ARCHIVE March 28, 2026
March 28, 2026 · NL West

Arizona Diamondbacks vs Los Angeles Dodgers

March 28, 2026UNIQLO Field at Dodger StadiumPartly Cloudy 76°F · 6 mph, L To R
vs
HOME
Los Angeles Dodgers
3-0
3

Starting pitchers

AWAY · AZ
Eduardo Rodriguez
Eduardo Rodriguez
IP 5
HOME · LAD
Tyler Glasnow
Tyler Glasnow
IP 6

Lineups

AWAY · AZ
  1. 1 Ketel Marte 2B
  2. 2 Corbin Carroll RF
  3. 3 Geraldo Perdomo SS
  4. 4 Pavin Smith DH
  5. 5 Nolan Arenado 3B
  6. 6 Alek Thomas CF
  7. 7 Carlos Santana 1B
  8. 8 James McCann C
  9. 9 Jorge Barrosa LF
HOME · LAD
  1. 1 Shohei Ohtani DH
  2. 2 Kyle Tucker RF
  3. 3 Mookie Betts SS
  4. 4 Will Smith C
  5. 5 Freddie Freeman 1B
  6. 6 Teoscar Hernández LF
  7. 7 Santiago Espinal 3B
  8. 8 Andy Pages CF
  9. 9 Miguel Rojas 2B

Box score

  123456789 R
AZ 101000000 2
LAD 000001020 3

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 +0.01 R/G Optimal arrangement projects 3.18 vs actual lineup 3.16
  • Player execution −1.16 R/G Players fell 1.16 short of the lineup's 3.16 projection (scored 2)
  • Game variance −1.18 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

HOME · Los Angeles Dodgers
  • Manager lineup cost −0.25 R/G Optimal arrangement projects 3.67 vs actual lineup 3.92
  • Player execution −0.92 R/G Players fell 0.92 short of the lineup's 3.92 projection (scored 3)
  • Game variance −0.67 R/G Total game outcome vs optimal expectation

Tucker 0-for-4 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 3.2 – 3.7 — actual was 2 – 3.

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.