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 on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
3137 10.3 -1.3 83 139 37.4 The Reds are 83-139 AGAINST since Jun 08, 2010 as a home dog
2380 8.0 -0.7 97 135 41.8 The Reds are 97-135 AGAINST since Jun 30, 2015 at home
776 14.9 -0.4 24 28 46.2 The Reds are 24-28 AGAINST since Aug 16, 2013 as a road favorite
756 94.5 1.9 6 2 75.0 The Reds are 6-2 ON since Apr 29, 2018 on the road
756 94.5 1.9 6 2 75.0 The Reds are 6-2 ON since Apr 29, 2018 as a road dog
751 60.1 -0.1 8 4 66.7 The Reds are 8-4 ON since May 08, 2018
551 55.1 -0.7 6 4 60.0 The Reds are 6-4 ON since May 10, 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).