Tampa Bay Rays at St. Louis Cardinals, 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 STL.
Game center
From the ESPN box score.
Top performers
- Carson WilliamsBatting1-4, 2 RBI
- Joe BoylePitching6.0 IP, 2 ER, 4 K
- JJ WetherholtBatting2-5, 2 RBI
- Michael McGreevyPitching6.0 IP, 0 ER, 5 K
Scoring summary
- 10
Wetherholt singled to right, Church scored and Walker scored.5–6 - 10
Díaz singled to center, Williamson scored.5–4 - 9
Fortes singled to right, Williams scored, Fortes to second.4–4 - 9
Williams singled to left, Caminero scored and Simpson scored.3–4 - 9
Simpson reached on infield single to second, Aranda scored on throwing error by second baseman Wetherholt, Caminero safe at third on error.1–4 - 8
Burleson hit sacrifice fly to center, Scott II scored.0–4 - 8
Herrera doubled to center, Walker scored, Scott II to third.0–3 - 1
Gorman singled to right, Burleson scored, Gorman to second.0–2 - 1
Burleson singled to center, Wetherholt scored.0–1
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 TB -115 / STL -105
- Pre-line forecast
- TB 49%
- Elo + market-implied
- Elo ratings
- TB 48%
- Ratings vs. market
- −3.3 pts
- TB: Elo 47.8%, market 51.1%
- Fair odds
- TB -104
- STL +104 · the forecast as odds, no margin
- Pregame projection
- TB 3.8 – 3.7 STL
- 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 | TB | STL | Why |
|---|---|---|---|
| Team rating | 1496 | 1482 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | −10 | +1 | TB: Joe Boyle: team allows 0.51 more runs than with its usual starter (≈9 weighted starts) · STL: Michael McGreevy: team allows 0.07 fewer runs than with its usual starter (≈9 weighted starts) |
| Elo ratings | STL +16 Elo | STL 52.2% | |
| Market-implied ratings | STL 50.6% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | STL 50.9% | 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
Last season (2025) 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.
| TB | Stat | |
|---|---|---|
| 15th of 304.4 | Runs scored | 4.319th of 30 |
| 12th of 304.2 | Runs allowed | 4.722nd of 30 |
| 14th of 30+0.2 | Margin | −0.422nd of 30 |
| 23rd of 303–7 | Last 10 | 4–617th of 30 |
| 20th of 3036–45 | Road vs home | 44–3716th of 30 |
| 2nd of 301504 | Opponent Elo | 15035th of 30 |
| 20th of 301496 | Elo rating | 148224th 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 (2025) | ||
|---|---|---|
| Run line | 81–81 | 76–86 |
| Last 10 | 4–6 | 5–5 |
| Favorite | 29–50 | 24–48 |
| Underdog | 52–31 | 52–38 |
| Overs–unders | 75–87 | 85–77 |
| Overs–unders, last 10 | 6–4 | 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
TB 4–6 STL in their last 10 meetings; the forecast called 6 of 10.



