A crowd-sourced stats provider. 		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
273 22.4 -0.1 4 7 36.4 The Mariners are 4-7 AGAINST since Sep 05, 2018 as a favorite
273 19.0 -0.2 5 8 38.5 The Mariners are 5-8 AGAINST since Sep 05, 2018 at home
250 17.1 0.2 5 8 38.5 The Mariners are 5-8 AGAINST since Jun 25, 2018 as a road favorite
200 87.0 -2.8 0 2 0.0 The Mariners are 0-2 AGAINST since Sep 08, 2018 as a home dog
200 87.0 -3.8 0 2 0.0 The Mariners are 0-2 AGAINST since Sep 29, 2018
200 87.0 -3.8 0 2 0.0 The Mariners are 0-2 AGAINST since Sep 29, 2018 as a home favorite
190 29.2 -1.0 2 4 33.3 The Mariners are 2-4 AGAINST since Sep 16, 2018 on the road
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).