Free during beta —to track favorites + alerts

Indiana Fever at Portland Fire

IND
IND

IND

9-7

PregameFri, 10:00 PM EDT
POR
POR

POR

8-9

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, Jul 317/31 - 10:00 PM EDTSeriestied 1-1

Preview · WNBA

ndiana Fever visit Portland Fire Friday at 7/31 - 10:00 PM EDT. IND is 5-4 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

IND

Away

Stat

POR

Home

46

FG %

45

Season series

Series tied 1-1

May 20PORPOR73@INDIND90
May 31INDIND84@PORPOR100
Aug 1INDIND@PORPORtoday

Scouting report

IND @ POR

7/31 - 10:00 PM EDT

Tale of the tape

INDmetricPOR

9-7

Record

8-9

#3

Conf rank

#5

+2.7

Pt diff

-5.9

L2

Streak

W1

5-5

Last 10

4-6

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.

44.5%

ensemble · IND favored

  • Elo Static

    fallback · inputs missing

    50.0%

    P(POR win)

    33%

    weight

  • Elo Recent

    fallback · inputs missing

    50.0%

    P(POR win)

    31%

    weight

  • Pace Efficiency

    fallback · inputs missing

    50.0%

    P(POR 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

POR vs IND.

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

  • Kelsey MitchellIND
    19.9± 5.4medium
  • Caitlin ClarkIND
    19.8± 9.1medium
  • Aliyah BostonIND
    17.2± 7.6medium

Rebounds

  • Aliyah BostonIND
    8.6± 2.3medium
  • Emily EngstlerPOR
    5.2± 3.4medium
  • Monique BillingsIND
    4.4± 3.2medium

Assists

  • Caitlin ClarkIND
    7.6± 3.2medium
  • Carla LeitePOR
    5.9± 3.6medium
  • Teja OblakPOR
    3.4± 2.5low

Blocks

  • Emily EngstlerPOR
    1.9± 0.9medium
  • Aliyah BostonIND
    1.4± 1.6medium
  • Makayla TimpsonIND
    0.9± 1.1medium

Steals

  • Bridget CarletonPOR
    1.4± 1.2medium
  • Emily EngstlerPOR
    1.3± 1.4medium
  • Aliyah BostonIND
    0.9± 0.9medium

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

Matchup · 2026

Team rate stats vs league

wehoop

IND

IND

league avg

POR

POR

46.2%

FG%

44.6

44.6%

34.3%

3PT %

33.4

34.1%

92.2

PPG

85.7

82.2

20.9

Assists / G

18.0

19.8

15.3

Turnovers / G

13.0

14.8

Data via ESPN · wehoop