Winning picks from SDQL masters.
S p o r t s D a t a b a s e . c o m
tools for the objective handicapper


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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 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
2051 16.3 0.0 61 62 49.6 The Flames are 61-62 AGAINST since Mar 29, 2017 at home.
1081 29.8 -1.0 7 20 25.9 The Flames are 7-20 AGAINST since Jan 13, 2016 as a home dog.
1043 28.9 -0.2 17 19 47.2 The Flames are 17-19 AGAINST since Mar 25, 2019 as a home favorite.
2735 8.5 -0.2 146 153 48.8 The Flames are 146-153 ON since Apr 08, 2013 on the road.
1348 14.6 0.8 44 24 64.7 The Flames are 44-24 ON since Mar 26, 2011 as a road favorite.
700 53.8 1.4 9 4 69.2 The Flames are 9-4 ON since Nov 23, 2019 as a road dog.
510 30.0 0.8 10 7 58.8 The Flames are 10-7 ON since Nov 23, 2019 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).