TRANSACTION · MLBPirates: Recalled RHP Antwone Kelly from Indianapolis (IL) (Jul 31)
TRANSACTION · MLBPhillies: Recalled RHP Andrew Painter from Lehigh Valley (IL) (Jul 31)
TRANSACTION · MLBRockies: Reinstated CF Brenton Doyle from the 10-day IL (Jul 31)
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FINAL+11IND
SEA

SEA

1-3

7889
IND

IND

2-2

WNBASun, May 17FinalSeriesIND wins series 3-0VegasIND -11.5
Game flowSEA IND

Biggest swing: 5pp · 1st Quarter · 8:25

WNBA · Seattle Storm at Indiana Fever · final

WNBA · Box scoreTRACKING

Final
box score. Tap a column header to sort by that stat; tap again to reverse, a third time to clear. The team leader in each stat is highlighted. Players who did not play are listed at the bottom.
Player
Starters
1521-50-1023
3063-60-2-652
31197-183-62-2-222
28143-140-48-9-260
29123-70-26-6-1613
Bench
1042-3-510
1852-40-11-4-1623
1731-31-3-540
22133-112-45-6-314
Team7825-716-2322-272417
DNP: K. Samuelson, E. Magbegor, T. Thierry, D. Malonga, T. Mair

Stat compare

Headline stats · full table below

35

FG %

46

17

Ast

22

Team stats

SEA

Away

Stat

IND

Home

25-71

fieldGoalsMade-fieldGoalsAttempted

31-67

35

FG %

46

6-23

threePointFieldGoalsMade-threePointFieldGoalsAttempted

5-21

22-27

freeThrowsMade-freeThrowsAttempted

22-22

3

OR

7

21

DR

31

17

Assists

22

8

Turnovers

17

Season series

IND wins series 3-0

May 17SEASEA78@INDIND89today
Jul 17SEASEA107@INDIND110
Jul 29INDIND105@SEASEA95

Model & market

Vegas line center

DraftKings via ESPN · 21+

Spread

IND -11.5

Between 10 and

Total

176.5

High-scoring · +11.5 vs avg

Moneyline

SEASEA+49017%
INDIND-67587%

15· 6.2h

Implied probabilities back-computed from American odds — break-even win % a moneyline bet needs to be +EV.

Line movement · 200 snapshots

ESPN-tracked · 21+

Spread

11.5

-1.0 since open

Total

176.5

+3.0 since open

How it ended

IND beat SEA 89-78. C. Clark led with 21 PTS, 7 REB, 10 AST. IND outscored the other side 32-19 in the 1st quarter.

Last play

End of Game

Win probability

IND vs SEA

0255075100Q2Q3Q4

Starters vs bench

production by unit
SEASEAstarters 68% of pts

Starters(5)

53 PTS · 16 REB · 10 AST

GS 35

Bench(4)

25 PTS · 8 REB · 7 AST

GS 20

INDINDstarters 66% of pts

Starters(5)

59 PTS · 22 REB · 19 AST

GS 49

Bench(6)

30 PTS · 16 REB · 3 AST

GS 19

Linescore (quarters)

Team1234T
SEA1925142078
IND3223221289

Period scoring

SEA won 2 · IND won 2

19
32

Q1

Cooke 8

Clark 8

25
23

Q2

Hiedeman 6

Clark 9

14
22

Q3

Johnson 4

Cunningham 10

20
12

Q4

Hiedeman 6

Timpson 4

SEA
IND

Shooting comparison

SEA
IND

35%

25-71

FG

46%

31-67

26%

6-23

3PT

24%

5-21

81%

22-27

FT

100%

22-22

Play-by-play · 425 plays

period
event
player
  1. Q4·0.0

    End of Game

    SEA 78·IND 89

  2. Q4·0.0

    End of the 4th Quarter

    SEA 78·IND 89

  3. Q4·3.9

    shot clock turnover

    SEA 78·IND 89

  4. Q4·27.9

    Sophie Cunningham defensive rebound

    SEA 78·IND 89

  5. Q4·27.9

    Flau'jae Johnson misses 3-foot tip shot

    ·

    SEA 78·IND 89

  6. Q4·28.4

    Flau'jae Johnson offensive rebound

    ·

    SEA 78·IND 89

  7. Q4·30.8

    Zia Cooke misses 25-foot three point jumper

    SEA 78·IND 89

  8. Q4·37.9

    Natisha Hiedeman defensive rebound

    SEA 78·IND 89

  9. Q4·39.0

    Flau'jae Johnson blocks Sophie Cunningham 's 24-foot three point jumper

    · ·

    SEA 78·IND 89

  10. Q4·49.7

    Myisha Hines-Allen enters the game for Makayla Timpson

    ·

    SEA 78·IND 89

  11. Q4·49.7

    Jade Melbourne personal foul

    SEA 78·IND 89

  12. Q4·57.7

    Sophie Cunningham defensive rebound

    SEA 78·IND 89

  13. Q4·59.9

    Natisha Hiedeman misses 17-foot pullup jump shot

    SEA 78·IND 89

  14. Q4·1:13

    Sophie Cunningham out of bounds bad pass turnover

    SEA 78·IND 89

  15. Q4·1:24

    Flau'jae Johnson makes free throw 2 of 2

    ·

    SEA 78·IND 89

  16. Q4·1:24

    Zia Cooke enters the game for Lexie Brown

    ·

    SEA 77·IND 89

  17. Q4·1:24

    Storm offensive team rebound

    SEA 77·IND 89

  18. Q4·1:24

    Flau'jae Johnson misses free throw 1 of 2

    ·

    SEA 77·IND 89

  19. Q4·1:24

    Sophie Cunningham shooting foul

    SEA 77·IND 89

  20. Q4·1:30

    Shatori Walker-Kimbrough bad pass turnover (Flau'jae Johnson steals)

    · ·

    SEA 77·IND 89

  21. Q4·1:50

    Makayla Timpson defensive rebound

    SEA 77·IND 89

  22. Q4·1:53

    Natisha Hiedeman misses running pullup jump shot

    SEA 77·IND 89

  23. Q4·1:57

    Lexie Brown defensive rebound

    SEA 77·IND 89

  24. Q4·2:02

    Shatori Walker-Kimbrough misses 17-foot pullup jump shot

    SEA 77·IND 89

  25. Q4·2:08

    Fever offensive team rebound

    SEA 77·IND 89

  26. Q4·2:09

    Flau'jae Johnson blocks Sophie Cunningham 's 23-foot three point jumper

    · ·

    SEA 77·IND 89

  27. Q4·2:11

    Makayla Timpson offensive rebound

    SEA 77·IND 89

  28. Q4·2:13

    Raven Johnson misses 23-foot three point jumper

    ·

    SEA 77·IND 89

  29. Q4·2:23

    Fever Full timeout

    SEA 77·IND 89

  30. Q4·2:26

    Natisha Hiedeman makes 27-foot three pointer (Jade Melbourne assists)

    ·

    SEA 77·IND 89

Betting line

IND -11.5·O/U 176.5·SEA +490/IND -675

DraftKings · via ESPN

Recap · WNBA

ndiana Fever held off Seattle Storm, 89–78.

SEA +11.5 cashed (IND won by 11). Total stayed UNDER 176.5 by 9.5.

ByTheOnemodel/auto-generated · live odds + scouting data/refreshes with the page

Four factors · this game

Who won the possession battle

Dean Oliver’s four factors from this game’s box score — shooting, turnovers, offensive rebounding, free throws.

SEASEA
INDIND

eFG%

shooting

39.4%
50.0%

TOV%

ball control

8.8%
18.1%

OREB%

offensive glass

8.8%
25.0%

FT rate

free throws / FGA

31.0%
32.8%

WNBA · Tonight’s standouts

5 of 16 players in cohort
  • Caitlin ClarkIND · G
    USG%.30497
  • Stefanie DolsonSEA · C
    TS%.64588
  • Kelsey MitchellIND · G
    USG%.26287
  • Natisha HiedemanSEA · G
    USG%.25484
  • Flau'jae JohnsonSEA · G
    USG%.25283

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.

68.4%

ensemble · IND favored

  • Elo Static

    68.6%

    P(IND win)

    33%

    weight

  • Elo Recent

    72.7%

    P(IND win)

    34%

    weight

  • Pace Efficiency

    73.6%

    P(IND win)

    33%

    weight

Disagreement

2.17 pp

weighted σ across sub-models

Confidence

86% · high

maps from disagreement

Substrate count

3 / 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.

The receipts

Closing-line value.

+0.54

CLV pp

Open price

+425

Close price

+410

Open no-vig

18.3%

Close no-vig

18.8%

Market came to the model · Graded: miss

How we read this game

Which side does The One Analytics' model favor in SEA at IND?
The model favors SEA, based on a weighted edge across matchup factors. The pick is logged before the game and graded in public.
When is the pick logged, and can it change?
Every model pick is timestamped before the game starts and is never edited after the fact.

Line shopping · 1 book

Where to bet this game.

Same model, different prices. The same moneyline can vary 25¢ across books — taking the worst price wipes out a real edge instantly. Star marks the best-paying book per side.

+18.8pp

best edge · SEA · DraftKings

SEA

★ best
+490DraftKings

edge +18.8pp · implied 16.3%

IND

no live price

BookSEAINDBest edge
DraftKings+490-675+18.8

Edges shown are model probability minus no-vig implied probability for that side at that book. Stars mark the highest-paying cell per side. Lines refresh every 60 seconds.

Player projections

IND vs SEA.

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 · 100 high confidence

Points

  • Kelsey MitchellIND
    25.6± 3.6high
  • Caitlin ClarkIND
    21.1± 10.9high
  • Natisha HiedemanSEA
    16.6± 8.6high

Rebounds

  • Dominique MalongaSEA
    9.5± 3.3high
  • Aliyah BostonIND
    7.2± 3.3high
  • Awa FamSEA
    6.6± 2.6high

Assists

  • Caitlin ClarkIND
    7.3± 2.4high
  • Natisha HiedemanSEA
    4.4± 2.5high
  • Jade MelbourneSEA
    3.8± 1.0high

Blocks

  • Awa FamSEA
    1.3± 0.7high
  • Dominique MalongaSEA
    1.2± 1.2high
  • Aliyah BostonIND
    0.9± 1.0high

Steals

  • Flau'jae JohnsonSEA
    1.7± 1.2high
  • Kelsey MitchellIND
    1.5± 1.4high
  • Natisha HiedemanSEA
    1.3± 1.5high

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

Data via ESPN · wehoop