ARCHIVE April 7, 2026
April 7, 2026 · AL West

Seattle Mariners vs Texas Rangers

April 7, 2026Globe Life FieldOvercast 71°F · 8 mph, Varies
AWAY
Seattle Mariners
4-8
2
vs
HOME
Texas Rangers
6-5
3

Starting pitchers

AWAY · SEA
George Kirby
George Kirby
IP 8
HOME · TEX
Nathan Eovaldi
Nathan Eovaldi
IP 6

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 J.P. Crawford SS
  8. 8 Dominic Canzone DH
  9. 9 Cole Young 2B
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 Kyle Higashioka C
  8. 8 Josh Smith 2B
  9. 9 Ezequiel Duran 3B

Box score

  123456789 R
SEA 100010000 2
TEX 000030000 3

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 4.50 vs actual lineup 4.48
  • Player execution −2.48 R/G Players fell 2.48 short of the lineup's 4.48 projection (scored 2)
  • Game variance −2.50 R/G Total game outcome vs optimal expectation

Naylor 0-for-4 batting 4th

HOME · Texas Rangers
  • Manager lineup cost +0.00 R/G Optimal arrangement projects 3.13 vs actual lineup 3.13
  • Player execution −0.13 R/G Players fell 0.13 short of the lineup's 3.13 projection (scored 3)
  • Game variance −0.13 R/G Total game outcome vs optimal expectation

Higashioka HR from the 7-hole

COUNTERFACTUAL

Optimal lineups projected 4.5 – 3.1 — actual was 2 – 3.

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.