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
660 36.5 -1.3 4 11 26.7 The Rays are 4-11-1 AGAINST since Jul 21, 2017 as a home dog
480 53.8 -2.9 1 6 14.3 The Rays are 1-6-1 AGAINST since Apr 30, 2018 as a favorite
380 50.2 -2.5 1 5 16.7 The Rays are 1-5-1 AGAINST since Apr 11, 2018 as a road favorite
300 85.7 -4.2 0 3 0.0 The Rays are 0-3 AGAINST since May 06, 2018 at home
200 85.1 -5.8 0 2 0.0 The Rays are 0-2 AGAINST since May 06, 2018 as a home favorite
2104 14.9 1.0 74 49 60.2 The Rays are 74-49-5 ON since Sep 26, 2015 as a road dog
672 35.9 2.0 11 4 73.3 The Rays are 11-4-2 ON since Apr 03, 2018 as a 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).