Information you need to win
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 against
$ ROI wins losses % link
813 58.0 4 10 28.6 The Tigers are 4-10 AGAINST since Apr 13, 2017 as a favorite
686 76.2 2 7 22.2 The Tigers are 2-7 AGAINST since Oct 01, 2016 as a road favorite
642 14.3 15 22 40.5 The Tigers are 15-22 AGAINST since Apr 18, 2017
568 15.4 11 18 37.9 The Tigers are 11-18 AGAINST since Oct 01, 2016 on the road

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).