ARCHIVE March 29, 2026
March 29, 2026 · AL West

Los Angeles Angels vs Houston Astros

March 29, 2026Daikin ParkRoof Closed 73°F · 0 mph, None
AWAY
Los Angeles Angels
2-2
7
vs
HOME
Houston Astros
2-2
9

Starting pitchers

AWAY · LAA
Jack Kochanowicz
Jack Kochanowicz
IP 4
HOME · HOU
Tatsuya Imai
Tatsuya Imai
IP 2.2

Lineups

AWAY · LAA
  1. 1 Zach Neto SS
  2. 2 Mike Trout DH
  3. 3 Nolan Schanuel 1B
  4. 4 Jorge Soler RF
  5. 5 Yoán Moncada 3B
  6. 6 Jo Adell CF
  7. 7 Josh Lowe LF
  8. 8 Travis d'Arnaud C
  9. 9 Adam Frazier 2B
HOME · HOU
  1. 1 Jeremy Peña SS
  2. 2 Yordan Alvarez LF
  3. 3 Isaac Paredes 2B
  4. 4 Jose Altuve DH
  5. 5 Carlos Correa 3B
  6. 6 Joey Loperfido CF
  7. 7 Christian Walker 1B
  8. 8 Cam Smith RF
  9. 9 Christian Vázquez C

Box score

  123456789 R
LAA 004200001 7
HOU 040020030 9

Manager comparison

Both managers grade C / D+ entering this matchup.

AWAY · LAA
Kurt Suzuki
C Lineup 1.4 R Bunts 2.0 R IBBs 2.1 R
HOME · HOU
Joe Espada
D+ Lineup 2.8 R Bunts 0.7 R IBBs 0.4 R

Recent form

AWAY · LAA
3-7 L1 -10 run diff
LWWLLWLLLL
HOME · HOU
5-4 W1 -2 run diff
WLWLWWLLW?

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 · Los Angeles Angels
  • Manager lineup cost +0.12 R/G Optimal arrangement projects 4.75 vs actual lineup 4.63
  • Player execution +2.37 R/G Players exceeded the lineup's 4.63 projection by 2.37 (scored 7)
  • Game variance +2.25 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

HOME · Houston Astros
  • Manager lineup cost +0.31 R/G Optimal arrangement projects 3.57 vs actual lineup 3.26
  • Player execution +5.74 R/G Players exceeded the lineup's 3.26 projection by 5.74 (scored 9)
  • Game variance +5.43 R/G Total game outcome vs optimal expectation

Peña 0-for-5 batting 1st

COUNTERFACTUAL

Optimal lineups projected 4.8 – 3.6 — actual was 7 – 9.

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.