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

The model favors MIL, 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.

Seattle Mariners vs Milwaukee Brewers: MLB Prediction, Pick & Odds — Aug 20, 2026

SEA

60-67

PregameThu, 2:10 PM EDTMLB.TV

MIL

78-49

ATS/MIL -1.5O/U/8ML/MIL-121

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.

Why this matchup

1 signal · model + market

Recent form

5-5

MIL +1.6 vs SEA -2.8 margin

MIL brings the hotter last-ten margin into this matchup tonight with balance.

American Family Field · Milwaukee, Wisconsin

Line movement

200 snapshots

MIL spread

-1.5

open PK · -1.5

Total

O/U 8.0

open O/U 8.0

MIL no-vig %

54.2%

open 54.1% · +0.1

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

Drill down

Sub-model tables · ensemble breakdown · last meeting · book shop · player props

Pregame · scouting report

The matchup, end-to-end.

Probable starters, projected lineups, head-to-head this season, our model edge against the market — every angle on one surface.

Away starter

George Kirby

SP · #68

8-9

W-L

3.89

ERA

1.31

WHIP

114

136.2

Last 3 starts

@HOU-4.2 IP5 ER2 K

vsTB-5.0 IP1 ER2 K

vsMIN-7.0 IP0 ER3 K

Home starter

Robert Gasser

SP · #54

3-5

W-L

4.54

ERA

1.24

WHIP

73.1

Last 3 starts

@LADL(3-5)6.1 IP3 ER7 K

vsMIN-4.2 IP3 ER3 K

@LAA-5.0 IP1 ER6 K

Vegas line

Spread-1.5

TotalO/U 8

Money+112 / -121

Model edge

Win prob39% / 61%

LeanHome · 11pp

ConfidenceEdge

Head to head

SeriesSeries tied 1-1

TypeCurrent Series

Place a bet

Take MIL on the model side.

Our model leans this way; both DraftKings and FanDuel are open below.

Model side · moneyline

-121Bet MIL ML↗-121Bet MIL ML↗

Other markets

-1.5Bet the run line↗-1.5Bet the run line↗

O/U 8Bet the total↗O/U 8Bet the total↗

21+ in most states. Lines refreshed at the moment of fetch. We may earn a referral fee on book signups — your odds and terms are unchanged.

Scouting report · pre-game

MIL vs SEA.

MIL is 5-5 recently; SEA is 4-6.

60.6%

model · MIL win prob

Recent form

MIL5–5+1.6
SEA4–6-2.8

Situational

MIL1d restB2B
SEA1d restB2B
+0.0d differential

Rest is even. MIL has 0 straight road games; SEA has 8.

Model angle

+6.9ppon MIL

MIL's edge is mostly model confidence plus venue split. Head to head is the main caution flag. Weather and park add about 0.1 runs from the total environment.

▲Weather + park+0.1pp
▲Model confidence+3.0pp
▲Venue split+2.2pp

Players to watch

Jacob MisiorowskiMIL
9.3strikeouts · ±2.8
Jacob Misiorowski · 9.3 K · last-10 9.4 vs season 9.1.
Logan GilbertSEA
6.4strikeouts · ±1.7
Logan Gilbert · 6.4 K · last-10 6.5 vs season 6.3.
Kyle HarrisonMIL
6.1strikeouts · ±3.5
Kyle Harrison · 6.1 K · last-10 6.1 vs season 6.1.

Head-to-head · 1-1 · last 2

MIL is 1-1 in the recent head-to-head sample.

2026-08-18SEA @ MIL0–22
2026-08-19SEA @ MIL7–5

Line move

open -131→-131flat

The home moneyline has stayed mostly flat.

Aggregated from r107 anatomy · r109 CLV history · r112 calibration · r118 line moves · r124 player projections · refreshes every 5 minutes

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.

60.5%

ensemble · MIL favored

Elo Static
61.7%
P(MIL win)
33%
weight
Elo Pitching
60.9%
P(MIL win)
33%
weight
Bullpen Park
61.9%
P(MIL win)
34%
weight

Disagreement

0.43 pp

weighted σ across sub-models

Confidence

97% · 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

Why we like MIL.

MIL's edge is mostly model confidence plus venue split. Head to head is the main caution flag.

+6.9

pp edge · MIL

-0.40

CLV pp

2.8u · large

on MIL

59.9%

±5.8pp band

2.84u large — +5.1pp edge, quarter Kelly.

Edge

+6.2pp

-0.7pp post-cal

Kelly

11.4%

2.8% sized

Decimal

1.83

+5.1pp vs price

Contributor breakdown · sums to 6.9pp · MIL over SEA

▲
Model confidence90% conf
MIL clears the model's lock threshold.
+3.0pp
▲
Venue split68% conf
MIL's venue form is 21.2pp stronger in the recent sample.
+2.2pp
▲
Travel burden58% conf
SEA is carrying the heavier road load into this matchup.
+2.2pp
▼
Head to head48% conf
SEA has controlled the recent head-to-head sample.
-0.4pp

Open price

-131

Close price

-121

Open no-vig

54.1%

Close no-vig

53.7%

Line barely moved

How we read this game

Which side does The One Analytics' model favor in SEA at MIL?: The model favors MIL, 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.

+6.9pp

best edge · MIL · DraftKings

SEA

no live price

MIL

★ best

-121DraftKings

edge +6.9pp · implied 53.7%

Book	SEA	MIL	Best edge
DraftKings	+112	-121★	+6.9

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

MIL 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.

130

projections · 116 high confidence

Strikeouts

Jacob MisiorowskiMIL
9.3± 2.8high
Logan GilbertSEA
6.4± 1.7high
Logan HendersonMIL
6.3± 2.2low

Hits

Josh NaylorSEA
1.3± 1.0high
Jackson ChourioMIL
1.2± 1.3high
Dominic CanzoneSEA
1.2± 0.8high

Total bases

Josh NaylorSEA
2.0± 2.9high
Jackson ChourioMIL
1.9± 1.8high
Jake BauersMIL
1.9± 2.3high

RBIs

Jake BauersMIL
0.7± 0.9high
Joey OrtizMIL
0.7± 1.3high
Brice TurangMIL
0.6± 0.8high

Earned runs

Dustin MayMIL
2.8± 2.6high
Bryce MillerSEA
2.8± 2.1medium
Robert GasserMIL
2.5± 2.6low

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

Matchup · 2026

Team rate stats vs league

MLB Stats API

SEA

league avg

MIL

.687

OPS

.719

▶

.733

.310

OBP

.318

▶

.337

3.91

Runs / G

4.50

▶

5.00

3.97

Team ERA

4.17

▶

3.46

1.22

WHIP

1.30

▶

1.16

8.6

K / 9

8.5

▶

9.8

The One modelEdge

Thu, Aug 20

SEA

Mariners

71-83

vs60.6%MIL

MIL★

Brewers

82-63

SEA 39.4%win prob60.6% MIL

MIL 1534 · SEA 1475Box score→

Team pages

Seattle MarinersMilwaukee Brewers

Elsewhere in the MLB

Data via ESPN · MLB Stats API · Baseball Savant

Seattle Mariners at Milwaukee Brewers

The matchup, end-to-end.

Take MIL on the model side.

MIL vs SEA.

3 sub-models, blended.

Why we like MIL.

Where to bet this game.

MIL vs SEA.

Team rate stats vs league

Where to bet this game.

Why we like MIL.