ARCHIVE April 13, 2026
April 13, 2026 · NL Cent

Washington Nationals vs Pittsburgh Pirates

April 13, 2026PNC ParkPartly Cloudy 79°F · 14 mph, Out To LF
vs
HOME
Pittsburgh Pirates
10-6
16

Starting pitchers

AWAY · WSH
Paxton Schultz
Paxton Schultz
IP 2.2
HOME · PIT
Paul Skenes
Paul Skenes
IP 6

Lineups

AWAY · WSH
  1. 1 James Wood RF
  2. 2 Luis García 1B
  3. 3 CJ Abrams SS
  4. 4 Daylen Lile LF
  5. 5 Jacob Young CF
  6. 6 José Tena DH
  7. 7 Jorbit Vivas 3B
  8. 8 Nasim Nuñez 2B
  9. 9 Keibert Ruiz C
HOME · PIT
  1. 1 Oneil Cruz CF
  2. 2 Brandon Lowe 2B
  3. 3 Bryan Reynolds DH
  4. 4 Ryan O'Hearn RF
  5. 5 Nick Yorke 3B
  6. 6 Spencer Horwitz 1B
  7. 7 Konnor Griffin SS
  8. 8 Jake Mangum LF
  9. 9 Henry Davis C

Box score

  123456789 R
WSH 100000400 5
PIT 0410010010 16

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 +0.08 R/G Optimal arrangement projects 3.14 vs actual lineup 3.05
  • Player execution +1.95 R/G Players exceeded the lineup's 3.05 projection by 1.95 (scored 5)
  • Game variance +1.86 R/G Total game outcome vs optimal expectation

Jr. 0-for-5 batting 2nd

HOME · Pittsburgh Pirates
  • Manager lineup cost +0.19 R/G Optimal arrangement projects 3.91 vs actual lineup 3.72
  • Player execution +12.28 R/G Players exceeded the lineup's 3.72 projection by 12.28 (scored 16)
  • Game variance +12.09 R/G Total game outcome vs optimal expectation

Davis 2-for-4 from the 9-hole

COUNTERFACTUAL

Optimal lineups projected 3.1 – 3.9 — actual was 5 – 16.

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.