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Washington Mystics at Chicago Sky

WSH
WSH

WSH

8-8

PregameThu, 8:00 PM EDT
CHI
CHI

CHI

5-12

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, Sep 179/17 - 8:00 PM EDTSeriesWSH leads series 1-0

Preview · WNBA

ashington Mystics visit Chicago Sky Thursday at 9/17 - 8:00 PM EDT. WSH is 4-4 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

WSH

Away

Stat

CHI

Home

45

FG %

42

Season series

WSH leads series 1-0

Jun 2CHICHI72@WSHWSH90
Sep 18WSHWSH@CHICHItoday
Sep 24CHICHI@WSHWSHupcoming

Scouting report

WSH @ CHI

9/17 - 8:00 PM EDT

Tale of the tape

WSHmetricCHI

8-8

Record

5-12

#5

Conf rank

#6

-3.2

Pt diff

-4.7

L1

Streak

W1

5-5

Last 10

2-8

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.

53.4%

ensemble · CHI favored

  • Elo Static

    fallback · inputs missing

    50.0%

    P(CHI win)

    33%

    weight

  • Elo Recent

    fallback · inputs missing

    50.0%

    P(CHI win)

    33%

    weight

  • Pace Efficiency

    fallback · inputs missing

    50.0%

    P(CHI win)

    34%

    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

CHI 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.

115

projections · 0 high confidence

Points

  • Sonia CitronWSH
    17.6± 7.5medium
  • Rickea JacksonCHI
    16.0± 11.0low
  • Skylar DigginsCHI
    14.4± 7.2medium

Rebounds

  • Shakira AustinWSH
    9.1± 3.8medium
  • Kamilla CardosoCHI
    8.2± 4.8medium
  • Kiki IriafenWSH
    7.7± 4.5low

Assists

  • Skylar DigginsCHI
    4.2± 2.6medium
  • Sonia CitronWSH
    4.0± 2.6medium
  • Georgia AmooreWSH
    3.9± 2.9medium

Blocks

  • Kamilla CardosoCHI
    2.0± 1.9medium
  • Elizabeth WilliamsCHI
    1.2± 1.1medium
  • Rickea JacksonCHI
    1.2± 1.6low

Steals

  • Sonia CitronWSH
    1.3± 1.6medium
  • Aicha CoulibalyCHI
    1.1± 1.2low
  • Skylar DigginsCHI
    1.1± 1.1medium

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

CHI

CHI

44.9%

FG%

44.9

42.0%

30.0%

3PT %

33.4

30.4%

81.9

PPG

86.3

83.5

18.8

Assists / G

18.0

19.4

15.8

Turnovers / G

13.0

12.6

Data via ESPN · wehoop