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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 wins losses % link
1388 9.7 51 69 42.5 The Brewers are 51-69-9 against since May 11, 2016
1328 12.6 37 53 41.1 The Brewers are 37-53-6 against since May 11, 2016 as a dog
1135 16.0 23 36 39.0 The Brewers are 23-36-5 against since May 12, 2016 at home
970 36.4 6 16 27.3 The Brewers are 6-16-2 against since Jul 08, 2016 as a home dog
2105 14.9 73 48 60.3 The Brewers are 73-48-9 on since May 18, 2011 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).