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 active on filter on
Trends from SDB's sample ou against,SDB's sample ou against
$ ROI Margin wins losses % link
12080 12.3 0.0 416 488 46.0 The Coyotes are 416-488-75 AGAINST since Apr 05, 2007
9430 12.7 0.0 316 373 45.9 The Coyotes are 316-373-54 AGAINST since Nov 22, 2006 as a dog
8180 15.8 -0.0 213 268 44.3 The Coyotes are 213-268-37 AGAINST since Nov 24, 2006 on the road
7470 15.6 -0.0 197 247 44.4 The Coyotes are 197-247-34 AGAINST since Nov 24, 2006 as a road dog
4650 10.1 0.1 201 225 47.2 The Coyotes are 201-225-36 AGAINST since Feb 19, 2008 at home
3000 17.2 -0.2 69 90 43.4 The Coyotes are 69-90-15 AGAINST since Feb 05, 2011 as a favorite
2440 34.9 -0.5 24 44 35.3 The Coyotes are 24-44-2 AGAINST since Jan 16, 2014 as a home favorite
740 29.6 -0.4 8 14 36.4 The Coyotes are 8-14-3 AGAINST since Mar 17, 2011 as a road favorite
560 70.0 -1.4 1 6 14.3 The Coyotes are 1-6-1 AGAINST since Jan 18, 2019 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).