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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
3201 13.0 0.4 130 115 53.1 The Predators are 130-115 AGAINST since Feb 26, 2015 as a home favorite.
2944 22.3 0.0 66 66 50.0 The Predators are 66-66 AGAINST since Mar 22, 2018 as a favorite.
2846 11.1 0.4 136 118 53.5 The Predators are 136-118 AGAINST since Feb 26, 2015 at home.
2657 19.7 -0.1 58 68 46.0 The Predators are 58-68 AGAINST since Nov 12, 2018.
1656 30.1 0.3 33 22 60.0 The Predators are 33-22 ON since Oct 19, 2017 as a road dog.
1556 27.8 0.2 33 23 58.9 The Predators are 33-23 ON since Oct 19, 2017 as a 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
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Content for this site is generated using the Sports Data Query Language (SDQL).