ARCHIVE April 4, 2026
April 4, 2026 · NL West

Philadelphia Phillies vs Colorado Rockies

April 4, 2026Coors FieldClear 60°F · 7 mph, R To L
vs
HOME
Colorado Rockies
2-6
1

Starting pitchers

AWAY · PHI
Jesús Luzardo
Jesús Luzardo
IP 6.2
HOME · COL
Chase Dollander
Chase Dollander
IP 4.1

Lineups

AWAY · PHI
  1. 1 Trea Turner SS
  2. 2 Kyle Schwarber DH
  3. 3 Bryce Harper 1B
  4. 4 Alec Bohm 3B
  5. 5 Bryson Stott 2B
  6. 6 Adolis García RF
  7. 7 Brandon Marsh LF
  8. 8 J.T. Realmuto C
  9. 9 Justin Crawford CF
HOME · COL
  1. 1 Tyler Freeman RF
  2. 2 Brenton Doyle CF
  3. 3 Hunter Goodman DH
  4. 4 Ezequiel Tovar SS
  5. 5 Jordan Beck LF
  6. 6 Willi Castro 2B
  7. 7 Troy Johnston 1B
  8. 8 Kyle Karros 3B
  9. 9 Brett Sullivan C

Box score

  123456789 R
PHI 100010000 2
COL 001000000 1

Manager comparison

Both managers grade C- / C entering this matchup.

AWAY · PHI
Don Mattingly
C- Lineup 2.2 R Bunts 0.4 R IBBs 0.7 R Interim
HOME · COL
Warren Schaeffer
C Lineup 1.5 R Bunts 0.9 R IBBs 1.9 R

Recent form

AWAY · PHI
7-3 L2 +3 run diff
LLWWWWLWWW
HOME · COL
3-6 W2 -7 run diff
WWL?LLLLLW

Season series: 0-1 with PHI 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 · Philadelphia Phillies
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 2.85 vs actual lineup 2.84
  • Player execution −0.84 R/G Players fell 0.84 short of the lineup's 2.84 projection (scored 2)
  • Game variance −0.85 R/G Total game outcome vs optimal expectation

Harper 0-for-4 batting 3rd

HOME · Colorado Rockies
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 4.72 vs actual lineup 4.71
  • Player execution −3.71 R/G Players fell 3.71 short of the lineup's 4.71 projection (scored 1)
  • Game variance −3.72 R/G Total game outcome vs optimal expectation

Goodman 0-for-4 batting 3rd

COUNTERFACTUAL

Optimal lineups projected 2.9 – 4.7 — actual was 2 – 1.

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.