ARCHIVE March 29, 2026
March 29, 2026 · AL East

Minnesota Twins vs Baltimore Orioles

March 29, 2026Oriole Park at Camden YardsPartly Cloudy 56°F · 13 mph, Out To LF
AWAY
Minnesota Twins
1-2
6
vs
HOME
Baltimore Orioles
2-1
8

Starting pitchers

AWAY · MIN
Bailey Ober
Bailey Ober
IP 4
HOME · BAL
Shane Baz
Shane Baz
IP 5.1

Lineups

AWAY · MIN
  1. 1 Kody Clemens 1B
  2. 2 Byron Buxton CF
  3. 3 Luke Keaschall 2B
  4. 4 Matt Wallner RF
  5. 5 Josh Bell DH
  6. 6 Victor Caratini C
  7. 7 Trevor Larnach LF
  8. 8 Royce Lewis 3B
  9. 9 Tristan Gray SS
HOME · BAL
  1. 1 Taylor Ward LF
  2. 2 Gunnar Henderson SS
  3. 3 Pete Alonso DH
  4. 4 Ryan Mountcastle 1B
  5. 5 Samuel Basallo C
  6. 6 Tyler O'Neill RF
  7. 7 Coby Mayo 3B
  8. 8 Dylan Beavers CF
  9. 9 Jeremiah Jackson 2B

Box score

  123456789 R
MIN 040000110 6
BAL 000302300 8

Manager comparison

Both managers grade B / C+ entering this matchup.

AWAY · MIN
Derek Shelton
B Lineup 0.8 R Bunts 0.5 R IBBs 0.4 R
HOME · BAL
Craig Albernaz
C+ Lineup 1.2 R Bunts 0.3 R IBBs 1.8 R

Recent form

AWAY · MIN
3-7 L3 -21 run diff
LLLWWLLWLL
HOME · BAL
3-7 L2 -25 run diff
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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 · Minnesota Twins
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 4.04 vs actual lineup 4.03
  • Player execution +1.97 R/G Players exceeded the lineup's 4.03 projection by 1.97 (scored 6)
  • Game variance +1.96 R/G Total game outcome vs optimal expectation

Lewis HR from the 8-hole

HOME · Baltimore Orioles
  • Manager lineup cost +0.03 R/G Optimal arrangement projects 3.93 vs actual lineup 3.91
  • Player execution +4.09 R/G Players exceeded the lineup's 3.91 projection by 4.09 (scored 8)
  • Game variance +4.07 R/G Total game outcome vs optimal expectation

Mayo 2-for-4 from the 7-hole

COUNTERFACTUAL

Optimal lineups projected 4.0 – 3.9 — actual was 6 – 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.