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 against
$ ROI Margin wins losses % link
10400 9.1 0.1 523 570 47.8 The Blue Jackets are 523-570-55 AGAINST since Oct 06, 2006.
7580 13.8 0.1 241 288 45.6 The Blue Jackets are 241-288-22 AGAINST since Dec 31, 2006 at home.
5300 13.0 0.0 178 210 45.9 The Blue Jackets are 178-210-20 AGAINST since Feb 18, 2007 as a favorite.
4530 13.6 0.0 145 173 45.6 The Blue Jackets are 145-173-14 AGAINST since Feb 18, 2007 as a home favorite.
1780 27.4 -0.6 24 38 38.7 The Blue Jackets are 24-38-3 AGAINST since Nov 01, 2018 as a dog.
1280 17.8 -0.5 29 38 43.3 The Blue Jackets are 29-38-5 AGAINST since Nov 01, 2018 on the road.
1280 26.1 -0.6 18 28 39.1 The Blue Jackets are 18-28-3 AGAINST since Nov 01, 2018 as a road dog.
1070 22.3 0.1 19 27 41.3 The Blue Jackets are 19-27-2 AGAINST since Oct 20, 2015 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).