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Caltech

Also known as: Caltech
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 → 753 (#566) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 749 (#549) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 800 (#689) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → -12.0 (#329) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -13.1 (#533) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.254 (#558) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -21.2 More → 0.051 (#522) NetEff -21.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -5.1 More → 0.358 (#429) AdjNet -5.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -5.2 More → 0.350 (#429) AdjNet -5.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 58.6 | AdjD 62.9 More → 0.404 (#433) AdjO 58.6 | AdjD 62.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 53.7 | AdjD 66.1 More → 0.246 (#638) AdjO 53.7 | AdjD 66.1
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 → 0.186 (#606) 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 → 0.188 (#615) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 120 | GP 18 More → 707 (#540) RD 120 | GP 18

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs MIT - Incomplete score
2025-11-14 vs Texas Lutheran - Incomplete score
2025-11-19 @ LIFE Pacific - Incomplete score
2025-11-22 vs Stanton - Incomplete score
2025-12-03 vs Pomona-Pitzer - Incomplete score
2025-12-13 vs UC Santa Cruz - Incomplete score
2025-12-16 vs Illinois Tech - Incomplete score
2025-12-31 vs Claremont-M-S - Incomplete score
2026-01-10 vs Occidental - Incomplete score
2026-01-17 @ Chapman - Incomplete score
2026-01-21 @ La Verne - Incomplete score
2026-01-24 vs Whittier - Incomplete score
2026-01-28 @ Pomona-Pitzer - Incomplete score
2026-01-31 @ Occidental - Incomplete score
2026-02-07 vs Cal Lutheran - 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%
Kyra Phaychanpheng - 13 33.3 16.4 7.2 1.1 1.9 0.7 2.6 14.9 9.8 -90 -6.0 -31.9 37.1 24.2 70.9 -0.2 45.9 39.2
Zeynep Goktepe - 14 35.1 13.4 4.4 2.1 1.3 0.2 3.4 11.1 6.7 -120 -7.5 -43.1 47.4 40.7 58.3 -1.34 52.8 51.0
Isabella Lo - 14 36.7 10.8 4.2 2.5 2.1 0.0 3.3 10.1 6.2 -131 -8.2 -45.3 39.7 29.5 72.2 -1.3 48.1 44.3
Louise Scriven - 13 31.1 5.9 6.4 0.5 1.2 2.2 1.0 8.0 7.2 -100 -7.1 -31.6 26.9 25.5 43.8 0.36 34.7 33.7
Carolyn Ruan - 14 31.8 5.5 2.1 1.4 0.5 0.0 2.5 6.4 0.6 -122 -7.6 -50.0 28.9 26.7 75.0 -3.14 40.4 37.8
Isabella Gray-Musolff - 1 4.0 4.0 2.0 0.0 0.0 0.0 0.0 3.0 3.0 - - - 66.7 0.0 0 -3.21 66.7 66.7
Anamaria Robertson - 14 28.6 3.5 3.5 1.2 1.4 0.1 1.4 5.9 2.3 -80 -5.0 -35.8 21.7 13.3 50.0 1.15 26.9 24.1
Alyssa Smith - 1 5.0 2.0 1.0 1.0 1.0 0.0 0.0 2.0 3.0 16 0.9 6.1 50.0 0.0 0 2.14 50.0 50.0
Samantha Miller - 1 4.0 2.0 0.0 1.0 0.0 0.0 0.0 1.0 2.0 - - - 100.0 0 0 -2.06 100.0 100.0
Kaylee Shimoda - 1 5.0 2.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 - - - 100.0 0 0 -0.28 100.0 100.0
Jasmine Prajitno - 1 5.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - 0 0 50.0 -0.57 56.8 0
Ellie Yamada - 8 7.7 0.0 0.4 0.2 0.1 0.0 0.4 0.6 -0.2 -6 -0.8 -17.1 0.0 0.0 0 -0.44 0.0 0.0
Shyna Kashi - 10 5.0 0.0 0.4 0.0 0.2 0.0 0.0 0.4 0.2 -45 -4.1 -524.3 0.0 0.0 0 -2.69 0.0 0.0
Maya Sanborn - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 -1.0 0 0
Jayda Felix - 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 -1.57 0 0
Zaria Gomez - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 1.29 0 0
Mcguire Lennon - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 -1.51 0 0
Niani Shields - 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0 0 -0.3 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