Detroit Tigers 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
Tigers- Wenceel PerezBatting2-4, 1 HR, 2 RBI
- Jack FlahertyPitching5.0 IP, 0 ER, 6 K
Rays- Richie PalaciosBatting2-4
- Cam BooserPitching2.0 IP, 0 ER, 1 K
Scoring summary
- 7Greene homered to right (328 feet).8–0
- 6Vierling hit sacrifice fly to left, Pérez scored.7–0
- 6Short hit sacrifice fly to center, Torkelson scored, McKinstry to second, Pérez to third.6–0
- 2Vierling doubled to left, Short scored.5–0
- 2Pérez homered to left (404 feet), Torkelson scored.4–0
- 1Dingler hit sacrifice fly to center, Vierling scored.2–0
- 1Torres homered to center (433 feet).1–0
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Rays 56%
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
- TB 56%
- ML DET +119 / TB -143
- Pre-line forecast
- TB 57%
- Elo + market-implied
- Elo ratings
- TB 59%
- Ratings vs. market
- +2.4 pts
- TB: Elo 58.8%, market 56.3%
- Fair odds
- TB -129
- DET +129 · the forecast as odds, no margin
- Pregame projection
- DET 3.7 – 4.3 TB
- Margin from the forecast, posted total 8
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 | DET | TB | Why |
|---|---|---|---|
| Team rating | 1477 | 1514 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | −18 | −11 | DET: Jack Flaherty: team allows 0.91 more runs than with its usual starter (≈10 weighted starts) · TB: Steven Matz: team allows 0.55 more runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | TB +61 Elo | TB 58.8% | |
| Market-implied ratings | TB 56.4% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | TB 56.8% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | TB 56.3% | 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.
| DET | Stat | TB |
|---|---|---|
| 30th of 303.8 | Runs scored | 4.87th of 30 |
| 16th of 304.4 | Runs allowed | 4.415th of 30 |
| 24th of 30−0.6 | Margin | +0.38th of 30 |
| 24th of 303–7 | Last 10 | 4–619th of 30 |
| 30th of 309–24 | Road vs home | 21–71st of 30 |
| 18th of 301499 | Opponent Elo | 150016th of 30 |
| 23rd of 301477 | Elo rating | 151411th 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 |  DET |  TB |
|---|---|---|
| Run line | 27–34 | 35–22 |
| Last 10 | 5–5 | 4–6 |
| Favorite | 11–22 | 20–11 |
| Underdog | 16–12 | 15–11 |
| Overs–unders | 26–32–3 | 29–25–3 |
| Overs–unders, last 10 | 4–5–1 | 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
DET 10–9 TB in their last 19 meetings; the forecast called 12 of 19.