ARCHIVE April 6, 2026
April 6, 2026 · AL Cent

Baltimore Orioles vs Chicago White Sox

April 6, 2026Rate FieldCloudy 48°F · 3 mph, Out To CF
AWAY
Baltimore Orioles
4-6
2
vs
HOME
Chicago White Sox
4-6
1

Starting pitchers

AWAY · BAL
Brandon Young
Brandon Young
IP 5
HOME · CWS
Erick Fedde
Erick Fedde
IP 6

Lineups

AWAY · BAL
  1. 1 Taylor Ward LF
  2. 2 Gunnar Henderson SS
  3. 3 Pete Alonso 1B
  4. 4 Adley Rutschman C
  5. 5 Tyler O'Neill RF
  6. 6 Ryan Mountcastle DH
  7. 7 Colton Cowser CF
  8. 8 Coby Mayo 3B
  9. 9 Jeremiah Jackson 2B
HOME · CWS
  1. 1 Chase Meidroth 2B
  2. 2 Munetaka Murakami 1B
  3. 3 Miguel Vargas 3B
  4. 4 Colson Montgomery SS
  5. 5 Austin Hays LF
  6. 6 Andrew Benintendi DH
  7. 7 Edgar Quero C
  8. 8 Tristan Peters RF
  9. 9 Luisangel Acuña CF

Box score

  123456789 R
BAL 000101000 2
CWS 000000001 1

Manager comparison

Both managers grade C+ / D- entering this matchup.

AWAY · BAL
Craig Albernaz
C+ Lineup 1.2 R Bunts 0.3 R IBBs 1.8 R
HOME · CWS
Will Venable
D- Lineup 3.2 R Bunts 2.2 R IBBs 1.1 R

Recent form

AWAY · BAL
3-7 L2 -25 run diff
LLWWLLLLWL
HOME · CWS
6-4 L3 +9 run diff
LLLWLWWWWW

Season series: 1-0 with BAL listed first across 1 prior meeting.

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 +0.12 R/G Optimal arrangement projects 3.67 vs actual lineup 3.55
  • Player execution −1.55 R/G Players fell 1.55 short of the lineup's 3.55 projection (scored 2)
  • Game variance −1.67 R/G Total game outcome vs optimal expectation

Alonso 0-for-4 batting 3rd

HOME · Chicago White Sox
  • Manager lineup cost −0.02 R/G Optimal arrangement projects 4.09 vs actual lineup 4.11
  • Player execution −3.11 R/G Players fell 3.11 short of the lineup's 4.11 projection (scored 1)
  • Game variance −3.09 R/G Total game outcome vs optimal expectation

Murakami 0-for-3 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 3.7 – 4.1 — actual was 2 – 1.

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.