ARCHIVE April 17, 2026
April 17, 2026 · NL East

San Francisco Giants vs Washington Nationals

April 17, 2026Nationals ParkClear 80°F · 6 mph, In From LF
AWAY
San Francisco Giants
8-12
10
vs
HOME
Washington Nationals
9-11
5

Starting pitchers

AWAY · SF
Logan Webb
Logan Webb
IP 6
HOME · WSH
Zack Littell
Zack Littell
IP 4

Lineups

AWAY · SF
  1. 1 Willy Adames SS
  2. 2 Luis Arraez 2B
  3. 3 Matt Chapman 3B
  4. 4 Rafael Devers 1B
  5. 5 Casey Schmitt DH
  6. 6 Jung Hoo Lee RF
  7. 7 Heliot Ramos LF
  8. 8 Daniel Susac C
  9. 9 Drew Gilbert CF
HOME · WSH
  1. 1 James Wood RF
  2. 2 Brady House 3B
  3. 3 Luis García Jr. 1B
  4. 4 CJ Abrams SS
  5. 5 Joey Wiemer CF
  6. 6 Daylen Lile LF
  7. 7 Nasim Nuñez 2B
  8. 8 José Tena DH
  9. 9 Keibert Ruiz C

Box score

  123456789 R
SF 060200101 10
WSH 001201100 5

Manager comparison

Both managers grade B- / C entering this matchup.

AWAY · SF
Tony Vitello
B- Lineup 0.8 R Bunts 0.7 R IBBs 1.4 R
HOME · WSH
Blake Butera
C Lineup 1.6 R Bunts 1.5 R IBBs 1.4 R

Recent form

AWAY · SF
1-8 L2 -25 run diff
LLWLLLLL?L
HOME · WSH
6-4 W3 +6 run diff
WWWLWLLWWL

Season series: 2-1 with SF 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 · San Francisco Giants
  • Manager lineup cost −0.02 R/G Optimal arrangement projects 4.79 vs actual lineup 4.81
  • Player execution +5.19 R/G Players exceeded the lineup's 4.81 projection by 5.19 (scored 10)
  • Game variance +5.21 R/G Total game outcome vs optimal expectation

Ramos HR from the 7-hole

HOME · Washington Nationals
  • Manager lineup cost +0.10 R/G Optimal arrangement projects 4.89 vs actual lineup 4.79
  • Player execution +0.21 R/G Players exceeded the lineup's 4.79 projection by 0.21 (scored 5)
  • Game variance +0.11 R/G Total game outcome vs optimal expectation

House 0-for-5 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 4.8 – 4.9 — actual was 10 – 5.

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.