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S p o r t s D a t a b a s e . c o m
sdql access to blockchain sports data


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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
1909 46.5 -1.0 15 26 36.6 The Giants are 15-26 AGAINST since Jul 02, 2016 as a road favorite
2096 11.8 -0.5 90 87 50.8 The Giants are 90-87 ON since Aug 09, 2008 as a home dog
708 21.5 0.6 18 11 62.1 The Giants are 18-11 ON since Sep 17, 2017 at home
565 26.9 -0.1 12 9 57.1 The Giants are 12-9 ON since Apr 18, 2018 as a 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).