ARCHIVE May 4, 2026
May 4, 2026 · NL West

New York Mets vs Colorado Rockies

May 4, 2026Coors FieldCloudy 68°F · 13 mph, In From CF
AWAY
New York Mets
13-22
4
vs
HOME
Colorado Rockies
14-22
2

Starting pitchers

AWAY · NYM
David Peterson
David Peterson
IP 4
HOME · COL
Tomoyuki Sugano
Tomoyuki Sugano
IP 5.1

Lineups

AWAY · NYM
  1. 1 Juan Soto LF
  2. 2 Bo Bichette SS
  3. 3 MJ Melendez RF
  4. 4 Mark Vientos 1B
  5. 5 Brett Baty 3B
  6. 6 Marcus Semien 2B
  7. 7 Carson Benge CF
  8. 8 Francisco Alvarez DH
  9. 9 Luis Torrens C
HOME · COL
  1. 1 Mickey Moniak LF
  2. 2 Tyler Freeman DH
  3. 3 TJ Rumfield 1B
  4. 4 Hunter Goodman C
  5. 5 Willi Castro 2B
  6. 6 Jordan Beck RF
  7. 7 Kyle Karros 3B
  8. 8 Ezequiel Tovar SS
  9. 9 Brenton Doyle CF

Box score

  123456789 R
NYM 000004000 4
COL 000000200 2

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 · COL
Warren Schaeffer
C Lineup 1.5 R Bunts 0.9 R IBBs 1.9 R

Recent form

AWAY · NYM
5-4 L1 +2 run diff
LW?WWLWLLW
HOME · COL
3-6 W2 -7 run diff
WWL?LLLLLW

Season series: 2-4 with NYM listed first across 8 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 −0.04 R/G Optimal arrangement projects 3.59 vs actual lineup 3.63
  • Player execution +0.37 R/G Players exceeded the lineup's 3.63 projection by 0.37 (scored 4)
  • Game variance +0.41 R/G Total game outcome vs optimal expectation

Benge HR from the 7-hole

HOME · Colorado Rockies
  • Manager lineup cost −0.08 R/G Optimal arrangement projects 4.73 vs actual lineup 4.81
  • Player execution −2.81 R/G Players fell 2.81 short of the lineup's 4.81 projection (scored 2)
  • Game variance −2.73 R/G Total game outcome vs optimal expectation

Freeman 0-for-3 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 3.6 – 4.7 — actual was 4 – 2.

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.