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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 Margin wins losses % link
1066 24.3 -1.9 10 23 30.3 The Astros are 10-23 AGAINST since Sep 07, 2016 as a dog
741 24.3 -2.0 7 16 30.4 The Astros are 7-16 AGAINST since Sep 18, 2016 as a road dog
677 28.2 0.9 14 10 58.3 The Astros are 14-10 AGAINST since Jun 02, 2018 at home
677 28.2 0.9 14 10 58.3 The Astros are 14-10 AGAINST since Jun 02, 2018 as a home favorite
675 61.2 -3.0 1 8 11.1 The Astros are 1-8 AGAINST since Aug 03, 2016 as a home dog
610 87.1 -0.0 3 4 42.9 The Astros are 3-4 AGAINST since Jul 09, 2018
610 87.1 -0.0 3 4 42.9 The Astros are 3-4 AGAINST since Jul 09, 2018 as a favorite
3666 19.8 2.1 88 36 71.0 The Astros are 88-36 ON since Aug 09, 2016 as a road favorite
3626 13.9 1.4 122 72 62.9 The Astros are 122-72 ON since May 28, 2016 on the road

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).