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


name
password

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
1363 67.8 -1.6 5 15 25.0 The Blackhawks are 5-15 AGAINST since Mar 10, 2017 as a road favorite.
1115 31.3 -1.1 4 17 19.0 The Blackhawks are 4-17 AGAINST since Feb 04, 2020 on the road.
945 27.3 -1.1 4 16 20.0 The Blackhawks are 4-16 AGAINST since Feb 04, 2020 as a road dog.
711 35.8 -1.6 1 9 10.0 The Blackhawks are 1-9 AGAINST since Aug 11, 2020 as a dog.
511 23.4 -0.8 3 9 25.0 The Blackhawks are 3-9 AGAINST since Aug 11, 2020.
886 17.6 1.0 25 12 67.6 The Blackhawks are 25-12 ON since Oct 23, 2018 as a home favorite.
805 60.6 1.6 9 2 81.8 The Blackhawks are 9-2 ON since Feb 21, 2020 at home.
635 13.3 0.9 23 12 65.7 The Blackhawks are 23-12 ON since Feb 07, 2019 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
e-mail links:   Content@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).