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
900 16.4 24 30 44.4 The Jets are 24-30-1 AGAINST since Nov 07, 2015 as a home favorite
4560 11.1 206 181 53.2 The Jets are 206-181-24 ON since Feb 11, 2012
3440 19.8 94 69 57.7 The Jets are 94-69-11 ON since Apr 11, 2013 at home
2680 11.2 118 103 53.4 The Jets are 118-103-18 ON since Feb 11, 2012 as a dog
1800 35.3 30 15 66.7 The Jets are 30-15-6 ON since Oct 18, 2013 as a home dog
1700 14.5 60 49 55.0 The Jets are 60-49-8 ON since Nov 16, 2014 on the road
1380 14.7 48 39 55.2 The Jets are 48-39-7 ON since Nov 16, 2014 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).