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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 against
$ ROI Margin wins losses % link
1080 51.4 -1.2 3 14 17.6 The Astros are 3-14-2 AGAINST since Jun 28, 2018 on the road
988 19.1 -0.2 16 28 36.4 The Astros are 16-28-2 AGAINST since Jun 19, 2018
980 55.1 -1.4 2 12 14.3 The Astros are 2-12-2 AGAINST since Jun 28, 2018 as a road favorite
888 18.3 -0.2 15 26 36.6 The Astros are 15-26-2 AGAINST since Jun 19, 2018 as a favorite
680 17.7 -0.0 12 20 37.5 The Astros are 12-20-3 AGAINST since Sep 03, 2014 as a home dog
400 89.9 -1.4 0 4 0.0 The Astros are 0-4 AGAINST since Aug 10, 2018 at home
400 89.9 -1.4 0 4 0.0 The Astros are 0-4 AGAINST since Aug 10, 2018 as a home favorite
280 31.7 -0.4 2 5 28.6 The Astros are 2-5-1 AGAINST since Oct 31, 2017 as a dog
280 31.0 -0.4 2 5 28.6 The Astros are 2-5-1 AGAINST since Oct 24, 2017 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).