ARCHIVE April 23, 2026
April 23, 2026 · NL West

Los Angeles Dodgers vs San Francisco Giants

April 23, 2026Oracle ParkPartly Cloudy 60°F · 8 mph, Out To CF
AWAY
Los Angeles Dodgers
17-8
3
vs
HOME
San Francisco Giants
11-14
0

Starting pitchers

AWAY · LAD
Tyler Glasnow
Tyler Glasnow
IP 8
HOME · SF
Logan Webb
Logan Webb
IP 7

Lineups

AWAY · LAD
  1. 1 Shohei Ohtani DH
  2. 2 Freddie Freeman 1B
  3. 3 Teoscar Hernández LF
  4. 4 Kyle Tucker RF
  5. 5 Max Muncy 3B
  6. 6 Andy Pages CF
  7. 7 Dalton Rushing C
  8. 8 Hyeseong Kim SS
  9. 9 Alex Freeland 2B
HOME · SF
  1. 1 Willy Adames SS
  2. 2 Luis Arraez 2B
  3. 3 Matt Chapman 3B
  4. 4 Rafael Devers 1B
  5. 5 Heliot Ramos LF
  6. 6 Jung Hoo Lee RF
  7. 7 Will Brennan DH
  8. 8 Drew Gilbert CF
  9. 9 Patrick Bailey C

Box score

  123456789 R
LAD 010200000 3
SF 000000000 0

Manager comparison

Both managers grade B / B- entering this matchup.

AWAY · LAD
Dave Roberts
B Lineup 0.2 R Bunts 0.3 R IBBs 1.0 R
HOME · SF
Tony Vitello
B- Lineup 0.8 R Bunts 0.7 R IBBs 1.4 R

Recent form

AWAY · LAD
5-5 W1 +16 run diff
WLWWLLLLWW
HOME · SF
1-8 L2 -25 run diff
LLWLLLLL?L

Season series: 1-2 with LAD listed first across 3 prior meetings.

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 Dodgers
  • Manager lineup cost −0.17 R/G Optimal arrangement projects 4.55 vs actual lineup 4.72
  • Player execution −1.72 R/G Players fell 1.72 short of the lineup's 4.72 projection (scored 3)
  • Game variance −1.55 R/G Total game outcome vs optimal expectation

Ohtani 0-for-5 batting 1st

HOME · San Francisco Giants
  • Manager lineup cost +0.00 R/G Optimal arrangement projects 3.15 vs actual lineup 3.15
  • Player execution −3.15 R/G Players fell 3.15 short of the lineup's 3.15 projection (scored 0)
  • Game variance −3.15 R/G Total game outcome vs optimal expectation

Adames 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 4.5 – 3.1 — actual was 3 – 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.