ARCHIVE April 14, 2026
April 14, 2026 · NL Cent

San Francisco Giants vs Cincinnati Reds

April 14, 2026Great American Ball ParkPartly Cloudy 81°F · 13 mph, In From LF
AWAY
San Francisco Giants
6-11
1
vs
HOME
Cincinnati Reds
10-7
2

Starting pitchers

AWAY · SF
Robbie Ray
Robbie Ray
IP 5
HOME · CIN
Brady Singer
Brady Singer
IP 6

Lineups

AWAY · SF
  1. 1 Willy Adames SS
  2. 2 Luis Arraez 2B
  3. 3 Matt Chapman 3B
  4. 4 Rafael Devers 1B
  5. 5 Casey Schmitt DH
  6. 6 Jung Hoo Lee RF
  7. 7 Heliot Ramos LF
  8. 8 Patrick Bailey C
  9. 9 Jared Oliva CF
HOME · CIN
  1. 1 Dane Myers 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 Rece Hinds RF
  7. 7 Spencer Steer LF
  8. 8 Tyler Stephenson C
  9. 9 Ke'Bryan Hayes 3B

Box score

  123456789 R
SF 000010000 1
CIN 001100000 2

Manager comparison

Both managers grade B- / B- entering this matchup.

AWAY · SF
Tony Vitello
B- Lineup 0.8 R Bunts 0.7 R IBBs 1.4 R
HOME · CIN
Terry Francona
B- Lineup 0.9 R Bunts 0.8 R IBBs 0.8 R

Recent form

AWAY · SF
1-8 L2 -25 run diff
LLWLLLLL?L
HOME · CIN
1-9 L8 -46 run diff
LLLLLLLLWL

Season series: 1-2 with SF 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 · San Francisco Giants
  • Manager lineup cost +0.03 R/G Optimal arrangement projects 4.81 vs actual lineup 4.78
  • Player execution −3.78 R/G Players fell 3.78 short of the lineup's 4.78 projection (scored 1)
  • Game variance −3.81 R/G Total game outcome vs optimal expectation

Chapman 0-for-4 batting 3rd

HOME · Cincinnati Reds
  • Manager lineup cost −0.06 R/G Optimal arrangement projects 3.11 vs actual lineup 3.17
  • Player execution −1.17 R/G Players fell 1.17 short of the lineup's 3.17 projection (scored 2)
  • Game variance −1.11 R/G Total game outcome vs optimal expectation

Myers 0-for-3 batting 1st

COUNTERFACTUAL

Optimal lineups projected 4.8 – 3.1 — actual was 1 – 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.