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
- Alex FreelandBatting3-3, 1 RBI
- Yoshinobu YamamotoPitching6.0 IP, 1 ER, 6 K
- George SpringerBatting1-4, 1 RBI
- Kevin GausmanPitching5.1 IP, 2 ER, 5 K
Scoring summary
- 9
Tucker singled to right, Freeland scored, Ohtani to second.4–1 - 6
Springer doubled to right, Giménez scored.3–1 - 5
Freeland singled to right, Kim scored.3–0 - 3
Smith grounded into fielder's choice to third, Freeland scored, Ohtani out at second.2–0 - 3
Ohtani singled to right, Kim scored, Freeland to third.1–0
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Dodgers 58%
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
- LAD 58%
- ML LAD -156 / TOR +129
- Pre-line forecast
- LAD 58%
- Elo + market-implied
- Elo ratings
- LAD 54%
- Ratings vs. market
- −4.7 pts
- LAD: Elo 53.5%, market 58.3%
- Fair odds
- LAD -140
- TOR +140 · the forecast as odds, no margin
- Pregame projection
- LAD 4.1 – 3.4 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 | 1562 | 1521 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | +13 | +12 | LAD: Yoshinobu Yamamoto: team allows 0.67 fewer runs than with its usual starter (≈10 weighted starts) · TOR: Kevin Gausman: team allows 0.58 fewer runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | LAD +24 Elo | LAD 53.5% | |
| Market-implied ratings | LAD 58.4% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | LAD 57.7% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | LAD 58.3% | 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.
| LAD | Stat | |
|---|---|---|
| 2nd of 306.8 | Runs scored | 3.622nd of 30 |
| 7th of 303.6 | Runs allowed | 5.625th of 30 |
| 1st of 30+3.2 | Margin | −2.028th of 30 |
| 1st of 304–0 | Road vs home | 4–316th of 30 |
| 22nd of 301492 | Opponent Elo | 145530th of 30 |
| 1st of 301562 | Elo rating | 15216th 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 | 6–4 | 2–8 |
| Last 10 | 6–4 | 2–8 |
| Favorite | 6–4 | 2–7 |
| Underdog | — | 0–1 |
| Overs–unders | 5–4–1 | 5–5 |
| Overs–unders, last 10 | 5–4–1 | 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
LAD 10–7 TOR in their last 17 meetings; the forecast called 11 of 17.
- Apr 6
LAD 14 @ TOR 2Picked LAD 53%Hit - Nov 1
LAD 5 @ TOR 4PlayoffsPicked LAD 54%Hit - Oct 31
LAD 3 @ TOR 1PlayoffsPicked LAD 55%Hit - Oct 29
TOR 6 @ LAD 1PlayoffsPicked LAD 63%Miss - Oct 28
TOR 6 @ LAD 2PlayoffsPicked LAD 63%Miss - Oct 27
TOR 5 @ LAD 6PlayoffsPicked LAD 63%Hit - Oct 25
LAD 5 @ TOR 1PlayoffsPicked LAD 56%Hit - Oct 24
LAD 4 @ TOR 11PlayoffsPicked LAD 58%Miss



