Pittsburgh Pirates 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
Pirates- Adam FrazierBatting1-3, 1 RBI
- Carmen MlodzinskiPitching3.2 IP, 4 ER, 4 K
Rays- Jake MangumBatting4-4, 2 RBI
- Drew RasmussenPitching5.0 IP, 0 ER, 4 K
Scoring summary
- 8Díaz hit sacrifice fly to center, Jansen scored.1–6
- 8Frazier singled to center, Rodríguez scored.1–5
- 6Caballero doubled to right, Mangum scored.0–5
- 4Mangum singled to right, Morel scored and Misner scored.0–4
- 4Misner doubled to right, Aranda scored, Morel to third.0–2
- 4Morel singled to left, Caminero scored, Aranda to third.0–1
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Rays 62%
Forecast Elo ratings alone
How often that comes true: MLB favorites the forecast gave 60–65% have won 61.6% of 1,194 graded games.
- Market
- TB 62%
- ML PIT +155 / TB -185
- Pre-line forecast
- TB 57%
- Elo + market-implied
- Elo ratings
- TB 54%
- Ratings vs. market
- −8.3 pts
- TB: Elo 54.0%, market 62.3%
- Fair odds
- TB -166
- PIT +166 · the forecast as odds, no margin
- Pregame projection
- PIT 3.7 – 4.8 TB
- Margin from the forecast, posted total 8.5
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 | PIT | TB | Why |
|---|---|---|---|
| Team rating | 1477 | 1505 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | +7 | −11 | PIT: Carmen Mlodzinski: team allows 0.37 fewer runs than with its usual starter (≈4 weighted starts) · TB: Drew Rasmussen: team allows 0.53 more runs than with its usual starter (≈7 weighted starts) |
| Elo ratings | TB +28 Elo | TB 54.0% | |
| Market-implied ratings | TB 57.7% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | TB 57.2% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | TB 62.3% | 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.
| PIT | Stat | TB |
|---|---|---|
| 20th of 303.5 | Runs scored | 3.322nd of 30 |
| 14th of 304.0 | Runs allowed | 2.77th of 30 |
| 17th of 30−0.5 | Margin | +0.715th of 30 |
| 10th of 171–3 | Road vs home | 2–18th of 18 |
| 25th of 301462 | Opponent Elo | 143629th of 30 |
| 24th of 301477 | Elo rating | 150514th 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.
| Last season (2024) |  PIT |  TB |
|---|---|---|
| Run line | 79–80 | 77–84 |
| Last 10 | 5–5 | 5–5 |
| Favorite | 23–42 | 25–48 |
| Underdog | 56–38 | 52–36 |
| Overs–unders | 79–80 | 71–90 |
| Overs–unders, last 10 | 4–6 | 1–9 |
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
PIT 1–5 TB in their last 6 meetings; the forecast called 5 of 6.