ARCHIVE April 6, 2026
April 6, 2026 · AL East

Chicago Cubs vs Tampa Bay Rays

April 6, 2026Tropicana FieldDome 72°F · 0 mph, None
AWAY
Chicago Cubs
4-6
4
vs
HOME
Tampa Bay Rays
5-5
6

Starting pitchers

AWAY · CHC
Jameson Taillon
Jameson Taillon
IP 6
HOME · TB
Shane McClanahan
Shane McClanahan
IP 4

Lineups

AWAY · CHC
  1. 1 Nico Hoerner 2B
  2. 2 Alex Bregman 3B
  3. 3 Ian Happ LF
  4. 4 Carson Kelly C
  5. 5 Michael Busch 1B
  6. 6 Dansby Swanson SS
  7. 7 Matt Shaw RF
  8. 8 Pete Crow-Armstrong CF
  9. 9 Miguel Amaya DH
HOME · TB
  1. 1 Yandy Díaz DH
  2. 2 Jonathan Aranda 1B
  3. 3 Jake Fraley RF
  4. 4 Junior Caminero 3B
  5. 5 Chandler Simpson LF
  6. 6 Nick Fortes C
  7. 7 Cedric Mullins CF
  8. 8 Ben Williamson 2B
  9. 9 Taylor Walls SS

Box score

  123456789 R
CHC 020001001 4
TB 031000200 6

Manager comparison

Both managers grade C / B- entering this matchup.

AWAY · CHC
Craig Counsell
C Lineup 1.7 R Bunts 0.4 R IBBs 0.3 R
HOME · TB
Kevin Cash
B- Lineup 0.9 R Bunts 2.4 R IBBs 2.1 R

Recent form

AWAY · CHC
10-0 W10 +27 run diff
WWWWWWWWWW
HOME · TB
8-2 L1 +17 run diff
LWWWWWWWLW

Season series: 1-0 with CHC listed first across 1 prior meeting.

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 · Chicago Cubs
  • Manager lineup cost +0.09 R/G Optimal arrangement projects 3.84 vs actual lineup 3.75
  • Player execution +0.25 R/G Players exceeded the lineup's 3.75 projection by 0.25 (scored 4)
  • Game variance +0.16 R/G Total game outcome vs optimal expectation

Shaw HR from the 7-hole

HOME · Tampa Bay Rays
  • Manager lineup cost +0.00 R/G Optimal arrangement projects 4.00 vs actual lineup 4.00
  • Player execution +2.00 R/G Players exceeded the lineup's 4.00 projection by 2.00 (scored 6)
  • Game variance +2.00 R/G Total game outcome vs optimal expectation

Mullins HR from the 7-hole

COUNTERFACTUAL

Optimal lineups projected 3.8 – 4.0 — actual was 4 – 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.