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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
3599 20.0 -0.4 55 96 36.4 The Giants are 55-96-11 AGAINST since Sep 24, 2009 as a home dog
1503 30.3 -0.4 14 30 31.8 The Giants are 14-30-1 AGAINST since Jun 24, 2018 at home
1148 34.0 -0.3 9 21 30.0 The Giants are 9-21-1 AGAINST since Jun 24, 2018 as a favorite
748 25.4 0.0 9 17 34.6 The Giants are 9-17-1 AGAINST since Jun 24, 2018 as a home favorite
400 94.1 -2.9 0 4 0.0 The Giants are 0-4 AGAINST since Jul 02, 2018 as a road favorite
590 67.0 3.1 7 1 87.5 The Giants are 7-1 ON since Sep 18, 2018 as a dog
500 90.9 2.3 5 0 100.0 The Giants are 5-0 ON since Sep 18, 2018 on the road
500 90.9 2.3 5 0 100.0 The Giants are 5-0 ON since Sep 18, 2018 as a road 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).