Note: This site will be discontinued as of September 1, 2021.
SDQL3 access will continue with user input data at

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 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 Margin wins losses % link
3630 12.5 0.2 121 143 45.8 The Sharks are 121-143-27 AGAINST since Feb 17, 2008 as a road dog.
4090 15.6 0.3 139 112 55.4 The Sharks are 139-112-11 ON since Feb 18, 2018.
3340 22.6 0.4 84 59 58.7 The Sharks are 84-59-5 ON since Dec 07, 2017 at home.
1370 31.1 0.6 27 16 62.8 The Sharks are 27-16-1 ON since Nov 24, 2017 as a road favorite.
680 20.6 0.4 18 13 58.1 The Sharks are 18-13-2 ON since Mar 09, 2017 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).