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

Kansas City Royals vs Atlanta Braves

March 29, 2026Truist ParkCloudy 57°F · 10 mph, L To R
AWAY
Kansas City Royals
1-2
4
vs
HOME
Atlanta Braves
2-1
1

Starting pitchers

AWAY · KC
Seth Lugo
Seth Lugo
IP 6.1
HOME · ATL
Grant Holmes
Grant Holmes
IP 5

Lineups

AWAY · KC
  1. 1 Maikel Garcia 3B
  2. 2 Bobby Witt SS
  3. 3 Vinnie Pasquantino 1B
  4. 4 Salvador Perez DH
  5. 5 Carter Jensen C
  6. 6 Lane Thomas LF
  7. 7 Jac Caglianone RF
  8. 8 Nick Loftin 2B
  9. 9 Kyle Isbel CF
HOME · ATL
  1. 1 Ronald Acuña RF
  2. 2 Drake Baldwin C
  3. 3 Matt Olson 1B
  4. 4 Austin Riley 3B
  5. 5 Mike Yastrzemski LF
  6. 6 Ozzie Albies 2B
  7. 7 Michael Harris CF
  8. 8 Dominic Smith DH
  9. 9 Jorge Mateo SS

Box score

  123456789 R
KC 001110010 4
ATL 000000010 1

Manager comparison

Both managers grade C / C+ entering this matchup.

AWAY · KC
Matt Quatraro
C Lineup 1.9 R Bunts 1.1 R IBBs 0.8 R
HOME · ATL
Walt Weiss
C+ Lineup 1.7 R Bunts 0.0 R IBBs 0.2 R

Recent form

AWAY · KC
6-4 W1 +1 run diff
WLLWWWWWLL
HOME · ATL
7-3 L1 +18 run diff
LWLWWWLWWW

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 · Kansas City Royals
  • Manager lineup cost +0.10 R/G Optimal arrangement projects 4.05 vs actual lineup 3.95
  • Player execution +0.05 R/G Players exceeded the lineup's 3.95 projection by 0.05 (scored 4)
  • Game variance −0.05 R/G Total game outcome vs optimal expectation

Perez 0-for-4 batting 4th

HOME · Atlanta Braves
  • Manager lineup cost +0.05 R/G Optimal arrangement projects 3.22 vs actual lineup 3.17
  • Player execution −2.17 R/G Players fell 2.17 short of the lineup's 3.17 projection (scored 1)
  • Game variance −2.22 R/G Total game outcome vs optimal expectation

Jr. 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 4.0 – 3.2 — actual was 4 – 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.