ARCHIVE April 8, 2026
April 8, 2026 · AL East

Oakland Athletics vs New York Yankees

April 8, 2026Yankee StadiumClear 44°F · 8 mph, R To L
AWAY
Oakland Athletics
4-7
3
vs
HOME
New York Yankees
8-3
2

Starting pitchers

AWAY · ATH
Luis Severino
Luis Severino
IP 5
HOME · NYY
Will Warren
Will Warren
IP 4.2

Lineups

AWAY · ATH
  1. 1 Nick Kurtz 1B
  2. 2 Shea Langeliers C
  3. 3 Tyler Soderstrom LF
  4. 4 Brent Rooker DH
  5. 5 Jacob Wilson SS
  6. 6 Lawrence Butler CF
  7. 7 Max Muncy 3B
  8. 8 Jeff McNeil 2B
  9. 9 Carlos Cortes RF
HOME · NYY
  1. 1 Trent Grisham CF
  2. 2 Aaron Judge RF
  3. 3 Cody Bellinger LF
  4. 4 Ben Rice 1B
  5. 5 Giancarlo Stanton DH
  6. 6 Jazz Chisholm Jr. 2B
  7. 7 J.C. Escarra C
  8. 8 Amed Rosario 3B
  9. 9 Ryan McMahon SS

Box score

  123456789 R
ATH 000200001 3
NYY 200000000 2

Manager comparison

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

AWAY · ATH
Mark Kotsay
C- Lineup 2.6 R Bunts 1.1 R IBBs 1.1 R
HOME · NYY
Aaron Boone
C+ Lineup 1.5 R Bunts 0.0 R IBBs 1.1 R

Recent form

AWAY · ATH
5-5 W2 -1 run diff
WWLLWLLWWL
HOME · NYY
7-3 L1 +26 run diff
LWLWWWWWLW

Season series: 2-0 with ATH listed first across 2 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 · Oakland Athletics
  • Manager lineup cost +0.03 R/G Optimal arrangement projects 2.88 vs actual lineup 2.85
  • Player execution +0.15 R/G Players exceeded the lineup's 2.85 projection by 0.15 (scored 3)
  • Game variance +0.13 R/G Total game outcome vs optimal expectation

Soderstrom 0-for-5 batting 3rd

HOME · New York Yankees
  • Manager lineup cost −0.09 R/G Optimal arrangement projects 4.24 vs actual lineup 4.33
  • Player execution −2.33 R/G Players fell 2.33 short of the lineup's 4.33 projection (scored 2)
  • Game variance −2.24 R/G Total game outcome vs optimal expectation

Rice 0-for-4 batting 4th

COUNTERFACTUAL

Optimal lineups projected 2.9 – 4.2 — actual was 3 – 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.