ARCHIVE April 1, 2026
April 1, 2026 · AL East

Colorado Rockies vs Toronto Blue Jays

April 1, 2026Rogers CentreRoof Closed 68°F · 0 mph, None
AWAY
Colorado Rockies
2-4
2
vs
HOME
Toronto Blue Jays
4-2
1

Starting pitchers

AWAY · COL
Kyle Freeland
Kyle Freeland
IP 5
HOME · TOR
Kevin Gausman
Kevin Gausman
IP 6

Lineups

AWAY · COL
  1. 1 Troy Johnston RF
  2. 2 Hunter Goodman DH
  3. 3 Willi Castro 2B
  4. 4 Ezequiel Tovar SS
  5. 5 TJ Rumfield 1B
  6. 6 Jordan Beck LF
  7. 7 Brett Sullivan C
  8. 8 Brenton Doyle CF
  9. 9 Kyle Karros 3B
HOME · TOR
  1. 1 George Springer DH
  2. 2 Davis Schneider LF
  3. 3 Vladimir Guerrero Jr. 1B
  4. 4 Kazuma Okamoto 3B
  5. 5 Alejandro Kirk C
  6. 6 Ernie Clement 2B
  7. 7 Jesús Sánchez RF
  8. 8 Myles Straw CF
  9. 9 Andrés Giménez SS

Box score

  12345678910 R
COL 0000000101 2
TOR 0010000000 1

Manager comparison

Both managers grade C / B entering this matchup.

AWAY · COL
Warren Schaeffer
C Lineup 1.5 R Bunts 0.9 R IBBs 1.9 R
HOME · TOR
John Schneider
B Lineup 0.3 R Bunts 1.5 R IBBs 1.3 R

Recent form

AWAY · COL
3-6 W2 -7 run diff
WWL?LLLLLW
HOME · TOR
5-5 W1 +8 run diff
WLLLLWWLWW

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 +0.09 R/G Optimal arrangement projects 3.08 vs actual lineup 2.99
  • Player execution −0.99 R/G Players fell 0.99 short of the lineup's 2.99 projection (scored 2)
  • Game variance −1.08 R/G Total game outcome vs optimal expectation

Goodman 0-for-4 batting 2nd

HOME · Toronto Blue Jays
  • Manager lineup cost −0.09 R/G Optimal arrangement projects 3.35 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 −2.35 R/G Total game outcome vs optimal expectation

Springer 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.1 – 3.4 — 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.