Los Angeles Dodgers at Toronto Blue Jays, 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 TOR.
Game center
From the ESPN box score.
Top performers
Dodgers- Mookie BettsBatting1-3, 2 RBI
- Yoshinobu YamamotoPitching6.0 IP, 1 ER, 6 K
Blue Jays- George SpringerBatting2-4, 1 RBI
- Kevin GausmanPitching6.0 IP, 3 ER, 8 K
Scoring summary
- 3Springer singled to center, Barger scored.3–1
- 3Betts singled to left, Ohtani scored and Smith scored, Freeman to second.3–0
- 3Smith doubled to left, Edman scored, Ohtani to third.1–0
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Dodgers 55%
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
- LAD 55%
- ML LAD -130 / TOR +114
- Pre-line forecast
- LAD 55%
- Elo + market-implied
- Elo ratings
- LAD 49%
- Ratings vs. market
- −5.6 pts
- LAD: Elo 49.1%, market 54.7%
- Fair odds
- LAD -121
- TOR +121 · the forecast as odds, no margin
- Pregame projection
- LAD 4.0 – 3.5 TOR
- 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 | LAD | TOR | Why |
|---|---|---|---|
| Team rating | 1566 | 1548 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | +3 | +8 | LAD: Yoshinobu Yamamoto: team allows 0.13 fewer runs than with its usual starter (≈10 weighted starts) · TOR: Kevin Gausman: team allows 0.41 fewer runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | TOR +6 Elo | TOR 50.9% | |
| Market-implied ratings | LAD 55.7% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | LAD 54.7% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | LAD 54.7% | 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.
| LAD | Stat | TOR |
|---|---|---|
| 2nd of 305.1 | Runs scored | 4.94th of 30 |
| 12th of 304.2 | Runs allowed | 4.519th of 30 |
| 4th of 30+0.9 | Margin | +0.59th of 30 |
| 2nd of 308–2 | Last 10 | 5–512th of 30 |
| 12th of 3039–40 | Road vs home | 54–272nd of 30 |
| 30th of 301493 | Opponent Elo | 150211th of 30 |
| 1st of 301566 | Elo rating | 15485th 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 |  LAD |  TOR |
|---|---|---|
| Run line | 78–99 | 99–79 |
| Last 10 | 4–6 | 7–3 |
| Favorite | 60–90 | 45–53 |
| Underdog | 18–9 | 53–26 |
| Overs–unders | 88–89 | 101–77 |
| Overs–unders, last 10 | 2–8 | 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
LAD 7–7 TOR in their last 14 meetings; the forecast called 8 of 14.
- Oct 29TOR 6 @ LAD 1PlayoffsPicked LAD 63%Miss
- Oct 28TOR 6 @ LAD 2PlayoffsPicked LAD 63%Miss
- Oct 27TOR 5 @ LAD 6PlayoffsPicked LAD 63%Hit
- Oct 25LAD 5 @ TOR 1PlayoffsPicked LAD 56%Hit
- Oct 24LAD 4 @ TOR 11PlayoffsPicked LAD 58%Miss
- Aug 10TOR 5 @ LAD 4Picked LAD 62%Miss
- Aug 9TOR 1 @ LAD 9Picked LAD 59%Hit
- Aug 8TOR 1 @ LAD 5Picked LAD 55%Hit