ARCHIVE March 27, 2026
March 27, 2026 · AL West

Cleveland Guardians vs Seattle Mariners

March 27, 2026T-Mobile ParkCloudy 52°F · 7 mph, In From LF
AWAY
Cleveland Guardians
1-1
1
vs
HOME
Seattle Mariners
1-1
5

Starting pitchers

AWAY · CLE
Gavin Williams
Gavin Williams
IP 5
HOME · SEA
George Kirby
George Kirby
IP 6

Lineups

AWAY · CLE
  1. 1 Steven Kwan CF
  2. 2 Chase DeLauter RF
  3. 3 José Ramírez 3B
  4. 4 Kyle Manzardo DH
  5. 5 Bo Naylor C
  6. 6 Rhys Hoskins 1B
  7. 7 CJ Kayfus LF
  8. 8 Gabriel Arias SS
  9. 9 Brayan Rocchio 2B
HOME · SEA
  1. 1 Brendan Donovan 3B
  2. 2 Cal Raleigh C
  3. 3 Julio Rodríguez CF
  4. 4 Josh Naylor 1B
  5. 5 Randy Arozarena LF
  6. 6 Luke Raley RF
  7. 7 Dominic Canzone DH
  8. 8 Cole Young 2B
  9. 9 Leo Rivas SS

Box score

  123456789 R
CLE 100000000 1
SEA 000302000 5

Manager comparison

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

AWAY · CLE
Stephen Vogt
C+ Lineup 1.5 R Bunts 0.7 R IBBs 0.4 R
HOME · SEA
Dan Wilson
B- Lineup 1.3 R Bunts 0.2 R IBBs 0.8 R

Recent form

AWAY · CLE
6-4 W3 +7 run diff
WWWLLLWWWL
HOME · SEA
5-5 W2 +2 run diff
WWLWLLLWWL

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 +0.04 R/G Optimal arrangement projects 3.15 vs actual lineup 3.11
  • Player execution −2.11 R/G Players fell 2.11 short of the lineup's 3.11 projection (scored 1)
  • Game variance −2.15 R/G Total game outcome vs optimal expectation

Ramírez 0-for-4 batting 3rd

HOME · Seattle Mariners
  • Manager lineup cost +0.03 R/G Optimal arrangement projects 3.29 vs actual lineup 3.27
  • Player execution +1.73 R/G Players exceeded the lineup's 3.27 projection by 1.73 (scored 5)
  • Game variance +1.71 R/G Total game outcome vs optimal expectation

Young HR from the 8-hole

COUNTERFACTUAL

Optimal lineups projected 3.1 – 3.3 — actual was 1 – 5.

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.