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Kansas City Royals at Toronto Blue Jays, MLB forecast

FinalESPN+

Away

Royals

19-13

6–1

at

Home

Blue Jays

15-17

KC 43%TOR 57%

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Rogers Centre · ESPN+

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%KCStart12345678Final

Game center

From the ESPN box score.

Top performers

Royals
  • Michael MasseyBatting1-4, 1 HR, 4 RBI
  • Seth LugoPitching7.0 IP, 1 ER, 8 K
Blue Jays
  • Danny JansenBatting1-4, 1 HR, 1 RBI
  • Chris BassittPitching6.0 IP, 3 ER, 4 K

Scoring summary

  • 8Massey homered to right (357 feet), Witt Jr. scored and Pasquantino scored.6–1
  • 8Pitch 5 : Ball In Play6–1
  • 8Pitch 4 : Ball 23–1
  • 8Pitch 3 : Strike 2 Foul3–1
  • 8Pitch 2 : Strike 1 Foul3–1
  • 8Pitch 1 : Ball 13–1
  • 7Jansen homered to left (364 feet).3–1
  • 7Pitch 2 : Ball In Play3–1
  • 7Pitch 1 : Ball 13–1
  • 6Massey grounded out to second, Pasquantino scored, Perez to second.3–0
  • 6Pitch 3 : Ball In Play3–0
  • 6Pitch 2 : Ball 12–0
  • 6Pitch 1 : Strike 1 Foul2–0
  • 6Perez singled to left, Witt Jr. scored, Pasquantino to third.2–0
  • 6Pitch 4 : Ball In Play2–0
  • 6Pitch 3 : Strike 2 Foul1–0
  • 6Pitch 2 : Ball 11–0
  • 6Pitch 1 : Strike 1 Foul1–0
  • 6Witt Jr. singled to center, Isbel scored.1–0
  • 6Pitch 1 : Ball In Play1–0

The pick

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

Blue Jays 57%

LeanMiss
KC 43%TOR 57%

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 57%
ML KC +120 / TOR -145
Pre-line forecast
TOR 55%
Elo + market-implied
Elo ratings
TOR 53%
Ratings vs. market
−3.9 pts
TOR: Elo 52.7%, market 56.6%
Fair odds
TOR -130
KC +130 · the forecast as odds, no margin
Pregame projection
KC 3.5 – 4.0 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.

FactorKCTORWhy
Team rating14771509Elo entering the game; 1500 is league average
Home field—+18Worth 18 Elo in MLB
Starting pitchers+18−13KC: Seth Lugo: team allows 0.90 fewer runs than with its usual starter (≈10 weighted starts) · TOR: Chris Bassitt: team allows 0.63 more runs than with its usual starter (≈10 weighted starts)
Elo ratingsTOR +19 EloTOR 52.7%
Market-implied ratingsTOR 56.0%Team strength as past closing lines priced it, same game context
Pre-line forecastTOR 55.5%15% Elo, 85% market-implied (log-odds blend)
ForecastTOR 56.6%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.

Try another venue →
Kansas City Royals and Toronto Blue Jays compared, with each team's league rank
KCStatTOR
15th of 304.6Runs scored3.527th of 30
1st of 303.1Runs allowed4.417th of 30
3rd of 30+1.5Margin−0.823rd of 30
13th of 305–5Last 103–724th of 30
22nd of 306–8Road vs home8–69th of 30

Rating history

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

RoyalsBlue Jays
1450150015501600league averageAprJulOctJanAprJul

Against the line

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

This seasonKCTOR
Run line20–1115–16
Last 106–43–7
Favorite5–49–8
Underdog15–76–8
Overs–unders11–19–112–18–1
Overs–unders, last 103–73–7

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

KC 5–8 TOR in their last 13 meetings; the forecast called 7 of 13.