Winning picks from SDQL masters.
S p o r t s D a t a b a s e . c o m
agile access to sports data


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
1003 66.9 -0.5 4 11 26.7 The Jets are 4-11 AGAINST since Feb 05, 2019 as a home favorite.
893 55.5 -0.4 5 11 31.2 The Jets are 5-11 AGAINST since Feb 05, 2019 at home.
888 32.9 -0.2 11 16 40.7 The Jets are 11-16 AGAINST since Jan 19, 2019 as a favorite.
712 17.0 -0.3 15 21 41.7 The Jets are 15-21 AGAINST since Feb 05, 2019.

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 for this site is generated using the Sports Data Query Language (SDQL).