Information you need to win
S p o r t s D a t a b a s e . c o m
sdql access to blockchain sports data


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 SDB's sample su active on filter on
Trends from SDB's sample ou against,SDB's sample ou against
$ ROI wins losses % link
8650 10.1 370 415 47.1 The Flames are 370-415-69 AGAINST since Oct 20, 2007
6610 16.1 166 211 44.0 The Flames are 166-211-33 AGAINST since Jan 13, 2008 on the road
6410 13.3 201 241 45.5 The Flames are 201-241-41 AGAINST since Dec 18, 2007 as a dog
6250 17.5 141 185 43.3 The Flames are 141-185-31 AGAINST since Dec 18, 2007 as a road dog
570 63.3 2 7 22.2 The Flames are 2-7 AGAINST since Dec 14, 2017 at home
570 63.3 2 7 22.2 The Flames are 2-7 AGAINST since Dec 14, 2017 as a home favorite
540 21.6 10 14 41.7 The Flames are 10-14-1 AGAINST since Oct 19, 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
e-mail links:   Content@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).