Las Vegas Aces
Model Outputs
2026 latest available
No materialized model snapshot for 2002 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 → | 1065 (#6) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1100 (#4) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1077 (#4) | HCA +51 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +3.7 (#5) | HCA +1.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +6.4 (#4) | HCA +1.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.632 (#6) | - |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.601 (#4) | AdjO 92.1 | AdjD 87.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.628 (#5) | 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 → | 0.627 (#5) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1112 (#4) | RD 86 | GP 28 |
2002 Schedule & Results
No games found for this season.
2002 Roster
Minutes by Position
Not enough player minute data to plot.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Natalie Williams | G | 30 | 0.0 | 13.8 | 9.9 | 1.7 | 1.3 | 0.3 | 0.0 | 11.1 | 15.9 | - | - | - | 48.9 | 0.0 | 72.1 | - | 53.5 | 48.9 |
| Adrienne Goodson | F | 27 | 0.0 | 12.3 | 5.4 | 2.1 | 1.0 | 0.0 | 0.0 | 11.3 | 9.5 | - | - | - | 43.1 | 16.1 | 69.7 | - | 47.9 | 44.0 |
| Marie Ferdinand-Harris | G | 31 | 0.0 | 11.5 | 2.7 | 2.5 | 1.3 | 0.1 | 0.0 | 9.2 | 9.0 | - | - | - | 48.8 | 26.2 | 60.9 | - | 53.4 | 50.7 |
| Margo Dydek | C | 31 | 0.0 | 11.0 | 7.6 | 2.0 | 0.8 | 3.5 | 0.0 | 9.1 | 15.9 | - | - | - | 44.8 | 41.7 | 79.4 | - | 52.1 | 45.7 |
| Jennifer Azzi | G | 31 | 0.0 | 8.8 | 3.0 | 5.3 | 0.7 | 0.3 | 0.0 | 5.8 | 12.2 | - | - | - | 40.9 | 52.1 | 91.5 | - | 61.2 | 51.4 |
| Korie Hlede | G | 26 | 0.0 | 5.4 | 1.5 | 1.5 | 1.0 | 0.0 | 0.0 | 5.1 | 4.4 | - | - | - | 38.6 | 33.3 | 86.1 | - | 47.3 | 41.3 |
| Kate Starbird | G | 22 | 0.0 | 4.9 | 1.3 | 0.9 | 0.3 | 0.0 | 0.0 | 4.9 | 2.5 | - | - | - | 37.4 | 21.7 | 81.5 | - | 45.0 | 39.7 |
| Amy Herrig | F | 31 | 0.0 | 3.8 | 2.5 | 0.4 | 0.3 | 0.5 | 0.0 | 2.8 | 4.6 | - | - | - | 47.7 | 0 | 76.1 | - | 55.0 | 47.7 |
| LaTonya Johnson | - | 26 | 0.0 | 1.9 | 0.7 | 0.3 | 0.1 | 0.0 | 0.0 | 2.5 | 0.5 | - | - | - | 26.2 | 16.7 | 78.6 | - | 35.1 | 30.0 |
| Cara Consuegra | - | 14 | 0.0 | 0.1 | 0.4 | 0.7 | 0.3 | 0.0 | 0.0 | 0.4 | 1.1 | - | - | - | 0.0 | 0.0 | 50.0 | - | 14.8 | 0.0 |
| Michaela Pavlickova | - | 9 | 0.0 | 0.1 | 0.7 | 0.0 | 0.0 | 0.2 | 0.0 | 0.2 | 0.8 | - | - | - | 0.0 | 0 | 50.0 | - | 17.4 | 0.0 |
| Keitha Dickerson | - | 4 | 0.0 | 0.0 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | - | - | - | 0 | 0 | 0.0 | - | 0.0 | 0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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