ARCHIVE April 19, 2026
April 19, 2026 · AL Cent

Cincinnati Reds vs Minnesota Twins

April 19, 2026Target FieldPartly Cloudy 42°F · 12 mph, Out To RF
AWAY
Cincinnati Reds
14-8
7
vs
HOME
Minnesota Twins
11-11
4

Starting pitchers

AWAY · CIN
Brady Singer
Brady Singer
IP 6
HOME · MIN
Bailey Ober
Bailey Ober
IP 6.1

Lineups

AWAY · CIN
  1. 1 TJ Friedl CF
  2. 2 Matt McLain 2B
  3. 3 Elly De La Cruz SS
  4. 4 Sal Stewart 1B
  5. 5 Eugenio Suárez DH
  6. 6 Spencer Steer LF
  7. 7 Tyler Stephenson C
  8. 8 Rece Hinds RF
  9. 9 Ke'Bryan Hayes 3B
HOME · MIN
  1. 1 Byron Buxton CF
  2. 2 Trevor Larnach LF
  3. 3 Josh Bell DH
  4. 4 Victor Caratini C
  5. 5 Kody Clemens 1B
  6. 6 Luke Keaschall 2B
  7. 7 Tristan Gray 3B
  8. 8 Brooks Lee SS
  9. 9 James Outman RF

Box score

  12345678910 R
CIN 0001000033 7
MIN 1020000010 4

Manager comparison

Both managers grade B- / B entering this matchup.

AWAY · CIN
Terry Francona
B- Lineup 0.9 R Bunts 0.8 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 · CIN
1-9 L8 -46 run diff
LLLLLLLLWL
HOME · MIN
3-7 L3 -21 run diff
LLLWWLLWLL

Season series: 3-0 with CIN 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 · Cincinnati Reds
  • Manager lineup cost −0.08 R/G Optimal arrangement projects 3.78 vs actual lineup 3.85
  • Player execution +3.15 R/G Players exceeded the lineup's 3.85 projection by 3.15 (scored 7)
  • Game variance +3.22 R/G Total game outcome vs optimal expectation

Stewart 0-for-5 batting 4th

HOME · Minnesota Twins
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 4.39 vs actual lineup 4.35
  • Player execution −0.35 R/G Players fell 0.35 short of the lineup's 4.35 projection (scored 4)
  • Game variance −0.39 R/G Total game outcome vs optimal expectation

Outman 2-for-4 from the 9-hole

COUNTERFACTUAL

Optimal lineups projected 3.8 – 4.4 — actual was 7 – 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.