ARCHIVE April 19, 2026
April 19, 2026 · NL Cent

New York Mets vs Chicago Cubs

April 19, 2026Wrigley FieldPartly Cloudy 48°F · 4 mph, L To R
AWAY
New York Mets
7-15
1
vs
HOME
Chicago Cubs
12-9
2

Starting pitchers

AWAY · NYM
David Peterson
David Peterson
IP 3.2
HOME · CHC
Javier Assad
Javier Assad
IP 5.2

Lineups

AWAY · NYM
  1. 1 Carson Benge LF
  2. 2 Bo Bichette 3B
  3. 3 Francisco Lindor SS
  4. 4 Luis Robert CF
  5. 5 MJ Melendez DH
  6. 6 Mark Vientos 1B
  7. 7 Brett Baty RF
  8. 8 Marcus Semien 2B
  9. 9 Luis Torrens C
HOME · CHC
  1. 1 Nico Hoerner 2B
  2. 2 Michael Busch 1B
  3. 3 Alex Bregman 3B
  4. 4 Ian Happ LF
  5. 5 Seiya Suzuki RF
  6. 6 Moisés Ballesteros DH
  7. 7 Carson Kelly C
  8. 8 Pete Crow-Armstrong CF
  9. 9 Dansby Swanson SS

Box score

  12345678910 R
NYM 0000100000 1
CHC 0000000011 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 · CHC
Craig Counsell
C Lineup 1.7 R Bunts 0.4 R IBBs 0.3 R

Recent form

AWAY · NYM
5-4 L1 +2 run diff
LW?WWLWLLW
HOME · CHC
10-0 W10 +27 run diff
WWWWWWWWWW

Season series: 0-3 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 +0.34 R/G Optimal arrangement projects 4.96 vs actual lineup 4.62
  • Player execution −3.62 R/G Players fell 3.62 short of the lineup's 4.62 projection (scored 1)
  • Game variance −3.96 R/G Total game outcome vs optimal expectation

Bichette 0-for-4 batting 2nd

HOME · Chicago Cubs
  • Manager lineup cost +0.12 R/G Optimal arrangement projects 4.87 vs actual lineup 4.75
  • Player execution −2.75 R/G Players fell 2.75 short of the lineup's 4.75 projection (scored 2)
  • Game variance −2.87 R/G Total game outcome vs optimal expectation

Busch 0-for-4 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 5.0 – 4.9 — actual was 1 – 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.