ARCHIVE March 27, 2026
March 27, 2026 · NL West

Arizona Diamondbacks vs Los Angeles Dodgers

March 27, 2026UNIQLO Field at Dodger StadiumPartly Cloudy 67°F · 2 mph, Out To RF
vs
HOME
Los Angeles Dodgers
2-0
5

Starting pitchers

AWAY · AZ
Ryne Nelson
Ryne Nelson
IP 4.2
HOME · LAD
Emmet Sheehan
Emmet Sheehan
IP 3.1

Lineups

AWAY · AZ
  1. 1 Ketel Marte 2B
  2. 2 Corbin Carroll RF
  3. 3 Geraldo Perdomo SS
  4. 4 Gabriel Moreno C
  5. 5 Pavin Smith DH
  6. 6 Nolan Arenado 3B
  7. 7 Carlos Santana 1B
  8. 8 Alek Thomas CF
  9. 9 Jordan Lawlar LF
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
AZ 011200000 4
LAD 004000010 5

Manager comparison

Both managers grade C- / B entering this matchup.

AWAY · AZ
Torey Lovullo
C- Lineup 2.0 R Bunts 2.1 R IBBs 0.6 R
HOME · LAD
Dave Roberts
B Lineup 0.2 R Bunts 0.3 R IBBs 1.0 R

Recent form

AWAY · AZ
3-7 L2 -15 run diff
LLWLLLLWLW
HOME · LAD
5-5 W1 +16 run diff
WLWWLLLLWW

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 · Arizona Diamondbacks
  • Manager lineup cost +0.07 R/G Optimal arrangement projects 4.86 vs actual lineup 4.79
  • Player execution −0.79 R/G Players fell 0.79 short of the lineup's 4.79 projection (scored 4)
  • Game variance −0.86 R/G Total game outcome vs optimal expectation

Carroll 0-for-4 batting 2nd

HOME · Los Angeles Dodgers
  • Manager lineup cost −0.34 R/G Optimal arrangement projects 5.00 vs actual lineup 5.34
  • Player execution −0.33 R/G Players fell 0.33 short of the lineup's 5.34 projection (scored 5)
  • Game variance +0.00 R/G Total game outcome vs optimal expectation

Freeland HR from the 9-hole

COUNTERFACTUAL

Optimal lineups projected 4.9 – 5.0 — actual was 4 – 5.

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.