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
2310 50.2 -0.9 11 31 26.2 The Penguins are 11-31-4 AGAINST since Oct 05, 2006 as a home dog.
870 17.8 -0.2 21 27 43.8 The Penguins are 21-27-1 AGAINST since Mar 02, 2019 on the road.
570 57.0 -1.4 2 7 22.2 The Penguins are 2-7-1 AGAINST since Jan 17, 2020 as a road favorite.
840 38.2 0.7 14 7 66.7 The Penguins are 14-7-1 ON since Dec 14, 2019 as a home favorite.
840 38.2 0.7 14 7 66.7 The Penguins are 14-7-1 ON since Dec 14, 2019 at home.
820 13.4 0.1 32 27 54.2 The Penguins are 32-27-2 ON since Nov 16, 2019.
580 17.1 0.1 18 14 56.2 The Penguins are 18-14-2 ON since Dec 14, 2019 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).