Miami Marlins 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
Marlins- David HensleyBatting1-3, 1 RBI
- Adam OllerPitching6.0 IP, 0 ER, 8 K
Giants- Matt ChapmanBatting2-4, 3 RBI
- Blake SnellPitching7.0 IP, 1 ER, 8 K
Scoring summary
- 8Chapman doubled to center, Ramos scored, Wisely scored and Yastrzemski scored.1–3
- 8Pitch 6 : Ball In Play1–3
- 8Pitch 5 : Strike 2 Foul1–3
- 8Pitch 4 : Strike 2 Foul1–3
- 8Pitch 3 : Strike 2 Looking1–3
- 8Pitch 2 : Ball 11–3
- 8Pitch 1 : Strike 1 Swinging1–3
- 7Hensley singled to right, Hill scored.1–0
- 7Pitch 3 : Ball In Play1–0
- 7Pitch 2 : Ball 11–0
- 7Pitch 1 : Strike 1 Swinging1–0
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Giants 70%
Forecast Elo ratings alone
How often that comes true: MLB favorites the forecast gave 70–75% have won 75.6% of 209 graded games.
- Market
- SF 70%
- ML MIA +225 / SF -275
- Pre-line forecast
- SF 68%
- Elo + market-implied
- Elo ratings
- SF 61%
- Ratings vs. market
- −9.7 pts
- SF: Elo 60.8%, market 70.4%
- Fair odds
- SF -238
- MIA +238 · the forecast as odds, no margin
- Pregame projection
- MIA 2.8 – 4.7 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 | MIA | SF | Why |
|---|---|---|---|
| Team rating | 1442 | 1491 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | −1 | +7 | MIA: Adam Oller: team allows 0.07 more runs than with its usual starter (≈3 weighted starts) · SF: Blake Snell: team allows 0.36 fewer runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | SF +76 Elo | SF 60.8% | |
| Market-implied ratings | SF 68.8% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | SF 67.6% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | SF 70.4% | 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.
| MIA | Stat | SF |
|---|---|---|
| 29th of 303.8 | Runs scored | 4.318th of 30 |
| 29th of 305.2 | Runs allowed | 4.417th of 30 |
| 28th of 30−1.4 | Margin | −0.119th of 30 |
| 25th of 303–7 | Last 10 | 5–513th of 30 |
| 28th of 3024–41 | Road vs home | 38–287th 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 |  MIA |  SF |
|---|---|---|
| Run line | 60–73 | 66–67 |
| Last 10 | 4–6 | 7–3 |
| Favorite | 2–19 | 28–42 |
| Underdog | 58–54 | 38–25 |
| Overs–unders | 75–57–1 | 70–62–1 |
| Overs–unders, last 10 | 6–4 | 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
MIA 4–5 SF in their last 9 meetings; the forecast called 5 of 9.