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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 Margin wins losses % link
1213 27.2 -1.4 13 26 33.3 The Athletics are 13-26-2 AGAINST since Aug 09, 2017 as a home favorite
768 43.5 -1.8 4 12 25.0 The Athletics are 4-12 AGAINST since Jul 27, 2018
700 92.1 -4.0 0 7 0.0 The Athletics are 0-7 AGAINST since Jul 27, 2018 as a dog
663 33.3 -0.7 5 12 29.4 The Athletics are 5-12-1 AGAINST since Jun 29, 2018 at home
400 93.0 -5.2 0 4 0.0 The Athletics are 0-4 AGAINST since Jul 27, 2018 as a road dog
385 59.7 -2.8 1 5 16.7 The Athletics are 1-5 AGAINST since Jul 27, 2018 on the road
380 57.6 -0.4 1 5 16.7 The Athletics are 1-5 AGAINST since Jun 29, 2018 as a home dog
175 25.5 -1.1 2 4 33.3 The Athletics are 2-4 AGAINST since Aug 03, 2018 as a favorite
165 23.9 -0.8 2 4 33.3 The Athletics are 2-4 AGAINST since Jun 27, 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).