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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
3779 20.1 -0.5 57 100 36.3 The Giants are 57-100-12 AGAINST since Sep 24, 2009 as a home dog
1148 31.1 -0.3 10 22 31.2 The Giants are 10-22-2 AGAINST since Jun 24, 2018 as a favorite
748 22.9 0.1 10 18 35.7 The Giants are 10-18-2 AGAINST since Jun 24, 2018 as a home favorite
533 21.8 -1.0 7 13 35.0 The Giants are 7-13-2 AGAINST since Mar 28, 2019
533 25.2 -1.2 6 12 33.3 The Giants are 6-12-1 AGAINST since Mar 28, 2019 as a dog
400 94.1 -2.9 0 4 0.0 The Giants are 0-4 AGAINST since Jul 02, 2018 as a road favorite
400 72.1 -3.2 0 4 0.0 The Giants are 0-4-1 AGAINST since Apr 10, 2019 at home
353 26.2 -0.7 4 8 33.3 The Giants are 4-8 AGAINST since Mar 28, 2019 on the road
353 26.2 -0.7 4 8 33.3 The Giants are 4-8 AGAINST since Mar 28, 2019 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).