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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
1107 21.0 -1.0 15 28 34.9 The Rays are 15-28-4 AGAINST since Apr 29, 2018
860 49.9 -1.7 3 12 20.0 The Rays are 3-12 AGAINST since May 20, 2018 on the road
725 32.0 -1.3 6 14 30.0 The Rays are 6-14 AGAINST since May 20, 2018 as a dog
725 28.0 -1.2 7 15 31.8 The Rays are 7-15-1 AGAINST since Jul 21, 2017 as a home dog
660 44.3 -1.6 3 10 23.1 The Rays are 3-10 AGAINST since May 20, 2018 as a road dog
660 42.3 -2.1 3 10 23.1 The Rays are 3-10-1 AGAINST since Apr 30, 2018 as a favorite
480 55.0 -2.2 1 6 14.3 The Rays are 1-6-1 AGAINST since Apr 11, 2018 as a road favorite
280 35.4 -2.5 2 5 28.6 The Rays are 2-5 AGAINST since May 06, 2018 as a home favorite
200 93.0 -4.5 0 2 0.0 The Rays are 0-2 AGAINST since Jun 12, 2018 at home

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).