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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 against
$ ROI wins losses % link
3869 4.6 233 356 39.6 The Tigers are 233-356 AGAINST since May 05, 2008 as a dog
2984 7.7 177 176 50.1 The Tigers are 177-176 AGAINST since Aug 16, 2013 at home
2961 14.3 56 94 37.3 The Tigers are 56-94 AGAINST since Apr 18, 2017
2777 20.2 33 69 32.4 The Tigers are 33-69 AGAINST since Jul 30, 2011 as a home dog
1433 79.0 3 15 16.7 The Tigers are 3-15 AGAINST since Oct 01, 2016 as a road favorite
1421 27.7 21 30 41.2 The Tigers are 21-30 AGAINST since Apr 13, 2017 as a favorite
950 20.7 6 19 24.0 The Tigers are 6-19 AGAINST since Aug 05, 2017 on the road
600 14.0 6 16 27.3 The Tigers are 6-16 AGAINST since Aug 05, 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).