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Tampa Bay Rays at Toronto Blue Jays, MLB forecast

FinalMLB.TV, Rays.TV, WMOR, Sportsnet

Away

Rays

59-43

1–3

at

Home

Blue Jays

47-56

TB 52%TOR 48%

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Rogers Centre · MLB.TV, Rays.TV, WMOR, Sportsnet

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%TBStart1234567Final

Game center

From the ESPN box score.

Top performers

Rays
  • Yandy DiazBatting1-4, 1 RBI
  • Ian SeymourPitching6.0 IP, 2 ER, 7 K
Blue Jays
  • Vladimir Guerrero Jr.Batting2-4, 1 RBI
  • Shane BieberPitching7.0 IP, 1 ER, 3 K

Scoring summary

  • 7Guerrero Jr. singled to right, Straw scored.1–3
  • 3Springer singled to left, Pinango scored.1–2
  • 3Díaz singled to right, Feduccia scored.1–1
  • 1Kirk reached on infield single to third, Clement scored, Springer to third.0–1

The pick

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

Rays 52%

Toss-upMiss
TB 52%TOR 48%

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
TB 52%
ML TB -118 / TOR -102
Pre-line forecast
TB 50%
Elo + market-implied
Elo ratings
TB 52%
Ratings vs. market
+0.7 pts
TB: Elo 52.4%, market 51.7%
Fair odds
TB -107
TOR +107 · the forecast as odds, no margin
Pregame projection
TB 4.3 – 4.2 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.

FactorTBTORWhy
Team rating15181493Elo entering the game; 1500 is league average
Home field—+18Worth 18 Elo in MLB
Starting pitchers+12+2TB: Casey Legumina: team allows 0.60 fewer runs than with its usual starter (≈3 weighted starts) · TOR: Shane Bieber: team allows 0.09 fewer runs than with its usual starter (≈10 weighted starts)
Elo ratingsTB +17 EloTB 52.4%
Market-implied ratingsTOR 51.0%Team strength as past closing lines priced it, same game context
Pre-line forecastTOR 50.5%15% Elo, 85% market-implied (log-odds blend)
ForecastTB 51.7%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.

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Tampa Bay Rays and Toronto Blue Jays compared, with each team's league rank
TBStatTOR
13th of 304.5Runs scored3.930th of 30
9th of 304.2Runs allowed4.618th of 30
9th of 30+0.3Margin−0.624th of 30
11th of 305–5Last 103–727th of 30
15th of 3024–27Road vs home25–3024th of 30
4th of 301503Opponent Elo15035th of 30
8th of 301518Elo rating149318th of 30

Rating history

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

RaysBlue Jays
1450150015501600league averageAprAugDecAprAug

Against the line

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

This seasonTBTOR
Run line60–4147–55
Last 106–43–7
Favorite36–2221–38
Underdog24–1926–17
Overs–unders46–50–552–46–4
Overs–unders, last 106–3–16–4

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

TB 31–17 TOR in their last 48 meetings; the forecast called 27 of 48.