ARCHIVE May 5, 2026
May 5, 2026 · NL West

San Diego Padres vs San Francisco Giants

May 5, 2026Oracle ParkPartly Cloudy 59°F · 11 mph, Out To CF
AWAY
San Diego Padres
21-14
10
vs
HOME
San Francisco Giants
14-22
5

Starting pitchers

AWAY · SD
Walker Buehler
Walker Buehler
IP 5.1
HOME · SF
Logan Webb
Logan Webb
IP 4

Lineups

AWAY · SD
  1. 1 Jackson Merrill CF
  2. 2 Manny Machado 3B
  3. 3 Miguel Andujar DH
  4. 4 Gavin Sheets 1B
  5. 5 Fernando Tatis Jr. RF
  6. 6 Xander Bogaerts SS
  7. 7 Nick Castellanos LF
  8. 8 Luis Campusano C
  9. 9 Sung-Mun Song 2B
HOME · SF
  1. 1 Jung Hoo Lee RF
  2. 2 Casey Schmitt 2B
  3. 3 Rafael Devers 1B
  4. 4 Heliot Ramos LF
  5. 5 Bryce Eldridge DH
  6. 6 Matt Chapman 3B
  7. 7 Willy Adames SS
  8. 8 Drew Gilbert CF
  9. 9 Jesus Rodriguez C

Box score

  123456789 R
SD 010511020 10
SF 220000100 5

Manager comparison

Both managers grade B / B- entering this matchup.

AWAY · SD
Craig Stammen
B Lineup 0.8 R Bunts 0.4 R IBBs 0.2 R
HOME · SF
Tony Vitello
B- Lineup 0.8 R Bunts 0.7 R IBBs 1.4 R

Recent form

AWAY · SD
4-6 L1 -6 run diff
LWWLWLLLLW
HOME · SF
1-8 L2 -25 run diff
LLWLLLLL?L

Season series: 2-1 with SD 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 · San Diego Padres
  • Manager lineup cost −0.08 R/G Optimal arrangement projects 4.72 vs actual lineup 4.80
  • Player execution +5.20 R/G Players exceeded the lineup's 4.80 projection by 5.20 (scored 10)
  • Game variance +5.28 R/G Total game outcome vs optimal expectation

Machado 0-for-5 batting 2nd

HOME · San Francisco Giants
  • Manager lineup cost −0.06 R/G Optimal arrangement projects 4.81 vs actual lineup 4.87
  • Player execution +0.13 R/G Players exceeded the lineup's 4.87 projection by 0.13 (scored 5)
  • Game variance +0.19 R/G Total game outcome vs optimal expectation

Rodriguez HR from the 9-hole

COUNTERFACTUAL

Optimal lineups projected 4.7 – 4.8 — actual was 10 – 5.

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.