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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 wins losses % link
5314 19.3 67 139 32.5 The Mets are 67-139 AGAINST since Sep 10, 2010 as a home dog
3675 9.1 101 174 36.7 The Mets are 101-174 AGAINST since May 01, 2014 as a dog
3204 8.8 138 158 46.6 The Mets are 138-158 AGAINST since May 01, 2016
1878 9.8 43 79 35.2 The Mets are 43-79 AGAINST since Apr 28, 2015 as a road dog
1351 12.4 28 46 37.8 The Mets are 28-46 AGAINST since Apr 14, 2017 on the road
791 17.7 22 10 68.8 The Mets are 22-10 ON since Jun 10, 2017 as a 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
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Content for this site is generated using the Sports Data Query Language (SDQL).