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
9280 18.7 -0.2 180 248 42.1 The Devils are 180-248-67 AGAINST since Oct 14, 2006 as a favorite.
3400 30.4 -0.4 32 60 34.8 The Devils are 32-60-20 AGAINST since Oct 18, 2006 as a road favorite.
880 97.8 -1.7 0 8 0.0 The Devils are 0-8-1 AGAINST since Nov 13, 2019 as a home favorite.
850 18.9 -0.3 19 25 43.2 The Devils are 19-25-1 AGAINST since Mar 02, 2019 on the road.
630 14.7 -0.2 19 23 45.2 The Devils are 19-23-1 AGAINST since Mar 02, 2019 as a road dog.
620 32.6 -0.5 7 12 36.8 The Devils are 7-12 AGAINST since Feb 01, 2020.
930 51.7 1.1 13 5 72.2 The Devils are 13-5 ON since Oct 30, 2019 as a home dog.
800 22.9 0.3 20 14 58.8 The Devils are 20-14-1 ON since Apr 01, 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).