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

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.

Kansas City Royals vs Los Angeles Angels: MLB Prediction, Pick & Odds — Aug 14, 2026

49-73

PregameFri, 9:38 PM EDTMLB.TV

LAA

48-74

ATS/KC -1.5O/U/8.5ML/KC-109

Probable starters

The mound matchup

Combined ERA 11.61

S. Lugo

5-7 · 4.41 ERA

G. Rodriguez

3-5 · 7.20 ERA

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

3 signals · model + market

Starter edge

4.41 ERA

Seth Lugo vs Grayson Rodriguez - 7.20 ERA

Lugo owns the sharper run-prevention profile, giving KC cleaner opening script tonight.

Park factor

98 total idx

Angel Stadium run environment

Park factor boosts run scoring, so contact quality matters more tonight here.

Recent form

5-5

LAA -0.9 vs KC -1.2 margin

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

Angel Stadium · Anaheim, California

Line movement

200 snapshots

LAA spread

-1.5

open PK · -1.5

Total

O/U 9.0

open O/U 9.0

LAA no-vig %

50.0%

open 50.4% · -0.4

Stepped lines reflect captured market snapshots from odds_snapshots. Spread sign convention: negative = LAA 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

Seth Lugo

SP · #67

5-7

W-L

4.41

ERA

1.37

WHIP

104

134.2

Last 3 starts

vsCHCW(5-7)6.0 IP3 ER5 K

@COLL(4-7)5.0 IP5 ER3 K

@MIN-6.0 IP1 ER2 K

Home starter

Grayson Rodriguez

SP · #21

3-5

W-L

7.20

ERA

1.62

WHIP

55.0

Last 3 starts

@MIAL(3-5)4.0 IP3 ER8 K

@BALL(3-4)7.0 IP2 ER6 K

vsHOU-5.0 IP2 ER6 K

Vegas line

Spread-1.5

TotalO/U 8.5

Money-109 / +101

Model edge

Win prob55% / 45%

LeanAway · 5pp

ConfidenceLean

Head to head

SeriesLAA win series 2-0

TypePreseason Series

Place a bet

Take KC on the model side.

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

Model side · moneyline

-109Bet KC ML↗-109Bet KC ML↗

Other markets

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

O/U 8.5Bet the total↗O/U 8.5Bet 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

LAA vs KC.

LAA enters on a 3-game win streak; KC is 3-7 over its last 10.

45.0%

model · LAA win prob

Recent form

LAA5–5-0.9
KC3–7-1.2

Situational

LAA1d restB2B
KC2d rest
-1.0d differential

KC has 1 more rest day. LAA has 0 straight road games; KC has 3.

Model angle

+3.8ppon KC

KC's edge is mostly model confidence plus head to head. Recent form is the main caution flag. Weather and park remove about 0.2 runs from the total environment.

▼Weather + park-0.2pp
▲Model confidence+0.9pp
▼Recent form-0.8pp

Players to watch

Reid DetmersLAA
6.1strikeouts · ±1.8
Reid Detmers · 6.1 K · last-10 5.9 vs season 6.5.
Noah CameronKC
5.3strikeouts · ±3.3
Noah Cameron · 5.3 K · last-10 5.4 vs season 5.1.
Michael WachaKC
4.7strikeouts · ±2.1
Michael Wacha · 4.7 K · last-10 4.7 vs season 4.8.

Line move

open -112→-110toward KC

The market has moved 0.4pp toward the away side.

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.

42.6%

ensemble · KC favored

Elo Static
46.5%
P(LAA win)
33%
weight
Elo Pitching
43.2%
P(LAA win)
33%
weight
Bullpen Park
45.9%
P(LAA win)
34%
weight

Disagreement

1.43 pp

weighted σ across sub-models

Confidence

91% · 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 KC.

KC's edge is mostly model confidence plus head to head. Recent form is the main caution flag.

+3.8

pp edge · KC

+0.43

CLV pp

2.9u · large

on KC

57.7%

±4.3pp band

2.89u large — +5.5pp edge, quarter Kelly.

Edge

+6.5pp

+2.7pp post-cal

Kelly

11.6%

2.9% sized

Decimal

1.92

+5.5pp vs price

Contributor breakdown · sums to 3.8pp · KC over LAA

▲
Model confidence82% conf
KC grades as a real model edge, not just noise.
+0.9pp
▼
Recent form70% conf
LAA's recent form is stronger over the last 5.
-0.8pp
▼
Travel burden58% conf
KC is carrying the heavier road load, so the edge gets a haircut.
-0.8pp
▼
Venue split72% conf
LAA's venue form trims KC's edge by 11.4pp.
-0.6pp
▲
Head to head48% conf
KC has taken 3 of the last 3 meetings.
+0.6pp
▲
Rest advantage65% conf
KC has 2 days rest; LAA has 1.
+0.1pp

Open price

-108

Close price

-110

Open no-vig

49.6%

Close no-vig

50.0%

Line barely moved

How we read this game

Which side does The One Analytics' model favor in KC at LAA?: 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.

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.

+3.8pp

best edge · KC · DraftKings

★ best

-109DraftKings

edge +3.8pp · implied 51.2%

LAA

no live price

Book	KC	LAA	Best edge
DraftKings	-109★	+101	+3.8

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

LAA 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 · 99 high confidence

Strikeouts

Reid DetmersLAA
6.1± 1.8high
Noah CameronKC
5.3± 3.3high
Michael WachaKC
4.7± 2.1high

Hits

Jac CaglianoneKC
1.4± 0.9high
Bobby Witt Jr.KC
1.2± 1.2high
Wade MecklerLAA
1.1± 0.6high

Total bases

Jac CaglianoneKC
2.5± 3.4high
Bobby Witt Jr.KC
1.6± 1.6high
Mike TroutLAA
1.5± 1.8high

RBIs

Jac CaglianoneKC
0.8± 1.4high
Luke MaileKC
0.7± 1.5low
Salvador PerezKC
0.6± 0.7high

Earned runs

Grayson RodriguezLAA
3.4± 2.7low
Noah CameronKC
3.0± 2.6high
Seth LugoKC
3.0± 2.1high

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

LAA

.705

OPS

◀

.719

.688

.311

OBP

.318

.311

4.12

Runs / G

4.50

4.10

4.84

Team ERA

4.17

▶

4.43

1.43

WHIP

1.30

▶

1.36

7.6

K / 9

8.5

▶

9.1

The One modelLean

Fri, Aug 14

KC★

Royals

61-81

vs55.0%KC

LAA

Angels

56-89

KC 55.0%win prob45.0% LAA

KC 1465 · LAA 1417Box score→

Team pages

Kansas City RoyalsLos Angeles Angels

Elsewhere in the MLB

Data via ESPN · MLB Stats API · Baseball Savant

Kansas City Royals at Los Angeles Angels

The mound matchup

The matchup, end-to-end.

Take KC on the model side.

LAA vs KC.

3 sub-models, blended.

Why we like KC.

Where to bet this game.

LAA vs KC.

Team rate stats vs league

Where to bet this game.

3 sub-models, blended.

Why we like KC.