Winning picks from SDQL masters.
S p o r t s D a t a b a s e . c o m
tools for the objective handicapper


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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
9290 17.1 -0.2 203 269 43.0 The Devils are 203-269-72 AGAINST since Oct 14, 2006 at home.
3570 20.5 -0.2 60 87 40.8 The Devils are 60-87-27 AGAINST since Apr 08, 2007 as a home dog.
2640 25.1 -0.3 33 54 37.9 The Devils are 33-54-18 AGAINST since Oct 18, 2006 as a road favorite.
1200 23.1 -0.3 21 30 41.2 The Devils are 21-30-1 AGAINST since Dec 15, 2018.
1040 25.4 -0.3 16 24 40.0 The Devils are 16-24-1 AGAINST since Dec 15, 2018 as a dog.
1160 16.6 0.4 36 28 56.2 The Devils are 36-28-6 ON since Dec 04, 2015 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
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Content for this site is generated using the Sports Data Query Language (SDQL).