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 SDB's sample su 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
987 17.3 -1.7 15 28 34.9 The Mariners are 15-28 AGAINST since Apr 11, 2017 as a home dog
917 40.9 -2.3 2 12 14.3 The Mariners are 2-12 AGAINST since Jun 14, 2018 as a dog
817 37.2 -2.2 2 11 15.4 The Mariners are 2-11 AGAINST since Jun 06, 2018 as a road dog
575 50.1 -3.0 2 7 22.2 The Mariners are 2-7 AGAINST since Jul 06, 2018
4374 16.8 1.0 131 69 65.5 The Mariners are 131-69 ON since Apr 11, 2009 as a road favorite
3218 13.6 1.1 111 55 66.9 The Mariners are 111-55 ON since Jun 30, 2016 as a favorite
1181 27.0 0.7 22 7 75.9 The Mariners are 22-7 ON since May 18, 2018 at home
1060 18.5 1.0 27 10 73.0 The Mariners are 27-10 ON since Aug 15, 2017 as a home favorite

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).