ARCHIVE March 26, 2026
March 26, 2026 · AL West

Cleveland Guardians vs Seattle Mariners

March 26, 2026T-Mobile ParkClear 52°F · 5 mph, Out To CF
AWAY
Cleveland Guardians
1-0
6
vs
HOME
Seattle Mariners
0-1
4

Starting pitchers

AWAY · CLE
Tanner Bibee
Tanner Bibee
IP 5
HOME · SEA
Logan Gilbert
Logan Gilbert
IP 5.1

Lineups

AWAY · CLE
  1. 1 Steven Kwan LF
  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 Daniel Schneemann CF
  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 100020201 6
SEA 110010100 4

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 −0.01 R/G Optimal arrangement projects 3.98 vs actual lineup 3.99
  • Player execution +2.01 R/G Players exceeded the lineup's 3.99 projection by 2.01 (scored 6)
  • Game variance +2.02 R/G Total game outcome vs optimal expectation

Kwan 0-for-5 batting 1st

HOME · Seattle Mariners
  • Manager lineup cost +0.00 R/G Optimal arrangement projects 4.12 vs actual lineup 4.12
  • Player execution −0.12 R/G Players fell 0.12 short of the lineup's 4.12 projection (scored 4)
  • Game variance −0.12 R/G Total game outcome vs optimal expectation

Canzone HR from the 7-hole

COUNTERFACTUAL

Optimal lineups projected 4.0 – 4.1 — actual was 6 – 4.

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.