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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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
1692 60.4 -1.6 9 19 32.1 The Mariners are 9-19 AGAINST since Jul 06, 2018 as a favorite
1257 36.2 -1.7 11 19 36.7 The Mariners are 11-19 AGAINST since Jul 06, 2018 at home
1142 15.7 -1.9 19 35 35.2 The Mariners are 19-35 AGAINST since Apr 11, 2017 as a home dog
1002 55.7 -1.1 7 11 38.9 The Mariners are 7-11 AGAINST since Jul 06, 2018 as a home favorite
790 87.5 -3.1 1 8 11.1 The Mariners are 1-8 AGAINST since Aug 07, 2018 as a road favorite
4340 8.7 0.0 233 219 51.5 The Mariners are 233-219 ON since Jun 14, 2013 on the road
1633 19.2 0.2 44 41 51.8 The Mariners are 44-41 ON since May 28, 2017 as a road dog
1384 44.6 0.4 19 12 61.3 The Mariners are 19-12 ON since Jul 29, 2018 as a 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).