San Francisco Giants at Kansas City Royals, 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 KC.
Game center
From the ESPN box score.
Top performers
Giants- Heliot RamosBatting3-4, 1 RBI
- Mason BlackPitching5.2 IP, 0 ER, 4 K
Royals- Bobby Witt Jr.Batting3-4
- Michael WachaPitching5.2 IP, 2 ER, 5 K
Scoring summary
- 9Hampson hit sacrifice fly to right, Gurriel scored, Blanco to third.2–1
- 9Pitch 7 : Ball In Play2–1
- 9Pitch 6 : Strike 2 Foul2–1
- 9Pitch 5 : Strike 2 Foul2–1
- 9Pitch 4 : Ball 22–1
- 9Pitch 3 : Strike 2 Foul2–1
- 9Pitch 2 : Strike 1 Looking2–1
- 9Pitch 1 : Ball 12–1
- 6Bailey singled to right, Ramos scored.2–0
- 6Pitch 1 : Ball In Play2–0
- 1Ramos reached on infield single to pitcher, Yastrzemski scored, Canha to second.1–0
- 1Pitch 2 : Ball In Play1–0
- 1Pitch 1 : Strike 1 Foul1–0
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Royals 64%
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
- KC 64%
- ML SF +165 / KC -200
- Pre-line forecast
- KC 59%
- Elo + market-implied
- Elo ratings
- KC 58%
- Ratings vs. market
- −5.6 pts
- KC: Elo 58.3%, market 63.9%
- Fair odds
- KC -177
- SF +177 · the forecast as odds, no margin
- Pregame projection
- SF 3.6 – 4.9 KC
- 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 | SF | KC | Why |
|---|---|---|---|
| Team rating | 1490 | 1506 | Elo entering the game; 1500 is league average |
| Home field | — | +18 | Worth 18 Elo in MLB |
| Starting pitchers | −12 | +12 | SF: Mason Black: team allows 0.60 more runs than with its usual starter (≈5 weighted starts) · KC: Michael Wacha: team allows 0.62 fewer runs than with its usual starter (≈10 weighted starts) |
| Elo ratings | KC +58 Elo | KC 58.3% | |
| Market-implied ratings | KC 59.0% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | KC 58.9% | 15% Elo, 85% market-implied (log-odds blend) | |
| Forecast | KC 63.9% | 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.
| SF | Stat | KC |
|---|---|---|
| 17th of 304.3 | Runs scored | 4.79th of 30 |
| 17th of 304.4 | Runs allowed | 4.17th of 30 |
| 19th of 30−0.1 | Margin | +0.65th of 30 |
| 21st of 304–6 | Last 10 | 4–621st of 30 |
| 21st of 3033–41 | Road vs home | 45–336th 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 |  SF |  KC |
|---|---|---|
| Run line | 73–76 | 84–66 |
| Last 10 | 5–5 | 6–4 |
| Favorite | 31–48 | 36–37 |
| Underdog | 42–28 | 48–29 |
| Overs–unders | 78–70–1 | 67–82–1 |
| Overs–unders, last 10 | 5–5 | 3–7 |
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
SF 1–2 KC in their last 3 meetings; the forecast called 1 of 3.