ARCHIVE April 15, 2026
April 15, 2026 · AL West

Texas Rangers vs Oakland Athletics

April 15, 2026Sutter Health ParkPartly Cloudy 65°F · 9 mph, Out To CF
AWAY
Texas Rangers
9-9
5
vs
HOME
Oakland Athletics
10-8
6

Starting pitchers

AWAY · TEX
Kumar Rocker
Kumar Rocker
IP 4.2
HOME · ATH
J.T. Ginn
J.T. Ginn
IP 5.1

Lineups

AWAY · TEX
  1. 1 Brandon Nimmo RF
  2. 2 Corey Seager SS
  3. 3 Wyatt Langford DH
  4. 4 Evan Carter CF
  5. 5 Joc Pederson 1B
  6. 6 Josh Jung 3B
  7. 7 Josh Smith 2B
  8. 8 Danny Jansen C
  9. 9 Ezequiel Duran LF
HOME · ATH
  1. 1 Nick Kurtz 1B
  2. 2 Shea Langeliers C
  3. 3 Carlos Cortes DH
  4. 4 Tyler Soderstrom LF
  5. 5 Jacob Wilson SS
  6. 6 Jeff McNeil 2B
  7. 7 Max Muncy 3B
  8. 8 Lawrence Butler RF
  9. 9 Denzel Clarke CF

Box score

  123456789 R
TEX 002000030 5
ATH 110002200 6

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 −0.04 R/G Optimal arrangement projects 3.44 vs actual lineup 3.48
  • Player execution +1.52 R/G Players exceeded the lineup's 3.48 projection by 1.52 (scored 5)
  • Game variance +1.56 R/G Total game outcome vs optimal expectation

Nimmo 0-for-3 batting 1st

HOME · Oakland Athletics
  • Manager lineup cost +0.07 R/G Optimal arrangement projects 4.49 vs actual lineup 4.43
  • Player execution +1.57 R/G Players exceeded the lineup's 4.43 projection by 1.57 (scored 6)
  • Game variance +1.51 R/G Total game outcome vs optimal expectation

Kurtz 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.4 – 4.5 — actual was 5 – 6.

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.