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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 on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
100 83.3 -1.0 0 1 0.0 The Marlins are 0-1 AGAINST since Sep 22, 2019 as a home dog.
100 90.9 -2.0 0 1 0.0 The Marlins are 0-1 AGAINST since Sep 29, 2019 as a dog.
100 90.9 -2.0 0 1 0.0 The Marlins are 0-1 AGAINST since Sep 29, 2019 as a road dog.
100 90.9 -2.0 0 1 0.0 The Marlins are 0-1 AGAINST since Sep 29, 2019 on the road.
100 83.3 -3.0 0 1 0.0 The Marlins are 0-1 AGAINST since Jul 23, 2019 as a road favorite.
100 90.9 -2.0 0 1 0.0 The Marlins are 0-1 AGAINST since Sep 29, 2019.
100 83.3 -1.0 0 1 0.0 The Marlins are 0-1 AGAINST since Sep 22, 2019 at home.
2681 11.0 0.9 125 90 58.1 The Marlins are 125-90-6 ON since Aug 05, 2004 as a road favorite.
1405 31.1 2.4 27 12 69.2 The Marlins are 27-12-2 ON since Jun 12, 2019 as a home dog.
1145 18.9 1.3 31 18 63.3 The Marlins are 31-18-6 ON since Jul 31, 2019 as a dog.
1140 18.2 1.2 32 19 62.7 The Marlins are 32-19-6 ON since Jul 31, 2019.

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).