ARCHIVE April 1, 2026
April 1, 2026 · NL Cent

Pittsburgh Pirates vs Cincinnati Reds

April 1, 2026Great American Ball ParkPartly Cloudy 73°F · 8 mph, R To L
AWAY
Pittsburgh Pirates
3-3
8
vs
HOME
Cincinnati Reds
3-3
3

Starting pitchers

AWAY · PIT
Paul Skenes
Paul Skenes
IP 5
HOME · CIN
Andrew Abbott
Andrew Abbott
IP 5.2

Lineups

AWAY · PIT
  1. 1 Jake Mangum RF
  2. 2 Nick Gonzales 2B
  3. 3 Bryan Reynolds LF
  4. 4 Marcell Ozuna DH
  5. 5 Oneil Cruz CF
  6. 6 Nick Yorke 3B
  7. 7 Jared Triolo SS
  8. 8 Spencer Horwitz 1B
  9. 9 Henry Davis C
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 Nathaniel Lowe 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
PIT 300001004 8
CIN 000102000 3

Manager comparison

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

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

Recent form

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

Season series: 3-0 with PIT 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 · Pittsburgh Pirates
  • Manager lineup cost +0.09 R/G Optimal arrangement projects 4.85 vs actual lineup 4.76
  • Player execution +3.24 R/G Players exceeded the lineup's 4.76 projection by 3.24 (scored 8)
  • Game variance +3.15 R/G Total game outcome vs optimal expectation

Mangum 0-for-5 batting 1st

HOME · Cincinnati Reds
  • Manager lineup cost +0.07 R/G Optimal arrangement projects 2.81 vs actual lineup 2.74
  • Player execution +0.26 R/G Players exceeded the lineup's 2.74 projection by 0.26 (scored 3)
  • Game variance +0.19 R/G Total game outcome vs optimal expectation

McLain 0-for-4 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 4.8 – 2.8 — actual was 8 – 3.

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.