ARCHIVE April 17, 2026
April 17, 2026 · AL West

Texas Rangers vs Seattle Mariners

April 17, 2026T-Mobile ParkPartly Cloudy 55°F · 7 mph, L To R
AWAY
Texas Rangers
11-9
5
vs
HOME
Seattle Mariners
8-13
0

Starting pitchers

AWAY · TEX
Jacob deGrom
Jacob deGrom
IP 4
HOME · SEA
Logan Gilbert
Logan Gilbert
IP 5.1

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 Evan Carter CF
  6. 6 Joc Pederson DH
  7. 7 Josh Jung 3B
  8. 8 Josh Smith 2B
  9. 9 Danny Jansen C
HOME · 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

Box score

  123456789 R
TEX 101000102 5
SEA 000000000 0

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 +0.05 R/G Optimal arrangement projects 4.08 vs actual lineup 4.04
  • Player execution +0.96 R/G Players exceeded the lineup's 4.04 projection by 0.96 (scored 5)
  • Game variance +0.92 R/G Total game outcome vs optimal expectation

Jung 3-for-5 from the 7-hole

HOME · Seattle Mariners
  • Manager lineup cost −0.03 R/G Optimal arrangement projects 2.87 vs actual lineup 2.90
  • Player execution −2.90 R/G Players fell 2.90 short of the lineup's 2.90 projection (scored 0)
  • Game variance −2.86 R/G Total game outcome vs optimal expectation

Raleigh 0-for-3 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 4.1 – 2.9 — actual was 5 – 0.

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.