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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 ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI wins losses % link
1200 18.9 21 34 38.2 The Cubs are 21-34-4 AGAINST since May 20, 2015 as a dog
985 54.6 3 13 18.8 The Cubs are 3-13 AGAINST since Sep 23, 2014 as a home dog
705 72.5 1 8 11.1 The Cubs are 1-8 AGAINST since Aug 27, 2016 as a road dog
500 65.8 1 6 14.3 The Cubs are 1-6 AGAINST since May 09, 2017 on the road
2436 25.1 55 28 66.3 The Cubs are 55-28-4 ON since Apr 21, 2016 as a road favorite
2048 30.1 41 19 68.3 The Cubs are 41-19-2 ON since Sep 26, 2016 as a favorite
1170 56.7 15 3 83.3 The Cubs are 15-3-1 ON since Apr 17, 2017 at home
1170 56.7 15 3 83.3 The Cubs are 15-3-1 ON since Apr 17, 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
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Content for this site is generated using the Sports Data Query Language (SDQL).