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Golden State Valkyries at Dallas Wings

GS
GS

GS

10-6

PregameFri, 9:30 PM EDT
DAL
DAL

DAL

10-6

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.

WNBAFri, Aug 78/7 - 9:30 PM EDTSeriesGS leads series 1-0

Preview · WNBA

olden State Valkyries visit Dallas Wings Friday at 8/7 - 9:30 PM EDT. GS is 5-4 in their last 9. 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

Team stats

GS

Away

Stat

DAL

Home

41

FG %

46

Season series

GS leads series 1-0

Jun 18DALDAL80@GSGS91
Aug 8GSGS@DALDALtoday
Aug 18DALDAL@GSGSupcoming

Scouting report

GS @ DAL

8/7 - 9:30 PM EDT

Model edge vs market

Lean only
Spread

Market

Model

DAL -5.8

Edge

Total

Market

Model

On the roadmap

Edge

Moneyline

Market

Model

DAL

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

GSmetricDAL

10-6

Record

10-6

#3

Conf rank

#4

+5.8

Pt diff

+4.6

L1

Streak

W1

6-4

Last 10

7-3

58.5

Power score

64.3

#7

Power rank

#5

79.5

Sched ahead

85.3

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.

42.8%

ensemble · GS 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 GS.

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

  • Paige BueckersDAL
    18.0± 8.5medium
  • Gabby WilliamsGS
    17.2± 8.3medium
  • Arike OgunbowaleDAL
    15.3± 10.7medium

Rebounds

  • Jessica ShepardDAL
    11.6± 4.5medium
  • Kayla ThorntonGS
    5.5± 3.3medium
  • Kiah StokesGS
    5.1± 1.7medium

Assists

  • Paige BueckersDAL
    6.4± 3.9medium
  • Veronica BurtonGS
    5.3± 2.7medium
  • Jessica ShepardDAL
    5.2± 3.4medium

Blocks

  • Kiah StokesGS
    1.6± 1.6medium
  • Azzi FuddDAL
    1.3± 1.6medium
  • Awak KuierDAL
    1.1± 1.1low

Steals

  • Azzi FuddDAL
    1.6± 1.6medium
  • Gabby WilliamsGS
    1.5± 0.8medium
  • Aziaha JamesDAL
    1.2± 1.3medium

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

Matchup · 2026

Team rate stats vs league

wehoop

GS

GS

league avg

DAL

DAL

40.6%

FG%

44.6

45.7%

36.3%

3PT %

33.5

34.4%

84.4

PPG

85.9

87.9

18.9

Assists / G

18.0

22.7

10.2

Turnovers / G

13.0

10.5

Data via ESPN · wehoop