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Portland Fire at Golden State Valkyries

POR
POR

POR

8-10

PregameFri, 10:00 PM EDT
GS
GS

GS

11-7

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, Sep 189/18 - 10:00 PM EDTSeriesGS leads series 1-0

Preview · WNBA

ortland Fire visit Golden State Valkyries Friday at 9/18 - 10:00 PM EDT. GS 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

POR

Away

Stat

GS

Home

44

FG %

41

Season series

GS leads series 1-0

Jun 3PORPOR77@GSGS95
Aug 30GSGS@PORPORupcoming
Sep 19PORPOR@GSGStoday
Sep 23GSGS@PORPORupcoming

Scouting report

POR @ GS

9/18 - 10:00 PM EDT

Tale of the tape

PORmetricGS

8-10

Record

11-7

#6

Conf rank

#3

-6.8

Pt diff

+4.8

L1

Streak

W1

3-7

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.

53.4%

ensemble · GS favored

  • Elo Static

    fallback · inputs missing

    50.0%

    P(GS win)

    33%

    weight

  • Elo Recent

    fallback · inputs missing

    50.0%

    P(GS win)

    33%

    weight

  • Pace Efficiency

    fallback · inputs missing

    50.0%

    P(GS 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

GS vs POR.

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.

120

projections · 0 high confidence

Points

  • Gabby WilliamsGS
    16.9± 9.0medium
  • Carla LeitePOR
    12.9± 5.2medium
  • Janelle SalaunGS
    12.6± 6.4medium

Rebounds

  • Kayla ThorntonGS
    5.6± 3.1medium
  • Emily EngstlerPOR
    5.3± 3.0medium
  • Kiah StokesGS
    4.9± 1.7medium

Assists

  • Carla LeitePOR
    6.1± 3.4medium
  • Veronica BurtonGS
    5.2± 3.1medium
  • Teja OblakPOR
    3.0± 2.8low

Blocks

  • Emily EngstlerPOR
    1.7± 1.1medium
  • Kiah StokesGS
    1.5± 1.4medium
  • Laeticia AmihereGS
    0.9± 1.1medium

Steals

  • Gabby WilliamsGS
    1.4± 0.6medium
  • Emily EngstlerPOR
    1.4± 1.4medium
  • Bridget CarletonPOR
    1.3± 1.3medium

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

Matchup · 2026

Team rate stats vs league

wehoop

POR

POR

league avg

GS

GS

44.2%

FG%

44.9

40.9%

34.4%

3PT %

33.4

35.8%

82.0

PPG

86.3

83.4

19.8

Assists / G

18.0

18.4

14.6

Turnovers / G

13.0

10.3

Data via ESPN · wehoop