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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 wins losses % link
1688 54.3 9 20 31.0 The Wild are 9-20 AGAINST since Mar 07, 2017
1233 61.6 7 13 35.0 The Wild are 7-13 AGAINST since Mar 07, 2017 as a favorite
1022 78.0 4 9 30.8 The Wild are 4-9 AGAINST since Mar 07, 2017 at home
922 76.8 4 8 33.3 The Wild are 4-8 AGAINST since Mar 07, 2017 as a home favorite
766 39.9 5 12 29.4 The Wild are 5-12 AGAINST since Mar 02, 2017 on the road

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).