Skip to content
ShadowCryptsPredictions
Live
MLB games
Updated

Seattle Mariners at Toronto Blue Jays, MLB forecast

FinalSportsnet One, MLB.TV, Root Sports NW

Away

Mariners

12-10

8–3

at

Home

Blue Jays

12-10

SEA 49%TOR 51%

You didn't pick this one.

Rogers Centre · Sportsnet One, MLB.TV, Root Sports NW

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%SEAStart12345678Final

Game center

From the ESPN box score.

Top performers

Mariners
  • Dylan MooreBatting2-5, 1 HR, 1 RBI
  • Luis CastilloPitching5.0 IP, 3 ER, 5 K
Blue Jays
  • Tyler HeinemanBatting3-4, 1 RBI
  • Paxton SchultzPitching4.1 IP, 0 ER, 8 K

Scoring summary

  • 7Tellez homered to right (393 feet), Garver scored.8–3
  • 3Lukes hit sacrifice fly to center, Springer scored.6–3
  • 2Bichette singled to left, Wagner scored, Lukes to second.6–2
  • 2Heineman reached on infield single to second, Barger scored, Wagner to second.6–1
  • 2Garver singled to center, Rodríguez scored, Arozarena to third.6–0
  • 2Arozarena singled to left, Rivas scored and Williamson scored, Rodríguez to second.5–0
  • 1Raleigh homered to left (398 feet), Rodríguez scored.3–0
  • 1Moore homered to left center (364 feet).1–0

The pick

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

Blue Jays 51%

Toss-upMiss
SEA 49%TOR 51%

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
TOR 51%
ML SEA -105 / TOR -115
Pre-line forecast
TOR 49%
Elo + market-implied
Elo ratings
TOR 50%
Ratings vs. market
−1.6 pts
TOR: Elo 49.5%, market 51.1%
Fair odds
TOR -104
SEA +104 · the forecast as odds, no margin
Pregame projection
SEA 4.2 – 4.3 TOR
Margin from the forecast, posted total 8.5

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.

FactorSEATORWhy
Team rating15201497Elo entering the game; 1500 is league average
Home field—+18Worth 18 Elo in MLB
Starting pitchers−3−1SEA: Luis Castillo: team allows 0.14 more runs than with its usual starter (≈10 weighted starts) · TOR: Easton Lucas: team allows 0.07 more runs than with its usual starter (≈3 weighted starts)
Elo ratingsSEA +3 EloSEA 50.5%
Market-implied ratingsSEA 51.1%Team strength as past closing lines priced it, same game context
Pre-line forecastSEA 51.0%15% Elo, 85% market-implied (log-odds blend)
ForecastTOR 51.1%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.

Try another venue →
Seattle Mariners and Toronto Blue Jays compared, with each team's league rank
SEAStatTOR
18th of 304.3Runs scored4.022nd of 30
13th of 304.3Runs allowed3.97th of 30
14th of 300.0Margin+0.112th of 30
1st of 307–3Last 106–45th of 30
16th of 303–5Road vs home8–410th of 30
17th of 301501Opponent Elo150610th of 30
12th of 301520Elo rating149718th of 30

Rating history

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

MarinersBlue Jays
1450150015501600league averageAprJulOctJanAprJul

Against the line

How each team has done against the closing spread and total, coming into this game.

This seasonSEATOR
Run line11–1016–5
Last 107–38–2
Favorite3–77–4
Underdog8–39–1
Overs–unders9–128–13
Overs–unders, last 106–45–5

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

SEA 6–8 TOR in their last 14 meetings; the forecast called 9 of 14.