ARCHIVE May 6, 2026
May 6, 2026 · AL West

Atlanta Braves vs Seattle Mariners

May 6, 2026T-Mobile ParkCloudy 58°F · 7 mph, Out To CF
AWAY
Atlanta Braves
26-12
1
vs
HOME
Seattle Mariners
18-20
3

Starting pitchers

AWAY · ATL
Martín Pérez
Martín Pérez
IP 5.2
HOME · SEA
Bryan Woo
Bryan Woo
IP 6

Lineups

AWAY · ATL
  1. 1 Drake Baldwin DH
  2. 2 Ozzie Albies 2B
  3. 3 Matt Olson 1B
  4. 4 Michael Harris II LF
  5. 5 Mauricio Dubón CF
  6. 6 Austin Riley 3B
  7. 7 Mike Yastrzemski RF
  8. 8 Sean Murphy C
  9. 9 Jim Jarvis SS
HOME · SEA
  1. 1 J.P. Crawford SS
  2. 2 Cal Raleigh DH
  3. 3 Julio Rodríguez CF
  4. 4 Josh Naylor 1B
  5. 5 Randy Arozarena LF
  6. 6 Cole Young 2B
  7. 7 Connor Joe RF
  8. 8 Jhonny Pereda C
  9. 9 Leo Rivas 3B

Box score

  123456789 R
ATL 000000010 1
SEA 001001010 3

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 −0.03 R/G Optimal arrangement projects 4.01 vs actual lineup 4.03
  • Player execution −3.03 R/G Players fell 3.03 short of the lineup's 4.03 projection (scored 1)
  • Game variance −3.01 R/G Total game outcome vs optimal expectation

Albies 0-for-3 batting 2nd

HOME · Seattle Mariners
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 2.88 vs actual lineup 2.84
  • Player execution +0.16 R/G Players exceeded the lineup's 2.84 projection by 0.16 (scored 3)
  • Game variance +0.12 R/G Total game outcome vs optimal expectation

Raleigh 0-for-4 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 4.0 – 2.9 — actual was 1 – 3.

GAME INSIGHTS

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.