ARCHIVE April 10, 2026
April 10, 2026 · NL East

Cleveland Guardians vs Atlanta Braves

April 10, 2026Truist ParkClear 76°F · 3 mph, L To R
AWAY
Cleveland Guardians
8-6
5
vs
HOME
Atlanta Braves
9-5
11

Starting pitchers

AWAY · CLE
Slade Cecconi
Slade Cecconi
IP 5.1
HOME · ATL
Bryce Elder
Bryce Elder
IP 4.2

Lineups

AWAY · CLE
  1. 1 Steven Kwan CF
  2. 2 Chase DeLauter RF
  3. 3 José Ramírez 3B
  4. 4 Kyle Manzardo 1B
  5. 5 Rhys Hoskins DH
  6. 6 Juan Brito 2B
  7. 7 Bo Naylor C
  8. 8 Angel Martínez LF
  9. 9 Brayan Rocchio SS
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 Dominic Smith DH
  8. 8 Michael Harris CF
  9. 9 Mauricio Dubón SS

Box score

  123456789 R
CLE 000110030 5
ATL 001006220 11

Manager comparison

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

AWAY · CLE
Stephen Vogt
C+ Lineup 1.5 R Bunts 0.7 R IBBs 0.4 R
HOME · ATL
Walt Weiss
C+ Lineup 1.7 R Bunts 0.0 R IBBs 0.2 R

Recent form

AWAY · CLE
6-4 W3 +7 run diff
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HOME · ATL
7-3 L1 +18 run diff
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Season series: 1-2 with CLE 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 · Cleveland Guardians
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 2.43 vs actual lineup 2.42
  • Player execution +2.58 R/G Players exceeded the lineup's 2.42 projection by 2.58 (scored 5)
  • Game variance +2.57 R/G Total game outcome vs optimal expectation

Ramírez 0-for-4 batting 3rd

HOME · Atlanta Braves
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 4.88 vs actual lineup 4.87
  • Player execution +6.13 R/G Players exceeded the lineup's 4.87 projection by 6.13 (scored 11)
  • Game variance +6.12 R/G Total game outcome vs optimal expectation

II HR from the 8-hole

COUNTERFACTUAL

Optimal lineups projected 2.4 – 4.9 — actual was 5 – 11.

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.