Information you need to win. 		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
7550 16.0 -0.0 194 245 44.2 The Flames are 194-245-33 AGAINST since Jan 13, 2008 on the road.
6810 13.1 0.1 219 261 45.6 The Flames are 219-261-41 AGAINST since Dec 18, 2007 as a dog.
6720 17.3 -0.0 155 202 43.4 The Flames are 155-202-31 AGAINST since Dec 18, 2007 as a road dog.
1170 43.3 -0.7 7 17 29.2 The Flames are 7-17-3 AGAINST since Feb 22, 2019.
950 36.5 -0.5 7 15 31.8 The Flames are 7-15-4 AGAINST since Feb 14, 2019 as a favorite.
940 14.9 -0.2 28 34 45.2 The Flames are 28-34-1 AGAINST since Apr 02, 2009 as a road favorite.
670 74.4 -1.2 1 7 12.5 The Flames are 1-7-1 AGAINST since Mar 19, 2019 at home.
670 74.4 -1.2 1 7 12.5 The Flames are 1-7-1 AGAINST since Mar 19, 2019 as a home favorite.
1530 26.8 0.8 33 21 61.1 The Flames are 33-21-3 ON since Mar 28, 2014 as a home 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
e-mail links:   Content@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).