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Connecticut Sun at Chicago Sky

CON
CON

CON

2-15

PregameThu, 8:00 PM EDT
CHI
CHI

CHI

4-10

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, Jul 307/30 - 8:00 PM EDTSeriesCHI leads series 1-0

Preview · WNBA

onnecticut Sun visit Chicago Sky Thursday at 7/30 - 8:00 PM EDT.

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

CON

Away

Stat

CHI

Home

42

FG %

42

Season series

CHI leads series 1-0

Jun 5CONCON80@CHICHI85
Jun 22CHICHI@CONCONupcoming
Jul 31CONCON@CHICHItoday
Aug 25CHICHI@CONCONupcoming

Scouting report

CON @ CHI

7/30 - 8:00 PM EDT
StorylineCON dropped 7 straight · CHI lost 4 in a row.

Tale of the tape

CONmetricCHI

2-15

Record

4-10

#7

Conf rank

#6

-10.6

Pt diff

-5.3

L7

Streak

L4

1-9

Last 10

1-9

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.

44.4%

ensemble · CON favored

  • Elo Static

    fallback · inputs missing

    50.0%

    P(CHI win)

    33%

    weight

  • Elo Recent

    fallback · inputs missing

    50.0%

    P(CHI win)

    31%

    weight

  • Pace Efficiency

    fallback · inputs missing

    50.0%

    P(CHI 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

CHI vs CON.

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.

130

projections · 0 high confidence

Points

  • Rickea JacksonCHI
    16.0± 11.0low
  • Skylar DigginsCHI
    15.8± 7.2low
  • Brittney GrinerCON
    12.3± 5.6low

Rebounds

  • Aneesah MorrowCON
    10.1± 5.0medium
  • Kamilla CardosoCHI
    7.6± 4.5medium
  • Azura StevensCHI
    5.7± 5.0low

Assists

  • Leila LacanCON
    4.8± 2.8low
  • Skylar DigginsCHI
    4.3± 3.6low
  • Natasha CloudCHI
    4.2± 3.0low

Blocks

  • Kamilla CardosoCHI
    1.7± 2.2medium
  • Brittney GrinerCON
    1.5± 1.6low
  • Elizabeth WilliamsCHI
    1.3± 1.3low

Steals

  • Leila LacanCON
    1.6± 1.4low
  • Ashlon JacksonCON
    1.3± 1.6low
  • Aicha CoulibalyCHI
    1.1± 1.2low

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

Matchup · 2026

Team rate stats vs league

wehoop

CON

CON

league avg

CHI

CHI

42.6%

FG%

44.6

42.3%

26.0%

3PT %

33.4

31.5%

79.2

PPG

85.7

83.1

18.7

Assists / G

18.0

19.4

13.4

Turnovers / G

13.0

12.5

Data via ESPN · wehoop