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Los Angeles Sparks at Washington Mystics

LA
LA

LA

7-8

PregameSat, 7:30 PM EDT
WSH
WSH

WSH

7-7

Verdict

Pass · no edge tonight.

The model doesn't see daylight against the posted line on this game. We don't surface negative-EV picks; check the drill-down for sub-model context.

WNBASat, Aug 158/15 - 7:30 PM EDTSeriesLA leads series 1-0

Preview · WNBA

os Angeles Sparks visit Washington Mystics Saturday at 8/15 - 7:30 PM EDT. LA is 4-4 in their last 8. WSH arrives on a 3-game win streak (5-3 in their last 8).

The market hasn't shipped a line worth tagging key numbers on yet — check back closer to first pitch.

ByTheOnemodel/auto-generated · live odds + scouting data/refreshes with the page

Updated 0s ago

Team stats

LA

Away

Stat

WSH

Home

45

FG %

45

Season series

LA leads series 1-0

May 29LALA92@WSHWSH87
Aug 15LALA@WSHWSHtoday
Aug 29WSHWSH@LALAupcoming

Scouting report

LA @ WSH

8/15 - 7:30 PM EDT
StorylineWSH on a 3-game roll.

Model edge vs market

Lean only
Spread

Market

Model

WSH -7.5

Edge

Total

Market

Model

On the roadmap

Edge

Moneyline

Market

Model

WSH

Edge

Model spread derived from 21-day power-rank delta · not a true point-spread model. Total + ML model wires roadmap. Bet responsibly · 21+

Tale of the tape

LAmetricWSH

8-8

Record

8-7

#5

Conf rank

#4

-2.9

Pt diff

-3.2

W1

Streak

W3

5-5

Last 10

6-4

46.3

Power score

53.8

#9

Power rank

#8

Composite signals from ESPN standings + 21-day power rolling. NBA pace / ORtg / DRtg from ESPN core team-stats; NFL yards-per-game from nflverse aggregation. Park factors, weather, KenPom-class metrics still on the roadmap.

Drill down

Sub-model tables · ensemble breakdown · last meeting · book shop · player props

Model ensemble · how the prediction is built

3 sub-models, blended.

Each sub-model uses a different rating substrate. Bayesian model averaging weights them by rolling Brier score so the ensemble inherits each model's strengths. Disagreement flags games where the sub-models don't see eye-to-eye — lower confidence, wider band.

46.4%

ensemble · LA favored

  • Elo Static

    fallback · inputs missing

    50.0%

    P(WSH win)

    33%

    weight

  • Elo Recent

    fallback · inputs missing

    50.0%

    P(WSH win)

    32%

    weight

  • Pace Efficiency

    fallback · inputs missing

    50.0%

    P(WSH win)

    35%

    weight

Disagreement

0.00 pp

weighted σ across sub-models

Confidence

100% · high

maps from disagreement

Substrate count

0 / 3 active

ones with full inputs tonight

Weights recalibrated nightly on a 90-day rolling window with strict point-in-time correctness — no model gets credit for a game it hasn't seen. Headline % is Platt-scaled per league; sub-model rows show raw BMA inputs.

Player projections

WSH vs LA.

Per-player stat projections built from a recency-weighted blend of the last ten games, season average, and matchup context. Confidence reflects sample size and stability — the top of each list is who to watch.

125

projections · 0 high confidence

Points

  • Kelsey PlumLA
    23.3± 15.0low
  • Sonia CitronWSH
    16.6± 6.2medium
  • Nneka OgwumikeLA
    15.9± 6.5medium

Rebounds

  • Nneka OgwumikeLA
    9.3± 4.8medium
  • Shakira AustinWSH
    8.1± 3.7low
  • Dearica HambyLA
    7.8± 2.5medium

Assists

  • Kelsey PlumLA
    6.6± 3.5low
  • Erica WheelerLA
    4.5± 2.5medium
  • Sonia CitronWSH
    4.0± 2.7medium

Blocks

  • Cameron BrinkLA
    1.5± 0.8medium
  • Shakira AustinWSH
    1.2± 1.2low
  • Rae BurrellLA
    0.9± 1.4medium

Steals

  • Ariel AtkinsLA
    1.7± 1.6medium
  • Dearica HambyLA
    1.4± 1.6medium
  • Sonia CitronWSH
    1.4± 1.6medium

Projections recompute every 30 minutes · prop lines plug in once sportsbook ingest lands

Matchup · 2026

Team rate stats vs league

wehoop

LA

LA

league avg

WSH

WSH

45.7%

FG%

44.6

44.9%

31.2%

3PT %

33.5

29.4%

87.7

PPG

85.9

82.2

19.7

Assists / G

18.0

18.9

14.9

Turnovers / G

13.0

15.6

Data via ESPN · wehoop