ARCHIVE May 3, 2026
May 3, 2026 · AL West

Kansas City Royals vs Seattle Mariners

May 3, 2026T-Mobile ParkSunny 75°F · 10 mph, L To R
AWAY
Kansas City Royals
15-19
4
vs
HOME
Seattle Mariners
16-19
1

Starting pitchers

AWAY · KC
Kris Bubic
Kris Bubic
IP 7
HOME · SEA
Luis Castillo
Luis Castillo
IP 6

Lineups

AWAY · KC
  1. 1 Maikel Garcia 3B
  2. 2 Bobby Witt Jr. SS
  3. 3 Vinnie Pasquantino 1B
  4. 4 Salvador Perez DH
  5. 5 Carter Jensen C
  6. 6 Jac Caglianone RF
  7. 7 Isaac Collins LF
  8. 8 Michael Massey 2B
  9. 9 Kyle Isbel CF
HOME · SEA
  1. 1 Rob Refsnyder DH
  2. 2 Julio Rodríguez CF
  3. 3 Josh Naylor 1B
  4. 4 Randy Arozarena LF
  5. 5 J.P. Crawford SS
  6. 6 Cole Young 2B
  7. 7 Connor Joe RF
  8. 8 Jhonny Pereda C
  9. 9 Leo Rivas 3B

Box score

  123456789 R
KC 000301000 4
SEA 001000000 1

Manager comparison

Both managers grade C / B- entering this matchup.

AWAY · KC
Matt Quatraro
C Lineup 1.9 R Bunts 1.1 R IBBs 0.8 R
HOME · SEA
Dan Wilson
B- Lineup 1.3 R Bunts 0.2 R IBBs 0.8 R

Recent form

AWAY · KC
6-4 W1 +1 run diff
WLLWWWWWLL
HOME · SEA
5-5 W2 +2 run diff
WWLWLLLWWL

Season series: 3-0 with KC 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 · Kansas City Royals
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 4.75 vs actual lineup 4.74
  • Player execution −0.74 R/G Players fell 0.74 short of the lineup's 4.74 projection (scored 4)
  • Game variance −0.75 R/G Total game outcome vs optimal expectation

Collins 2-for-2 from the 7-hole

HOME · Seattle Mariners
  • Manager lineup cost +0.10 R/G Optimal arrangement projects 3.57 vs actual lineup 3.47
  • Player execution −2.47 R/G Players fell 2.47 short of the lineup's 3.47 projection (scored 1)
  • Game variance −2.57 R/G Total game outcome vs optimal expectation

Arozarena 0-for-4 batting 4th

COUNTERFACTUAL

Optimal lineups projected 4.8 – 3.6 — actual was 4 – 1.

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.