Colorado Rockies 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
Rockies- Ezequiel TovarBatting2-4, 1 HR, 3 RBI
- German MarquezPitching4.1 IP, 6 ER, 1 K
Giants- Heliot RamosBatting1-5, 1 HR, 3 RBI
- Trevor McDonaldPitching7.0 IP, 0 ER, 10 K
Scoring summary
- 5Eldridge hit sacrifice fly to right, Adames scored.3–6
- 5Tovar homered to center (427 feet), Doyle scored and Fulford scored.3–5
- 2Ramos homered to left center (439 feet), Lee scored and McCray scored.0–5
- 1Adames homered to left (402 feet), Devers scored.0–2
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Giants 69%
Forecast Elo ratings alone
How often that comes true: MLB favorites the forecast gave 65–70% have won 69.7% of 518 graded games.
- Market
- SF 69%
- ML COL +205 / SF -250
- Pre-line forecast
- SF 66%
- Elo + market-implied
- Elo ratings
- SF 72%
- Ratings vs. market
- +3.6 pts
- SF: Elo 72.1%, market 68.5%
- Fair odds
- SF -218
- COL +218 · the forecast as odds, no margin
- Pregame projection
- COL 3.4 – 5.1 SF
- 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 | COL | SF | Why |
|---|---|---|---|
| Team rating | 1369 | 1499 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | −6 | +10 | COL: German Marquez: team allows 0.32 more runs than with its usual starter (≈10 weighted starts) · SF: Trevor McDonald: team allows 0.50 fewer runs than with its usual starter (≈1 weighted starts) |
| Elo ratings | SF +165 Elo | SF 72.1% | |
| Market-implied ratings | SF 65.2% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | SF 66.3% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | SF 68.5% | 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.
| COL | Stat | SF |
|---|---|---|
| 29th of 303.7 | Runs scored | 4.317th of 30 |
| 30th of 306.3 | Runs allowed | 4.315th of 30 |
| 30th of 30−2.6 | Margin | +0.116th of 30 |
| 27th of 302–8 | Last 10 | 3–723rd of 30 |
| 30th of 3018–60 | Road vs home | 39–3921st of 30 |
| 1st of 301510 | Opponent Elo | 150211th of 30 |
| 30th of 301369 | Elo rating | 149920th 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 |  COL |  SF |
|---|---|---|
| Run line | 75–84 | 70–89 |
| Last 10 | 4–6 | 5–5 |
| Favorite | 3–4 | 27–61 |
| Underdog | 72–80 | 43–28 |
| Overs–unders | 74–85 | 78–81 |
| Overs–unders, last 10 | 7–3 | 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
COL 9–27 SF in their last 36 meetings; the forecast called 24 of 36.