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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 against
$ ROI wins losses % link
3145 23.8 40 75 34.8 The Angels are 40-75-5 AGAINST since Jun 21, 2016 as a dog
2882 17.8 53 86 38.1 The Angels are 53-86-8 AGAINST since Aug 07, 2016
2067 18.1 37 61 37.8 The Angels are 37-61-6 AGAINST since Jun 06, 2016 on the road
1768 22.7 24 44 35.3 The Angels are 24-44-2 AGAINST since Jun 10, 2014 as a home dog
1742 19.1 29 49 37.2 The Angels are 29-49-5 AGAINST since Jun 21, 2016 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).