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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 against
$ ROI Margin wins losses % link
3340 10.2 -0.1 147 164 47.3 The Knights are 147-164-16 AGAINST since Dec 12, 2017.
1950 13.4 -0.1 63 75 45.7 The Knights are 63-75-7 AGAINST since Feb 26, 2018 on the road.
1170 17.2 -0.4 29 37 43.9 The Knights are 29-37-2 AGAINST since Dec 14, 2017 as a dog.
710 44.4 -0.5 5 11 31.2 The Knights are 5-11 AGAINST since Dec 05, 2019 as a road dog.
510 23.2 -0.1 7 11 38.9 The Knights are 7-11-4 AGAINST since Apr 30, 2021 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).