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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
700 72.5 -3.3 1 8 11.1 The Tigers are 1-8 AGAINST since Mar 28, 2019 on the road
700 72.5 -3.3 1 8 11.1 The Tigers are 1-8 AGAINST since Mar 28, 2019 as a road dog
680 41.6 -2.3 4 11 26.7 The Tigers are 4-11 AGAINST since Mar 28, 2019 as a dog
625 22.0 -1.3 9 16 36.0 The Tigers are 9-16-1 AGAINST since Sep 06, 2016 as a road favorite
200 44.4 -2.0 1 3 25.0 The Tigers are 1-3 AGAINST since Apr 10, 2019 as a home dog
100 90.9 -2.0 0 1 0.0 The Tigers are 0-1 AGAINST since Apr 21, 2019 as a favorite
100 90.9 -2.0 0 1 0.0 The Tigers are 0-1 AGAINST since Apr 21, 2019 as a home favorite
100 90.9 -2.0 0 1 0.0 The Tigers are 0-1 AGAINST since Apr 21, 2019 at home
100 90.9 -2.0 0 1 0.0 The Tigers are 0-1 AGAINST since Apr 21, 2019
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).