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
3910 4.4 424 421 50.2 The Maple Leafs are 424-421-47 AGAINST since Dec 22, 2006
1370 15.1 38 47 44.7 The Maple Leafs are 38-47-6 AGAINST since Dec 09, 2014 as a favorite
1350 15.2 36 45 44.4 The Maple Leafs are 36-45-8 AGAINST since Jan 13, 2016 at home
1280 17.8 29 38 43.3 The Maple Leafs are 29-38-5 AGAINST since Dec 09, 2014 as a home favorite
670 21.6 12 17 41.4 The Maple Leafs are 12-17-2 AGAINST since Feb 19, 2017 as a dog
1150 13.1 45 38 54.2 The Maple Leafs are 45-38-5 ON since Jan 09, 2016 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).