Caltech
Model Outputs
2023-2024
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 → | 882 (#427) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 863 (#404) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -3.2 (#213) | HCA +2.4 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-11 | @ | Pepperdine | L | 42 - 79 |
| 2023-11-15 | vs | Bethesda (CA) | W | 84 - 65 |
| 2023-11-19 | vs | UC Santa Cruz | L | 57 - 72 |
| 2023-11-20 | vs | Rose-Hulman | L | 54 - 65 |
| 2023-11-29 | @ | La Verne | L | 61 - 74 |
| 2023-12-02 | vs | Pomona-Pitzer | W | 64 - 48 |
| 2023-12-12 | @ | Bethesda (CA) | W | 74 - 57 |
| 2023-12-16 | vs | Occidental | L | 51 - 65 |
| 2023-12-20 | vs | Austin | W | 70 - 58 |
| 2024-01-06 | @ | Claremont-M-S | W | 73 - 62 |
| 2024-01-10 | vs | Chapman | W | 75 - 69 |
| 2024-01-13 | vs | Whittier | W | 53 - 51 |
| 2024-01-15 | @ | Occidental | L | 49 - 50 |
| 2024-01-17 | vs | Redlands | L | 55 - 60 |
| 2024-01-20 | @ | Cal Lutheran | L | 53 - 73 |
| 2024-01-24 | vs | La Verne | L | 53 - 57 |
| 2024-01-27 | vs | Claremont-M-S | W | 69 - 64 |
| 2024-01-31 | @ | Chapman | L | 60 - 76 |
| 2024-02-03 | @ | Pomona-Pitzer | L | 55 - 62 |
| 2024-02-10 | vs | Cal Lutheran | L | 61 - 64 |
| 2024-02-14 | @ | Redlands | L | 43 - 61 |
| 2024-02-17 | @ | Whittier | W | 59 - 47 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| KATHRYN EDWARDS | - | 18 | 34.4 | 19.8 | 8.0 | 1.7 | 2.8 | 1.3 | 2.9 | 16.7 | 13.9 | 24 | 4.8 | 5.0 | 44.7 | 22.6 | 63.8 | 0.08 | 51.4 | 48.2 |
| SAUMYA CHAUHAN | - | 15 | 29.3 | 11.5 | 3.5 | 1.5 | 0.5 | 0.0 | 2.0 | 9.1 | 5.8 | - | - | - | 37.2 | 38.8 | 78.6 | 0.01 | 53.2 | 46.7 |
| KODIE VONDRA | - | 17 | 33.6 | 10.7 | 3.8 | 2.4 | 1.5 | 0.4 | 2.5 | 11.6 | 4.6 | 9 | 1.8 | 1.7 | 33.5 | 31.5 | 52.4 | -0.07 | 44.1 | 43.4 |
| HOPE ARNETT | - | 17 | 34.8 | 9.2 | 4.8 | 3.2 | 3.9 | 0.3 | 1.9 | 8.5 | 10.9 | - | - | - | 40.0 | 33.3 | 71.4 | 0.0 | 50.6 | 48.6 |
| MILAN ROBINSON | - | 18 | 31.1 | 4.7 | 3.7 | 2.7 | 1.8 | 0.1 | 1.6 | 4.0 | 7.4 | - | - | - | 38.9 | 26.7 | 48.8 | -0.02 | 46.6 | 44.4 |
| CLAIRE PERHACH | - | 18 | 23.9 | 4.5 | 4.1 | 1.3 | 0.9 | 0.2 | 2.0 | 5.4 | 3.6 | - | - | - | 36.1 | 33.3 | 58.8 | -0.1 | 38.8 | 36.6 |
| CLAIRE ZHANG | - | 5 | 6.8 | 2.6 | 0.8 | 0.0 | 0.6 | 0.0 | 0.8 | 2.4 | 0.8 | - | - | - | 33.3 | 33.3 | 100.0 | - | 48.8 | 41.7 |
| Mariamma Vazhaeparambil | - | 4 | 11.8 | 2.5 | 0.5 | 0.2 | 0.2 | 0.0 | 0.8 | 3.0 | -0.2 | - | - | - | 25.0 | 20.0 | 50.0 | -0.22 | 36.3 | 33.3 |
| MARIA VAZHAEPARAMBIL | - | 17 | 9.4 | 1.9 | 0.9 | 0.2 | 0.5 | 0.0 | 0.4 | 2.1 | 1.0 | - | - | - | 25.0 | 26.9 | 87.5 | -0.22 | 40.5 | 34.7 |
| ESHANI PATEL | - | 17 | 11.6 | 1.7 | 1.4 | 0.4 | 0.1 | 0.2 | 0.6 | 2.6 | 0.6 | - | - | - | 26.7 | 0.0 | 71.4 | -0.49 | 30.2 | 26.7 |
| ELEANOR KIM | - | 3 | 4.3 | 0.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.7 | 0.3 | -0.7 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
| Katherine Marquis | - | 3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 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