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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 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
1258 13.7 -0.1 32 48 40.0 The Athletics are 32-48-3 AGAINST since Jul 27, 2018 as a dog.
1254 8.5 0.0 56 74 43.1 The Athletics are 56-74-5 AGAINST since Apr 26, 2019.
1155 22.2 -0.3 17 30 36.2 The Athletics are 17-30 AGAINST since Jun 10, 2019 on the road.
870 26.1 -0.5 10 20 33.3 The Athletics are 10-20 AGAINST since Jun 29, 2018 as a home dog.
787 59.9 -3.0 2 10 16.7 The Athletics are 2-10 AGAINST since Sep 17, 2019 as a favorite.
725 21.8 -0.2 10 18 35.7 The Athletics are 10-18-2 AGAINST since Apr 28, 2019 as a road favorite.
700 22.7 -0.1 10 18 35.7 The Athletics are 10-18 AGAINST since Jun 07, 2019 as a road dog.
187 29.1 -1.3 2 4 33.3 The Athletics are 2-4 AGAINST since Sep 17, 2019 at home.
187 29.1 -1.3 2 4 33.3 The Athletics are 2-4 AGAINST since Sep 17, 2019 as a home 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).