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- Colton CowserBatting1-4, 1 HR, 1 RBI
- Dean KremerPitching5.0 IP, 1 ER, 4 K
Rays- Junior CamineroBatting2-4, 1 RBI
- Zack LittellPitching6.0 IP, 3 ER, 3 K
Scoring summary
- 9Holliday singled to center, Carlson scored, Holliday to second.5–1
- 7Henderson singled to center, Carlson scored, Rutschman to second.4–1
- 6Laureano singled to center, Westburg scored, O'Hearn to second.3–1
- 5Cowser homered to right center (405 feet).2–1
- 4Caminero singled to right, B. Lowe scored, Díaz to second.1–1
- 2Laureano reached on infield single to second, Westburg scored.1–0
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Rays 50%
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 50%
- ML BAL -110 / TB -110
- Pre-line forecast
- TB 54%
- Elo + market-implied
- Elo ratings
- TB 59%
- Ratings vs. market
- +8.5 pts
- TB: Elo 58.5%, market 50.0%
- Fair odds
- TB -100
- BAL -100 · the forecast as odds, no margin
- Pregame projection
- BAL 4.8 – 4.8 TB
- Margin from the forecast, posted total 9.5
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 | 1486 | 1528 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | +5 | +4 | BAL: Dean Kremer: team allows 0.24 fewer runs than with its usual starter (≈10 weighted starts) · TB: Zack Littell: team allows 0.22 fewer runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | TB +60 Elo | TB 58.5% | |
| Market-implied ratings | TB 53.4% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | TB 54.2% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | TB 50.0% | 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.
| BAL | Stat | TB |
|---|---|---|
| 24th of 303.9 | Runs scored | 4.69th of 30 |
| 25th of 305.1 | Runs allowed | 3.74th of 30 |
| 27th of 30−1.1 | Margin | +0.96th of 30 |
| 15th of 305–5 | Last 10 | 7–33rd of 30 |
| 25th of 3014–22 | Road vs home | 24–2018th of 30 |
| 26th of 301494 | Opponent Elo | 15027th of 30 |
| 23rd of 301486 | Elo rating | 15288th 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 | 30–41 | 38–34 |
| Last 10 | 5–5 | 6–4 |
| Favorite | 13–24 | 14–24 |
| Underdog | 17–17 | 24–10 |
| Overs–unders | 33–38 | 29–43 |
| Overs–unders, last 10 | 4–6 | 5–5 |
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
BAL 17–10 TB in their last 27 meetings; the forecast called 17 of 27.