ARCHIVE April 4, 2026
April 4, 2026 · AL West

Houston Astros vs Oakland Athletics

April 4, 2026Sutter Health ParkSunny 76°F · 4 mph, Out To RF
AWAY
Houston Astros
6-3
11
vs
HOME
Oakland Athletics
2-6
0

Starting pitchers

AWAY · HOU
Tatsuya Imai
Tatsuya Imai
IP 5.2
HOME · ATH
Luis Morales
Luis Morales
IP 3

Lineups

AWAY · HOU
  1. 1 Jeremy Peña SS
  2. 2 Yordan Alvarez LF
  3. 3 Jose Altuve 2B
  4. 4 Carlos Correa 3B
  5. 5 Christian Walker 1B
  6. 6 Joey Loperfido RF
  7. 7 Yainer Diaz DH
  8. 8 Jake Meyers CF
  9. 9 Christian Vázquez C
HOME · 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 RF
  7. 7 Max Muncy 3B
  8. 8 Jeff McNeil 2B
  9. 9 Denzel Clarke CF

Box score

  123456789 R
HOU 202303010 11
ATH 000000000 0

Manager comparison

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

AWAY · HOU
Joe Espada
D+ Lineup 2.8 R Bunts 0.7 R IBBs 0.4 R
HOME · ATH
Mark Kotsay
C- Lineup 2.6 R Bunts 1.1 R IBBs 1.1 R

Recent form

AWAY · HOU
5-4 W1 -2 run diff
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HOME · ATH
5-5 W2 -1 run diff
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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 · Houston Astros
  • Manager lineup cost +0.30 R/G Optimal arrangement projects 4.83 vs actual lineup 4.53
  • Player execution +6.47 R/G Players exceeded the lineup's 4.53 projection by 6.47 (scored 11)
  • Game variance +6.17 R/G Total game outcome vs optimal expectation

Allen 0-for-3 batting 1st

HOME · Oakland Athletics
  • Manager lineup cost +0.18 R/G Optimal arrangement projects 4.97 vs actual lineup 4.80
  • Player execution −4.80 R/G Players fell 4.80 short of the lineup's 4.80 projection (scored 0)
  • Game variance −4.97 R/G Total game outcome vs optimal expectation

Rooker 0-for-3 batting 4th

COUNTERFACTUAL

Optimal lineups projected 4.8 – 5.0 — actual was 11 – 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.