
Also known as: Redlands
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 → 1082 (#148) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1171 (#89) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1096 (#97) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +18.5 (#56) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 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. NetEff +33.6 More → 0.989 (#87) NetEff +33.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +17.3 More → 0.880 (#226) AdjNet +17.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +17.1 More → 0.883 (#226) AdjNet +17.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.1 | AdjD 59.0 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. AdjO 70.7 | AdjD 57.4 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. RD 102 | GP 20 More → 1172 (#89) RD 102 | GP 20

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Pacific Lutheran - Incomplete score
2025-11-15 vs Mary Hardin-Baylor - Incomplete score
2025-11-24 vs George Fox - Incomplete score
2025-12-03 vs Chapman - Incomplete score
2025-12-17 vs Mt. St. Mary (NY) - Incomplete score
2025-12-29 vs Wesleyan (CT) - Incomplete score
2025-12-30 @ Bridgewater St. - Incomplete score
2026-01-10 vs Cal Lutheran - Incomplete score
2026-01-14 @ La Verne - Incomplete score
2026-01-17 @ Whittier - Incomplete score
2026-01-19 vs Pomona-Pitzer - Incomplete score
2026-01-21 @ Claremont-M-S - Incomplete score
2026-01-24 vs Occidental - Incomplete score
2026-01-28 @ Chapman - Incomplete score
2026-01-31 @ Cal Lutheran - Incomplete score
2026-02-04 vs La Verne - Incomplete score

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 - 6 27.7 15.5 10.3 2.3 1.5 1.2 2.2 12.3 16.3 31 2.4 20.6 48.6 0 84.0 3.13 54.7 48.6
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 1.06 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 -1.52 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 -0.19 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 -1.93 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 4.01 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 2.7 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 0.9 41.4 40.7
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 0.75 65.4 65.4
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 1.65 86.4 86.4
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 0.98 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 1.13 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 - 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 -1.13 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 1.13 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