Seattle Mariners 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
- Josh NaylorBatting1-3, 1 HR, 1 RBI
- George KirbyPitching6.0 IP, 2 ER, 2 K
- Masyn WinnBatting2-4, 2 RBI
- Andre PallantePitching5.1 IP, 3 ER, 8 K
Scoring summary
- 6
Naylor homered to right center (418 feet).3–2 - 4
Winn singled to right, Walker scored and Gorman scored, Winn to second.2–2 - 4
Canzone singled to left, Naylor scored.2–0 - 2
Young singled to center, Arozarena scored.1–0
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Mariners 57%
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
- SEA 57%
- ML SEA -149 / STL +123
- Pre-line forecast
- SEA 60%
- Elo + market-implied
- Elo ratings
- SEA 55%
- Ratings vs. market
- −2.4 pts
- SEA: Elo 54.8%, market 57.2%
- Fair odds
- SEA -133
- STL +133 · the forecast as odds, no margin
- Pregame projection
- SEA 4.3 – 3.7 STL
- 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 | SEA | STL | Why |
|---|---|---|---|
| Team rating | 1517 | 1482 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | +5 | −11 | SEA: George Kirby: team allows 0.24 fewer runs than with its usual starter (≈10 weighted starts) · STL: Andre Pallante: team allows 0.56 more runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | SEA +33 Elo | SEA 54.8% | |
| Market-implied ratings | SEA 60.6% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | SEA 59.7% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | SEA 57.2% | 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.
| SEA | Stat | |
|---|---|---|
| 25th of 303.9 | Runs scored | 4.712th of 30 |
| 5th of 303.8 | Runs allowed | 5.125th of 30 |
| 14th of 30+0.1 | Margin | −0.520th of 30 |
| 18th of 304–6 | Last 10 | 6–46th of 30 |
| 30th of 301–8 | Road vs home | 7–513th of 30 |
| 10th of 301507 | Opponent Elo | 149221st of 30 |
| 7th of 301517 | Elo rating | 148225th 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 | ||
|---|---|---|
| Run line | 11–15 | 13–11 |
| Last 10 | 4–6 | 6–4 |
| Favorite | 8–12 | 2–2 |
| Underdog | 3–3 | 11–9 |
| Overs–unders | 12–14 | 13–10–1 |
| Overs–unders, last 10 | 5–5 | 6–4 |
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
SEA 7–2 STL in their last 9 meetings; the forecast called 6 of 9.



