Menlo
Also known as: Menlo
Program History
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1076 (#192) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1020 (#292) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +20.4 (#115) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.864 (#264) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.724 (#269) | NetEff +8.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.878 (#229) | AdjNet +17.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.877 (#231) | AdjNet +16.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.733 (#218) | AdjO 76.9 | AdjD 65.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.674 (#154) | AdjO 70.1 | AdjD 62.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.759 (#160) | 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 → | 0.731 (#180) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1118 (#131) | RD 350 | GP 1 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-06 | @ | UC Santa Cruz | W | 67 - 58 |
| 2024-01-17 | vs | UC Santa Cruz | W | 81 - 67 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| JASMYNE HUGGINS | - | 1 | 33.0 | 20.0 | 7.0 | 3.0 | 3.0 | 1.0 | 0.0 | 12.0 | 22.0 | - | - | - | 75.0 | 0 | 100.0 | - | 77.6 | 75.0 |
| KIARA BROWN | - | 1 | 31.0 | 19.0 | 8.0 | 1.0 | 2.0 | 0.0 | 3.0 | 16.0 | 11.0 | 36 | 5.1 | 6.1 | 37.5 | 0.0 | 77.8 | 0.37 | 47.6 | 37.5 |
| SHAY BOLEY | - | 1 | 31.0 | 14.0 | 6.0 | 5.0 | 4.0 | 0.0 | 1.0 | 8.0 | 20.0 | - | - | - | 37.5 | 0 | 88.9 | - | 58.5 | 37.5 |
| ALBERTE FRISCH | - | 1 | 20.0 | 14.0 | 3.0 | 2.0 | 0.0 | 1.0 | 3.0 | 5.0 | 12.0 | - | - | - | 60.0 | 100.0 | 100.0 | 0.03 | 97.2 | 90.0 |
| Jordyn Rosette | - | 1 | 27.0 | 14.0 | 4.0 | 2.0 | 4.0 | 2.0 | 2.0 | 15.0 | 9.0 | - | - | - | 33.3 | 0.0 | 100.0 | 0.14 | 41.8 | 33.3 |
| ALIYA HUNTER | - | 1 | 23.0 | 6.0 | 1.0 | 1.0 | 3.0 | 0.0 | 0.0 | 5.0 | 6.0 | 6 | 0.6 | 1.1 | 40.0 | 100.0 | 0 | 0.06 | 60.0 | 60.0 |
| JESNI COOPER | - | 1 | 30.0 | 5.0 | 2.0 | 2.0 | 1.0 | 0.0 | 2.0 | 7.0 | 1.0 | - | - | - | 28.6 | 0.0 | 100.0 | - | 33.6 | 28.6 |
| TIA MORGAN | - | 1 | 16.0 | 3.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 5.0 | -2.0 | - | - | - | 20.0 | 0.0 | 50.0 | 0.14 | 25.5 | 20.0 |
| Jensi Cooper | - | 1 | 17.0 | 2.0 | 2.0 | 2.0 | 0.0 | 0.0 | 4.0 | 2.0 | 0.0 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
| Lee Hunter | - | 1 | 20.0 | 1.0 | 1.0 | 3.0 | 3.0 | 0.0 | 2.0 | 3.0 | 3.0 | - | - | - | 0.0 | 0.0 | 50.0 | - | 12.9 | 0.0 |
| Mehkia Applewhite | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -11 | -1.8 | -13.6 | 0 | 0 | 0 | 0.06 | 0 | 0 |
| Claire Kikkawa | - | 1 | 13.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | -2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Erin Sellers | - | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
| FRIDA SCHMIDT | - | 1 | 16.0 | 0.0 | 4.0 | 0.0 | 0.0 | 1.0 | 2.0 | 2.0 | 1.0 | - | - | - | 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