ARCHIVE April 1, 2026
April 1, 2026 · AL East

Texas Rangers vs Baltimore Orioles

April 1, 2026Oriole Park at Camden YardsPartly Cloudy 81°F · 5 mph, Out To RF
AWAY
Texas Rangers
4-2
3
vs
HOME
Baltimore Orioles
3-3
8

Starting pitchers

AWAY · TEX
Nathan Eovaldi
Nathan Eovaldi
IP 4
HOME · BAL
Trevor Rogers
Trevor Rogers
IP 6

Lineups

AWAY · TEX
  1. 1 Brandon Nimmo DH
  2. 2 Wyatt Langford CF
  3. 3 Corey Seager SS
  4. 4 Jake Burger 1B
  5. 5 Andrew McCutchen RF
  6. 6 Danny Jansen C
  7. 7 Josh Jung 3B
  8. 8 Ezequiel Duran 2B
  9. 9 Sam Haggerty LF
HOME · BAL
  1. 1 Taylor Ward DH
  2. 2 Gunnar Henderson SS
  3. 3 Pete Alonso 1B
  4. 4 Samuel Basallo C
  5. 5 Coby Mayo 3B
  6. 6 Dylan Beavers LF
  7. 7 Colton Cowser RF
  8. 8 Leody Taveras CF
  9. 9 Jeremiah Jackson 2B

Box score

  123456789 R
TEX 000200010 3
BAL 022031000 8

Manager comparison

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

AWAY · TEX
Skip Schumaker
B- Lineup 1.0 R Bunts 0.3 R IBBs 0.9 R
HOME · BAL
Craig Albernaz
C+ Lineup 1.2 R Bunts 0.3 R IBBs 1.8 R

Recent form

AWAY · TEX
3-7 L2 -20 run diff
LLWLLLWWLL
HOME · BAL
3-7 L2 -25 run diff
LLWWLLLLWL

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 · Texas Rangers
  • Manager lineup cost −0.01 R/G Optimal arrangement projects 4.35 vs actual lineup 4.36
  • Player execution −1.36 R/G Players fell 1.36 short of the lineup's 4.36 projection (scored 3)
  • Game variance −1.35 R/G Total game outcome vs optimal expectation

Langford 0-for-4 batting 2nd

HOME · Baltimore Orioles
  • Manager lineup cost +0.05 R/G Optimal arrangement projects 4.57 vs actual lineup 4.53
  • Player execution +3.47 R/G Players exceeded the lineup's 4.53 projection by 3.47 (scored 8)
  • Game variance +3.43 R/G Total game outcome vs optimal expectation

Henderson 0-for-4 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 4.3 – 4.6 — actual was 3 – 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.