Winning picks from SDQL masters.
S p o r t s D a t a b a s e . c o m
agile access to sports data


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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
1981 13.2 -1.4 26 61 29.9 The Twins are 26-61 AGAINST since Jun 26, 2017 as a road dog
2173 14.0 1.0 71 43 62.3 The Twins are 71-43 ON since Aug 06, 2017 at home
1801 4.9 0.9 161 110 59.4 The Twins are 161-110 ON since Sep 08, 2012 as a favorite
1347 27.9 1.5 25 13 65.8 The Twins are 25-13 ON since Sep 11, 2018
1133 28.2 0.4 23 17 57.5 The Twins are 23-17 ON since Jul 07, 2017 as a home dog
1093 19.1 1.4 26 10 72.2 The Twins are 26-10 ON since Jun 24, 2018 as a home favorite
899 44.2 1.8 12 5 70.6 The Twins are 12-5 ON since Sep 16, 2018 on the road
800 70.8 3.2 8 0 100.0 The Twins are 8-0 ON since Sep 17, 2018 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).