ARCHIVE April 29, 2026
April 29, 2026 · NL East

Detroit Tigers vs Atlanta Braves

April 29, 2026Truist ParkCloudy 77°F · 9 mph, Out To LF
AWAY
Detroit Tigers
15-16
3
vs
HOME
Atlanta Braves
22-9
4

Starting pitchers

AWAY · DET
Tarik Skubal
Tarik Skubal
IP 7
HOME · ATL
JR Ritchie
JR Ritchie
IP 5.1

Lineups

AWAY · DET
  1. 1 Kevin McGonigle SS
  2. 2 Gleyber Torres 2B
  3. 3 Colt Keith 3B
  4. 4 Riley Greene LF
  5. 5 Dillon Dingler C
  6. 6 Kerry Carpenter RF
  7. 7 Spencer Torkelson 1B
  8. 8 Wenceel Pérez CF
  9. 9 Jace Jung DH
HOME · ATL
  1. 1 Ronald Acuña Jr. RF
  2. 2 Drake Baldwin DH
  3. 3 Ozzie Albies 2B
  4. 4 Matt Olson 1B
  5. 5 Austin Riley 3B
  6. 6 Mauricio Dubón SS
  7. 7 Michael Harris II CF
  8. 8 Eli White LF
  9. 9 Jonah Heim C

Box score

  123456789 R
DET 021000000 3
ATL 200000002 4

Manager comparison

Both managers grade C- / C+ entering this matchup.

AWAY · DET
A.J. Hinch
C- Lineup 2.7 R Bunts 0.2 R IBBs 0.1 R
HOME · ATL
Walt Weiss
C+ Lineup 1.7 R Bunts 0.0 R IBBs 0.2 R

Recent form

AWAY · DET
3-7 L4 -5 run diff
LLLLWWLWLL
HOME · ATL
7-3 L1 +18 run diff
LWLWWWLWWW

Season series: 1-2 with DET listed first across 3 prior meetings.

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 · Detroit Tigers
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 3.23 vs actual lineup 3.19
  • Player execution −0.19 R/G Players fell 0.19 short of the lineup's 3.19 projection (scored 3)
  • Game variance −0.23 R/G Total game outcome vs optimal expectation

Torres 0-for-3 batting 2nd

HOME · Atlanta Braves
  • Manager lineup cost −0.03 R/G Optimal arrangement projects 3.18 vs actual lineup 3.20
  • Player execution +0.80 R/G Players exceeded the lineup's 3.20 projection by 0.80 (scored 4)
  • Game variance +0.82 R/G Total game outcome vs optimal expectation

Jr. 0-for-3 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.2 – 3.2 — 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.