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
338 17.4 -0.2 7 11 38.9 The Padres are 7-11 AGAINST since Jul 31, 2018 as a home dog
185 40.9 -1.1 1 3 25.0 The Padres are 1-3 AGAINST since Sep 26, 2018
185 40.9 -1.1 1 3 25.0 The Padres are 1-3 AGAINST since Sep 26, 2018 as a 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 85.5 -0.5 0 1 0.0 The Padres are 0-1 AGAINST since Sep 30, 2018 at home
100 83.3 -3.0 0 1 0.0 The Padres are 0-1 AGAINST since Sep 26, 2018 on the road
100 83.3 -3.0 0 1 0.0 The Padres are 0-1 AGAINST since Sep 26, 2018 as a road dog
730 13.2 0.6 29 20 59.2 The Padres are 29-20-1 ON since Aug 05, 2016 as a home favorite
730 32.6 1.7 14 6 70.0 The Padres are 14-6 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).