ARCHIVE April 13, 2026
April 13, 2026 · NL Cent

Cleveland Guardians vs St. Louis Cardinals

April 13, 2026Busch StadiumPartly Cloudy 80°F · 15 mph, Out To LF
AWAY
Cleveland Guardians
10-7
9
vs
HOME
St. Louis Cardinals
8-8
3

Starting pitchers

AWAY · CLE
Gavin Williams
Gavin Williams
IP 5
HOME · STL
Matthew Liberatore
Matthew Liberatore
IP 5

Lineups

AWAY · CLE
  1. 1 Steven Kwan LF
  2. 2 Angel Martínez RF
  3. 3 José Ramírez 3B
  4. 4 Rhys Hoskins 1B
  5. 5 David Fry DH
  6. 6 Daniel Schneemann CF
  7. 7 Juan Brito 2B
  8. 8 Austin Hedges C
  9. 9 Brayan Rocchio SS
HOME · STL
  1. 1 JJ Wetherholt 2B
  2. 2 Iván Herrera DH
  3. 3 Alec Burleson 1B
  4. 4 Jordan Walker RF
  5. 5 Nolan Gorman 3B
  6. 6 Masyn Winn SS
  7. 7 Nathan Church LF
  8. 8 Pedro Pagés C
  9. 9 Victor Scott II CF

Box score

  123456789 R
CLE 100302030 9
STL 100001010 3

Manager comparison

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

AWAY · CLE
Stephen Vogt
C+ Lineup 1.5 R Bunts 0.7 R IBBs 0.4 R
HOME · STL
Oliver Marmol
B- Lineup 1.2 R Bunts 0.7 R IBBs 0.3 R

Recent form

AWAY · CLE
6-4 W3 +7 run diff
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HOME · STL
7-2 W1 +13 run diff
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Season series: 1-2 with CLE 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 · Cleveland Guardians
  • Manager lineup cost +0.12 R/G Optimal arrangement projects 4.34 vs actual lineup 4.22
  • Player execution +4.78 R/G Players exceeded the lineup's 4.22 projection by 4.78 (scored 9)
  • Game variance +4.66 R/G Total game outcome vs optimal expectation

Rocchio HR from the 9-hole

HOME · St. Louis Cardinals
  • Manager lineup cost −0.04 R/G Optimal arrangement projects 3.14 vs actual lineup 3.18
  • Player execution −0.18 R/G Players fell 0.18 short of the lineup's 3.18 projection (scored 3)
  • Game variance −0.14 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

COUNTERFACTUAL

Optimal lineups projected 4.3 – 3.1 — actual was 9 – 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.