ARCHIVE April 23, 2026
April 23, 2026 · AL West

Pittsburgh Pirates vs Texas Rangers

April 23, 2026Globe Life FieldRoof Closed 74°F · 0 mph, None
AWAY
Pittsburgh Pirates
14-11
1
vs
HOME
Texas Rangers
13-12
6

Starting pitchers

AWAY · PIT
Bubba Chandler
Bubba Chandler
IP 4
HOME · TEX
Jacob deGrom
Jacob deGrom
IP 5.2

Lineups

AWAY · PIT
  1. 1 Oneil Cruz CF
  2. 2 Brandon Lowe 2B
  3. 3 Bryan Reynolds LF
  4. 4 Marcell Ozuna DH
  5. 5 Ryan O'Hearn RF
  6. 6 Nick Gonzales 3B
  7. 7 Spencer Horwitz 1B
  8. 8 Konnor Griffin SS
  9. 9 Joey Bart C
HOME · TEX
  1. 1 Brandon Nimmo RF
  2. 2 Joc Pederson DH
  3. 3 Corey Seager SS
  4. 4 Jake Burger 1B
  5. 5 Josh Jung 3B
  6. 6 Evan Carter CF
  7. 7 Danny Jansen C
  8. 8 Josh Smith 2B
  9. 9 Alejandro Osuna LF

Box score

  123456789 R
PIT 000010000 1
TEX 002400000 6

Manager comparison

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

AWAY · PIT
Don Kelly
C- Lineup 2.3 R Bunts 0.3 R IBBs 0.8 R
HOME · TEX
Skip Schumaker
B- Lineup 1.0 R Bunts 0.3 R IBBs 0.9 R

Recent form

AWAY · PIT
5-5 W2 +1 run diff
WWLWWWLLLL
HOME · TEX
3-7 L2 -20 run diff
LLWLLLWWLL

Season series: 1-2 with PIT 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 · Pittsburgh Pirates
  • Manager lineup cost +0.09 R/G Optimal arrangement projects 2.85 vs actual lineup 2.75
  • Player execution −1.75 R/G Players fell 1.75 short of the lineup's 2.75 projection (scored 1)
  • Game variance −1.85 R/G Total game outcome vs optimal expectation

Lowe 0-for-4 batting 2nd

HOME · Texas Rangers
  • Manager lineup cost +0.03 R/G Optimal arrangement projects 4.34 vs actual lineup 4.31
  • Player execution +1.69 R/G Players exceeded the lineup's 4.31 projection by 1.69 (scored 6)
  • Game variance +1.66 R/G Total game outcome vs optimal expectation

Burger 0-for-4 batting 4th

COUNTERFACTUAL

Optimal lineups projected 2.9 – 4.3 — actual was 1 – 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.