ARCHIVE March 28, 2026
March 28, 2026 · NL Cent

Boston Red Sox vs Cincinnati Reds

March 28, 2026Great American Ball ParkSunny 49°F · 2 mph, L To R
AWAY
Boston Red Sox
1-1
5
vs
HOME
Cincinnati Reds
1-1
6

Starting pitchers

AWAY · BOS
Sonny Gray
Sonny Gray
IP 4
HOME · CIN
Brady Singer
Brady Singer
IP 4

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 Wilyer Abreu RF
  6. 6 Caleb Durbin 3B
  7. 7 Marcelo Mayer 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 Will Benson RF
  8. 8 Jose Trevino C
  9. 9 Ke'Bryan Hayes 3B

Box score

  1234567891011 R
BOS 00120010100 5
CIN 21101000001 6

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 +0.01 R/G Optimal arrangement projects 4.42 vs actual lineup 4.40
  • Player execution +0.60 R/G Players exceeded the lineup's 4.40 projection by 0.60 (scored 5)
  • Game variance +0.58 R/G Total game outcome vs optimal expectation

Duran 0-for-3 batting 3rd

HOME · Cincinnati Reds
  • Manager lineup cost +0.07 R/G Optimal arrangement projects 4.01 vs actual lineup 3.94
  • Player execution +2.06 R/G Players exceeded the lineup's 3.94 projection by 2.06 (scored 6)
  • Game variance +1.99 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

COUNTERFACTUAL

Optimal lineups projected 4.4 – 4.0 — actual was 5 – 6.

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.