ARCHIVE April 14, 2026
April 14, 2026 · AL West

Texas Rangers vs Oakland Athletics

April 14, 2026Sutter Health ParkClear 66°F · 8 mph, Out To RF
AWAY
Texas Rangers
9-8
1
vs
HOME
Oakland Athletics
9-8
2

Starting pitchers

AWAY · TEX
MacKenzie Gore
MacKenzie Gore
IP 4.2
HOME · ATH
Jeffrey Springs
Jeffrey Springs
IP 6.1

Lineups

AWAY · TEX
  1. 1 Brandon Nimmo RF
  2. 2 Wyatt Langford DH
  3. 3 Corey Seager SS
  4. 4 Jake Burger 1B
  5. 5 Sam Haggerty CF
  6. 6 Josh Jung 3B
  7. 7 Andrew McCutchen LF
  8. 8 Danny Jansen C
  9. 9 Ezequiel Duran 2B
HOME · ATH
  1. 1 Shea Langeliers DH
  2. 2 Nick Kurtz 1B
  3. 3 Jacob Wilson SS
  4. 4 Tyler Soderstrom LF
  5. 5 Max Muncy 3B
  6. 6 Austin Wynns C
  7. 7 Zack Gelof RF
  8. 8 Jeff McNeil 2B
  9. 9 Denzel Clarke CF

Box score

  123456789 R
TEX 100000000 1
ATH 002000000 2

Manager comparison

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

AWAY · TEX
Skip Schumaker
B- Lineup 1.0 R Bunts 0.3 R IBBs 0.9 R
HOME · ATH
Mark Kotsay
C- Lineup 2.6 R Bunts 1.1 R IBBs 1.1 R

Recent form

AWAY · TEX
3-7 L2 -20 run diff
LLWLLLWWLL
HOME · ATH
5-5 W2 -1 run diff
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Season series: 3-4 with TEX listed first across 7 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 −0.03 R/G Optimal arrangement projects 3.74 vs actual lineup 3.77
  • Player execution −2.77 R/G Players fell 2.77 short of the lineup's 3.77 projection (scored 1)
  • Game variance −2.74 R/G Total game outcome vs optimal expectation

Seager 0-for-3 batting 3rd

HOME · Oakland Athletics
  • Manager lineup cost +0.12 R/G Optimal arrangement projects 4.59 vs actual lineup 4.47
  • Player execution −2.47 R/G Players fell 2.47 short of the lineup's 4.47 projection (scored 2)
  • Game variance −2.59 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

COUNTERFACTUAL

Optimal lineups projected 3.7 – 4.6 — 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.