ARCHIVE April 22, 2026
April 22, 2026 · NL East

Minnesota Twins vs New York Mets

April 22, 2026Citi FieldClear 53°F · 3 mph, In From RF
AWAY
Minnesota Twins
12-12
2
vs
HOME
New York Mets
8-16
3

Starting pitchers

AWAY · MIN
Connor Prielipp
Connor Prielipp
IP 4
HOME · NYM
Clay Holmes
Clay Holmes
IP 7

Lineups

AWAY · MIN
  1. 1 Byron Buxton CF
  2. 2 Trevor Larnach LF
  3. 3 Josh Bell DH
  4. 4 Victor Caratini C
  5. 5 Kody Clemens 1B
  6. 6 Luke Keaschall 2B
  7. 7 Matt Wallner RF
  8. 8 Royce Lewis 3B
  9. 9 Brooks Lee SS
HOME · NYM
  1. 1 Bo Bichette 3B
  2. 2 Juan Soto DH
  3. 3 Luis Robert CF
  4. 4 Francisco Lindor SS
  5. 5 Francisco Alvarez C
  6. 6 Mark Vientos 1B
  7. 7 Marcus Semien 2B
  8. 8 Tommy Pham LF
  9. 9 Tyrone Taylor RF

Box score

  123456789 R
MIN 000101000 2
NYM 100100010 3

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 −0.04 R/G Optimal arrangement projects 2.42 vs actual lineup 2.46
  • Player execution −0.46 R/G Players fell 0.46 short of the lineup's 2.46 projection (scored 2)
  • Game variance −0.42 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

HOME · New York Mets
  • Manager lineup cost +0.05 R/G Optimal arrangement projects 3.93 vs actual lineup 3.88
  • Player execution −0.88 R/G Players fell 0.88 short of the lineup's 3.88 projection (scored 3)
  • Game variance −0.93 R/G Total game outcome vs optimal expectation

Jr. 0-for-4 batting 3rd

COUNTERFACTUAL

Optimal lineups projected 2.4 – 3.9 — actual was 2 – 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.