San Francisco Giants at Detroit Tigers, 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 DET.
Game center
From the ESPN box score.
Top performers
Giants- Wilmer FloresBatting1-4, 1 RBI
- Logan WebbPitching6.0 IP, 3 ER, 10 K
Tigers- Riley GreeneBatting3-4, 2 RBI
- Jack FlahertyPitching6.0 IP, 0 ER, 8 K
Scoring summary
- 9Flores doubled to center, Ramos scored.1–3
- 3Greene singled to right, Keith scored.0–3
- 2Pérez homered to right (351 feet).0–2
- 1Greene doubled to center, Torres scored.0–1
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Giants 51%
Forecast Elo ratings alone
How often that comes true: MLB favorites the forecast gave 50–55% have won 52.7% of 2,871 graded games.
- Market
- SF 51%
- ML SF -115 / DET -105
- Pre-line forecast
- SF 53%
- Elo + market-implied
- Elo ratings
- SF 49%
- Ratings vs. market
- −2.3 pts
- SF: Elo 48.7%, market 51.1%
- Fair odds
- SF -104
- DET +104 · the forecast as odds, no margin
- Pregame projection
- SF 3.8 – 3.7 DET
- 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 | SF | DET | Why |
|---|---|---|---|
| Team rating | 1515 | 1534 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | +5 | −24 | SF: Logan Webb: team allows 0.24 fewer runs than with its usual starter (≈10 weighted starts) · DET: Jack Flaherty: team allows 1.19 more runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | DET +9 Elo | DET 51.3% | |
| Market-implied ratings | SF 53.9% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | SF 53.1% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | SF 51.1% | 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 | DET |
|---|---|---|
| 11th of 304.4 | Runs scored | 5.14th of 30 |
| 7th of 303.6 | Runs allowed | 3.68th of 30 |
| 8th of 30+0.8 | Margin | +1.53rd of 30 |
| 7th of 306–4 | Last 10 | 5–514th of 30 |
| 8th of 3014–14 | Road vs home | 19–82nd of 30 |
| 15th of 301500 | Opponent Elo | 149719th of 30 |
| 14th of 301515 | Elo rating | 15346th 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 |  DET |
|---|---|---|
| Run line | 25–29 | 30–25 |
| Last 10 | 2–8 | 4–6 |
| Favorite | 10–21 | 18–16 |
| Underdog | 15–8 | 12–9 |
| Overs–unders | 28–26 | 29–26 |
| Overs–unders, last 10 | 2–8 | 3–7 |
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 2–5 DET in their last 7 meetings; the forecast called 6 of 7.