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Pittsburgh Pirates at St. Louis Cardinals, MLB forecast

FinalFanDuel SN MW, MLBN, MLB.TV, SportsNet PIT

Away

Pirates

12-26

0–5

at

Home

Cardinals

19-19

PIT 38%STL 62%

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Busch Stadium · FanDuel SN MW, MLBN, MLB.TV, SportsNet PIT

Win probability

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

STL75%50%75%PITStart1234567Final

Game center

From the ESPN box score.

Top performers

Pirates
  • Oneil CruzBatting1-4
  • Mitch KellerPitching6.0 IP, 3 ER, 6 K
Cardinals
  • Lars NootbaarBatting3-4, 1 RBI
  • Sonny GrayPitching7.0 IP, 0 ER, 8 K

Scoring summary

  • 8Walker singled to center, Donovan scored and Baker scored.0–5
  • 5Winn doubled to left, Scott II scored.0–3
  • 3Winn doubled to first, Nootbaar scored.0–2
  • 3Nootbaar singled to right, Scott II scored, Nootbaar to second.0–1

The pick

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

Cardinals 62%

LeanHit
PIT 38%STL 62%

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
STL 62%
ML PIT +150 / STL -180
Pre-line forecast
STL 59%
Elo + market-implied
Elo ratings
STL 60%
Ratings vs. market
−1.4 pts
STL: Elo 60.3%, market 61.6%
Fair odds
STL -161
PIT +161 · the forecast as odds, no margin
Pregame projection
PIT 3.2 – 4.3 STL
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.

FactorPITSTLWhy
Team rating14581497Elo entering the game; 1500 is league average
Home field—+18Worth 18 Elo in MLB
Starting pitchers−16−1PIT: Mitch Keller: team allows 0.81 more runs than with its usual starter (≈10 weighted starts) · STL: Sonny Gray: team allows 0.06 more runs than with its usual starter (≈10 weighted starts)
Elo ratingsSTL +72 EloSTL 60.3%
Market-implied ratingsSTL 59.0%Team strength as past closing lines priced it, same game context
Pre-line forecastSTL 59.2%15% Elo, 85% market-implied (log-odds blend)
ForecastSTL 61.6%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.

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Pittsburgh Pirates and St. Louis Cardinals compared, with each team's league rank
PITStatSTL
29th of 303.2Runs scored4.613th of 30
21st of 304.6Runs allowed4.518th of 30
26th of 30−1.4Margin+0.117th of 30
30th of 301–9Last 106–48th of 30
27th of 305–13Road vs home14–67th of 30
13th of 301502Opponent Elo150411th of 30
26th of 301458Elo rating149717th of 30

Rating history

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

PiratesCardinals
1400145015001550league averageAprJulOctJanAprJul

Against the line

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

This seasonPITSTL
Run line12–2519–18
Last 102–85–5
Favorite3–128–8
Underdog9–1311–10
Overs–unders17–2022–15
Overs–unders, last 106–46–4

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

PIT 16–15 STL in their last 31 meetings; the forecast called 15 of 31.