ARCHIVE April 19, 2026
April 19, 2026 · AL Cent

Baltimore Orioles vs Cleveland Guardians

April 19, 2026Progressive FieldPartly Cloudy 46°F · 10 mph, L To R
AWAY
Baltimore Orioles
10-12
4
vs
HOME
Cleveland Guardians
13-10
8

Starting pitchers

AWAY · BAL
Trevor Rogers
Trevor Rogers
IP 5
HOME · CLE
Joey Cantillo
Joey Cantillo
IP 4.2

Lineups

AWAY · BAL
  1. 1 Taylor Ward LF
  2. 2 Gunnar Henderson SS
  3. 3 Pete Alonso 1B
  4. 4 Johnathan Rodríguez RF
  5. 5 Jeremiah Jackson 2B
  6. 6 Weston Wilson 3B
  7. 7 Coby Mayo DH
  8. 8 Sam Huff C
  9. 9 Blaze Alexander CF
HOME · CLE
  1. 1 Steven Kwan CF
  2. 2 Angel Martínez LF
  3. 3 José Ramírez DH
  4. 4 Rhys Hoskins 1B
  5. 5 David Fry RF
  6. 6 Daniel Schneemann 3B
  7. 7 Juan Brito 2B
  8. 8 Austin Hedges C
  9. 9 Brayan Rocchio SS

Box score

  123456789 R
BAL 000040000 4
CLE 001410020 8

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 · CLE
Stephen Vogt
C+ Lineup 1.5 R Bunts 0.7 R IBBs 0.4 R

Recent form

AWAY · BAL
3-7 L2 -25 run diff
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HOME · CLE
6-4 W3 +7 run diff
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Season series: 1-3 with BAL listed first across 4 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 +0.07 R/G Optimal arrangement projects 3.27 vs actual lineup 3.20
  • Player execution +0.80 R/G Players exceeded the lineup's 3.20 projection by 0.80 (scored 4)
  • Game variance +0.73 R/G Total game outcome vs optimal expectation

Henderson 0-for-4 batting 2nd

HOME · Cleveland Guardians
  • Manager lineup cost +0.14 R/G Optimal arrangement projects 4.30 vs actual lineup 4.15
  • Player execution +3.85 R/G Players exceeded the lineup's 4.15 projection by 3.85 (scored 8)
  • Game variance +3.70 R/G Total game outcome vs optimal expectation

Kwan 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.3 – 4.3 — actual was 4 – 8.

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.