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 ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
200 48.8 -1.6 1 3 25.0 The Padres are 1-3 AGAINST since Jul 31, 2018 as a home dog
180 31.0 -1.8 1 3 25.0 The Padres are 1-3-1 AGAINST since Jun 25, 2016 as a road favorite
100 83.3 -0.5 0 1 0.0 The Padres are 0-1 AGAINST since Jun 30, 2018 as a home favorite
100 83.3 -0.5 0 1 0.0 The Padres are 0-1 AGAINST since Jun 30, 2018 as a favorite
100 32.3 -1.2 1 2 33.3 The Padres are 1-2 AGAINST since Aug 10, 2018 as a dog
1078 16.5 1.2 35 22 61.4 The Padres are 35-22-2 ON since Mar 30, 2018 at home
915 32.6 1.5 17 7 70.8 The Padres are 17-7-1 ON since Jul 13, 2018
815 31.6 1.6 16 7 69.6 The Padres are 16-7 ON since Jul 13, 2018 as a dog
685 14.4 0.7 25 17 59.5 The Padres are 25-17-1 ON since Aug 05, 2016 as a home favorite
685 47.4 2.6 10 3 76.9 The Padres are 10-3 ON since Apr 14, 2018 as a 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).