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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI wins losses % link
5500 6.3 275 379 42.0 The Hurricanes are 275-379 AGAINST since May 18, 2009
3874 7.6 119 209 36.3 The Hurricanes are 119-209 AGAINST since May 18, 2009 on the road
3576 10.7 171 162 51.4 The Hurricanes are 171-162 AGAINST since Dec 31, 2006 as a favorite
2971 10.7 144 134 51.8 The Hurricanes are 144-134 AGAINST since Dec 31, 2006 as a home favorite
1162 32.7 14 20 41.2 The Hurricanes are 14-20 AGAINST since Jan 20, 2017 at home
786 16.0 23 26 46.9 The Hurricanes are 23-26 AGAINST since Mar 28, 2007 as a road favorite
500 82.6 0 5 0.0 The Hurricanes are 0-5 AGAINST since Nov 16, 2017 as a dog
500 82.6 0 5 0.0 The Hurricanes are 0-5 AGAINST since Nov 16, 2017 as a road dog
550 22.0 14 11 56.0 The Hurricanes are 14-11 ON since Nov 22, 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).