Toronto Blue Jays at San Francisco Giants, 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 SF.
Game center
From the ESPN box score.
Top performers
Blue Jays- Ernie ClementBatting1-4, 1 HR, 3 RBI
- Yusei KikuchiPitching7.1 IP, 2 ER, 13 K
Giants- Heliot RamosBatting2-4, 1 HR, 1 RBI
- Blake SnellPitching5.0 IP, 0 ER, 3 K
Scoring summary
- 9Fitzgerald scored on Richards wild pitch.3–4
- 9Fitzgerald scored on Richards wild pitch.3–4
- 9Pitch 6 : Ball 33–4
- 9Pitch 5 : Ball 23–3
- 9Pitch 4 : Ball 13–3
- 9Pitch 3 : Strike 2 Foul3–3
- 9Pitch 2 : Strike 2 Foul3–3
- 9Pitch 1 : Strike 1 Swinging3–3
- 9Wisely singled to center, Bailey scored, Fitzgerald to third.3–3
- 9Pitch 3 : Ball In Play3–3
- 9Pitch 2 : Strike 2 Foul3–2
- 9Pitch 1 : Strike 1 Looking3–2
- 8Fitzgerald homered to left (360 feet).3–2
- 8Pitch 2 : Ball In Play3–2
- 8Pitch 1 : Ball 13–1
- 7Clement homered to left center (385 feet), Jansen scored and Kiermaier scored.3–1
- 7Pitch 4 : Ball In Play3–1
- 7Pitch 3 : Strike 2 Looking0–1
- 7Pitch 2 : Ball 10–1
- 7Pitch 1 : Strike 1 Foul0–1
- 4Ramos homered to center (418 feet).0–1
- 4Pitch 3 : Ball In Play0–1
- 4Pitch 2 : Strike 2 Swinging0–0
- 4Pitch 1 : Strike 1 Looking0–0
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Giants 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
- SF 54%
- ML TOR +110 / SF -130
- Pre-line forecast
- SF 53%
- Elo + market-implied
- Elo ratings
- SF 55%
- Ratings vs. market
- +1.0 pts
- SF: Elo 55.2%, market 54.3%
- Fair odds
- SF -119
- TOR +119 · the forecast as odds, no margin
- Pregame projection
- TOR 3.6 – 3.9 SF
- 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 | TOR | SF | Why |
|---|---|---|---|
| Team rating | 1495 | 1489 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | −30 | −6 | TOR: Yusei Kikuchi: team allows 1.49 more runs than with its usual starter (≈10 weighted starts) · SF: Blake Snell: team allows 0.28 more runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | SF +37 Elo | SF 55.2% | |
| Market-implied ratings | SF 52.2% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | SF 52.7% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | SF 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.
| TOR | Stat | SF |
|---|---|---|
| 26th of 304.0 | Runs scored | 4.414th of 30 |
| 21st of 304.6 | Runs allowed | 4.722nd of 30 |
| 24th of 30−0.6 | Margin | −0.322nd of 30 |
| 22nd of 304–6 | Last 10 | 5–513th of 30 |
| 19th of 3021–25 | Road vs home | 25–1910th 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 |  TOR |  SF |
|---|---|---|
| Run line | 43–47 | 47–43 |
| Last 10 | 4–6 | 7–3 |
| Favorite | 21–28 | 17–23 |
| Underdog | 22–19 | 30–20 |
| Overs–unders | 45–44–1 | 50–39–1 |
| Overs–unders, last 10 | 7–3 | 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
TOR 2–1 SF in their last 3 meetings; the forecast called 2 of 3.