Winning Picks, Guaranteed
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 SDB's sample su 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
960 38.4 -0.6 8 16 33.3 The Rangers are 8-16-1 AGAINST since Dec 11, 2017 as a favorite
580 48.3 -0.8 3 8 27.3 The Rangers are 3-8-1 AGAINST since Feb 01, 2018 as a home favorite
4950 17.6 0.4 145 110 56.9 The Rangers are 145-110-27 ON since Dec 11, 2015
3370 18.2 0.5 97 73 57.1 The Rangers are 97-73-15 ON since May 09, 2014 as a dog
3040 7.1 0.1 194 183 51.5 The Rangers are 194-183-49 ON since Apr 26, 2009 at home
2540 11.8 0.3 104 89 53.9 The Rangers are 104-89-23 ON since Apr 29, 2014 on the road
2360 15.9 0.5 76 60 55.9 The Rangers are 76-60-12 ON since May 09, 2014 as a road dog
1870 30.2 0.7 37 22 62.7 The Rangers are 37-22-3 ON since Apr 26, 2009 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).