ARCHIVE April 5, 2026
April 5, 2026 · AL East

San Diego Padres vs Boston Red Sox

April 5, 2026Fenway ParkOvercast 47°F · 2 mph, Out To RF
AWAY
San Diego Padres
4-5
8
vs
HOME
Boston Red Sox
2-7
6

Starting pitchers

AWAY · SD
Walker Buehler
Walker Buehler
IP 2.2
HOME · BOS
Ranger Suarez
Ranger Suarez
IP 4

Lineups

AWAY · SD
  1. 1 Ramón Laureano LF
  2. 2 Fernando Tatis RF
  3. 3 Jackson Merrill CF
  4. 4 Manny Machado 3B
  5. 5 Miguel Andujar DH
  6. 6 Xander Bogaerts SS
  7. 7 Nick Castellanos 1B
  8. 8 Jake Cronenworth 2B
  9. 9 Luis Campusano C
HOME · BOS
  1. 1 Roman Anthony DH
  2. 2 Trevor Story SS
  3. 3 Jarren Duran CF
  4. 4 Willson Contreras 1B
  5. 5 Wilyer Abreu RF
  6. 6 Masataka Yoshida LF
  7. 7 Caleb Durbin 3B
  8. 8 Marcelo Mayer 2B
  9. 9 Carlos Narváez C

Box score

  123456789 R
SD 000330011 8
BOS 004000200 6

Manager comparison

Both managers grade B / C- entering this matchup.

AWAY · SD
Craig Stammen
B Lineup 0.8 R Bunts 0.4 R IBBs 0.2 R
HOME · BOS
Chad Tracy
C- Lineup 2.8 R Bunts 0.1 R IBBs 0.2 R Interim

Recent form

AWAY · SD
4-6 L1 -6 run diff
LWWLWLLLLW
HOME · BOS
5-5 W1 -3 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 · San Diego Padres
  • Manager lineup cost −0.02 R/G Optimal arrangement projects 3.04 vs actual lineup 3.06
  • Player execution +4.94 R/G Players exceeded the lineup's 3.06 projection by 4.94 (scored 8)
  • Game variance +4.96 R/G Total game outcome vs optimal expectation

Laureano 0-for-5 batting 1st

HOME · Boston Red Sox
  • Manager lineup cost +0.05 R/G Optimal arrangement projects 4.87 vs actual lineup 4.83
  • Player execution +1.17 R/G Players exceeded the lineup's 4.83 projection by 1.17 (scored 6)
  • Game variance +1.13 R/G Total game outcome vs optimal expectation

Anthony 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.0 – 4.9 — actual was 8 – 6.

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.