ARCHIVE March 30, 2026
March 30, 2026 · NL West

Cleveland Guardians vs Los Angeles Dodgers

March 30, 2026UNIQLO Field at Dodger StadiumPartly Cloudy 68°F · 1 mph, Calm
AWAY
Cleveland Guardians
3-2
4
vs
HOME
Los Angeles Dodgers
3-1
2

Starting pitchers

AWAY · CLE
Parker Messick
Parker Messick
IP 6
HOME · LAD
Roki Sasaki
Roki Sasaki
IP 4

Lineups

AWAY · CLE
  1. 1 Steven Kwan LF
  2. 2 Chase DeLauter DH
  3. 3 José Ramírez 3B
  4. 4 Kyle Manzardo 1B
  5. 5 Daniel Schneemann CF
  6. 6 Brayan Rocchio 2B
  7. 7 Gabriel Arias SS
  8. 8 Austin Hedges C
  9. 9 Angel Martínez RF
HOME · LAD
  1. 1 Shohei Ohtani DH
  2. 2 Kyle Tucker RF
  3. 3 Mookie Betts SS
  4. 4 Teoscar Hernández LF
  5. 5 Freddie Freeman 1B
  6. 6 Andy Pages CF
  7. 7 Max Muncy 3B
  8. 8 Miguel Rojas 2B
  9. 9 Dalton Rushing C

Box score

  123456789 R
CLE 001000300 4
LAD 000000002 2

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
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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 +0.20 R/G Optimal arrangement projects 4.78 vs actual lineup 4.59
  • Player execution −0.59 R/G Players fell 0.59 short of the lineup's 4.59 projection (scored 4)
  • Game variance −0.78 R/G Total game outcome vs optimal expectation

DeLauter 0-for-4 batting 2nd

HOME · Los Angeles Dodgers
  • Manager lineup cost −0.07 R/G Optimal arrangement projects 2.60 vs actual lineup 2.67
  • Player execution −0.67 R/G Players fell 0.67 short of the lineup's 2.67 projection (scored 2)
  • Game variance −0.60 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

COUNTERFACTUAL

Optimal lineups projected 4.8 – 2.6 — actual was 4 – 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.