Which side does The One Analytics' model favor in KC at SEA?

The model favors KC, 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.

How is the pick graded?

In public, the moment the game goes final — wins and losses alike, with the full record on the model accuracy page.

Kansas City Royals vs Seattle Mariners: Final Score & Box Score — May 1, 2026

FINAL+1KC

13-19

SEA

16-17

T-Mobile Park · Seattle, Washington

36,384 attended

Line movement

69 snapshots

SEA spread

-1.5

open -1.5

Total

O/U 7.0

open O/U 7.0

SEA no-vig %

55.1%

open 57.2% · -2.1

Stepped lines reflect captured market snapshots from odds_snapshots. Spread sign convention: negative = SEA favored. Live mode caps the in-game branch to the last 60 minutes.

Logged before first pitch · graded in public

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.

55.2%

ensemble · SEA favored

Elo Static
55.3%
P(SEA win)
33%
weight
Elo Pitching
56.3%
P(SEA win)
32%
weight
Bullpen Park
53.4%
P(SEA win)
34%
weight

Disagreement

1.21 pp

weighted σ across sub-models

Confidence

92% · 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.

+2.06

CLV pp · steam

Open price

+123

Close price

+113

Open no-vig

42.8%

Close no-vig

44.9%

Market steamed in our direction · Graded: hit

Logged before tip · graded in public

How we read this game

Which side does The One Analytics' model favor in KC at SEA?: The model favors KC, 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.
How is the pick graded?: In public, the moment the game goes final — wins and losses alike, with the full record on the model accuracy page.

Player projections

SEA vs KC.

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.

130

projections · 89 high confidence

Strikeouts

Logan GilbertSEA
6.4± 2.4medium
Bryan WooSEA
6.1± 3.6medium
Bryce MillerSEA
6.1± 2.8low

Hits

Bobby Witt Jr.KC
1.4± 1.1high
Carter JensenKC
1.3± 1.0high
Jac CaglianoneKC
1.0± 0.9high

Total bases

Carter JensenKC
2.3± 2.3high
John RaveKC
2.3± 4.5low
Jac CaglianoneKC
2.1± 2.6high

RBIs

Carter JensenKC
0.7± 0.9high
Maikel GarciaKC
0.7± 1.0high
Dominic CanzoneSEA
0.7± 1.1high

Earned runs

Bryan WooSEA
2.9± 3.5medium
George KirbySEA
2.9± 1.6medium
Michael WachaKC
2.8± 2.0medium

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

Matchup · 2026

Team rate stats vs league

MLB Stats API

league avg

SEA

.713

OPS

◀

.718

.700

.320

OBP

◀

.319

.313

4.22

Runs / G

◀

4.50

4.13

4.53

Team ERA

4.18

▶

3.62

1.39

WHIP

1.31

▶

1.18

7.9

K / 9

8.5

▶

8.9

Postgame · final

The morning-after recap.

Line score, top performers, model verdict against Vegas, and how the closing line shaped up vs the actual outcome.

Final

KC wins

KC 7 · SEA 6 (by 1)

Model verdict

✗ Missed

Picked SEA +5pp

Against the spread

No spread

Line score

Inning by inning

Team	1	2	3	4	5	6	7	8	9	R
KC	4	0	0	0	0	2	0	1	0	7
SEA	2	0	0	0	1	1	2	0	0	6

Final play

“End of the 9th inning”

What's next

Tomorrow's slate is open.

See every model edge for tonight's remaining games and tomorrow's slate side-by-side, or jump straight to DraftKings & FanDuel for the full board.

MLB edges →Full slate →

Tomorrow's board↗Tomorrow's board↗

21+ · we may earn a referral fee · your odds unchanged.

Data via ESPN · MLB Stats API · Baseball Savant

batting 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
M. Garcia3B	.274	4	1	1	0	0	1	1
B. Witt Jr.SS	.288	4	1	1	0	0	1	1
V. Pasquantino1B	.176	5	2	2	2	1	0	2
S. PerezC	.210	4	2	2	2	0	0	1
C. JensenC	.245	4	0	0	0	0	0	0
J. CaglianoneRF	.253	3	1	1	1	1	0	0
I. CollinsLF	.217	4	0	1	1	0	0	1
M. Massey2B	.222	4	0	1	0	0	0	0
K. IsbelCF	.276	4	0	0	0	0	0	1
L. ThomasCF	.246	1	0	1	1	0	0	0
Team		37	7	10	7	2	2	7

Player

.274

.288

.176

.210

.245

.253

.217

.222

.276

.246

Team

pitching 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
C. RagansSP	5.1	4	4	4	3	8	95
N. MearsRP	0.2	0	0	0	1	0	15
D. Lynch IVRP	1.0	2	2	2	0	2	25
M. StrahmRP	1.0	0	0	0	1	2	14
L. ErcegRP	1.0	0	0	0	0	1	12
Team	9.0	6	6	6	5	13	161

Player

5.1

0.2

1.0

1.0

1.0

Team

9.0

161

batting 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
J.P. CrawfordSS	.202	4	2	1	0	0	1	1
C. RaleighC	.186	4	0	0	0	0	1	2
J. RodriguezCF	.262	4	2	2	4	2	0	2
J. Naylor1B	.214	4	0	1	0	0	0	1
R. ArozarenaLF	.288	4	1	1	1	1	0	3
M. GarverC	.194	2	0	0	0	0	2	1
C. Young2B	.276	4	0	0	0	0	0	0
C. JoeRF	.250	2	1	1	1	1	0	0
L. Rivas3B	.143	3	0	0	0	0	1	2
L. RaleyRF	.244	0	0	0	0	0	0	0
D. CanzoneDH	.275	2	0	0	0	0	0	1
Team		33	6	6	6	4	5	13

pitching 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
B. WooSP	6.0	7	6	6	0	2	84
C. WilcoxRP	1.0	0	0	0	2	1	20
J. FerrerRP	1.0	3	1	1	0	1	15
A. HoppeRP	1.0	0	0	0	0	3	15
Team	9.0	10	7	7	2	7	134

Team

SEA

3 sub-models, blended.

Closing-line value.

SEA vs KC.

Team rate stats vs league

The morning-after recap.

Inning by inning

Tomorrow's slate is open.

Closing-line value.

Batters

Pitchers

Batters

Pitchers

SEA vs KC.

3 sub-models, blended.