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 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
630 28.6 8 13 38.1 The Hurricanes are 8-13-1 AGAINST since Jan 26, 2017 as a home favorite
610 32.1 6 11 35.3 The Hurricanes are 6-11-2 AGAINST since Mar 27, 2012 as a road favorite
1330 13.9 43 34 55.8 The Hurricanes are 43-34-19 ON since Nov 22, 2015 as a dog
1030 51.5 13 4 76.5 The Hurricanes are 13-4-3 ON since Jan 23, 2017 as a road dog
740 29.6 14 8 63.6 The Hurricanes are 14-8-3 ON since Jan 23, 2017 on the road
710 11.5 31 27 53.4 The Hurricanes are 31-27-4 ON since Jan 05, 2017
500 31.2 10 6 62.5 The Hurricanes are 10-6 ON since Feb 13, 2016 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).