ARCHIVE April 16, 2026
April 16, 2026 · AL West

Texas Rangers vs Oakland Athletics

April 16, 2026Sutter Health ParkSunny 64°F · 17 mph, L To R
AWAY
Texas Rangers
10-9
9
vs
HOME
Oakland Athletics
10-9
6

Starting pitchers

AWAY · TEX
Jack Leiter
Jack Leiter
IP 5.2
HOME · ATH
Jacob Lopez
Jacob Lopez
IP 5

Lineups

AWAY · TEX
  1. 1 Brandon Nimmo RF
  2. 2 Wyatt Langford CF
  3. 3 Jake Burger 1B
  4. 4 Josh Jung 3B
  5. 5 Kyle Higashioka C
  6. 6 Andrew McCutchen DH
  7. 7 Sam Haggerty LF
  8. 8 Josh Smith 2B
  9. 9 Ezequiel Duran SS
HOME · ATH
  1. 1 Jeff McNeil 2B
  2. 2 Shea Langeliers DH
  3. 3 Nick Kurtz 1B
  4. 4 Tyler Soderstrom LF
  5. 5 Jacob Wilson SS
  6. 6 Carlos Cortes RF
  7. 7 Lawrence Butler CF
  8. 8 Austin Wynns C
  9. 9 Darell Hernaiz 3B

Box score

  123456789 R
TEX 001011204 9
ATH 000030030 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
WWLLWLLWWL

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 +0.12 R/G Optimal arrangement projects 4.78 vs actual lineup 4.67
  • Player execution +4.33 R/G Players exceeded the lineup's 4.67 projection by 4.33 (scored 9)
  • Game variance +4.22 R/G Total game outcome vs optimal expectation

Duran 2-for-4 from the 9-hole

HOME · Oakland Athletics
  • Manager lineup cost +0.16 R/G Optimal arrangement projects 5.12 vs actual lineup 4.96
  • Player execution +1.04 R/G Players exceeded the lineup's 4.96 projection by 1.04 (scored 6)
  • Game variance +0.88 R/G Total game outcome vs optimal expectation

Butler 2-for-5 from the 7-hole

COUNTERFACTUAL

Optimal lineups projected 4.8 – 5.1 — actual was 9 – 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.