Free during beta —to track favorites + alerts

Connecticut Sun at Dallas Wings

CON
CON

CON

2-15

PregameSun, 7:00 PM EDT
DAL
DAL

DAL

9-6

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.

WNBASun, Aug 28/2 - 7:00 PM EDTSeriesstarts 7/2

Preview · WNBA

onnecticut Sun visit Dallas Wings Sunday at 8/2 - 7:00 PM EDT. DAL is 4-3 in their last 7.

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

DAL

Home

42

FG %

46

Season series

Series starts 7/2

Jul 3DALDAL@CONCONupcoming
Aug 2CONCON@DALDALtoday
Aug 31CONCON@DALDALupcoming

Scouting report

CON @ DAL

8/2 - 7:00 PM EDT
StorylineCON dropped 7 straight.

Tale of the tape

CONmetricDAL

2-15

Record

9-6

#7

Conf rank

#4

-10.6

Pt diff

+4.9

L7

Streak

L1

1-9

Last 10

6-4

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.

43.1%

ensemble · CON favored

  • Elo Static

    fallback · inputs missing

    50.0%

    P(DAL win)

    33%

    weight

  • Elo Recent

    fallback · inputs missing

    50.0%

    P(DAL win)

    32%

    weight

  • Pace Efficiency

    fallback · inputs missing

    50.0%

    P(DAL 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

DAL 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

  • 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
    10.1± 5.0medium
  • Brittney GrinerCON
    4.8± 3.0low

Assists

  • Paige BueckersDAL
    6.1± 4.0medium
  • Jessica ShepardDAL
    5.1± 3.5medium
  • Leila LacanCON
    4.8± 2.8low

Blocks

  • Brittney GrinerCON
    1.5± 1.6low
  • Awak KuierDAL
    1.1± 1.2low
  • Azzi FuddDAL
    1.1± 1.3medium

Steals

  • Leila LacanCON
    1.6± 1.4low
  • 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

CON

CON

league avg

DAL

DAL

42.6%

FG%

44.6

45.8%

26.0%

3PT %

33.4

34.1%

79.2

PPG

85.7

87.6

18.7

Assists / G

18.0

23.1

13.4

Turnovers / G

13.0

10.3

Data via ESPN · wehoop