ARCHIVE April 27, 2026
April 27, 2026 · AL Cent

Seattle Mariners vs Minnesota Twins

April 27, 2026Target FieldOvercast 51°F · 13 mph, Out To RF
AWAY
Seattle Mariners
14-16
4
vs
HOME
Minnesota Twins
13-16
11

Starting pitchers

AWAY · SEA
Luis Castillo
Luis Castillo
IP 5
HOME · MIN
Connor Prielipp
Connor Prielipp
IP 5

Lineups

AWAY · SEA
  1. 1 Rob Refsnyder RF
  2. 2 Cal Raleigh DH
  3. 3 Julio Rodríguez CF
  4. 4 Josh Naylor 1B
  5. 5 Randy Arozarena LF
  6. 6 J.P. Crawford SS
  7. 7 Mitch Garver C
  8. 8 Cole Young 2B
  9. 9 Leo Rivas 3B
HOME · MIN
  1. 1 Byron Buxton CF
  2. 2 Brooks Lee SS
  3. 3 Trevor Larnach LF
  4. 4 Josh Bell DH
  5. 5 Ryan Jeffers C
  6. 6 Kody Clemens 1B
  7. 7 Luke Keaschall 2B
  8. 8 Matt Wallner RF
  9. 9 Tristan Gray 3B

Box score

  123456789 R
SEA 000020020 4
MIN 014201030 11

Manager comparison

Both managers grade B- / B entering this matchup.

AWAY · SEA
Dan Wilson
B- Lineup 1.3 R Bunts 0.2 R IBBs 0.8 R
HOME · MIN
Derek Shelton
B Lineup 0.8 R Bunts 0.5 R IBBs 0.4 R

Recent form

AWAY · SEA
5-5 W2 +2 run diff
WWLWLLLWWL
HOME · MIN
3-7 L3 -21 run diff
LLLWWLLWLL

Season series: 2-1 with SEA 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 · Seattle Mariners
  • Manager lineup cost +0.08 R/G Optimal arrangement projects 3.93 vs actual lineup 3.86
  • Player execution +0.14 R/G Players exceeded the lineup's 3.86 projection by 0.14 (scored 4)
  • Game variance +0.07 R/G Total game outcome vs optimal expectation

Rodríguez 0-for-4 batting 3rd

HOME · Minnesota Twins
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 4.77 vs actual lineup 4.76
  • Player execution +6.24 R/G Players exceeded the lineup's 4.76 projection by 6.24 (scored 11)
  • Game variance +6.23 R/G Total game outcome vs optimal expectation

Lee 0-for-4 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 3.9 – 4.8 — actual was 4 – 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.