Atlanta Braves at San Francisco Giants, 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 SF.
Game center
From the ESPN box score.
Top performers
Braves- Michael Harris IIBatting1-4, 1 HR, 1 RBI
- Bryce ElderPitching8.0 IP, 1 ER, 12 K
Giants- Matt ChapmanBatting1-4, 1 HR, 2 RBI
- Logan WebbPitching6.0 IP, 2 ER, 10 K
Scoring summary
- 9Chapman homered to left (365 feet), Ramos scored.2–3
- 6Ozuna grounded into fielder's choice to third, Acuña Jr. scored, Riley out at second, Baldwin to third.2–1
- 5Harris II homered to center (423 feet).1–1
- 4Flores homered to left (361 feet).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 ATL +120 / SF -140
- Pre-line forecast
- SF 57%
- Elo + market-implied
- Elo ratings
- SF 54%
- Ratings vs. market
- −2.3 pts
- SF: Elo 53.9%, market 56.2%
- Fair odds
- SF -128
- ATL +128 · the forecast as odds, no margin
- Pregame projection
- ATL 3.5 – 4.0 SF
- Margin from the forecast, posted total 7.5
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 | ATL | SF | Why |
|---|---|---|---|
| Team rating | 1519 | 1515 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | −7 | +5 | ATL: Bryce Elder: team allows 0.37 more runs than with its usual starter (≈10 weighted starts) · SF: Logan Webb: team allows 0.27 fewer runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | SF +27 Elo | SF 53.9% | |
| Market-implied ratings | SF 57.6% | 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 56.2% | 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.
| ATL | Stat | SF |
|---|---|---|
| 21st of 304.1 | Runs scored | 4.119th of 30 |
| 12th of 304.0 | Runs allowed | 3.53rd of 30 |
| 16th of 30+0.1 | Margin | +0.77th of 30 |
| 28th of 302–8 | Last 10 | 5–513th of 30 |
| 26th of 3010–21 | Road vs home | 20–119th of 30 |
| 7th of 301503 | Opponent Elo | 149917th of 30 |
| 11th of 301519 | Elo rating | 151513th 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 |  ATL |  SF |
|---|---|---|
| Run line | 26–36 | 29–35 |
| Last 10 | 3–7 | 4–6 |
| Favorite | 16–28 | 11–26 |
| Underdog | 10–8 | 18–9 |
| Overs–unders | 26–36 | 30–34 |
| Overs–unders, last 10 | 5–5 | 2–8 |
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
ATL 8–6 SF in their last 14 meetings; the forecast called 6 of 14.