Winning picks from SDQL masters.
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 on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
5990 13.5 0.0 192 229 45.6 The Senators are 192-229-24 AGAINST since Nov 18, 2006 as a favorite.
1370 15.4 -0.1 38 47 44.7 The Senators are 38-47-4 AGAINST since Apr 15, 2007 as a road favorite.
7590 11.9 0.4 319 275 53.7 The Senators are 319-275-46 ON since Dec 12, 2008 as a dog.
6220 6.4 0.2 462 446 50.9 The Senators are 462-446-61 ON since Nov 29, 2008.
5800 13.4 0.4 220 184 54.5 The Senators are 220-184-28 ON since Dec 12, 2008 as a road dog.
5690 11.5 0.3 249 217 53.4 The Senators are 249-217-28 ON since Nov 29, 2008 on the road.
2120 12.6 0.3 82 69 54.3 The Senators are 82-69-17 ON since Apr 02, 2011 as a home dog.
580 48.3 0.6 8 3 72.7 The Senators are 8-3-1 ON since Dec 09, 2019 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).