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


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
1006 25.6 -2.2 9 21 30.0 The Astros are 9-21 AGAINST since Sep 07, 2016 as a dog
781 28.8 -2.5 6 15 28.6 The Astros are 6-15 AGAINST since Sep 18, 2016 as a road dog
694 138.8 -0.6 1 4 20.0 The Astros are 1-4 AGAINST since Apr 14, 2018 at home
694 138.8 -0.6 1 4 20.0 The Astros are 1-4 AGAINST since Apr 14, 2018 as a home favorite
575 58.8 -2.9 1 7 12.5 The Astros are 1-7 AGAINST since Aug 03, 2016 as a home dog
1087 27.2 3.0 19 6 76.0 The Astros are 19-6 ON since Sep 12, 2017 as a road favorite
717 15.7 2.3 20 11 64.5 The Astros are 20-11 ON since Sep 14, 2017 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@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).