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 ml against,SDB's sample ml against
$ ROI wins losses % link
2204 7.1 96 140 40.7 The Orioles are 96-140 AGAINST since Apr 20, 2015 on the road
1884 11.3 53 77 40.8 The Orioles are 53-77 AGAINST since May 10, 2017
1876 17.7 21 48 30.4 The Orioles are 21-48 AGAINST since May 10, 2017 as a dog
1573 15.7 45 55 45.0 The Orioles are 45-55 AGAINST since Sep 23, 2012 as a road favorite
1334 16.7 15 35 30.0 The Orioles are 15-35 AGAINST since May 02, 2017 as a road dog
800 17.7 11 22 33.3 The Orioles are 11-22 AGAINST since Aug 16, 2016 as a home 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).