San Francisco Giants vs Kansas City Royals: MLB Prediction, Pick & Odds — Jul 21, 2026

31-43

PregameTue, 7:40 PM EDT

31-45

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.

Kauffman Stadium · Kansas City, Missouri

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

TBD

Probable starter not yet announced. ESPN typically posts the card 12–24 hours before first pitch.

Home starter

TBD

Probable starter not yet announced. ESPN typically posts the card 12–24 hours before first pitch.

Vegas line

Lines post once a sportsbook releases them.

Model edge

Our model rates this game once both starters are confirmed.

Head to head

SeriesSF wins series 2-0

TypePreseason Series

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.

48.3%

ensemble · SF favored

Elo Static
fallback · inputs missing
50.0%
P(KC win)
33%
weight
Elo Pitching
fallback · inputs missing
50.0%
P(KC win)
32%
weight
Bullpen Park
fallback · inputs missing
50.0%
P(KC win)
34%
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

KC vs SF.

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.

127

projections · 78 high confidence

Strikeouts

Landen RouppSF
5.8± 2.1low
Logan WebbSF
5.3± 1.8low
Noah CameronKC
5.2± 2.9low

Hits

Bobby Witt Jr.KC
1.4± 1.1high
Luis ArraezSF
1.4± 0.8high
Bryce EldridgeSF
1.3± 0.8high

Total bases

Bryce EldridgeSF
2.4± 2.1high
Carter JensenKC
2.2± 2.3high
Luis ArraezSF
2.2± 1.6high

RBIs

Carter JensenKC
0.8± 0.9high
Bryce EldridgeSF
0.8± 1.1high
Matt ChapmanSF
0.8± 1.1high

Earned runs

Adrian HouserSF
2.9± 2.7low
Michael WachaKC
2.8± 2.0medium
Seth LugoKC
2.8± 3.0low

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

.730

OPS

◀

.718

.710

.309

OBP

.319

▶

.320

4.19

Runs / G

◀

4.50

4.14

4.48

Team ERA

4.18

4.48

1.40

WHIP

1.31

▶

1.38

8.1

K / 9

◀

8.5

8.0

Data via ESPN · MLB Stats API · Baseball Savant

San Francisco Giants at Kansas City Royals

The matchup, end-to-end.

3 sub-models, blended.

KC vs SF.

Team rate stats vs league

3 sub-models, blended.