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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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
545 112.4 -1.8 0 4 0.0 The Brewers are 0-4 AGAINST since Sep 27, 2019.
545 112.4 -1.8 0 4 0.0 The Brewers are 0-4 AGAINST since Sep 27, 2019 on the road.
3431 8.4 0.3 184 133 58.0 The Brewers are 184-133 ON since May 01, 2016 at home.
927 18.1 1.2 23 10 69.7 The Brewers are 23-10 ON since Jul 24, 2019 as a favorite.
834 46.3 0.2 12 6 66.7 The Brewers are 12-6 ON since Aug 17, 2019 as a dog.
736 23.6 0.1 18 13 58.1 The Brewers are 18-13 ON since Apr 06, 2018 as a home dog.
602 17.5 1.0 15 7 68.2 The Brewers are 15-7 ON since Jul 24, 2019 as a home favorite.
601 18.7 0.0 16 10 61.5 The Brewers are 16-10 ON since Aug 05, 2019 on the road.
586 48.8 -0.2 8 4 66.7 The Brewers are 8-4 ON since Aug 17, 2019 as a road dog.

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).