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 on,SDB's sample ou on
$ ROI Margin wins losses % link
3970 9.8 0.3 187 166 53.0 The Panthers are 187-166-52 ON since Nov 08, 2014.
3280 13.4 0.4 118 97 54.9 The Panthers are 118-97-30 ON since Jan 20, 2014 as a dog.
2800 10.1 0.3 130 115 53.1 The Panthers are 130-115-33 ON since Dec 22, 2010 as a road dog.
2640 7.8 0.2 154 143 51.9 The Panthers are 154-143-42 ON since Dec 22, 2010 on the road.
2170 10.6 0.4 97 85 53.3 The Panthers are 97-85-22 ON since Nov 08, 2014 at home.
1830 8.0 0.3 103 95 52.0 The Panthers are 103-95-31 ON since Mar 19, 2011 as a favorite.
870 29.0 0.4 17 10 63.0 The Panthers are 17-10-3 ON since Mar 10, 2018 as a home favorite.
680 68.0 1.1 8 2 80.0 The Panthers are 8-2 ON since Oct 23, 2018 as a road 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).