ARCHIVE April 14, 2026
April 14, 2026 · NL Cent

Washington Nationals vs Pittsburgh Pirates

April 14, 2026PNC ParkCloudy 68°F · 10 mph, Varies
vs
HOME
Pittsburgh Pirates
10-7
4

Starting pitchers

AWAY · WSH
Miles Mikolas
Miles Mikolas
IP 3.1
HOME · PIT
Mitch Keller
Mitch Keller
IP 4

Lineups

AWAY · WSH
  1. 1 James Wood RF
  2. 2 Luis García Jr. 1B
  3. 3 Brady House DH
  4. 4 Daylen Lile LF
  5. 5 CJ Abrams SS
  6. 6 Jacob Young CF
  7. 7 Jorbit Vivas 3B
  8. 8 Drew Millas C
  9. 9 Nasim Nuñez 2B
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 3B
  7. 7 Spencer Horwitz 1B
  8. 8 Konnor Griffin SS
  9. 9 Joey Bart C

Box score

  123456789 R
WSH 301100000 5
PIT 100210000 4

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 +0.12 R/G Optimal arrangement projects 3.20 vs actual lineup 3.08
  • Player execution +1.92 R/G Players exceeded the lineup's 3.08 projection by 1.92 (scored 5)
  • Game variance +1.80 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

HOME · Pittsburgh Pirates
  • Manager lineup cost +0.00 R/G Optimal arrangement projects 4.80 vs actual lineup 4.81
  • Player execution −0.81 R/G Players fell 0.81 short of the lineup's 4.81 projection (scored 4)
  • Game variance −0.80 R/G Total game outcome vs optimal expectation

Cruz 0-for-5 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.2 – 4.8 — actual was 5 – 4.

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.