Skip to content
ShadowCryptsPredictions
Live
MLB games
Updated

San Francisco Giants at Toronto Blue Jays, MLB forecast

Final

Away

Giants

45-36

1–2

at

Home

Blue Jays

45-37

SF 48%TOR 52%

You didn't pick this one.

Rogers Centre

Win probability

Starts from the pregame forecast, then moves with the score and the time left after each inning. Above the line favors TOR.

TOR75%50%75%SFStart1234567Final

Game center

From the ESPN box score.

Top performers

Giants
  • Patrick BaileyBatting2-4
  • Keaton WinnPitching6.0 IP, 2 ER, 3 K
Blue Jays
  • Vladimir Guerrero Jr.Batting1-2, 1 HR, 2 RBI
  • Chris BassittPitching6.0 IP, 0 ER, 12 K

Scoring summary

  • 9Sabol singled to center, Bailey scored.1–2
  • 9Pitch 3 : Ball In Play1–2
  • 9Pitch 2 : Strike 2 Swinging0–2
  • 9Pitch 1 : Strike 1 Foul0–2
  • 6Guerrero Jr. homered to left center (413 feet), Belt scored.0–2
  • 6Pitch 6 : Ball In Play0–2
  • 6Pitch 5 : Strike 2 Foul0–0
  • 6Pitch 4 : Ball 20–0
  • 6Pitch 3 : Strike 2 Foul0–0
  • 6Pitch 2 : Strike 1 Swinging0–0
  • 6Pitch 1 : Ball 10–0

The pick

Reconstructed from what was known before the game: the ratings at that point.

Blue Jays 52%

Toss-upHit
SF 48%TOR 52%

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
No line yet
Pre-line forecast
TOR 52%
Elo + market-implied
Elo ratings
TOR 51%
Fair odds
TOR -109
SF +109 · the forecast as odds, no margin
Pregame projection
SF 4.3 – 4.4 TOR
Margin from the forecast, total from team scoring ratings

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.

FactorSFTORWhy
Team rating15201512Elo entering the game; 1500 is league average
Home field—+18Worth 18 Elo in MLB
Starting pitchers−10−13SF: Keaton Winn (no track record yet) · TOR: Chris Bassitt: team allows 0.65 more runs than with its usual starter (≈8 weighted starts)
Elo ratingsTOR +7 EloTOR 51.0%
Market-implied ratingsTOR 52.3%Team strength as past closing lines priced it, same game context
Pre-line forecastTOR 52.1%15% Elo, 85% market-implied (log-odds blend)

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.

Try another venue →
San Francisco Giants and Toronto Blue Jays compared, with each team's league rank
SFStatTOR
9th of 304.9Runs scored4.514th of 30
14th of 304.3Runs allowed4.211th of 30
5th of 30+0.5Margin+0.312th of 30
2nd of 307–3Last 105–511th of 30
3rd of 3022–14Road vs home22–158th of 30

Rating history

Each team's Elo over the last two seasons. Hover or drag to compare on any date.

GiantsBlue Jays
1450150015501600league averageAprJulOctJanAprJul

Head to head

SF 1–1 TOR in their last 2 meetings; the forecast called 1 of 2.