ARCHIVE April 22, 2026
April 22, 2026 · AL Cent

Baltimore Orioles vs Kansas City Royals

April 22, 2026Kauffman StadiumPartly Cloudy 66°F · 8 mph, R To L
AWAY
Baltimore Orioles
12-13
8
vs
HOME
Kansas City Royals
8-17
6

Starting pitchers

AWAY · BAL
Chris Bassitt
Chris Bassitt
IP 5.1
HOME · KC
Michael Wacha
Michael Wacha
IP 5.1

Lineups

AWAY · BAL
  1. 1 Gunnar Henderson SS
  2. 2 Taylor Ward DH
  3. 3 Dylan Beavers RF
  4. 4 Pete Alonso 1B
  5. 5 Samuel Basallo C
  6. 6 Leody Taveras CF
  7. 7 Jeremiah Jackson 2B
  8. 8 Colton Cowser LF
  9. 9 Coby Mayo 3B
HOME · KC
  1. 1 Maikel Garcia 3B
  2. 2 Bobby Witt Jr. SS
  3. 3 Vinnie Pasquantino 1B
  4. 4 Salvador Perez DH
  5. 5 Carter Jensen C
  6. 6 Michael Massey 2B
  7. 7 Jac Caglianone RF
  8. 8 Lane Thomas LF
  9. 9 Kyle Isbel CF

Box score

  123456789 R
BAL 200006000 8
KC 100203000 6

Manager comparison

Both managers grade C+ / C entering this matchup.

AWAY · BAL
Craig Albernaz
C+ Lineup 1.2 R Bunts 0.3 R IBBs 1.8 R
HOME · KC
Matt Quatraro
C Lineup 1.9 R Bunts 1.1 R IBBs 0.8 R

Recent form

AWAY · BAL
3-7 L2 -25 run diff
LLWWLLLLWL
HOME · KC
6-4 W1 +1 run diff
WLLWWWWWLL

Season series: 2-1 with BAL 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 · Baltimore Orioles
  • Manager lineup cost +0.05 R/G Optimal arrangement projects 3.62 vs actual lineup 3.57
  • Player execution +4.43 R/G Players exceeded the lineup's 3.57 projection by 4.43 (scored 8)
  • Game variance +4.38 R/G Total game outcome vs optimal expectation

Mayo HR from the 9-hole

HOME · Kansas City Royals
  • Manager lineup cost +0.12 R/G Optimal arrangement projects 4.81 vs actual lineup 4.69
  • Player execution +1.31 R/G Players exceeded the lineup's 4.69 projection by 1.31 (scored 6)
  • Game variance +1.19 R/G Total game outcome vs optimal expectation

Isbel HR from the 9-hole

COUNTERFACTUAL

Optimal lineups projected 3.6 – 4.8 — actual was 8 – 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.