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
1077 17.7 -1.7 16 30 34.8 The Mariners are 16-30 AGAINST since Apr 11, 2017 as a home dog
708 47.2 -1.7 6 9 40.0 The Mariners are 6-9 AGAINST since Jul 06, 2018 as a favorite
658 41.3 -1.4 6 9 40.0 The Mariners are 6-9 AGAINST since Jul 06, 2018 at home
568 47.3 -1.2 5 7 41.7 The Mariners are 5-7 AGAINST since Jul 06, 2018 as a home favorite
4214 16.0 0.9 132 71 65.0 The Mariners are 132-71 ON since Apr 11, 2009 as a road favorite
680 113.3 1.5 5 1 83.3 The Mariners are 5-1 ON since Jul 29, 2018 as a road dog
580 64.4 0.3 6 3 66.7 The Mariners are 6-3 ON since Jul 29, 2018 as a dog
575 115.0 1.2 4 1 80.0 The Mariners are 4-1 ON since Aug 09, 2018 on the road
575 115.0 1.2 4 1 80.0 The Mariners are 4-1 ON since Aug 09, 2018

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).