ARCHIVE April 1, 2026
April 1, 2026 · NL West

Cleveland Guardians vs Los Angeles Dodgers

April 1, 2026UNIQLO Field at Dodger StadiumPartly Cloudy 68°F · 12 mph, Varies
AWAY
Cleveland Guardians
4-3
4
vs
HOME
Los Angeles Dodgers
4-2
1

Starting pitchers

AWAY · CLE
Gavin Williams
Gavin Williams
IP 7
HOME · LAD
Yoshinobu Yamamoto
Yoshinobu Yamamoto
IP 6

Lineups

AWAY · CLE
  1. 1 Steven Kwan LF
  2. 2 Angel Martínez RF
  3. 3 José Ramírez 3B
  4. 4 Kyle Manzardo DH
  5. 5 Rhys Hoskins 1B
  6. 6 Bo Naylor C
  7. 7 Daniel Schneemann CF
  8. 8 Gabriel Arias SS
  9. 9 Brayan Rocchio 2B
HOME · LAD
  1. 1 Shohei Ohtani DH
  2. 2 Kyle Tucker RF
  3. 3 Mookie Betts SS
  4. 4 Freddie Freeman 1B
  5. 5 Will Smith C
  6. 6 Max Muncy 3B
  7. 7 Teoscar Hernández LF
  8. 8 Andy Pages CF
  9. 9 Alex Freeland 2B

Box score

  123456789 R
CLE 002000020 4
LAD 000000001 1

Manager comparison

Both managers grade C+ / B entering this matchup.

AWAY · CLE
Stephen Vogt
C+ Lineup 1.5 R Bunts 0.7 R IBBs 0.4 R
HOME · LAD
Dave Roberts
B Lineup 0.2 R Bunts 0.3 R IBBs 1.0 R

Recent form

AWAY · CLE
6-4 W3 +7 run diff
WWWLLLWWWL
HOME · LAD
5-5 W1 +16 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 · Cleveland Guardians
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 3.11 vs actual lineup 3.07
  • Player execution +0.93 R/G Players exceeded the lineup's 3.07 projection by 0.93 (scored 4)
  • Game variance +0.89 R/G Total game outcome vs optimal expectation

Arias HR from the 8-hole

HOME · Los Angeles Dodgers
  • Manager lineup cost −0.17 R/G Optimal arrangement projects 3.31 vs actual lineup 3.49
  • Player execution −2.49 R/G Players fell 2.49 short of the lineup's 3.49 projection (scored 1)
  • Game variance −2.31 R/G Total game outcome vs optimal expectation

Ohtani 0-for-3 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.1 – 3.3 — actual was 4 – 1.

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.