Winning picks from SDQL masters.
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 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
930 18.4 0.6 21 22 48.8 The Indians are 21-22 AGAINST since Aug 13, 2019.
919 16.7 -1.2 11 25 30.6 The Indians are 11-25 AGAINST since Oct 09, 2017 as a road dog.
795 110.4 -5.6 0 5 0.0 The Indians are 0-5 AGAINST since Sep 25, 2019 on the road.
735 43.7 -2.1 1 9 10.0 The Indians are 1-9 AGAINST since Aug 16, 2019 as a dog.
595 198.3 -6.3 0 3 0.0 The Indians are 0-3 AGAINST since Sep 25, 2019 as a favorite.
595 198.3 -6.3 0 3 0.0 The Indians are 0-3 AGAINST since Sep 25, 2019 as a road favorite.
521 28.9 0.4 11 7 61.1 The Indians are 11-7 ON since Jun 15, 2017 as a home dog.

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).