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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 on,SDB's sample ml against,SDB's sample ml on
$ ROI wins losses % link
768 13.4 12 25 32.4 The Panthers are 12-25 AGAINST since Mar 11, 2017 as a road dog
770 64.6 9 1 90.0 The Panthers are 9-1 ON since Dec 19, 2017 as a favorite
705 25.1 16 10 61.5 The Panthers are 16-10 ON since Dec 19, 2017
570 41.1 9 3 75.0 The Panthers are 9-3 ON since Dec 22, 2017 at home
570 58.3 7 1 87.5 The Panthers are 7-1 ON since Dec 23, 2017 as a home 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).