Athletics at San Francisco Giants, 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 SF.
Game center
From the ESPN box score.
Top performers
- Tyler SoderstromBatting2-4
- Aaron CivalePitching4.0 IP, 2 ER, 5 K
- Jung Hoo LeeBatting2-3, 1 HR, 1 RBI
- Robbie RayPitching8.0 IP, 0 ER, 6 K
Scoring summary
- 7
Devers singled to center, Eldridge scored, Schmitt to second.1–3 - 3
Muncy singled to left, Thomas scored.1–2 - 2
Chapman singled to left, Adames scored, Chapman out stretching at second.0–2 - 2
Lee homered to right center (414 feet).0–1
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Giants 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
- SF 57%
- ML ATH +123 / SF -149
- Pre-line forecast
- SF 52%
- Elo + market-implied
- Elo ratings
- SF 55%
- Ratings vs. market
- −2.5 pts
- SF: Elo 54.6%, market 57.2%
- Fair odds
- SF -133
- ATH +133 · the forecast as odds, no margin
- Pregame projection
- ATH 4.2 – 4.8 SF
- Margin from the forecast, posted total 9
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 | ATH | SF | Why |
|---|---|---|---|
| Team rating | 1473 | 1481 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | −10 | −3 | ATH: Aaron Civale: team allows 0.49 more runs than with its usual starter (≈10 weighted starts) · SF: Robbie Ray: team allows 0.15 more runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | SF +32 Elo | SF 54.6% | |
| Market-implied ratings | SF 51.6% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | SF 52.1% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | SF 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.
| ATH | Stat | |
|---|---|---|
| 9th of 304.7 | Runs scored | 4.123rd of 30 |
| 29th of 305.4 | Runs allowed | 4.823rd of 30 |
| 28th of 30−0.7 | Margin | −0.729th of 30 |
| 13th of 305–5 | Last 10 | 4–620th of 30 |
| 6th of 3020–17 | Road vs home | 14–2029th of 30 |
| 13th of 301501 | Opponent Elo | 15082nd of 30 |
| 28th of 301473 | Elo rating | 148124th 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 | 40–38 | 35–42 |
| Last 10 | 4–6 | 4–6 |
| Favorite | 10–25 | 9–17 |
| Underdog | 30–13 | 26–25 |
| Overs–unders | 38–36–4 | 36–35–6 |
| Overs–unders, last 10 | 5–4–1 | 4–5–1 |
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
ATH 6–11 SF in their last 17 meetings; the forecast called 10 of 17.



