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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 Margin wins losses % link
1180 48.2 -1.5 5 17 22.7 The Cubs are 5-17 AGAINST since Sep 23, 2014 as a home dog
780 14.6 0.5 20 29 40.8 The Cubs are 20-29 AGAINST since Oct 01, 2017 at home
625 17.4 0.2 13 20 39.4 The Cubs are 13-20 AGAINST since Apr 26, 2018 as a home favorite
165 19.1 -0.5 3 5 37.5 The Cubs are 3-5 AGAINST since Jun 13, 2018 as a dog
100 87.0 -5.0 0 1 0.0 The Cubs are 0-1 AGAINST since Jul 09, 2018 as a road dog
830 35.3 2.6 15 6 71.4 The Cubs are 15-6 ON since Jun 22, 2018
675 47.3 1.8 10 3 76.9 The Cubs are 10-3 ON since Jun 22, 2018 on the road
645 37.9 2.9 11 4 73.3 The Cubs are 11-4 ON since Jun 22, 2018 as a favorite
575 43.8 1.5 9 3 75.0 The Cubs are 9-3 ON since Jun 11, 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
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Content for this site is generated using the Sports Data Query Language (SDQL).