ARCHIVE April 6, 2026
April 6, 2026 · AL West

Seattle Mariners vs Texas Rangers

April 6, 2026Globe Life FieldPartly Cloudy 70°F · 6 mph, Varies
AWAY
Seattle Mariners
4-7
1
vs
HOME
Texas Rangers
5-5
2

Starting pitchers

AWAY · SEA
Logan Gilbert
Logan Gilbert
IP 6
HOME · TEX
Jacob deGrom
Jacob deGrom
IP 5

Lineups

AWAY · SEA
  1. 1 Brendan Donovan 3B
  2. 2 Cal Raleigh C
  3. 3 Julio Rodríguez CF
  4. 4 Josh Naylor 1B
  5. 5 Randy Arozarena LF
  6. 6 Luke Raley RF
  7. 7 Dominic Canzone DH
  8. 8 Cole Young 2B
  9. 9 Leo Rivas SS
HOME · TEX
  1. 1 Brandon Nimmo RF
  2. 2 Wyatt Langford LF
  3. 3 Corey Seager SS
  4. 4 Jake Burger 1B
  5. 5 Joc Pederson DH
  6. 6 Evan Carter CF
  7. 7 Danny Jansen C
  8. 8 Josh Smith 2B
  9. 9 Josh Jung 3B

Box score

  123456789 R
SEA 100000000 1
TEX 100001000 2

Manager comparison

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

AWAY · SEA
Dan Wilson
B- Lineup 1.3 R Bunts 0.2 R IBBs 0.8 R
HOME · TEX
Skip Schumaker
B- Lineup 1.0 R Bunts 0.3 R IBBs 0.9 R

Recent form

AWAY · SEA
5-5 W2 +2 run diff
WWLWLLLWWL
HOME · TEX
3-7 L2 -20 run diff
LLWLLLWWLL

Season series: 2-2 with SEA listed first across 4 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 · Seattle Mariners
  • Manager lineup cost −0.02 R/G Optimal arrangement projects 2.89 vs actual lineup 2.91
  • Player execution −1.91 R/G Players fell 1.91 short of the lineup's 2.91 projection (scored 1)
  • Game variance −1.89 R/G Total game outcome vs optimal expectation

Donovan 0-for-4 batting 1st

HOME · Texas Rangers
  • Manager lineup cost +0.03 R/G Optimal arrangement projects 4.04 vs actual lineup 4.01
  • Player execution −2.01 R/G Players fell 2.01 short of the lineup's 4.01 projection (scored 2)
  • Game variance −2.04 R/G Total game outcome vs optimal expectation

Nimmo 0-for-3 batting 1st

COUNTERFACTUAL

Optimal lineups projected 2.9 – 4.0 — actual was 1 – 2.

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.