Baltimore Orioles at Tampa Bay Rays, MLB forecast
Win probability
Starts from the pregame forecast, then moves with the score and the time left after each inning. Above the line favors TB.
Game center
From the ESPN box score.
Top performers
Orioles- Anthony SantanderBatting1-4, 1 HR, 1 RBI
- Albert SuarezPitching6.2 IP, 0 ER, 5 K
Rays- Dylan CarlsonBatting1-1, 1 RBI
- Jeffrey SpringsPitching5.0 IP, 1 ER, 8 K
Scoring summary
- 8Mead hit sacrifice fly to right, B. Lowe scored, Morel to third.1–2
- 8Pitch 3 : Ball In Play1–2
- 8Pitch 2 : Strike 1 Swinging1–2
- 8Pitch 1 : Ball 11–2
- 7Carlson singled to center, Caballero scored, Carlson to second.1–1
- 7Pitch 2 : Ball In Play1–1
- 7Pitch 1 : Ball 11–1
- 4Santander homered to left center (384 feet).1–0
- 4Pitch 6 : Ball In Play1–0
- 4Pitch 5 : Strike 2 Looking1–0
- 4Pitch 4 : Strike 1 Looking1–0
- 4Pitch 3 : Ball 31–0
- 4Pitch 2 : Ball 21–0
- 4Pitch 1 : Ball 11–0
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Rays 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
- TB 51%
- ML BAL -105 / TB -115
- Pre-line forecast
- TB 50%
- Elo + market-implied
- Elo ratings
- TB 50%
- Ratings vs. market
- −1.4 pts
- TB: Elo 49.6%, market 51.1%
- Fair odds
- TB -104
- BAL +104 · the forecast as odds, no margin
- Pregame projection
- BAL 3.7 – 3.8 TB
- 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.
| Factor | BAL | TB | Why |
|---|---|---|---|
| Team rating | 1545 | 1507 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | 0 | +17 | BAL: Albert Suarez: team allows 0.00 more runs than with its usual starter (≈8 weighted starts) · TB: Jeffrey Springs: team allows 0.87 fewer runs than with its usual starter (≈4 weighted starts) |
| Elo ratings | BAL +3 Elo | BAL 50.4% | |
| Market-implied ratings | BAL 50.1% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | BAL 50.2% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | TB 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.
| BAL | Stat | TB |
|---|---|---|
| 3rd of 305.1 | Runs scored | 3.927th of 30 |
| 13th of 304.3 | Runs allowed | 4.416th of 30 |
| 6th of 30+0.8 | Margin | −0.423rd of 30 |
| 7th of 306–4 | Last 10 | 4–618th of 30 |
| 2nd of 3036–23 | Road vs home | 30–3119th of 30 |
Rating history
Each team's Elo over the last two seasons. Hover or drag to compare on any date.
Recent form
Last five results, and whether the forecast hit.
Against the line
How each team has done against the closing spread and total, coming into this game.
| This season |  BAL |  TB |
|---|---|---|
| Run line | 63–54 | 56–60 |
| Last 10 | 7–3 | 6–4 |
| Favorite | 44–46 | 22–36 |
| Underdog | 19–8 | 34–24 |
| Overs–unders | 69–46–2 | 56–60 |
| Overs–unders, last 10 | 8–2 | 4–6 |
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
BAL 16–6 TB in their last 22 meetings; the forecast called 14 of 22.