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Washington Mystics at Las Vegas Aces

WSH
WSH

WSH

7-7

PregameThu, 10:00 PM EDT
LV
LV

LV

11-4

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.

WNBAThu, Aug 138/13 - 10:00 PM EDTSeriesstarts 7/22

Preview · WNBA

ashington Mystics visit Las Vegas Aces Thursday at 8/13 - 10:00 PM EDT. WSH is 4-3 in their last 7. LV is rolling — 8-1 in their last 9.

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

WSH

Away

Stat

LV

Home

45

FG %

48

Season series

Series starts 7/22

Jul 22LVLV@WSHWSHupcoming
Aug 12WSHWSH@LVLVupcoming
Aug 14WSHWSH@LVLVtoday

Scouting report

WSH @ LV

8/13 - 10:00 PM EDT

Model edge vs market

Lean only
Spread

Market

Model

LV -32.0

Edge

Total

Market

Model

On the roadmap

Edge

Moneyline

Market

Model

LV

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

WSHmetricLV

7-7

Record

12-4

#5

Conf rank

#2

-3.8

Pt diff

+4.4

W2

Streak

W2

5-5

Last 10

8-2

49.1

Power score

81.2

#8

Power rank

#3

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.

43.0%

ensemble · WSH favored

  • Elo Static

    fallback · inputs missing

    50.0%

    P(LV win)

    33%

    weight

  • Elo Recent

    fallback · inputs missing

    50.0%

    P(LV win)

    32%

    weight

  • Pace Efficiency

    fallback · inputs missing

    50.0%

    P(LV 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

LV vs WSH.

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.

110

projections · 0 high confidence

Points

  • A'ja WilsonLV
    25.8± 6.6medium
  • Jackie YoungLV
    17.7± 7.6medium
  • Sonia CitronWSH
    15.6± 6.8medium

Rebounds

  • A'ja WilsonLV
    9.6± 4.4medium
  • Kiki IriafenWSH
    8.0± 5.3low
  • Shakira AustinWSH
    7.9± 4.1low

Assists

  • Chelsea GrayLV
    7.3± 2.5medium
  • Jackie YoungLV
    7.1± 2.4medium
  • Sonia CitronWSH
    3.9± 2.9medium

Blocks

  • A'ja WilsonLV
    2.1± 2.0medium
  • Shakira AustinWSH
    1.2± 1.3low
  • Cheyenne Parker-TyusLV
    0.7± 0.8medium

Steals

  • A'ja WilsonLV
    1.5± 1.6medium
  • Sonia CitronWSH
    1.4± 1.6medium
  • Chelsea GrayLV
    1.3± 1.0medium

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

Matchup · 2026

Team rate stats vs league

wehoop

WSH

WSH

league avg

LV

LV

44.9%

FG%

44.6

48.3%

29.4%

3PT %

33.5

35.6%

82.2

PPG

85.9

89.9

18.9

Assists / G

18.0

23.5

15.6

Turnovers / G

13.0

12.7

Data via ESPN · wehoop