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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 on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
1152 13.5 -0.5 29 44 39.7 The Marlins are 29-44-3 AGAINST since Apr 03, 2018 at home
1127 24.1 -1.0 13 26 33.3 The Marlins are 13-26-3 AGAINST since Jun 26, 2018 as a home dog
380 34.1 -1.7 3 7 30.0 The Marlins are 3-7 AGAINST since Sep 18, 2018 as a dog
380 34.1 -1.7 3 7 30.0 The Marlins are 3-7 AGAINST since Sep 18, 2018
300 85.7 -4.2 0 3 0.0 The Marlins are 0-3 AGAINST since May 01, 2018 as a favorite
300 85.7 -4.2 0 3 0.0 The Marlins are 0-3 AGAINST since May 01, 2018 as a home favorite
200 85.8 -6.2 0 2 0.0 The Marlins are 0-2 AGAINST since Sep 29, 2018 as a road dog
200 85.8 -6.2 0 2 0.0 The Marlins are 0-2 AGAINST since Sep 29, 2018 on the road
4064 9.5 1.0 213 159 57.3 The Marlins are 213-159-16 ON since May 09, 2014 on the road
2833 12.1 1.4 119 84 58.6 The Marlins are 119-84-8 ON since Aug 15, 2015 as a road dog
2781 11.4 0.9 125 89 58.4 The Marlins are 125-89-6 ON since Aug 05, 2004 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).