ARCHIVE April 5, 2026
April 5, 2026 · AL West

Cincinnati Reds vs Texas Rangers

April 5, 2026Globe Life FieldPartly Cloudy 68°F · 12 mph, Varies
AWAY
Cincinnati Reds
6-3
2
vs
HOME
Texas Rangers
4-5
1

Starting pitchers

AWAY · CIN
Chase Burns
Chase Burns
IP 6
HOME · TEX
Jack Leiter
Jack Leiter
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 DH
  6. 6 Spencer Steer LF
  7. 7 Tyler Stephenson C
  8. 8 Noelvi Marte RF
  9. 9 Ke'Bryan Hayes 3B
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 Evan Carter CF
  7. 7 Kyle Higashioka C
  8. 8 Josh Smith 2B
  9. 9 Ezequiel Duran 3B

Box score

  123456789 R
CIN 000100010 2
TEX 000000100 1

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
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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 · Cincinnati Reds
  • Manager lineup cost −0.06 R/G Optimal arrangement projects 4.73 vs actual lineup 4.79
  • Player execution −2.79 R/G Players fell 2.79 short of the lineup's 4.79 projection (scored 2)
  • Game variance −2.73 R/G Total game outcome vs optimal expectation

McLain 0-for-4 batting 2nd

HOME · Texas Rangers
  • Manager lineup cost −0.03 R/G Optimal arrangement projects 3.16 vs actual lineup 3.19
  • Player execution −2.19 R/G Players fell 2.19 short of the lineup's 3.19 projection (scored 1)
  • Game variance −2.16 R/G Total game outcome vs optimal expectation

Langford 0-for-4 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 4.7 – 3.2 — 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.