ARCHIVE May 2, 2026
May 2, 2026 · AL West

New York Mets vs Los Angeles Angels

May 2, 2026Angel StadiumClear 70°F · 6 mph, R To L
AWAY
New York Mets
11-22
3
vs
HOME
Los Angeles Angels
13-21
4

Starting pitchers

AWAY · NYM
Nolan McLean
Nolan McLean
IP 4
HOME · LAA
Reid Detmers
Reid Detmers
IP 6.1

Lineups

AWAY · NYM
  1. 1 Bo Bichette 3B
  2. 2 Juan Soto DH
  3. 3 Francisco Alvarez C
  4. 4 Mark Vientos 1B
  5. 5 Marcus Semien 2B
  6. 6 Andy Ibáñez LF
  7. 7 Tyrone Taylor CF
  8. 8 Austin Slater RF
  9. 9 Ronny Mauricio SS
HOME · LAA
  1. 1 Zach Neto SS
  2. 2 Mike Trout CF
  3. 3 Nolan Schanuel 1B
  4. 4 Jorge Soler DH
  5. 5 Jo Adell RF
  6. 6 Josh Lowe LF
  7. 7 Vaughn Grissom 2B
  8. 8 Oswald Peraza 3B
  9. 9 Travis d'Arnaud C

Box score

  12345678910 R
NYM 0010002000 3
LAA 1002000001 4

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 4.16 vs actual lineup 4.17
  • Player execution −1.17 R/G Players fell 1.17 short of the lineup's 4.17 projection (scored 3)
  • Game variance −1.16 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

HOME · Los Angeles Angels
  • Manager lineup cost +0.00 R/G Optimal arrangement projects 3.11 vs actual lineup 3.11
  • Player execution +0.89 R/G Players exceeded the lineup's 3.11 projection by 0.89 (scored 4)
  • Game variance +0.89 R/G Total game outcome vs optimal expectation

Neto 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 4.2 – 3.1 — actual was 3 – 4.

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.