ARCHIVE May 1, 2026
May 1, 2026 · NL Cent

Cincinnati Reds vs Pittsburgh Pirates

May 1, 2026PNC ParkCloudy 47°F · 11 mph, Out To CF
AWAY
Cincinnati Reds
20-12
1
vs
HOME
Pittsburgh Pirates
17-16
9

Starting pitchers

AWAY · CIN
Brady Singer
Brady Singer
IP 3.1
HOME · PIT
Mitch Keller
Mitch Keller
IP 7

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 Nathaniel Lowe DH
  6. 6 Spencer Steer RF
  7. 7 JJ Bleday LF
  8. 8 Tyler Stephenson C
  9. 9 Ke'Bryan Hayes 3B
HOME · PIT
  1. 1 Oneil Cruz CF
  2. 2 Brandon Lowe 2B
  3. 3 Bryan Reynolds LF
  4. 4 Ryan O'Hearn RF
  5. 5 Nick Gonzales 3B
  6. 6 Marcell Ozuna DH
  7. 7 Spencer Horwitz 1B
  8. 8 Konnor Griffin SS
  9. 9 Henry Davis C

Box score

  123456789 R
CIN 000001000 1
PIT 102141000 9

Manager comparison

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

AWAY · CIN
Terry Francona
B- Lineup 0.9 R Bunts 0.8 R IBBs 0.8 R
HOME · PIT
Don Kelly
C- Lineup 2.3 R Bunts 0.3 R IBBs 0.8 R

Recent form

AWAY · CIN
1-9 L8 -46 run diff
LLLLLLLLWL
HOME · PIT
5-5 W2 +1 run diff
WWLWWWLLLL

Season series: 0-3 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 −0.07 R/G Optimal arrangement projects 3.10 vs actual lineup 3.17
  • Player execution −2.17 R/G Players fell 2.17 short of the lineup's 3.17 projection (scored 1)
  • Game variance −2.10 R/G Total game outcome vs optimal expectation

McLain 0-for-4 batting 2nd

HOME · Pittsburgh Pirates
  • Manager lineup cost −0.02 R/G Optimal arrangement projects 4.79 vs actual lineup 4.82
  • Player execution +4.18 R/G Players exceeded the lineup's 4.82 projection by 4.18 (scored 9)
  • Game variance +4.21 R/G Total game outcome vs optimal expectation

Davis HR from the 9-hole

COUNTERFACTUAL

Optimal lineups projected 3.1 – 4.8 — actual was 1 – 9.

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.