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NHL Trends SDB Home    NHL Trends    NHL Query
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 ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI wins losses % link
1460 30.4 14 26 35.0 The Panthers are 14-26-8 AGAINST since Mar 08, 2007 as a road favorite
2150 13.4 75 61 55.1 The Panthers are 75-61-25 ON since Jan 20, 2014 as a dog
2070 8.4 107 97 52.5 The Panthers are 107-97-43 ON since Nov 08, 2014
2000 9.1 100 90 52.6 The Panthers are 100-90-29 ON since Dec 22, 2010 as a road dog
1790 14.2 59 47 55.7 The Panthers are 59-47-20 ON since Mar 19, 2011 as a home favorite
1480 11.8 58 49 54.2 The Panthers are 58-49-18 ON since Nov 08, 2014 at home
890 24.7 19 12 61.3 The Panthers are 19-12-5 ON since Nov 14, 2014 as a home dog
500 27.8 10 6 62.5 The Panthers are 10-6-2 ON since Jan 13, 2017 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).