Information you need to win
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 SDB's sample su active on filter on
Trends from SDB's sample ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
4210 8.5 0.1 212 231 47.9 The Bruins are 212-231-55 AGAINST since Mar 04, 2007 on the road
2180 23.7 -0.1 31 48 39.2 The Bruins are 31-48-13 AGAINST since Apr 10, 2014 as a road favorite
1020 53.7 1.7 12 3 80.0 The Bruins are 12-3-4 ON since Feb 10, 2018 as a home favorite
1020 53.7 1.7 12 3 80.0 The Bruins are 12-3-4 ON since Feb 10, 2018 at home
770 24.1 0.9 17 11 60.7 The Bruins are 17-11-4 ON since Feb 07, 2018 as a favorite
680 68.0 1.6 8 2 80.0 The Bruins are 8-2 ON since Mar 08, 2015 as a home dog
610 14.2 0.5 21 17 55.3 The Bruins are 21-17-5 ON since Feb 07, 2018

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).