ARCHIVE May 2, 2026
May 2, 2026 · AL East

San Francisco Giants vs Tampa Bay Rays

May 2, 2026Tropicana FieldDome 72°F · 0 mph, None
AWAY
San Francisco Giants
13-20
1
vs
HOME
Tampa Bay Rays
20-12
5

Starting pitchers

AWAY · SF
Landen Roupp
Landen Roupp
IP 4.1
HOME · TB
Jesse Scholtens
Jesse Scholtens
IP 3

Lineups

AWAY · SF
  1. 1 Jung Hoo Lee RF
  2. 2 Luis Arraez 2B
  3. 3 Casey Schmitt DH
  4. 4 Rafael Devers 1B
  5. 5 Matt Chapman 3B
  6. 6 Willy Adames SS
  7. 7 Heliot Ramos LF
  8. 8 Drew Gilbert CF
  9. 9 Patrick Bailey C
HOME · TB
  1. 1 Chandler Simpson LF
  2. 2 Cedric Mullins CF
  3. 3 Junior Caminero 3B
  4. 4 Jonathan Aranda 1B
  5. 5 Jake Fraley DH
  6. 6 Richie Palacios 2B
  7. 7 Jonny DeLuca RF
  8. 8 Hunter Feduccia C
  9. 9 Taylor Walls SS

Box score

  123456789 R
SF 000001000 1
TB 000130010 5

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 +0.07 R/G Optimal arrangement projects 3.51 vs actual lineup 3.44
  • Player execution −2.44 R/G Players fell 2.44 short of the lineup's 3.44 projection (scored 1)
  • Game variance −2.51 R/G Total game outcome vs optimal expectation

Lee 0-for-4 batting 1st

HOME · Tampa Bay Rays
  • Manager lineup cost +0.14 R/G Optimal arrangement projects 3.47 vs actual lineup 3.34
  • Player execution +1.66 R/G Players exceeded the lineup's 3.34 projection by 1.66 (scored 5)
  • Game variance +1.53 R/G Total game outcome vs optimal expectation

DeLuca 2-for-4 from the 7-hole

COUNTERFACTUAL

Optimal lineups projected 3.5 – 3.5 — actual was 1 – 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.