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 on,SDB's sample ou on
$ ROI Margin wins losses % link
6580 8.1 0.4 398 372 51.7 The Maple Leafs are 398-372-40 ON since Mar 22, 2008
2280 13.2 0.5 88 74 54.3 The Maple Leafs are 88-74-11 ON since Feb 27, 2013 as a favorite
2090 19.0 0.5 59 44 57.3 The Maple Leafs are 59-44-7 ON since Mar 05, 2011 as a home dog
1450 13.6 0.5 55 46 54.5 The Maple Leafs are 55-46-6 ON since Jan 09, 2016 on the road
1410 11.1 0.4 61 53 53.5 The Maple Leafs are 61-53-13 ON since Nov 14, 2015 as a dog
770 14.5 0.5 27 22 55.1 The Maple Leafs are 27-22-4 ON since Nov 24, 2006 as a road favorite
720 37.9 0.6 12 6 66.7 The Maple Leafs are 12-6-1 ON since Feb 05, 2018 at home

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).