ARCHIVE March 27, 2026
March 27, 2026 · NL East

Kansas City Royals vs Atlanta Braves

March 27, 2026Truist ParkPartly Cloudy 77°F · 12 mph, R To L
AWAY
Kansas City Royals
0-1
0
vs
HOME
Atlanta Braves
1-0
6

Starting pitchers

AWAY · KC
Cole Ragans
Cole Ragans
IP 4
HOME · ATL
Chris Sale
Chris Sale
IP 6

Lineups

AWAY · KC
  1. 1 Maikel Garcia 3B
  2. 2 Bobby Witt SS
  3. 3 Lane Thomas CF
  4. 4 Salvador Perez C
  5. 5 Vinnie Pasquantino 1B
  6. 6 Starling Marte RF
  7. 7 Jonathan India 2B
  8. 8 Isaac Collins LF
  9. 9 Carter Jensen DH
HOME · ATL
  1. 1 Ronald Acuña RF
  2. 2 Drake Baldwin DH
  3. 3 Ozzie Albies 2B
  4. 4 Matt Olson 1B
  5. 5 Austin Riley 3B
  6. 6 Eli White LF
  7. 7 Mauricio Dubón SS
  8. 8 Jonah Heim C
  9. 9 Michael Harris CF

Box score

  123456789 R
KC 000000000 0
ATL 101200200 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 −0.07 R/G Optimal arrangement projects 2.72 vs actual lineup 2.80
  • Player execution −2.80 R/G Players fell 2.80 short of the lineup's 2.80 projection (scored 0)
  • Game variance −2.72 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

HOME · Atlanta Braves
  • Manager lineup cost +0.02 R/G Optimal arrangement projects 4.45 vs actual lineup 4.44
  • Player execution +1.56 R/G Players exceeded the lineup's 4.44 projection by 1.56 (scored 6)
  • Game variance +1.55 R/G Total game outcome vs optimal expectation

II HR from the 9-hole

COUNTERFACTUAL

Optimal lineups projected 2.7 – 4.5 — actual was 0 – 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.