ARCHIVE April 24, 2026
April 24, 2026 · AL Cent

Los Angeles Angels vs Kansas City Royals

April 24, 2026Kauffman StadiumClear 69°F · 8 mph, L To R
AWAY
Los Angeles Angels
12-15
3
vs
HOME
Kansas City Royals
9-17
6

Starting pitchers

AWAY · LAA
Yusei Kikuchi
Yusei Kikuchi
IP 5
HOME · KC
Noah Cameron
Noah Cameron
IP 6.1

Lineups

AWAY · LAA
  1. 1 Zach Neto SS
  2. 2 Mike Trout CF
  3. 3 Jo Adell RF
  4. 4 Jorge Soler DH
  5. 5 Oswald Peraza 3B
  6. 6 Nolan Schanuel 1B
  7. 7 Vaughn Grissom 2B
  8. 8 Logan O'Hoppe C
  9. 9 Bryce Teodosio LF
HOME · KC
  1. 1 Nick Loftin 3B
  2. 2 Bobby Witt Jr. SS
  3. 3 Salvador Perez 1B
  4. 4 Lane Thomas CF
  5. 5 Starling Marte RF
  6. 6 Carter Jensen DH
  7. 7 Isaac Collins LF
  8. 8 Elias Díaz C
  9. 9 Michael Massey 2B

Box score

  123456789 R
LAA 000000300 3
KC 000500010 6

Manager comparison

Both managers grade C / C entering this matchup.

AWAY · LAA
Kurt Suzuki
C Lineup 1.4 R Bunts 2.0 R IBBs 2.1 R
HOME · KC
Matt Quatraro
C Lineup 1.9 R Bunts 1.1 R IBBs 0.8 R

Recent form

AWAY · LAA
3-7 L1 -10 run diff
LWWLLWLLLL
HOME · KC
6-4 W1 +1 run diff
WLLWWWWWLL

Season series: 0-3 with LAA 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 · Los Angeles Angels
  • Manager lineup cost −0.03 R/G Optimal arrangement projects 4.71 vs actual lineup 4.73
  • Player execution −1.73 R/G Players fell 1.73 short of the lineup's 4.73 projection (scored 3)
  • Game variance −1.71 R/G Total game outcome vs optimal expectation

Grissom 2-for-4 from the 7-hole

HOME · Kansas City Royals
  • Manager lineup cost +0.15 R/G Optimal arrangement projects 4.78 vs actual lineup 4.62
  • Player execution +1.38 R/G Players exceeded the lineup's 4.62 projection by 1.38 (scored 6)
  • Game variance +1.22 R/G Total game outcome vs optimal expectation

Loftin 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 4.7 – 4.8 — actual was 3 – 6.

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.