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 on,SDB's sample ml on
$ ROI Margin wins losses % link
1220 87.8 0.9 10 3 76.9 The Kings are 10-3 ON since Feb 12, 2020.
1138 27.1 0.2 23 16 59.0 The Kings are 23-16 ON since Mar 21, 2019 at home.
1020 92.7 0.9 8 3 72.7 The Kings are 8-3 ON since Feb 12, 2020 as a dog.
708 25.3 0.2 15 13 53.6 The Kings are 15-13 ON since Mar 21, 2019 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
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Content for this site is generated using the Sports Data Query Language (SDQL).