ARCHIVE May 1, 2026
May 1, 2026 · AL West

New York Mets vs Los Angeles Angels

May 1, 2026Angel StadiumClear 73°F · 8 mph, Out To RF
AWAY
New York Mets
11-21
4
vs
HOME
Los Angeles Angels
12-21
3

Starting pitchers

AWAY · NYM
Christian Scott
Christian Scott
IP 5
HOME · LAA
Walbert Ureña
Walbert Ureña
IP 5

Lineups

AWAY · NYM
  1. 1 Bo Bichette 3B
  2. 2 Juan Soto LF
  3. 3 MJ Melendez DH
  4. 4 Francisco Alvarez C
  5. 5 Brett Baty 1B
  6. 6 Marcus Semien 2B
  7. 7 Carson Benge RF
  8. 8 Tyrone Taylor CF
  9. 9 Ronny Mauricio SS
HOME · LAA
  1. 1 Zach Neto SS
  2. 2 Mike Trout CF
  3. 3 Yoán Moncada 3B
  4. 4 Jorge Soler DH
  5. 5 Nolan Schanuel 1B
  6. 6 Jo Adell RF
  7. 7 Josh Lowe LF
  8. 8 Travis d'Arnaud C
  9. 9 Adam Frazier 2B

Box score

  123456789 R
NYM 000003100 4
LAA 201000000 3

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 −0.01 R/G Optimal arrangement projects 3.88 vs actual lineup 3.89
  • Player execution +0.11 R/G Players exceeded the lineup's 3.89 projection by 0.11 (scored 4)
  • Game variance +0.12 R/G Total game outcome vs optimal expectation

Mauricio HR from the 9-hole

HOME · Los Angeles Angels
  • Manager lineup cost −0.02 R/G Optimal arrangement projects 3.97 vs actual lineup 3.99
  • Player execution −0.99 R/G Players fell 0.99 short of the lineup's 3.99 projection (scored 3)
  • Game variance −0.97 R/G Total game outcome vs optimal expectation

Neto 0-for-3 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.9 – 4.0 — actual was 4 – 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.