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


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 against
$ ROI wins losses % link
8050 10.9 310 355 46.6 The Sharks are 310-355-72 AGAINST since Oct 07, 2006 as a favorite
4820 9.8 207 232 47.2 The Sharks are 207-232-52 AGAINST since Oct 07, 2006 at home
4430 9.3 201 223 47.4 The Sharks are 201-223-51 AGAINST since Oct 07, 2006 as a home favorite
3620 13.8 109 132 45.2 The Sharks are 109-132-21 AGAINST since Oct 23, 2006 as a road favorite
580 48.3 3 8 27.3 The Sharks are 3-8-1 AGAINST since Oct 09, 2010 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 for this site is generated using the Sports Data Query Language (SDQL).