ARCHIVE March 29, 2026
March 29, 2026 · AL East

Oakland Athletics vs Toronto Blue Jays

March 29, 2026Rogers CentreRoof Closed 68°F · 0 mph, None
AWAY
Oakland Athletics
0-3
2
vs
HOME
Toronto Blue Jays
3-0
5

Starting pitchers

AWAY · ATH
Luis Morales
Luis Morales
IP 4.1
HOME · TOR
Eric Lauer
Eric Lauer
IP 5.1

Lineups

AWAY · ATH
  1. 1 Shea Langeliers DH
  2. 2 Nick Kurtz 1B
  3. 3 Brent Rooker RF
  4. 4 Tyler Soderstrom LF
  5. 5 Jacob Wilson SS
  6. 6 Max Muncy 3B
  7. 7 Darell Hernaiz 2B
  8. 8 Austin Wynns C
  9. 9 Denzel Clarke CF
HOME · TOR
  1. 1 George Springer DH
  2. 2 Jesús Sánchez LF
  3. 3 Vladimir Guerrero Jr. 1B
  4. 4 Addison Barger RF
  5. 5 Kazuma Okamoto 3B
  6. 6 Daulton Varsho CF
  7. 7 Ernie Clement 2B
  8. 8 Andrés Giménez SS
  9. 9 Tyler Heineman C

Box score

  123456789 R
ATH 000020000 2
TOR 102110000 5

Manager comparison

Both managers grade C- / B entering this matchup.

AWAY · ATH
Mark Kotsay
C- Lineup 2.6 R Bunts 1.1 R IBBs 1.1 R
HOME · TOR
John Schneider
B Lineup 0.3 R Bunts 1.5 R IBBs 1.3 R

Recent form

AWAY · ATH
5-5 W2 -1 run diff
WWLLWLLWWL
HOME · TOR
5-5 W1 +8 run diff
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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 · Oakland Athletics
  • Manager lineup cost +0.03 R/G Optimal arrangement projects 5.01 vs actual lineup 4.98
  • Player execution −2.98 R/G Players fell 2.98 short of the lineup's 4.98 projection (scored 2)
  • Game variance −3.01 R/G Total game outcome vs optimal expectation

Rooker 0-for-4 batting 3rd

HOME · Toronto Blue Jays
  • Manager lineup cost −0.01 R/G Optimal arrangement projects 4.61 vs actual lineup 4.62
  • Player execution +0.38 R/G Players exceeded the lineup's 4.62 projection by 0.38 (scored 5)
  • Game variance +0.39 R/G Total game outcome vs optimal expectation

Barger 0-for-3 batting 4th

COUNTERFACTUAL

Optimal lineups projected 5.0 – 4.6 — actual was 2 – 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.