ARCHIVE March 29, 2026
March 29, 2026 · AL West

Cleveland Guardians vs Seattle Mariners

March 29, 2026T-Mobile ParkRoof Closed 43°F · 0 mph, None
AWAY
Cleveland Guardians
2-2
0
vs
HOME
Seattle Mariners
2-2
8

Starting pitchers

AWAY · CLE
Slade Cecconi
Slade Cecconi
IP 4.1
HOME · SEA
Emerson Hancock
Emerson Hancock
IP 6

Lineups

AWAY · CLE
  1. 1 Steven Kwan CF
  2. 2 Chase DeLauter RF
  3. 3 José Ramírez DH
  4. 4 Kyle Manzardo 1B
  5. 5 Bo Naylor C
  6. 6 Daniel Schneemann 3B
  7. 7 Gabriel Arias SS
  8. 8 CJ Kayfus LF
  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 000000000 0
SEA 000421010 8

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
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HOME · SEA
5-5 W2 +2 run diff
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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 +0.10 R/G Optimal arrangement projects 3.17 vs actual lineup 3.08
  • Player execution −3.08 R/G Players fell 3.08 short of the lineup's 3.08 projection (scored 0)
  • Game variance −3.17 R/G Total game outcome vs optimal expectation

Manzardo 0-for-3 batting 4th

HOME · Seattle Mariners
  • Manager lineup cost +0.05 R/G Optimal arrangement projects 4.95 vs actual lineup 4.90
  • Player execution +3.10 R/G Players exceeded the lineup's 4.90 projection by 3.10 (scored 8)
  • Game variance +3.05 R/G Total game outcome vs optimal expectation

Rodríguez 0-for-4 batting 3rd

COUNTERFACTUAL

Optimal lineups projected 3.2 – 5.0 — actual was 0 – 8.

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.