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 wins losses % link
1076 32.1 7 19 26.9 The Astros are 7-19 AGAINST since Sep 07, 2016 as a dog
726 32.1 5 13 27.8 The Astros are 5-13 AGAINST since Sep 18, 2016 as a road dog
700 82.1 0 7 0.0 The Astros are 0-7 AGAINST since Aug 03, 2016 as a home dog
1394 33.2 21 4 84.0 The Astros are 21-4 ON since Sep 12, 2017 as a favorite
1230 32.4 17 2 89.5 The Astros are 17-2 ON since Aug 31, 2017 at home
1230 32.4 17 2 89.5 The Astros are 17-2 ON since Aug 31, 2017 as a home favorite
1089 24.3 21 7 75.0 The Astros are 21-7 ON since Sep 14, 2017
564 41.2 8 2 80.0 The Astros are 8-2 ON since Sep 12, 2017 as a road 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@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).