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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
1336 22.3 -0.5 23 32 41.8 The Angels are 23-32 AGAINST since Aug 05, 2017 at home
700 19.9 -1.0 12 18 40.0 The Angels are 12-18 AGAINST since Apr 17, 2018
699 38.2 -2.2 3 11 21.4 The Angels are 3-11 AGAINST since Aug 27, 2017 as a home dog
620 103.3 -2.5 1 5 16.7 The Angels are 1-5 AGAINST since May 11, 2018 as a home favorite
620 103.3 -2.5 1 5 16.7 The Angels are 1-5 AGAINST since May 11, 2018 as a favorite
3779 6.5 1.1 264 170 60.8 The Angels are 264-170 ON since Jul 07, 2004 as a road favorite
2158 17.0 0.5 62 55 53.0 The Angels are 62-55 ON since Aug 24, 2016 on the road
1647 35.8 0.1 25 21 54.3 The Angels are 25-21 ON since Jun 06, 2017 as a road dog

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).