Toronto Blue Jays 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
- Vladimir Guerrero Jr.Batting3-5
- Kevin GausmanPitching8.0 IP, 0 ER, 10 K
- Rafael DeversBatting2-4
- Tanner HouckPitching6.2 IP, 1 ER, 2 K
Scoring summary
- 11
Bichette hit sacrifice fly to center, Clement scored.2–1 - 1
Bregman hit sacrifice fly to center, Duran scored.1–1 - 1
Wagner grounded out to second, Guerrero Jr. scored, Giménez to second, Santander 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 54%
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 54%
- ML TOR +110 / BOS -130
- Pre-line forecast
- BOS 53%
- Elo + market-implied
- Elo ratings
- BOS 50%
- Ratings vs. market
- −3.8 pts
- BOS: Elo 50.4%, market 54.3%
- Fair odds
- BOS -119
- TOR +119 · the forecast as odds, no margin
- Pregame projection
- TOR 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 | TOR | BOS | Why |
|---|---|---|---|
| Team rating | 1496 | 1498 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | +13 | −3 | TOR: Kevin Gausman: team allows 0.66 fewer runs than with its usual starter (≈10 weighted starts) · BOS: Tanner Houck: team allows 0.17 more runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | BOS +3 Elo | BOS 50.4% | |
| Market-implied ratings | BOS 53.7% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | BOS 53.2% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | BOS 54.3% | 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.
| TOR | Stat | |
|---|---|---|
| 16th of 303.9 | Runs scored | 5.55th of 30 |
| 8th of 303.7 | Runs allowed | 4.820th of 30 |
| 13th of 30+0.3 | Margin | +0.810th of 30 |
| 9th of 306–4 | Last 10 | 5–514th of 30 |
| 14th of 302–3 | Road vs home | 3–217th of 30 |
| 15th of 301504 | Opponent Elo | 150019th of 30 |
| 20th of 301496 | Elo rating | 149818th 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 | ||
|---|---|---|
| Run line | 9–3 | 7–5 |
| Last 10 | 8–2 | 6–4 |
| Favorite | 5–2 | 4–3 |
| Underdog | 4–1 | 3–2 |
| Overs–unders | 3–9 | 5–7 |
| 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
TOR 13–15 BOS in their last 28 meetings; the forecast called 12 of 28.



