ARCHIVE April 23, 2026
April 23, 2026 · NL East

Minnesota Twins vs New York Mets

April 23, 2026Citi FieldPartly Cloudy 69°F · 8 mph, L To R
AWAY
Minnesota Twins
12-13
8
vs
HOME
New York Mets
9-16
10

Starting pitchers

AWAY · MIN
Joe Ryan
Joe Ryan
IP 5
HOME · NYM
David Peterson
David Peterson
IP 3.1

Lineups

AWAY · MIN
  1. 1 Byron Buxton CF
  2. 2 Trevor Larnach LF
  3. 3 Josh Bell DH
  4. 4 Ryan Jeffers C
  5. 5 Kody Clemens 1B
  6. 6 Austin Martin RF
  7. 7 Luke Keaschall 2B
  8. 8 Brooks Lee SS
  9. 9 Tristan Gray 3B
HOME · NYM
  1. 1 Bo Bichette 3B
  2. 2 Juan Soto DH
  3. 3 Francisco Alvarez C
  4. 4 Luis Robert Jr. CF
  5. 5 Brett Baty RF
  6. 6 Mark Vientos 1B
  7. 7 Marcus Semien 2B
  8. 8 Ronny Mauricio SS
  9. 9 Carson Benge LF

Box score

  123456789 R
MIN 100101041 8
NYM 330100030 10

Manager comparison

Both managers grade B / D+ entering this matchup.

AWAY · MIN
Derek Shelton
B Lineup 0.8 R Bunts 0.5 R IBBs 0.4 R
HOME · NYM
Carlos Mendoza
D+ Lineup 2.9 R Bunts 1.4 R IBBs 0.9 R

Recent form

AWAY · MIN
3-7 L3 -21 run diff
LLLWWLLWLL
HOME · NYM
5-4 L1 +2 run diff
LW?WWLWLLW

Season series: 1-2 with MIN 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 · Minnesota Twins
  • Manager lineup cost +0.07 R/G Optimal arrangement projects 4.77 vs actual lineup 4.70
  • Player execution +3.30 R/G Players exceeded the lineup's 4.70 projection by 3.30 (scored 8)
  • Game variance +3.23 R/G Total game outcome vs optimal expectation

Gray HR from the 9-hole

HOME · New York Mets
  • Manager lineup cost −0.05 R/G Optimal arrangement projects 3.88 vs actual lineup 3.93
  • Player execution +6.07 R/G Players exceeded the lineup's 3.93 projection by 6.07 (scored 10)
  • Game variance +6.12 R/G Total game outcome vs optimal expectation

Soto 0-for-3 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 4.8 – 3.9 — actual was 8 – 10.

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.