Los Angeles Angels 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
Angels- Jo AdellBatting2-3
- Reid DetmersPitching3.2 IP, 2 ER, 3 K
Blue Jays- Kazuma OkamotoBatting1-3, 1 RBI
- Dylan CeasePitching7.0 IP, 0 ER, 10 K
Scoring summary
- 3Clement hit sacrifice fly to right, Guerrero Jr. scored, Okamoto to third.0–2
- 3Okamoto singled to center, Springer scored, Guerrero Jr. to second.0–1
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Blue Jays 59%
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
- TOR 59%
- ML LAA +135 / TOR -163
- Pre-line forecast
- TOR 59%
- Elo + market-implied
- Elo ratings
- TOR 63%
- Ratings vs. market
- +3.5 pts
- TOR: Elo 62.8%, market 59.3%
- Fair odds
- TOR -146
- LAA +146 · the forecast as odds, no margin
- Pregame projection
- LAA 3.3 – 4.2 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 | LAA | TOR | Why |
|---|---|---|---|
| Team rating | 1452 | 1515 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | −5 | +5 | LAA: Reid Detmers: team allows 0.24 more runs than with its usual starter (≈10 weighted starts) · TOR: Dylan Cease: team allows 0.24 fewer runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | TOR +91 Elo | TOR 62.8% | |
| Market-implied ratings | TOR 57.9% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | TOR 58.6% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | TOR 59.3% | 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.
| LAA | Stat | TOR |
|---|---|---|
| 13th of 304.5 | Runs scored | 4.027th of 30 |
| 22nd of 304.8 | Runs allowed | 4.618th of 30 |
| 19th of 30−0.4 | Margin | −0.623rd of 30 |
| 24th of 303–7 | Last 10 | 4–619th of 30 |
| 23rd of 307–13 | Road vs home | 10–89th of 30 |
| 7th of 301507 | Opponent Elo | 149124th of 30 |
| 29th of 301452 | Elo rating | 15159th 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 |  LAA |  TOR |
|---|---|---|
| Run line | 18–20 | 17–20 |
| Last 10 | 3–7 | 6–4 |
| Favorite | 3–8 | 8–12 |
| Underdog | 15–12 | 9–8 |
| Overs–unders | 18–20 | 17–18–2 |
| Overs–unders, last 10 | 3–7 | 3–5–2 |
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
LAA 5–17 TOR in their last 22 meetings; the forecast called 14 of 22.