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Toronto Blue Jays at Baltimore Orioles, MLB forecast

FinalDoubleheader - Game 2

Away

Blue Jays

77-82

2–4

at

Home

Orioles

78-81

TOR 47%BAL 53%

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Oriole Park at Camden Yards · MLB.TV, MASN, Sportsnet, TVA

Win probability

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

BAL75%50%75%TORStart1234567Final

Game center

From the ESPN box score.

Top performers

Blue Jays
  • Davis SchneiderBatting1-2, 1 HR, 2 RBI
  • CJ Van EykPitching5.0 IP, 4 ER, 2 K
Orioles
  • Christian Encarnacion-StrandBatting2-3, 1 HR, 3 RBI
  • Trey GibsonPitching6.2 IP, 0 ER, 7 K

Scoring summary

  • 9Schneider homered to left (351 feet), Keys scored.2–4
  • 4Encarnacion-Strand homered to left (383 feet).0–4
  • 1Cowser doubled to shortstop, Encarnacion-Strand scored.0–3
  • 1Encarnacion-Strand singled to left, Alonso scored and Mayo scored.0–2

The pick

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

Orioles 53%

Toss-upHit
TOR 47%BAL 53%

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
BAL 53%
ML TOR +102 / BAL -123
Pre-line forecast
BAL 50%
Elo + market-implied
Elo ratings
BAL 47%
Ratings vs. market
−5.2 pts
BAL: Elo 47.5%, market 52.7%
Fair odds
BAL -111
TOR +111 · the forecast as odds, no margin
Pregame projection
TOR 3.6 – 3.9 BAL
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.

FactorTORBALWhy
Team rating15071495Elo entering the game; 1500 is league average
Home field—+18Worth 18 Elo in MLB
Starting pitchers−2−25TOR: CJ Van Eyk (no track record yet) · BAL: Trey Gibson: team allows 1.26 more runs than with its usual starter (≈5 weighted starts)
Elo ratingsTOR +17 EloTOR 52.5%
Market-implied ratingsTOR 50.1%Team strength as past closing lines priced it, same game context
Pre-line forecastTOR 50.4%15% Elo, 85% market-implied (log-odds blend)
ForecastBAL 52.7%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.

Try another venue →
Toronto Blue Jays and Baltimore Orioles compared, with each team's league rank
TORStatBAL
30th of 304.0Runs scored4.417th of 30
11th of 304.3Runs allowed4.621st of 30
21st of 30−0.3Margin−0.218th of 30
18th of 304–6Last 105–512th of 30
18th of 3037–43Road vs home38–4222nd of 30
7th of 301504Opponent Elo15038th of 30
11th of 301507Elo rating149517th of 30

Rating history

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

Blue JaysOrioles
1450150015501600league averageAprJulOctJanAprJul

Against the line

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

This seasonTORBAL
Run line81–7780–78
Last 105–55–5
Favorite32–5035–45
Underdog49–2745–33
Overs–unders80–73–577–76–5
Overs–unders, last 107–34–6

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 22–29 BAL in their last 51 meetings; the forecast called 30 of 51.