Los Angeles Sparks
2026 Team Stats (1 games)
89.0
PPG
63.0
Opp
+26.0
Margin
49.2%
FG%
35.5%
3P%
95.2%
FT%
29.0
RPG
25.0
APG
17.0
TO
85.2
Pace
Model Outputs
2025 latest available
No materialized model snapshot for 2026 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 → | 1042 (#6) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1016 (#10) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1005 (#9) | HCA +45 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +3.8 (#10) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +0.8 (#10) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.401 (#10) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.401 (#10) | NetEff -3.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.601 (#10) | AdjNet +2.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.609 (#10) | AdjNet +3.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.547 (#10) | AdjO 89.1 | AdjD 87.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.456 (#10) | AdjO 85.6 | AdjD 87.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.550 (#10) | 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 → | 0.532 (#10) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1012 (#10) | RD 135 | GP 45 |
2026 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kelsey Plum
|
G | 1 | 21.0 | 22.0 | 2.0 | 2.0 | 2.0 | 0.0 | 4.0 | 11.0 | 13.0 | - | - | - | 54.5 | 50.0 | 100.0 | - | 80.6 | 72.7 |
C. Gray
|
- | 1 | 17.0 | 14.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 10.0 | 5.0 | - | - | - | 50.0 | 50.0 | 0 | - | 70.0 | 70.0 |
C. Brink
|
F | 1 | 18.0 | 10.0 | 3.0 | 0.0 | 2.0 | 2.0 | 0.0 | 5.0 | 12.0 | - | - | - | 80.0 | 0 | 100.0 | - | 85.0 | 80.0 |
Ariel Atkins
|
G | 1 | 23.0 | 8.0 | 6.0 | 4.0 | 3.0 | 0.0 | 0.0 | 5.0 | 16.0 | - | - | - | 60.0 | 66.7 | 0 | - | 80.0 | 80.0 |
S. Feagin
|
F | 1 | 10.0 | 7.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 3.0 | 6.0 | - | - | - | 66.7 | 0 | 75.0 | - | 73.5 | 66.7 |
T. Latson
|
- | 1 | 22.0 | 7.0 | 5.0 | 6.0 | 0.0 | 1.0 | 2.0 | 9.0 | 8.0 | - | - | - | 33.3 | 0.0 | 100.0 | - | 37.1 | 33.3 |
Dearica Hamby
|
F | 1 | 16.0 | 6.0 | 2.0 | 2.0 | 0.0 | 0.0 | 2.0 | 4.0 | 4.0 | - | - | - | 50.0 | 0.0 | 100.0 | - | 61.5 | 50.0 |
Emma Cannon
|
F | 1 | 10.0 | 4.0 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 3.0 | - | - | - | 0.0 | 0.0 | 100.0 | - | 53.2 | 0.0 |
E. Wheeler
|
G | 1 | 15.0 | 4.0 | 0.0 | 7.0 | 0.0 | 0.0 | 1.0 | 1.0 | 9.0 | - | - | - | 100.0 | 0 | 100.0 | - | 106.4 | 100.0 |
A. Hassett
|
- | 1 | 12.0 | 3.0 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | 5.0 | - | - | - | 50.0 | 50.0 | 0 | - | 75.0 | 75.0 |
L. Ziegler
|
- | 1 | 14.0 | 2.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 4.0 | 0.0 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
Sevgi Uzun
|
G | 1 | 13.0 | 2.0 | 2.0 | 0.0 | 0.0 | 1.0 | 4.0 | 2.0 | -1.0 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
Julie Vanloo
|
G | 1 | 9.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 0.0 | 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