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MLB Trends SDB Home    MLB Trends    MLB Query
Include trends from SDB's sample ml against SDB's sample ml on SDB's sample ou against SDB's sample ou on guest's web all active on filter on
Trends from SDB's sample ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
380 28.4 -1.3 3 7 30.0 The Pirates are 3-7-2 AGAINST since Jul 19, 2019 as a home favorite.
300 93.8 -2.8 0 3 0.0 The Pirates are 0-3 AGAINST since Aug 01, 2020 on the road.
300 93.8 -2.8 0 3 0.0 The Pirates are 0-3 AGAINST since Aug 01, 2020 as a road dog.
300 93.8 -2.8 0 3 0.0 The Pirates are 0-3 AGAINST since Aug 01, 2020 as a dog.
300 93.8 -2.8 0 3 0.0 The Pirates are 0-3 AGAINST since Aug 01, 2020.
275 19.1 -1.1 4 7 36.4 The Pirates are 4-7-2 AGAINST since Jul 19, 2019 as a favorite.
100 95.2 -5.5 0 1 0.0 The Pirates are 0-1 AGAINST since Jul 29, 2020 as a home dog.
100 95.2 -5.5 0 1 0.0 The Pirates are 0-1 AGAINST since Jul 29, 2020 at home.
1988 13.1 1.4 78 53 59.5 The Pirates are 78-53-6 ON since Jun 17, 2014 as a home dog.
999 12.9 1.2 40 27 59.7 The Pirates are 40-27-2 ON since May 12, 2019 on the road.
799 10.7 1.2 38 27 58.5 The Pirates are 38-27-2 ON since May 12, 2019 as a road dog.
535 24.5 1.1 13 7 65.0 The Pirates are 13-7 ON since Mar 30, 2018 as a road favorite.

Trend Parameters: active, english, invested, losses, margin, profit, pushes, sdql, start, team, wins


How To Use the Trends Page:
Use the Pythonic Query Language to explore a database of trends. The full PyQL format is: parameters @ conditions. More typical use just specifies the condition and takes a default output.

To see all trends with an average margin of at least 2 use the PyQL condition: margin > 2.

To see all perfect trends use the PyQL: wins * losses = 0
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Content for this site is generated using the Sports Data Query Language (SDQL).