ARCHIVE April 4, 2026
April 4, 2026 · AL West

Cincinnati Reds vs Texas Rangers

April 4, 2026Globe Life FieldRoof Closed 74°F · 0 mph, None
AWAY
Cincinnati Reds
5-3
2
vs
HOME
Texas Rangers
4-4
0

Starting pitchers

AWAY · CIN
Rhett Lowder
Rhett Lowder
IP 6
HOME · TEX
Kumar Rocker
Kumar Rocker
IP 5

Lineups

AWAY · CIN
  1. 1 TJ Friedl CF
  2. 2 Matt McLain 2B
  3. 3 Elly De La Cruz SS
  4. 4 Sal Stewart 1B
  5. 5 Eugenio Suárez 3B
  6. 6 Nathaniel Lowe DH
  7. 7 Spencer Steer LF
  8. 8 Will Benson RF
  9. 9 Jose Trevino C
HOME · TEX
  1. 1 Brandon Nimmo RF
  2. 2 Wyatt Langford LF
  3. 3 Corey Seager SS
  4. 4 Jake Burger 1B
  5. 5 Joc Pederson DH
  6. 6 Josh Smith 2B
  7. 7 Josh Jung 3B
  8. 8 Evan Carter CF
  9. 9 Danny Jansen C

Box score

  123456789 R
CIN 200000000 2
TEX 000000000 0

Manager comparison

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

AWAY · CIN
Terry Francona
B- Lineup 0.9 R Bunts 0.8 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 · CIN
1-9 L8 -46 run diff
LLLLLLLLWL
HOME · TEX
3-7 L2 -20 run diff
LLWLLLWWLL

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 · Cincinnati Reds
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 3.47 vs actual lineup 3.43
  • Player execution −1.43 R/G Players fell 1.43 short of the lineup's 3.43 projection (scored 2)
  • Game variance −1.47 R/G Total game outcome vs optimal expectation

Friedl 0-for-4 batting 1st

HOME · Texas Rangers
  • Manager lineup cost −0.01 R/G Optimal arrangement projects 3.47 vs actual lineup 3.47
  • Player execution −3.47 R/G Players fell 3.47 short of the lineup's 3.47 projection (scored 0)
  • Game variance −3.47 R/G Total game outcome vs optimal expectation

Nimmo 0-for-3 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.5 – 3.5 — actual was 2 – 0.

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.