ARCHIVE April 10, 2026
April 10, 2026 · NL Cent

Los Angeles Angels vs Cincinnati Reds

April 10, 2026Great American Ball ParkOvercast 70°F · 12 mph, R To L
AWAY
Los Angeles Angels
7-7
10
vs
HOME
Cincinnati Reds
8-6
2

Starting pitchers

AWAY · LAA
Jack Kochanowicz
Jack Kochanowicz
IP 7
HOME · CIN
Chase Burns
Chase Burns
IP 5.1

Lineups

AWAY · LAA
  1. 1 Zach Neto SS
  2. 2 Mike Trout CF
  3. 3 Nolan Schanuel 1B
  4. 4 Jorge Soler DH
  5. 5 Yoán Moncada 3B
  6. 6 Jo Adell RF
  7. 7 Josh Lowe LF
  8. 8 Logan O'Hoppe C
  9. 9 Adam Frazier 2B
HOME · 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 Will Benson RF
  8. 8 Tyler Stephenson C
  9. 9 Ke'Bryan Hayes 3B

Box score

  123456789 R
LAA 011201050 10
CIN 000010010 2

Manager comparison

Both managers grade C / B- entering this matchup.

AWAY · LAA
Kurt Suzuki
C Lineup 1.4 R Bunts 2.0 R IBBs 2.1 R
HOME · CIN
Terry Francona
B- Lineup 0.9 R Bunts 0.8 R IBBs 0.8 R

Recent form

AWAY · LAA
3-7 L1 -10 run diff
LWWLLWLLLL
HOME · CIN
1-9 L8 -46 run diff
LLLLLLLLWL

Season series: 2-1 with LAA 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 · Los Angeles Angels
  • Manager lineup cost +0.06 R/G Optimal arrangement projects 3.11 vs actual lineup 3.04
  • Player execution +6.96 R/G Players exceeded the lineup's 3.04 projection by 6.96 (scored 10)
  • Game variance +6.89 R/G Total game outcome vs optimal expectation

Lowe HR from the 7-hole

HOME · Cincinnati Reds
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 3.46 vs actual lineup 3.45
  • Player execution −1.45 R/G Players fell 1.45 short of the lineup's 3.45 projection (scored 2)
  • Game variance −1.46 R/G Total game outcome vs optimal expectation

Friedl 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.1 – 3.5 — actual was 10 – 2.

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.