ARCHIVE March 26, 2026
March 26, 2026 · NL Cent

Boston Red Sox vs Cincinnati Reds

March 26, 2026Great American Ball ParkSunny 81°F · 15 mph, R To L
AWAY
Boston Red Sox
1-0
3
vs
HOME
Cincinnati Reds
0-1
0

Starting pitchers

AWAY · BOS
Garrett Crochet
Garrett Crochet
IP 6
HOME · CIN
Andrew Abbott
Andrew Abbott
IP 6

Lineups

AWAY · BOS
  1. 1 Roman Anthony LF
  2. 2 Trevor Story SS
  3. 3 Jarren Duran DH
  4. 4 Willson Contreras 1B
  5. 5 Caleb Durbin 3B
  6. 6 Wilyer Abreu RF
  7. 7 Isiah Kiner-Falefa 2B
  8. 8 Carlos Narváez C
  9. 9 Ceddanne Rafaela CF
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 Tyler Stephenson C
  8. 8 Noelvi Marte RF
  9. 9 Ke'Bryan Hayes 3B

Box score

  123456789 R
BOS 000000102 3
CIN 000000000 0

Manager comparison

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

AWAY · BOS
Chad Tracy
C- Lineup 2.8 R Bunts 0.1 R IBBs 0.2 R Interim
HOME · CIN
Terry Francona
B- Lineup 0.9 R Bunts 0.8 R IBBs 0.8 R

Recent form

AWAY · BOS
5-5 W1 -3 run diff
WLWWWLLWLL
HOME · CIN
1-9 L8 -46 run diff
LLLLLLLLWL

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 · Boston Red Sox
  • Manager lineup cost +0.05 R/G Optimal arrangement projects 4.87 vs actual lineup 4.82
  • Player execution −1.82 R/G Players fell 1.82 short of the lineup's 4.82 projection (scored 3)
  • Game variance −1.87 R/G Total game outcome vs optimal expectation

Contreras 0-for-4 batting 4th

HOME · Cincinnati Reds
  • Manager lineup cost −0.03 R/G Optimal arrangement projects 4.79 vs actual lineup 4.82
  • Player execution −4.82 R/G Players fell 4.82 short of the lineup's 4.82 projection (scored 0)
  • Game variance −4.79 R/G Total game outcome vs optimal expectation

Friedl 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 4.9 – 4.8 — actual was 3 – 0.

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.