ARCHIVE April 15, 2026
April 15, 2026 · NL Cent

Washington Nationals vs Pittsburgh Pirates

April 15, 2026PNC ParkPartly Cloudy 82°F · 8 mph, Out To LF
AWAY
Washington Nationals
8-10
0
vs
HOME
Pittsburgh Pirates
11-7
2

Starting pitchers

AWAY · WSH
Jake Irvin
Jake Irvin
IP 5
HOME · PIT
Carmen Mlodzinski
Carmen Mlodzinski
IP 6

Lineups

AWAY · WSH
  1. 1 James Wood RF
  2. 2 Curtis Mead 1B
  3. 3 Daylen Lile LF
  4. 4 Brady House 3B
  5. 5 CJ Abrams SS
  6. 6 Joey Wiemer CF
  7. 7 Jorbit Vivas 2B
  8. 8 Keibert Ruiz C
  9. 9 Luis García Jr. DH
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 Marcell Ozuna DH
  6. 6 Nick Gonzales SS
  7. 7 Spencer Horwitz 1B
  8. 8 Nick Yorke 3B
  9. 9 Henry Davis C

Box score

  123456789 R
WSH 000000000 0
PIT 200000000 2

Manager comparison

Both managers grade C / C- entering this matchup.

AWAY · WSH
Blake Butera
C Lineup 1.6 R Bunts 1.5 R IBBs 1.4 R
HOME · PIT
Don Kelly
C- Lineup 2.3 R Bunts 0.3 R IBBs 0.8 R

Recent form

AWAY · WSH
6-4 W3 +6 run diff
WWWLWLLWWL
HOME · PIT
5-5 W2 +1 run diff
WWLWWWLLLL

Season series: 2-2 with WSH listed first across 4 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 · Washington Nationals
  • Manager lineup cost −0.03 R/G Optimal arrangement projects 4.40 vs actual lineup 4.43
  • Player execution −4.43 R/G Players fell 4.43 short of the lineup's 4.43 projection (scored 0)
  • Game variance −4.40 R/G Total game outcome vs optimal expectation

Wood 0-for-4 batting 1st

HOME · Pittsburgh Pirates
  • Manager lineup cost −0.06 R/G Optimal arrangement projects 4.35 vs actual lineup 4.41
  • Player execution −2.41 R/G Players fell 2.41 short of the lineup's 4.41 projection (scored 2)
  • Game variance −2.35 R/G Total game outcome vs optimal expectation

Cruz 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 4.4 – 4.3 — actual was 0 – 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.