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
1444 17.7 21 42 33.3 The Jets are 21-42 AGAINST since Dec 15, 2011 as a home dog
724 38.0 7 12 36.8 The Jets are 7-12 AGAINST since Dec 11, 2014 as a road favorite
951 70.3 10 2 83.3 The Jets are 10-2 ON since Mar 16, 2017
884 40.2 13 9 59.1 The Jets are 13-9 ON since Dec 03, 2016 as a road dog
704 27.1 14 12 53.8 The Jets are 14-12 ON since Dec 03, 2016 as a dog
620 84.0 6 0 100.0 The Jets are 6-0 ON since Mar 19, 2017 at home
601 24.8 13 10 56.5 The Jets are 13-10 ON since Dec 22, 2016 on the road
500 77.2 5 0 100.0 The Jets are 5-0 ON since Mar 21, 2017 as a favorite

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).