San Francisco Giants at Miami Marlins, 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 MIA.
Game center
From the ESPN box score.
Top performers
Giants- Matt ChapmanBatting2-2, 1 HR, 1 RBI
- Kyle HarrisonPitching5.0 IP, 0 ER, 5 K
Marlins- Jesus SanchezBatting1-2
- Cal QuantrillPitching5.0 IP, 2 ER, 7 K
Scoring summary
- 4Chapman homered to left (420 feet).2–0
- 1Flores singled to center, Ramos scored.1–0
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Giants 60%
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 60%
- ML SF -165 / MIA +140
- Pre-line forecast
- SF 63%
- Elo + market-implied
- Elo ratings
- SF 56%
- Ratings vs. market
- −4.0 pts
- SF: Elo 55.9%, market 59.9%
- Fair odds
- SF -149
- MIA +149 · the forecast as odds, no margin
- Pregame projection
- SF 4.7 – 3.8 MIA
- Margin from the forecast, posted total 8.5
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 | SF | MIA | Why |
|---|---|---|---|
| Team rating | 1513 | 1451 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | −5 | −3 | SF: Kyle Harrison: team allows 0.27 more runs than with its usual starter (≈10 weighted starts) · MIA: Cal Quantrill: team allows 0.17 more runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | SF +41 Elo | SF 55.9% | |
| Market-implied ratings | SF 64.1% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | SF 62.9% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | SF 59.9% | 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 | MIA |
|---|---|---|
| 14th of 304.3 | Runs scored | 4.217th of 30 |
| 7th of 303.6 | Runs allowed | 5.628th of 30 |
| 7th of 30+0.7 | Margin | −1.427th of 30 |
| 21st of 304–6 | Last 10 | 5–512th of 30 |
| 13th of 3014–16 | Road vs home | 13–1524th of 30 |
| 13th of 301500 | Opponent Elo | 15074th of 30 |
| 14th of 301513 | Elo rating | 145126th 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 |  MIA |
|---|---|---|
| Run line | 26–30 | 27–27 |
| Last 10 | 2–8 | 7–3 |
| Favorite | 10–21 | 1–8 |
| Underdog | 16–9 | 26–19 |
| Overs–unders | 28–28 | 32–22 |
| Overs–unders, last 10 | 1–9 | 5–5 |
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 6–6 MIA in their last 12 meetings; the forecast called 6 of 12.