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 ml against,SDB's sample ml against
$ ROI Margin wins losses % link
4120 6.3 -0.2 230 286 44.6 The Red Wings are 230-286 AGAINST since Feb 21, 2012
3915 14.0 0.0 119 137 46.5 The Red Wings are 119-137 AGAINST since Feb 23, 2012 at home
1479 8.7 -0.8 35 68 34.0 The Red Wings are 35-68 AGAINST since Feb 03, 2016 on the road
1365 6.2 -0.7 49 89 35.5 The Red Wings are 49-89 AGAINST since Jan 11, 2016 as a dog
1215 7.6 -0.9 31 62 33.3 The Red Wings are 31-62 AGAINST since Feb 03, 2016 as a road dog
541 16.1 -0.6 8 17 32.0 The Red Wings are 8-17 AGAINST since Mar 12, 2017 as a home dog

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).