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 ou on,SDB's sample ou on
$ ROI wins losses % link
2169 18.1 63 38 62.4 The Mets are 63-38-7 ON since Jul 30, 2016
1410 28.2 28 13 68.3 The Mets are 28-13-4 ON since Sep 19, 2016 as a favorite
1396 27.0 29 14 67.4 The Mets are 29-14-3 ON since Aug 15, 2016 on the road
1260 46.6 17 4 81.0 The Mets are 17-4-3 ON since Aug 06, 2016 as a road dog
1195 31.2 22 9 71.0 The Mets are 22-9-3 ON since Jul 23, 2016 as a dog
1135 30.3 21 9 70.0 The Mets are 21-9-4 ON since Sep 19, 2016 at home
935 28.3 18 8 69.2 The Mets are 18-8-4 ON since Sep 19, 2016 as a home favorite
600 84.9 6 0 100.0 The Mets are 6-0 ON since Apr 30, 2017 as a road 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).