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 ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
1910 11.9 -0.2 55 80 40.7 The Mets are 55-80-8 AGAINST since Sep 19, 2013 as a home dog.
652 24.8 -1.1 8 15 34.8 The Mets are 8-15-1 AGAINST since May 18, 2019 as a road favorite.
200 44.9 -1.2 1 3 25.0 The Mets are 1-3 AGAINST since Sep 26, 2019 as a home favorite.
200 44.9 -1.2 1 3 25.0 The Mets are 1-3 AGAINST since Sep 26, 2019 at home.
200 44.9 -1.2 1 3 25.0 The Mets are 1-3 AGAINST since Sep 26, 2019 as a favorite.
200 44.9 -1.2 1 3 25.0 The Mets are 1-3 AGAINST since Sep 26, 2019.
190 28.9 -2.0 2 4 33.3 The Mets are 2-4 AGAINST since Sep 16, 2019 on the road.
100 87.0 -3.0 0 1 0.0 The Mets are 0-1 AGAINST since Sep 15, 2019 as a dog.
4618 8.5 1.2 262 198 57.0 The Mets are 262-198-34 ON since May 12, 2011 as a road 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).