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
2260 7.3 0.1 138 146 48.6 The Jets are 138-146-24 AGAINST since Mar 05, 2013 on the road.
2140 7.0 0.0 137 144 48.8 The Jets are 137-144-23 AGAINST since Feb 01, 2013 as a dog.
2140 8.4 0.0 115 124 48.1 The Jets are 115-124-16 AGAINST since Oct 26, 2017.
1560 6.9 0.2 101 106 48.8 The Jets are 101-106-19 AGAINST since Oct 09, 2015 as a favorite.
1410 14.4 -0.1 42 51 45.2 The Jets are 42-51-5 AGAINST since Mar 20, 2018 at home.
500 29.4 -1.1 6 10 37.5 The Jets are 6-10-1 AGAINST since Dec 04, 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).