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 against
$ ROI Margin wins losses % link
4641 11.7 -0.8 78 168 31.7 The Maple Leafs are 78-168 AGAINST since Dec 09, 2011 as a road dog.
2374 16.4 0.1 67 69 49.3 The Maple Leafs are 67-69 AGAINST since Dec 06, 2018.
1563 24.6 0.1 31 32 49.2 The Maple Leafs are 31-32 AGAINST since Dec 29, 2018 at home.
1423 14.2 0.3 54 46 54.0 The Maple Leafs are 54-46 AGAINST since Dec 29, 2018 as a favorite.
1263 21.0 0.2 31 29 51.7 The Maple Leafs are 31-29 AGAINST since Dec 29, 2018 as a home favorite.
920 12.6 -0.7 19 35 35.2 The Maple Leafs are 19-35 AGAINST since Dec 12, 2017 as a dog.
540 40.3 -0.8 4 8 33.3 The Maple Leafs are 4-8 AGAINST since Feb 05, 2020 on the road.
528 47.4 -0.6 4 7 36.4 The Maple Leafs are 4-7 AGAINST since Jan 12, 2020 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).