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 ou against,SDB's sample ou against
$ ROI Margin wins losses % link
2263 10.3 0.1 79 108 42.2 The Phillies are 79-108-12 AGAINST since Jun 08, 2017
1618 7.1 0.2 85 108 44.0 The Phillies are 85-108-15 AGAINST since Apr 11, 2016 at home
1565 22.9 -0.4 21 39 35.0 The Phillies are 21-39-2 AGAINST since Sep 17, 2012 as a road favorite
1325 10.3 0.1 45 62 42.1 The Phillies are 45-62-9 AGAINST since Jun 08, 2017 as a dog
1170 12.8 0.5 29 43 40.3 The Phillies are 29-43-11 AGAINST since Jun 18, 2016 as a home dog
1165 10.8 0.0 39 54 41.9 The Phillies are 39-54-5 AGAINST since Jun 08, 2017 on the road
570 36.8 -0.6 4 10 28.6 The Phillies are 4-10 AGAINST since May 31, 2018 as a road dog
495 39.3 0.5 3 8 27.3 The Phillies are 3-8-1 AGAINST since Jun 20, 2018 as a favorite
295 54.3 1.2 1 4 20.0 The Phillies are 1-4 AGAINST since Jun 20, 2018 as a home 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).