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Golden State Valkyries at Portland Fire

GS
GS

GS

11-7

PregameTue, 10:00 PM EDT
POR
POR

POR

8-11

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.

WNBATue, Sep 229/22 - 10:00 PM EDTSeriesGS leads series 1-0

Preview · WNBA

olden State Valkyries visit Portland Fire Tuesday at 9/22 - 10:00 PM EDT. GS is 6-3 in their last 9.

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

POR

Home

41

FG %

44

Season series

GS leads series 1-0

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

Scouting report

GS @ POR

9/22 - 10:00 PM EDT

Tale of the tape

GSmetricPOR

12-7

Record

8-11

#3

Conf rank

#6

+4.7

Pt diff

-8.0

W2

Streak

L2

6-4

Last 10

3-7

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 · POR favored

  • Elo Static

    fallback · inputs missing

    50.0%

    P(POR win)

    33%

    weight

  • Elo Recent

    fallback · inputs missing

    50.0%

    P(POR win)

    33%

    weight

  • Pace Efficiency

    fallback · inputs missing

    50.0%

    P(POR 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

POR 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.

120

projections · 40 high confidence

Points

  • Gabby WilliamsGS
    17.4± 8.2medium
  • Carla LeitePOR
    13.4± 5.5medium
  • Bridget CarletonPOR
    12.9± 8.1medium

Rebounds

  • Emily EngstlerPOR
    5.5± 2.3high
  • Kayla ThorntonGS
    5.2± 2.8high
  • Kiah StokesGS
    4.8± 1.5high

Assists

  • Carla LeitePOR
    6.1± 3.4medium
  • Veronica BurtonGS
    4.8± 2.5high
  • Teja OblakPOR
    2.8± 3.1low

Blocks

  • Kiah StokesGS
    1.9± 2.1high
  • Emily EngstlerPOR
    1.7± 0.8high
  • Laeticia AmihereGS
    0.8± 1.1medium

Steals

  • Gabby WilliamsGS
    1.5± 0.6medium
  • Emily EngstlerPOR
    1.5± 1.1high
  • Veronica BurtonGS
    1.4± 1.3high

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

POR

POR

40.9%

FG%

44.9

44.2%

35.8%

3PT %

33.4

34.4%

83.4

PPG

86.3

82.0

18.4

Assists / G

18.0

19.8

10.3

Turnovers / G

13.0

14.6

Data via ESPN · wehoop