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 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
2303 15.5 -0.2 52 79 39.7 The Rays are 52-79-5 AGAINST since Jul 22, 2016 as a road favorite.
1045 50.4 -1.4 4 15 21.1 The Rays are 4-15 AGAINST since Sep 01, 2020 on the road.
835 15.4 -0.4 20 30 40.0 The Rays are 20-30 AGAINST since Aug 25, 2020.
765 35.9 -0.9 6 14 30.0 The Rays are 6-14 AGAINST since Sep 15, 2020 as a favorite.
350 23.1 -0.9 5 9 35.7 The Rays are 5-9 AGAINST since Jul 30, 2020 as a road dog.
200 95.2 -3.0 0 2 0.0 The Rays are 0-2 AGAINST since Oct 25, 2020 as a dog.
190 43.2 -1.6 1 3 25.0 The Rays are 1-3 AGAINST since Oct 11, 2020 as a home favorite.
180 20.5 -0.7 3 5 37.5 The Rays are 3-5 AGAINST since Oct 09, 2020 at home.
100 90.9 -2.0 0 1 0.0 The Rays are 0-1 AGAINST since Oct 25, 2020 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).