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


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 on,SDB's sample ml against,SDB's sample ml on
$ ROI wins losses % link
5194 18.7 69 140 33.0 The Mets are 69-140 AGAINST since Sep 10, 2010 as a home dog
3630 8.9 104 177 37.0 The Mets are 104-177 AGAINST since May 01, 2014 as a dog
1953 10.0 44 81 35.2 The Mets are 44-81 AGAINST since Apr 28, 2015 as a road dog
1426 12.6 29 48 37.7 The Mets are 29-48 AGAINST since Apr 14, 2017 on the road
891 19.4 23 10 69.7 The Mets are 23-10 ON since Jun 10, 2017 as a favorite

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 for this site is generated using the Sports Data Query Language (SDQL).