Los Angeles Sparks
2025 Team Stats (45 games)
85.6
PPG
88.1
Opp
-2.5
Margin
45.6%
FG%
33.6%
3P%
76.8%
FT%
33.4
RPG
20.7
APG
14.2
TO
90.3
Pace
89.1
AdjO
87.0
AdjD
#10
Rank
Model Outputs
2025
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 |
2025 Schedule & Results
2025 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 | 44 | 34.8 | 19.3 | 3.0 | 5.7 | 1.2 | 0.1 | 3.0 | 14.2 | 12.1 | - | - | - | 42.1 | 35.0 | 89.6 | 0.35 | 57.7 | 50.0 |
Dearica Hamby
|
F | 45 | 31.0 | 18.1 | 7.9 | 3.3 | 1.6 | 0.5 | 2.7 | 12.7 | 16.0 | - | - | - | 57.2 | 27.8 | 62.7 | -1.32 | 60.5 | 58.5 |
R. Jackson
|
F | 39 | 30.7 | 14.6 | 3.2 | 1.6 | 0.6 | 0.4 | 2.0 | 12.6 | 5.7 | - | - | - | 42.6 | 35.1 | 84.0 | - | 53.2 | 49.4 |
Azurá Stevens
|
F | 45 | 28.3 | 12.7 | 8.1 | 2.1 | 1.2 | 1.1 | 1.4 | 9.7 | 14.0 | - | - | - | 47.8 | 37.9 | 79.0 | -0.47 | 59.5 | 56.4 |
Aari McDonald
|
G | 1 | 16.0 | 12.0 | 0.0 | 2.0 | 2.0 | 0.0 | 0.0 | 11.0 | 5.0 | - | - | - | 36.4 | 28.6 | 66.7 | -0.26 | 48.7 | 45.5 |
Odyssey Sims
|
G | 13 | 28.8 | 9.9 | 2.8 | 3.5 | 0.8 | 0.1 | 1.4 | 8.3 | 7.5 | - | - | - | 41.7 | 34.2 | 74.3 | -0.4 | 52.3 | 47.7 |
R. Burrell
|
G | 29 | 18.2 | 7.3 | 2.3 | 1.2 | 0.6 | 0.2 | 0.9 | 6.3 | 4.4 | - | - | - | 42.3 | 31.9 | 72.9 | - | 51.9 | 48.4 |
Julie Allemand
|
G | 34 | 28.4 | 5.4 | 3.7 | 5.0 | 1.3 | 0.0 | 1.6 | 4.7 | 9.2 | - | - | - | 44.0 | 27.7 | 78.9 | - | 54.7 | 52.8 |
C. Brink
|
F | 19 | 12.9 | 5.1 | 4.3 | 0.5 | 0.5 | 1.4 | 1.3 | 4.3 | 6.1 | - | - | - | 42.7 | 29.4 | 76.2 | - | 52.6 | 48.8 |
Shey Peddy
|
G | 6 | 23.0 | 5.0 | 3.0 | 2.7 | 0.3 | 0.0 | 0.7 | 4.0 | 6.3 | - | - | - | 41.7 | 38.5 | 83.3 | - | 56.3 | 52.1 |
Emma Cannon
|
F | 22 | 10.4 | 4.5 | 2.0 | 0.4 | 0.5 | 0.1 | 0.8 | 3.1 | 3.4 | - | - | - | 48.5 | 37.8 | 66.7 | - | 61.3 | 58.8 |
Alissa Pili
|
F | 5 | 3.6 | 3.2 | 0.4 | 0.0 | 0.0 | 0.2 | 0.2 | 1.2 | 2.4 | - | - | - | 50.0 | 0.0 | 90.9 | - | 73.8 | 50.0 |
L. King
|
F | 13 | 9.6 | 3.2 | 2.2 | 0.3 | 0.2 | 0.0 | 0.9 | 2.0 | 3.0 | - | - | - | 53.8 | 28.6 | 70.6 | - | 62.7 | 57.7 |
S. Barker
|
G | 35 | 14.1 | 3.1 | 2.0 | 1.0 | 0.3 | 0.1 | 1.1 | 3.0 | 2.4 | - | - | - | 34.0 | 30.6 | 73.1 | - | 46.8 | 42.9 |
Julie Vanloo
|
G | 26 | 10.2 | 2.2 | 0.6 | 1.2 | 0.3 | 0.0 | 1.0 | 2.4 | 0.9 | - | - | - | 30.2 | 31.5 | 75.0 | -0.05 | 44.8 | 43.7 |
Mercedes Russell
|
C | 21 | 8.2 | 1.8 | 1.2 | 0.6 | 0.2 | 0.2 | 0.4 | 1.4 | 2.3 | - | - | - | 48.3 | 0 | 71.4 | 0.0 | 54.0 | 48.3 |
S. Feagin
|
F | 17 | 4.9 | 1.4 | 0.6 | 0.3 | 0.0 | 0.4 | 0.4 | 1.6 | 0.6 | - | - | - | 35.7 | 0.0 | 50.0 | - | 37.5 | 35.7 |
Grace Berger
|
G | 1 | 16.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 3.0 | 4.0 | -5.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
S. Swain
|
G | 1 | 4.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 2.0 | 1.0 | -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