ARCHIVE April 19, 2026
April 19, 2026 · AL East

Kansas City Royals vs New York Yankees

April 19, 2026Yankee StadiumRain 42°F · 14 mph, Out To RF
AWAY
Kansas City Royals
7-15
0
vs
HOME
New York Yankees
13-9
7

Starting pitchers

AWAY · KC
Cole Ragans
Cole Ragans
IP 4.1
HOME · NYY
Ryan Weathers
Ryan Weathers
IP 7.1

Lineups

AWAY · KC
  1. 1 Maikel Garcia 3B
  2. 2 Bobby Witt SS
  3. 3 Vinnie Pasquantino 1B
  4. 4 Salvador Perez DH
  5. 5 Lane Thomas CF
  6. 6 Starling Marte RF
  7. 7 Isaac Collins LF
  8. 8 Michael Massey 2B
  9. 9 Elias Díaz C
HOME · NYY
  1. 1 Ben Rice DH
  2. 2 Aaron Judge RF
  3. 3 Cody Bellinger LF
  4. 4 Paul Goldschmidt 1B
  5. 5 Trent Grisham CF
  6. 6 Amed Rosario 2B
  7. 7 Austin Wells C
  8. 8 José Caballero SS
  9. 9 Ryan McMahon 3B

Box score

  123456789 R
KC 000000000 0
NYY 310030000 7

Manager comparison

Both managers grade C / C+ entering this matchup.

AWAY · KC
Matt Quatraro
C Lineup 1.9 R Bunts 1.1 R IBBs 0.8 R
HOME · NYY
Aaron Boone
C+ Lineup 1.5 R Bunts 0.0 R IBBs 1.1 R

Recent form

AWAY · KC
6-4 W1 +1 run diff
WLLWWWWWLL
HOME · NYY
7-3 L1 +26 run diff
LWLWWWWWLW

Season series: 0-3 with KC 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 · Kansas City Royals
  • Manager lineup cost +0.10 R/G Optimal arrangement projects 3.46 vs actual lineup 3.36
  • Player execution −3.36 R/G Players fell 3.36 short of the lineup's 3.36 projection (scored 0)
  • Game variance −3.46 R/G Total game outcome vs optimal expectation

Garcia 0-for-4 batting 1st

HOME · New York Yankees
  • Manager lineup cost +0.05 R/G Optimal arrangement projects 4.56 vs actual lineup 4.51
  • Player execution +2.49 R/G Players exceeded the lineup's 4.51 projection by 2.49 (scored 7)
  • Game variance +2.44 R/G Total game outcome vs optimal expectation

Goldschmidt 0-for-4 batting 4th

COUNTERFACTUAL

Optimal lineups projected 3.5 – 4.6 — actual was 0 – 7.

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.