ARCHIVE April 11, 2026
April 11, 2026 · NL Cent

Boston Red Sox vs St. Louis Cardinals

April 11, 2026Busch StadiumCloudy 73°F · 9 mph, In From RF
AWAY
Boston Red Sox
5-9
7
vs
HOME
St. Louis Cardinals
8-6
1

Starting pitchers

AWAY · BOS
Ranger Suarez
Ranger Suarez
IP 6
HOME · STL
Kyle Leahy
Kyle Leahy
IP 4

Lineups

AWAY · BOS
  1. 1 Roman Anthony DH
  2. 2 Caleb Durbin 3B
  3. 3 Jarren Duran LF
  4. 4 Willson Contreras 1B
  5. 5 Wilyer Abreu RF
  6. 6 Trevor Story SS
  7. 7 Marcelo Mayer 2B
  8. 8 Carlos Narváez C
  9. 9 Ceddanne Rafaela CF
HOME · STL
  1. 1 JJ Wetherholt 2B
  2. 2 Iván Herrera DH
  3. 3 Jordan Walker RF
  4. 4 Nolan Gorman 3B
  5. 5 Ramón Urías 1B
  6. 6 José Fermín LF
  7. 7 Thomas Saggese SS
  8. 8 Pedro Pagés C
  9. 9 Victor Scott CF

Box score

  123456789 R
BOS 000200005 7
STL 000000010 1

Manager comparison

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

AWAY · BOS
Chad Tracy
C- Lineup 2.8 R Bunts 0.1 R IBBs 0.2 R Interim
HOME · STL
Oliver Marmol
B- Lineup 1.2 R Bunts 0.7 R IBBs 0.3 R

Recent form

AWAY · BOS
5-5 W1 -3 run diff
WLWWWLLWLL
HOME · STL
7-2 W1 +13 run diff
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Season series: 2-1 with BOS 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 · Boston Red Sox
  • Manager lineup cost −0.04 R/G Optimal arrangement projects 4.81 vs actual lineup 4.85
  • Player execution +2.15 R/G Players exceeded the lineup's 4.85 projection by 2.15 (scored 7)
  • Game variance +2.19 R/G Total game outcome vs optimal expectation

Narváez 2-for-4 from the 8-hole

HOME · St. Louis Cardinals
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 3.56 vs actual lineup 3.52
  • Player execution −2.52 R/G Players fell 2.52 short of the lineup's 3.52 projection (scored 1)
  • Game variance −2.56 R/G Total game outcome vs optimal expectation

Herrera 0-for-4 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 4.8 – 3.6 — actual was 7 – 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.