Manhattan Chrst.
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 |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 970 (#356) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 920 (#403) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 981 (#490) | HCA +75 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -51.9 (#694) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.000 (#761) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.000 (#518) | NetEff -89.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.000 (#766) | AdjNet -81.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.000 (#767) | AdjNet -83.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.003 (#770) | AdjO 44.1 | AdjD 108.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.203 (#662) | AdjO 59.9 | AdjD 75.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.061 (#677) | 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 → | 0.080 (#674) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 882 (#399) | RD 289 | GP 1 |
2024 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mariah Garcia | - | 1 | 38.0 | 11.0 | 0.0 | 1.0 | 1.0 | 0.0 | 14.0 | 12.0 | -13.0 | - | - | - | 33.3 | 20.0 | 50.0 | - | 40.0 | 37.5 |
| Katie Williams | - | 1 | 40.0 | 5.0 | 1.0 | 1.0 | 0.0 | 0.0 | 3.0 | 13.0 | -9.0 | 36 | 2.4 | 3.1 | 7.7 | 0.0 | 75.0 | 0.33 | 16.9 | 7.7 |
| Maritza Yescas | - | 1 | 40.0 | 3.0 | 7.0 | 0.0 | 0.0 | 0.0 | 15.0 | 7.0 | -12.0 | - | - | - | 14.3 | 0.0 | 50.0 | - | 19.0 | 14.3 |
| Madison Ellis | - | 1 | 40.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 | 5.0 | -7.0 | -25 | -2.5 | -3.8 | 0.0 | 0.0 | 50.0 | -0.41 | 8.5 | 0.0 |
| Dyamond Henderson | - | 1 | 37.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Karlee Wahlmeier | - | 1 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | -2.0 | - | - | - | 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