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 wins losses % link
3460 16.9 82 106 43.6 The Hurricanes are 82-106-17 AGAINST since Nov 26, 2008 as a home favorite
3320 13.7 101 122 45.3 The Hurricanes are 101-122-19 AGAINST since Nov 14, 2008 as a favorite
840 38.2 7 14 33.3 The Hurricanes are 7-14-1 AGAINST since Jan 26, 2017 at home
600 35.3 5 10 33.3 The Hurricanes are 5-10-2 AGAINST since Mar 27, 2012 as a road favorite
1100 12.0 40 33 54.8 The Hurricanes are 40-33-19 ON since Nov 22, 2015 as a dog
800 50.0 10 3 76.9 The Hurricanes are 10-3-3 ON since Jan 23, 2017 as a road dog
500 31.2 10 6 62.5 The Hurricanes are 10-6 ON since Feb 13, 2016 as a home dog
500 26.3 10 6 62.5 The Hurricanes are 10-6-3 ON since Jan 23, 2017 on the road

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).