ARCHIVE March 28, 2026
March 28, 2026 · NL East

Kansas City Royals vs Atlanta Braves

March 28, 2026Truist ParkClear 64°F · 10 mph, L To R
AWAY
Kansas City Royals
0-2
2
vs
HOME
Atlanta Braves
2-0
6

Starting pitchers

AWAY · KC
Michael Wacha
Michael Wacha
IP 6
HOME · ATL
Reynaldo López
Reynaldo López
IP 6

Lineups

AWAY · KC
  1. 1 Maikel Garcia 3B
  2. 2 Bobby Witt Jr. SS
  3. 3 Vinnie Pasquantino 1B
  4. 4 Salvador Perez C
  5. 5 Carter Jensen DH
  6. 6 Jonathan India 2B
  7. 7 Jac Caglianone RF
  8. 8 Isaac Collins LF
  9. 9 Kyle Isbel CF
HOME · ATL
  1. 1 Ronald Acuña Jr. 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 II CF
  8. 8 Dominic Smith DH
  9. 9 Mauricio Dubón SS

Box score

  123456789 R
KC 000000110 2
ATL 000000006 6

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 +0.04 R/G Optimal arrangement projects 3.47 vs actual lineup 3.44
  • Player execution −1.44 R/G Players fell 1.44 short of the lineup's 3.44 projection (scored 2)
  • Game variance −1.47 R/G Total game outcome vs optimal expectation

Garcia 0-for-3 batting 1st

HOME · Atlanta Braves
  • Manager lineup cost +0.11 R/G Optimal arrangement projects 3.52 vs actual lineup 3.41
  • Player execution +2.59 R/G Players exceeded the lineup's 3.41 projection by 2.59 (scored 6)
  • Game variance +2.48 R/G Total game outcome vs optimal expectation

Smith HR from the 8-hole

COUNTERFACTUAL

Optimal lineups projected 3.5 – 3.5 — actual was 2 – 6.

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.