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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI wins losses % link
2197 9.6 95 105 47.5 The Canucks are 95-105 AGAINST since Apr 11, 2012 at home
1302 16.3 12 34 26.1 The Canucks are 12-34 AGAINST since Jan 07, 2017
1239 47.9 2 15 11.8 The Canucks are 2-15 AGAINST since Feb 02, 2017 as a home dog
1120 6.4 31 67 31.6 The Canucks are 31-67 AGAINST since Feb 15, 2016 as a dog
692 62.0 3 8 27.3 The Canucks are 3-8 AGAINST since Feb 26, 2015 as a road favorite
595 59.5 5 5 50.0 The Canucks are 5-5 ON since Mar 04, 2017 as a road 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).