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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 SDB's sample su active on filter on
Trends from SDB's sample ml against,SDB's sample ml against
$ ROI Margin wins losses % link
1283 20.7 -0.7 14 32 30.4 The Bruins are 14-32 AGAINST since Nov 08, 2016 as a road dog
699 26.8 -1.2 5 14 26.3 The Bruins are 5-14 AGAINST since Mar 27, 2018 as a dog
542 108.4 -0.4 1 4 20.0 The Bruins are 1-4 AGAINST since Jan 10, 2019 as a 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).