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 on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
1941 19.0 -0.5 34 56 37.8 The Rays are 34-56-3 AGAINST since Jul 22, 2016 as a road favorite.
1672 32.4 -0.9 14 32 30.4 The Rays are 14-32-1 AGAINST since May 20, 2018 as a road dog.
200 88.9 -2.2 0 2 0.0 The Rays are 0-2 AGAINST since Jul 18, 2019 on the road.
170 19.1 -0.3 3 5 37.5 The Rays are 3-5 AGAINST since Jul 06, 2019 as a favorite.
100 87.0 -1.5 0 1 0.0 The Rays are 0-1 AGAINST since Jul 18, 2019 as a dog.
500 93.5 2.2 5 0 100.0 The Rays are 5-0 ON since Apr 19, 2019 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).