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


name
password

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 ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
8960 17.8 -0.1 203 266 43.3 The Flames are 203-266-35 AGAINST since Feb 19, 2008 on the road.
8900 17.2 0.0 208 270 43.5 The Flames are 208-270-40 AGAINST since Feb 24, 2008 as a dog.
8270 20.5 -0.1 156 217 41.8 The Flames are 156-217-30 AGAINST since Feb 24, 2008 as a road dog.
1090 14.9 -0.2 32 39 45.1 The Flames are 32-39-2 AGAINST since Apr 02, 2009 as a road favorite.
690 53.1 0.4 9 3 75.0 The Flames are 9-3-1 ON since Dec 05, 2019 as a favorite.
620 29.5 -0.1 12 7 63.2 The Flames are 12-7-2 ON since Dec 05, 2019.
610 35.9 0.5 11 6 64.7 The Flames are 11-6 ON since Oct 22, 2019 as a home favorite.
510 26.8 0.3 11 7 61.1 The Flames are 11-7-1 ON since Oct 22, 2019 at home.
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
e-mail links:   Content@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).