Detroit Tigers at Boston Red Sox, 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 BOS.
Game center
From the ESPN box score.
Top performers
Tigers- Jahmai JonesBatting1-2, 2 RBI
- Casey MizePitching6.1 IP, 2 ER, 8 K
Red Sox- Masataka YoshidaBatting3-4, 1 RBI
- Kyle HarrisonPitching3.0 IP, 3 ER, 6 K
Scoring summary
- 9Rafaela tripled to right, González scored.3–4
- 8Duran singled to left, Eaton scored.3–3
- 7Lowe hit sacrifice fly to center, Yoshida scored.3–2
- 4Yoshida singled to center, Bregman scored.3–1
- 4Jones doubled to left, Dingler scored and Meadows scored, Báez to third.3–0
- 4Báez singled to right, Ibáñez scored, Meadows to second, Dingler to third.1–0
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Red Sox 53%
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
- BOS 53%
- ML DET +105 / BOS -125
- Pre-line forecast
- BOS 53%
- Elo + market-implied
- Elo ratings
- BOS 57%
- Ratings vs. market
- +3.9 pts
- BOS: Elo 57.1%, market 53.2%
- Fair odds
- BOS -114
- DET +114 · the forecast as odds, no margin
- Pregame projection
- DET 4.1 – 4.4 BOS
- 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 | DET | BOS | Why |
|---|---|---|---|
| Team rating | 1501 | 1531 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | −7 | −5 | DET: Casey Mize: team allows 0.33 more runs than with its usual starter (≈10 weighted starts) · BOS: Kyle Harrison: team allows 0.27 more runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | BOS +50 Elo | BOS 57.1% | |
| Market-implied ratings | BOS 51.9% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | BOS 52.7% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | BOS 53.2% | 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.
| DET | Stat | BOS |
|---|---|---|
| 11th of 304.7 | Runs scored | 4.96th of 30 |
| 17th of 304.3 | Runs allowed | 4.211th of 30 |
| 9th of 30+0.4 | Margin | +0.76th of 30 |
| 26th of 302–8 | Last 10 | 6–47th of 30 |
| 5th of 3040–38 | Road vs home | 46–3211th of 30 |
| 28th of 301494 | Opponent Elo | 150113th of 30 |
| 19th of 301501 | Elo rating | 15317th 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 |  DET |  BOS |
|---|---|---|
| Run line | 72–87 | 83–76 |
| Last 10 | 2–8 | 5–5 |
| Favorite | 49–65 | 40–54 |
| Underdog | 23–22 | 43–22 |
| Overs–unders | 87–72 | 78–81 |
| Overs–unders, last 10 | 4–6 | 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
DET 8–8 BOS in their last 16 meetings; the forecast called 9 of 16.