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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
1160 43.4 -1.3 6 18 25.0 The Cubs are 6-18 AGAINST since Sep 23, 2014 as a home dog
545 26.2 -0.6 6 12 33.3 The Cubs are 6-12-1 AGAINST since Jul 23, 2018
485 32.0 -1.0 4 9 30.8 The Cubs are 4-9-1 AGAINST since Jul 23, 2018 as a favorite
285 29.5 -0.7 3 6 33.3 The Cubs are 3-6 AGAINST since Jul 23, 2018 as a home favorite
280 31.6 -1.0 2 5 28.6 The Cubs are 2-5-1 AGAINST since Jul 27, 2018 on the road
265 22.2 -0.3 4 7 36.4 The Cubs are 4-7 AGAINST since Jul 23, 2018 at home
225 15.8 -0.2 5 8 38.5 The Cubs are 5-8 AGAINST since Jun 13, 2018 as a dog
200 60.6 -2.8 0 2 0.0 The Cubs are 0-2-1 AGAINST since Aug 06, 2018 as a road favorite
180 40.0 -1.5 1 3 25.0 The Cubs are 1-3 AGAINST since Jul 09, 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).