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Pittsburgh Pirates at San Francisco Giants, MLB forecast

Final

Away

Pirates

14-15

2–3

at

Home

Giants

14-15

PIT 50%SF 50%

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Oracle Park

Win probability

Starts from the pregame forecast, then moves with the score and the time left after each inning. Above the line favors SF.

SF75%50%75%PITStart1234567Final

Game center

From the ESPN box score.

Top performers

Pirates
  • Jared TrioloBatting1-4, 2 RBI
  • Jared JonesPitching5.0 IP, 3 ER, 3 K
Giants
  • Mike YastrzemskiBatting2-3, 1 HR, 1 RBI
  • Keaton WinnPitching6.0 IP, 1 ER, 5 K

Scoring summary

  • 9Triolo singled to left, Tellez scored.2–3
  • 9Pitch 2 : Ball In Play2–3
  • 9Pitch 1 : Ball 11–3
  • 5Triolo grounded out to shortstop, Olivares scored.1–3
  • 5Pitch 1 : Ball In Play1–3
  • 3Wade Jr. hit sacrifice fly to center, Fitzgerald scored.0–3
  • 3Pitch 6 : Ball In Play0–3
  • 3Pitch 5 : Strike 2 Foul0–2
  • 3Pitch 4 : Strike 2 Swinging0–2
  • 3Pitch 3 : Ball 20–2
  • 3Pitch 2 : Ball 10–2
  • 3Pitch 1 : Strike 1 Looking0–2
  • 3Yastrzemski homered to center (402 feet).0–2
  • 3Pitch 6 : Ball In Play0–2
  • 3Pitch 5 : Strike 2 Foul0–1
  • 3Pitch 4 : Strike 2 Foul0–1
  • 3Pitch 3 : Ball 20–1
  • 3Pitch 2 : Strike 1 Foul0–1
  • 3Pitch 1 : Ball 10–1
  • 3Estrada homered to left center (397 feet).0–1
  • 3Pitch 1 : Ball In Play0–1

The pick

Reconstructed from what was known before the game: the ratings at that point and the closing line.

Giants 50%

Toss-upHit
PIT 50%SF 50%

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
SF 50%
ML PIT -110 / SF -110
Pre-line forecast
SF 52%
Elo + market-implied
Elo ratings
SF 51%
Ratings vs. market
+1.1 pts
SF: Elo 51.1%, market 50.0%
Fair odds
SF -100
PIT -100 · the forecast as odds, no margin
Pregame projection
PIT 3.8 – 3.8 SF
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.

FactorPITSFWhy
Team rating14811482Elo entering the game; 1500 is league average
Home field—+18Worth 18 Elo in MLB
Starting pitchers+13+2PIT: Jared Jones: team allows 0.64 fewer runs than with its usual starter (≈4 weighted starts) · SF: Keaton Winn: team allows 0.10 fewer runs than with its usual starter (≈7 weighted starts)
Elo ratingsSF +7 EloSF 51.1%
Market-implied ratingsSF 52.7%Team strength as past closing lines priced it, same game context
Pre-line forecastSF 52.5%15% Elo, 85% market-implied (log-odds blend)
ForecastSF 50.0%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.

Try another venue →
Pittsburgh Pirates and San Francisco Giants compared, with each team's league rank
PITStatSF
20th of 304.0Runs scored4.020th of 30
10th of 304.2Runs allowed4.722nd of 30
19th of 30−0.2Margin−0.621st of 30
22nd of 303–7Last 106–47th of 30
12th of 309–7Road vs home8–713th of 30

Rating history

Each team's Elo over the last two seasons. Hover or drag to compare on any date.

PiratesGiants
1400145015001550league averageAprJulOctJanAprJul

Against the line

How each team has done against the closing spread and total, coming into this game.

This seasonPITSF
Run line12–1514–13
Last 101–96–4
Favorite3–86–9
Underdog9–78–4
Overs–unders13–1414–12–1
Overs–unders, last 103–74–5–1

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

PIT 3–5 SF in their last 8 meetings; the forecast called 4 of 8.