ARCHIVE May 3, 2026
May 3, 2026 · AL East

San Francisco Giants vs Tampa Bay Rays

May 3, 2026Tropicana FieldDome 72°F · 0 mph, None
AWAY
San Francisco Giants
13-21
1
vs
HOME
Tampa Bay Rays
21-12
2

Starting pitchers

AWAY · SF
Tyler Mahle
Tyler Mahle
IP 5.1
HOME · TB
Steven Matz
Steven Matz
IP 6

Lineups

AWAY · SF
  1. 1 Heliot Ramos LF
  2. 2 Rafael Devers 1B
  3. 3 Casey Schmitt DH
  4. 4 Luis Arraez 2B
  5. 5 Matt Chapman 3B
  6. 6 Willy Adames SS
  7. 7 Jung Hoo Lee CF
  8. 8 Jerar Encarnacion RF
  9. 9 Eric Haase C
HOME · TB
  1. 1 Chandler Simpson LF
  2. 2 Junior Caminero 3B
  3. 3 Jonathan Aranda DH
  4. 4 Ryan Vilade 1B
  5. 5 Jake Fraley RF
  6. 6 Ben Williamson 2B
  7. 7 Cedric Mullins CF
  8. 8 Nick Fortes C
  9. 9 Taylor Walls SS

Box score

  12345678910 R
SF 1000000000 1
TB 0000000101 2

Manager comparison

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

AWAY · SF
Tony Vitello
B- Lineup 0.8 R Bunts 0.7 R IBBs 1.4 R
HOME · TB
Kevin Cash
B- Lineup 0.9 R Bunts 2.4 R IBBs 2.1 R

Recent form

AWAY · SF
1-8 L2 -25 run diff
LLWLLLLL?L
HOME · TB
8-2 L1 +17 run diff
LWWWWWWWLW

Season series: 0-3 with SF 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 Francisco Giants
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 3.83 vs actual lineup 3.79
  • Player execution −2.79 R/G Players fell 2.79 short of the lineup's 3.79 projection (scored 1)
  • Game variance −2.83 R/G Total game outcome vs optimal expectation

Arraez 0-for-4 batting 4th

HOME · Tampa Bay Rays
  • Manager lineup cost +0.05 R/G Optimal arrangement projects 4.39 vs actual lineup 4.35
  • Player execution −2.35 R/G Players fell 2.35 short of the lineup's 4.35 projection (scored 2)
  • Game variance −2.39 R/G Total game outcome vs optimal expectation

Simpson 0-for-5 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.8 – 4.4 — actual was 1 – 2.

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.