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 against
$ ROI wins losses % link
9800 10.0 419 470 47.1 The Ducks are 419-470-93 AGAINST since Nov 21, 2006
4280 7.7 241 258 48.3 The Ducks are 241-258-57 AGAINST since Dec 18, 2006 as a favorite
3620 14.3 98 122 44.5 The Ducks are 98-122-34 AGAINST since Jan 21, 2012 at home
3620 15.8 87 112 43.7 The Ducks are 87-112-30 AGAINST since Jan 21, 2012 as a home favorite
600 40.0 5 10 33.3 The Ducks are 5-10 AGAINST since Oct 28, 2017 as a dog
500 25.0 6 10 37.5 The Ducks are 6-10-4 AGAINST since Mar 28, 2016 as a road 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).