San Francisco Giants at Washington Nationals, MLB forecast
Win probability
Starts from the pregame forecast, then moves with the score and the time left after each inning. Above the line favors WSH.
Game center
From the ESPN box score.
Top performers
Giants- Matt ChapmanBatting2-4
- Robbie RayPitching6.0 IP, 3 ER, 7 K
Nationals- Curtis MeadBatting1-4, 1 HR, 2 RBI
- Andrew AlvarezPitching4.1 IP, 0 ER, 5 K
Scoring summary
- 5Mead homered to left (390 feet), Ruiz scored.0–3
- 5Ruiz doubled to left, Nuñez scored.0–1
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Giants 56%
Forecast Elo ratings alone
How often that comes true: MLB favorites the forecast gave 55–60% have won 55.5% of 2,596 graded games.
- Market
- SF 56%
- ML SF -143 / WSH +119
- Pre-line forecast
- SF 57%
- Elo + market-implied
- Elo ratings
- SF 56%
- Ratings vs. market
- 0.0 pts
- SF: Elo 56.3%, market 56.3%
- Fair odds
- SF -129
- WSH +129 · the forecast as odds, no margin
- Pregame projection
- SF 4.3 – 3.7 WSH
- Margin from the forecast, posted total 8
How the number is built
Elo inputs in rating points (higher favors that team; 25–28 Elo is about a point of spread in football and basketball), then how the pieces combine.
| Factor | SF | WSH | Why |
|---|---|---|---|
| Team rating | 1495 | 1451 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | +6 | −13 | SF: Robbie Ray: team allows 0.30 fewer runs than with its usual starter (≈10 weighted starts) · WSH: Miles Mikolas: team allows 0.64 more runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | SF +44 Elo | SF 56.3% | |
| Market-implied ratings | SF 57.2% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | SF 57.1% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | SF 56.3% | Follows the market (vig removed): in testing, adding the ratings made it less accurate | |
Tale of the tape
This season coming into the game, regular season, each number with its league rank (the longer the bar, the higher). Home and road: the host's record at home against the visitor's on the road. Opponent Elo: how strong the teams each has played are, 1st the toughest.
| SF | Stat | WSH |
|---|---|---|
| 26th of 303.6 | Runs scored | 5.62nd of 30 |
| 15th of 304.4 | Runs allowed | 6.430th of 30 |
| 25th of 30−0.9 | Margin | −0.823rd of 30 |
| 10th of 306–4 | Last 10 | 5–513th of 30 |
| 12th of 306–5 | Road vs home | 1–730th of 30 |
| 10th of 301505 | Opponent Elo | 15191st of 30 |
| 18th of 301495 | Elo rating | 145128th of 30 |
Rating history
Each team's Elo over the last two seasons. Hover or drag to compare on any date.
Recent form
Last five results, and whether the forecast hit.
Against the line
How each team has done against the closing spread and total, coming into this game.
| This season |  SF |  WSH |
|---|---|---|
| Run line | 10–11 | 11–10 |
| Last 10 | 7–3 | 5–5 |
| Favorite | 3–2 | 1–2 |
| Underdog | 7–9 | 10–8 |
| Overs–unders | 10–8–3 | 15–5–1 |
| Overs–unders, last 10 | 5–5 | 6–4 |
Against each game's closing line. Books set every line knowing these records: across 3,901 past games, the team with the better record against the spread so far that season covered 51.2%, short of the 52.4% a standard −110 bet needs, and over/under streaks held 48.0% of the time. They describe the past.
Head to head
SF 10–11 WSH in their last 21 meetings; the forecast called 9 of 21.