ARCHIVE March 31, 2026
March 31, 2026 · NL West

Cleveland Guardians vs Los Angeles Dodgers

March 31, 2026UNIQLO Field at Dodger StadiumOvercast 66°F · 4 mph, L To R
AWAY
Cleveland Guardians
3-3
1
vs
HOME
Los Angeles Dodgers
4-1
4

Starting pitchers

AWAY · CLE
Tanner Bibee
Tanner Bibee
IP 4
HOME · LAD
Shohei Ohtani
Shohei Ohtani
IP 6

Lineups

AWAY · CLE
  1. 1 Steven Kwan CF
  2. 2 Chase DeLauter RF
  3. 3 José Ramírez 3B
  4. 4 Kyle Manzardo DH
  5. 5 Rhys Hoskins 1B
  6. 6 Bo Naylor C
  7. 7 Brayan Rocchio 2B
  8. 8 Gabriel Arias SS
  9. 9 Angel Martínez LF
HOME · LAD
  1. 1 Shohei Ohtani P
  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 000000001 1
LAD 000101020 4

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 −0.01 R/G Optimal arrangement projects 2.38 vs actual lineup 2.39
  • Player execution −1.39 R/G Players fell 1.39 short of the lineup's 2.39 projection (scored 1)
  • Game variance −1.38 R/G Total game outcome vs optimal expectation

Ramírez 0-for-4 batting 3rd

HOME · Los Angeles Dodgers
  • Manager lineup cost −0.10 R/G Optimal arrangement projects 4.28 vs actual lineup 4.39
  • Player execution −0.39 R/G Players fell 0.39 short of the lineup's 4.39 projection (scored 4)
  • Game variance −0.28 R/G Total game outcome vs optimal expectation

Betts 0-for-4 batting 3rd

COUNTERFACTUAL

Optimal lineups projected 2.4 – 4.3 — actual was 1 – 4.

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.