ARCHIVE May 3, 2026
May 3, 2026 · AL West

New York Mets vs Los Angeles Angels

May 3, 2026Angel StadiumCloudy 69°F · 8 mph, Out To CF
AWAY
New York Mets
12-22
5
vs
HOME
Los Angeles Angels
13-22
1

Starting pitchers

AWAY · NYM
Clay Holmes
Clay Holmes
IP 6.2
HOME · LAA
Jack Kochanowicz
Jack Kochanowicz
IP 6.1

Lineups

AWAY · NYM
  1. 1 Bo Bichette SS
  2. 2 Juan Soto DH
  3. 3 MJ Melendez LF
  4. 4 Brett Baty 3B
  5. 5 Marcus Semien 2B
  6. 6 Carson Benge RF
  7. 7 Mark Vientos 1B
  8. 8 Tyrone Taylor CF
  9. 9 Luis Torrens C
HOME · LAA
  1. 1 Zach Neto SS
  2. 2 Mike Trout CF
  3. 3 Nolan Schanuel 1B
  4. 4 Jorge Soler RF
  5. 5 Jo Adell DH
  6. 6 Josh Lowe LF
  7. 7 Vaughn Grissom 2B
  8. 8 Oswald Peraza 3B
  9. 9 Sebastián Rivero C

Box score

  123456789 R
NYM 000200030 5
LAA 100000000 1

Manager comparison

Both managers grade D+ / C entering this matchup.

AWAY · NYM
Carlos Mendoza
D+ Lineup 2.9 R Bunts 1.4 R IBBs 0.9 R
HOME · LAA
Kurt Suzuki
C Lineup 1.4 R Bunts 2.0 R IBBs 2.1 R

Recent form

AWAY · NYM
5-4 L1 +2 run diff
LW?WWLWLLW
HOME · LAA
3-7 L1 -10 run diff
LWWLLWLLLL

Season series: 2-1 with NYM 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 · New York Mets
  • Manager lineup cost +0.07 R/G Optimal arrangement projects 3.59 vs actual lineup 3.52
  • Player execution +1.48 R/G Players exceeded the lineup's 3.52 projection by 1.48 (scored 5)
  • Game variance +1.41 R/G Total game outcome vs optimal expectation

Vientos HR from the 7-hole

HOME · Los Angeles Angels
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 2.44 vs actual lineup 2.43
  • Player execution −1.43 R/G Players fell 1.43 short of the lineup's 2.43 projection (scored 1)
  • Game variance −1.44 R/G Total game outcome vs optimal expectation

Neto 0-for-3 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.6 – 2.4 — actual was 5 – 1.

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.