ARCHIVE April 3, 2026
April 3, 2026 · AL West

Cincinnati Reds vs Texas Rangers

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

Starting pitchers

AWAY · CIN
Brady Singer
Brady Singer
IP 5
HOME · TEX
MacKenzie Gore
MacKenzie Gore
IP 6

Lineups

AWAY · CIN
  1. 1 Matt McLain 2B
  2. 2 Dane Myers CF
  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 Josh Smith 2B
  7. 7 Josh Jung 3B
  8. 8 Evan Carter CF
  9. 9 Danny Jansen C

Box score

  123456789 R
CIN 020001002 5
TEX 020000100 3

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 4.00 vs actual lineup 4.07
  • Player execution +0.93 R/G Players exceeded the lineup's 4.07 projection by 0.93 (scored 5)
  • Game variance +1.00 R/G Total game outcome vs optimal expectation

Stephenson HR from the 7-hole

HOME · Texas Rangers
  • Manager lineup cost +0.07 R/G Optimal arrangement projects 4.37 vs actual lineup 4.31
  • Player execution −1.31 R/G Players fell 1.31 short of the lineup's 4.31 projection (scored 3)
  • Game variance −1.37 R/G Total game outcome vs optimal expectation

Seager 0-for-4 batting 3rd

COUNTERFACTUAL

Optimal lineups projected 4.0 – 4.4 — actual was 5 – 3.

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.