ARCHIVE March 29, 2026
March 29, 2026 · NL East

Colorado Rockies vs Miami Marlins

March 29, 2026loanDepot parkRoof Closed 72°F · 0 mph, None
AWAY
Colorado Rockies
0-3
3
vs
HOME
Miami Marlins
3-0
4

Starting pitchers

AWAY · COL
Jose Quintana
Jose Quintana
IP 4.1
HOME · MIA
Max Meyer
Max Meyer
IP 5

Lineups

AWAY · COL
  1. 1 Jake McCarthy LF
  2. 2 Hunter Goodman DH
  3. 3 Willi Castro 2B
  4. 4 Ezequiel Tovar SS
  5. 5 TJ Rumfield 1B
  6. 6 Jordan Beck RF
  7. 7 Brenton Doyle CF
  8. 8 Brett Sullivan C
  9. 9 Kyle Karros 3B
HOME · MIA
  1. 1 Austin Slater RF
  2. 2 Agustín Ramírez C
  3. 3 Jakob Marsee CF
  4. 4 Otto Lopez SS
  5. 5 Connor Norby DH
  6. 6 Heriberto Hernández LF
  7. 7 Xavier Edwards 2B
  8. 8 Deyvison De Los Santos 1B
  9. 9 Javier Sanoja 3B

Box score

  123456789 R
COL 300000000 3
MIA 110000002 4

Manager comparison

Both managers grade C / C+ entering this matchup.

AWAY · COL
Warren Schaeffer
C Lineup 1.5 R Bunts 0.9 R IBBs 1.9 R
HOME · MIA
Clayton McCullough
C+ Lineup 1.4 R Bunts 0.4 R IBBs 0.6 R

Recent form

AWAY · COL
3-6 W2 -7 run diff
WWL?LLLLLW
HOME · MIA
4-6 L1 -6 run diff
LWLLLLWLWW

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 · Colorado Rockies
  • Manager lineup cost +0.06 R/G Optimal arrangement projects 3.46 vs actual lineup 3.40
  • Player execution −0.40 R/G Players fell 0.40 short of the lineup's 3.40 projection (scored 3)
  • Game variance −0.46 R/G Total game outcome vs optimal expectation

McCarthy 0-for-4 batting 1st

HOME · Miami Marlins
  • Manager lineup cost +0.03 R/G Optimal arrangement projects 4.46 vs actual lineup 4.42
  • Player execution −0.42 R/G Players fell 0.42 short of the lineup's 4.42 projection (scored 4)
  • Game variance −0.46 R/G Total game outcome vs optimal expectation

Marsee 0-for-3 batting 3rd

COUNTERFACTUAL

Optimal lineups projected 3.5 – 4.5 — actual was 3 – 4.

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.