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Los Angeles Sparks

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Los Angeles Sparks
Program History

2026 Team Stats (2 games)

87.0
PPG
89.0
Opp
-0.6
Margin
44.7%
FG%
32.3%
3P%
83.0%
FT%
30.0
RPG
23.5
APG
18.5
TO
91.7
Pace

Model Outputs

2025 latest available
Catalog

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. HCA +45 elo More → 1005 (#9) HCA +45 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More → +3.8 (#10) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 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. NetEff -3.0 More → 0.401 (#10) NetEff -3.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +2.9 More → 0.601 (#10) AdjNet +2.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +3.1 More → 0.609 (#10) AdjNet +3.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 89.1 | AdjD 87.0 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. AdjO 85.6 | AdjD 87.5 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. RD 135 | GP 45 More → 1012 (#10) RD 135 | GP 45

2026 Schedule & Results

Date Vs/At Opponent Result Score
2026-04-25 vs NIGERIA W 89 - 63
2026-05-03 @ Portland Fire W 85 - 75
2026-05-10 vs Las Vegas Aces L 78 - 105
2026-05-13 vs Indiana Fever L 78 - 87
2026-05-15 vs Toronto Tempo W 99 - 95
2026-05-17 vs Toronto Tempo L 96 - 106
2026-05-21 @ Phoenix Mercury W 97 - 88
2026-05-23 @ Las Vegas Aces W 101 - 95
2026-05-29 @ Washington Mystics W 92 - 87
2026-05-30 @ Connecticut Sun L 81 - 84
2026-06-02 vs Las Vegas Aces L 69 - 79
2026-06-05 vs Dallas Wings L 96 - 104
2026-06-07 vs Portland Fire - Preview

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 Kelsey Plum G 2 19.5 17.5 1.5 3.0 1.0 0.0 3.0 9.0 11.0 - - - 50.0 60.0 100.0 - 76.6 66.7
Nneka Ogwumike Nneka Ogwumike F 1 20.0 17.0 4.0 5.0 1.0 0.0 0.0 9.0 18.0 - - - 55.6 66.7 71.4 - 70.4 66.7
C. Gray C. Gray - 2 15.0 10.0 1.5 1.0 0.5 0.0 1.0 7.5 4.5 - - - 46.7 45.5 50.0 - 63.0 63.3
Dearica Hamby Dearica Hamby F 2 17.5 9.5 3.0 2.0 1.0 0.0 2.0 4.5 9.0 - - - 66.7 0.0 87.5 - 75.9 66.7
S. Feagin S. Feagin F 2 10.0 7.5 2.0 0.5 1.0 0.0 1.0 3.0 7.0 - - - 66.7 0 87.5 - 78.8 66.7
T. Latson T. Latson - 2 18.0 7.0 3.0 4.0 0.0 0.5 3.0 7.0 4.5 - - - 35.7 0.0 57.1 - 41.0 35.7
Ariel Atkins Ariel Atkins G 2 20.0 6.0 4.0 3.5 2.0 0.5 0.5 4.5 11.0 - - - 44.4 60.0 50.0 - 60.7 61.1
E. Wheeler E. Wheeler G 2 13.0 5.0 0.0 4.5 0.5 0.0 1.0 3.0 6.0 - - - 50.0 40.0 100.0 - 72.7 66.7
C. Brink C. Brink F 2 15.0 5.0 3.5 0.0 1.5 1.5 2.0 3.5 6.0 - - - 57.1 0.0 100.0 - 63.5 57.1
R. Burrell R. Burrell G 1 18.0 4.0 2.0 0.0 2.0 1.0 1.0 5.0 3.0 - - - 40.0 0.0 0 - 40.0 40.0
Emma Cannon Emma Cannon F 2 9.0 3.5 1.5 0.5 0.0 0.0 0.5 2.0 3.0 - - - 25.0 33.3 100.0 - 60.8 37.5
A. Hassett 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
Jihyun Jihyun G 1 10.0 2.0 2.0 0.0 0.0 0.0 0.0 3.0 1.0 - - - 33.3 0.0 0 - 33.3 33.3
Sevgi Uzun Sevgi Uzun G 2 11.5 2.0 2.0 0.0 0.0 0.5 2.0 3.0 -0.5 - - - 33.3 0.0 0 - 33.3 33.3
L. Ziegler L. Ziegler - 2 12.0 1.0 1.0 0.5 0.5 0.5 1.0 3.5 -1.0 - - - 14.3 0.0 0 - 14.3 14.3
Julie Vanloo Julie Vanloo G 2 9.0 0.0 1.5 1.5 0.0 0.0 1.0 1.5 0.5 - - - 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