ARCHIVE April 18, 2026
April 18, 2026 · AL West

Texas Rangers vs Seattle Mariners

April 18, 2026T-Mobile ParkPartly Cloudy 70°F · 6 mph, Out To RF
AWAY
Texas Rangers
11-10
3
vs
HOME
Seattle Mariners
9-13
7

Starting pitchers

AWAY · TEX
Nathan Eovaldi
Nathan Eovaldi
IP 5
HOME · SEA
George Kirby
George Kirby
IP 5.2

Lineups

AWAY · TEX
  1. 1 Brandon Nimmo RF
  2. 2 Corey Seager SS
  3. 3 Wyatt Langford LF
  4. 4 Jake Burger 1B
  5. 5 Joc Pederson DH
  6. 6 Josh Jung 3B
  7. 7 Evan Carter CF
  8. 8 Ezequiel Duran 2B
  9. 9 Kyle Higashioka C
HOME · SEA
  1. 1 J.P. Crawford SS
  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 3B

Box score

  123456789 R
TEX 000001002 3
SEA 100201030 7

Manager comparison

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

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

Recent form

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

Season series: 2-2 with TEX 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 · Texas Rangers
  • Manager lineup cost −0.02 R/G Optimal arrangement projects 3.11 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 −0.11 R/G Total game outcome vs optimal expectation

Seager 0-for-4 batting 2nd

HOME · Seattle Mariners
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 4.51 vs actual lineup 4.50
  • Player execution +2.50 R/G Players exceeded the lineup's 4.50 projection by 2.50 (scored 7)
  • Game variance +2.49 R/G Total game outcome vs optimal expectation

Raleigh 0-for-4 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 3.1 – 4.5 — actual was 3 – 7.

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.