Winning Picks, Guaranteed
S p o r t s D a t a b a s e . c o m
tools    for    the    objective    handicapper


name
password


MLB Trends SDB Home    MLB Trends    MLB 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 guest's web all 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
400 61.1 -0.5 1 5 16.7 The White Sox are 1-5 AGAINST since May 13, 2018 as a dog
400 61.1 -0.5 1 5 16.7 The White Sox are 1-5 AGAINST since May 13, 2018
390 45.9 -0.6 2 6 25.0 The White Sox are 2-6 AGAINST since Apr 29, 2018 as a road dog
390 45.9 -0.6 2 6 25.0 The White Sox are 2-6 AGAINST since Apr 29, 2018 on the road
200 87.0 -4.0 0 2 0.0 The White Sox are 0-2 AGAINST since Apr 07, 2018 as a home favorite
200 87.0 -4.0 0 2 0.0 The White Sox are 0-2 AGAINST since Apr 07, 2018 as a favorite
100 95.2 -1.5 0 1 0.0 The White Sox are 0-1 AGAINST since May 19, 2018 as a home dog
100 95.2 -1.5 0 1 0.0 The White Sox are 0-1 AGAINST since May 19, 2018 at home
100 83.3 -1.0 0 1 0.0 The White Sox are 0-1 AGAINST since Jun 22, 2017 as a road favorite
805 21.9 1.4 21 12 63.6 The White Sox are 21-12-1 ON since Jul 25, 2015 as a road favorite
705 22.5 0.8 17 9 65.4 The White Sox are 17-9-2 ON since Sep 07, 2017 as a home dog
695 19.5 0.7 19 11 63.3 The White Sox are 19-11-2 ON since Sep 07, 2017 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).