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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 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
628 52.3 -0.9 3 8 27.3 The Indians are 3-8 AGAINST since Oct 08, 2017 on the road
2309 21.1 0.1 58 51 53.2 The Indians are 58-51 ON since Jun 14, 2014 as a road dog
2246 15.8 0.0 73 69 51.4 The Indians are 73-69 ON since Jun 14, 2014 as a dog
1701 16.3 2.5 39 12 76.5 The Indians are 39-12 ON since Jul 06, 2017 at home
1559 15.1 2.4 38 12 76.0 The Indians are 38-12 ON since Jul 06, 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).