Detroit Tigers vs Kansas City Royals
Starting pitchers
Lineups
- 1 Matt Vierling CF
- 2 Kevin McGonigle 3B
- 3 Jahmai Jones DH
- 4 Dillon Dingler C
- 5 Riley Greene LF
- 6 Wenceel Pérez RF
- 7 Spencer Torkelson 1B
- 8 Hao-Yu Lee 2B
- 9 Zack Short SS
- 1 Maikel Garcia 3B
- 2 Bobby Witt Jr. SS
- 3 Vinnie Pasquantino 1B
- 4 Salvador Perez DH
- 5 Carter Jensen C
- 6 Jac Caglianone RF
- 7 Isaac Collins LF
- 8 Michael Massey 2B
- 9 Kyle Isbel CF
Box score
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | |
|---|---|---|---|---|---|---|---|---|---|---|
| DET | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 |
| KC | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 4 |
Manager comparison
Both managers grade C- / C entering this matchup.
Recent form
Season series: 3-1 with DET listed first across 4 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.
- Manager lineup cost −0.01 R/G Optimal arrangement projects 3.53 vs actual lineup 3.54
- Player execution −0.54 R/G Players fell 0.54 short of the lineup's 3.54 projection (scored 3)
- Game variance −0.53 R/G Total game outcome vs optimal expectation
McGonigle 0-for-3 batting 2nd
- Manager lineup cost +0.08 R/G Optimal arrangement projects 3.48 vs actual lineup 3.40
- Player execution +0.60 R/G Players exceeded the lineup's 3.40 projection by 0.60 (scored 4)
- Game variance +0.52 R/G Total game outcome vs optimal expectation
Pasquantino 0-for-3 batting 3rd
Optimal lineups projected 3.5 – 3.5 — actual was 3 – 4.
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Matt Quatraro (KC) has run 27 distinct starting lineups across 30 games this season — that's 90% turnover game-to-game. Most managers stay below 14 for the same span.
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Riley Greene reaches base in 19 consecutive gamesRiley Greene (DET) has reached base safely in 19 straight games — past the 15-game watermark.
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A.J. Hinch (DET) has run 30 distinct starting lineups across 30 games this season — that's 100% turnover game-to-game. Most managers stay below 14 for the same span.
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.