ARCHIVE May 4, 2026
May 4, 2026 · AL West

Atlanta Braves vs Seattle Mariners

May 4, 2026T-Mobile ParkPartly Cloudy 76°F · 6 mph, Out To RF
AWAY
Atlanta Braves
25-11
4
vs
HOME
Seattle Mariners
17-19
5

Starting pitchers

AWAY · ATL
JR Ritchie
JR Ritchie
IP 5
HOME · SEA
Logan Gilbert
Logan Gilbert
IP 6

Lineups

AWAY · ATL
  1. 1 Drake Baldwin DH
  2. 2 Ozzie Albies 2B
  3. 3 Matt Olson 1B
  4. 4 Mauricio Dubón CF
  5. 5 Austin Riley 3B
  6. 6 Mike Yastrzemski LF
  7. 7 Sean Murphy C
  8. 8 Eli White RF
  9. 9 Jorge Mateo SS
HOME · SEA
  1. 1 J.P. Crawford SS
  2. 2 Julio Rodríguez CF
  3. 3 Josh Naylor 1B
  4. 4 Randy Arozarena LF
  5. 5 Dominic Canzone DH
  6. 6 Luke Raley RF
  7. 7 Cole Young 2B
  8. 8 Mitch Garver C
  9. 9 Leo Rivas 3B

Box score

  123456789 R
ATL 100003000 4
SEA 000005000 5

Manager comparison

Both managers grade C+ / B- entering this matchup.

AWAY · ATL
Walt Weiss
C+ Lineup 1.7 R Bunts 0.0 R IBBs 0.2 R
HOME · SEA
Dan Wilson
B- Lineup 1.3 R Bunts 0.2 R IBBs 0.8 R

Recent form

AWAY · ATL
7-3 L1 +18 run diff
LWLWWWLWWW
HOME · SEA
5-5 W2 +2 run diff
WWLWLLLWWL

Season series: 1-2 with ATL listed first across 3 prior meetings.

Tactical analysis

RunsLeft separates manager decisions from player execution from game variance. Each card below is the same three-number framework that drives the share cards on the SPA replay page.

AWAY · Atlanta Braves
  • Manager lineup cost −0.02 R/G Optimal arrangement projects 3.96 vs actual lineup 3.97
  • Player execution +0.03 R/G Players exceeded the lineup's 3.97 projection by 0.03 (scored 4)
  • Game variance +0.04 R/G Total game outcome vs optimal expectation

Dubón 0-for-4 batting 4th

HOME · Seattle Mariners
  • Manager lineup cost +0.10 R/G Optimal arrangement projects 3.92 vs actual lineup 3.81
  • Player execution +1.19 R/G Players exceeded the lineup's 3.81 projection by 1.19 (scored 5)
  • Game variance +1.08 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

COUNTERFACTUAL

Optimal lineups projected 4.0 – 3.9 — actual was 4 – 5.

Keep reading

How RunsLeft analyzes games

Standard content on this page comes from the MLB Stats API. Tactical analysis comes from a per-game Monte Carlo: 10,000 simulated games against the opposing starter's ERA, both for the actual lineup the manager wrote and for the optimal arrangement of those nine players. The three numbers — manager cost, player execution, game variance — separate which part of the result was the lineup, the players, or the dice.

Read the full methodology.