Free during beta —to track favorites + alerts

Dallas Wings at Connecticut Sun

DAL
DAL

DAL

9-6

PregameThu, 8:00 PM EDT
CON
CON

CON

2-14

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 27/2 - 8:00 PM EDTSeriesstarts 7/2

Preview · WNBA

allas Wings visit Connecticut Sun Thursday at 7/2 - 8:00 PM EDT. DAL is 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

Season series

Series starts 7/2

Jul 3DALDAL@CONCONtoday
Aug 2CONCON@DALDALupcoming
Aug 31CONCON@DALDALupcoming

Scouting report

DAL @ CON

7/2 - 8:00 PM EDT
StorylineCON lost 6 in a row.

Tale of the tape

DALmetricCON

9-6

Record

2-14

#4

Conf rank

#7

+4.9

Pt diff

-11.0

L1

Streak

L6

6-4

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.

Team stats

DAL

Away

Stat

CON

Home

46

FG %

42

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.

43.9%

ensemble · DAL favored

  • Elo Static

    fallback · inputs missing

    50.0%

    P(CON win)

    33%

    weight

  • Elo Recent

    fallback · inputs missing

    50.0%

    P(CON win)

    31%

    weight

  • Pace Efficiency

    fallback · inputs missing

    50.0%

    P(CON 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

CON vs DAL.

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

  • Paige BueckersDAL
    18.2± 8.8medium
  • Arike OgunbowaleDAL
    14.8± 11.8medium
  • Jessica ShepardDAL
    13.9± 5.4medium

Rebounds

  • Jessica ShepardDAL
    11.8± 4.2medium
  • Aneesah MorrowCON
    10.2± 5.1medium
  • Brittney GrinerCON
    4.5± 2.6low

Assists

  • Paige BueckersDAL
    6.1± 4.0medium
  • Jessica ShepardDAL
    5.1± 3.5medium
  • Leila LacanCON
    5.0± 2.8low

Blocks

  • Brittney GrinerCON
    1.4± 1.6low
  • Awak KuierDAL
    1.1± 1.2low
  • Azzi FuddDAL
    1.1± 1.3medium

Steals

  • Leila LacanCON
    1.7± 1.5low
  • Azzi FuddDAL
    1.6± 1.6medium
  • Aziaha JamesDAL
    1.4± 1.4medium

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

Matchup · 2026

Team rate stats vs league

wehoop

DAL

DAL

league avg

CON

CON

45.8%

FG%

44.5

42.4%

34.1%

3PT %

33.3

25.9%

87.6

PPG

85.5

78.1

23.1

Assists / G

18.0

18.6

10.3

Turnovers / G

13.0

13.8

Data via ESPN · wehoop