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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 on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
1473 15.2 -0.0 36 53 40.4 The Cubs are 36-53 AGAINST since Oct 01, 2017 at home
1338 17.3 -0.3 28 43 39.4 The Cubs are 28-43 AGAINST since Apr 26, 2018 as a home favorite
1160 43.4 -1.3 6 18 25.0 The Cubs are 6-18 AGAINST since Sep 23, 2014 as a home dog
378 33.1 -1.0 3 7 30.0 The Cubs are 3-7 AGAINST since Sep 23, 2018
378 33.1 -1.0 3 7 30.0 The Cubs are 3-7 AGAINST since Sep 23, 2018 as a favorite
100 100.0 -1.5 0 1 0.0 The Cubs are 0-1 AGAINST since Sep 17, 2018 as a dog
100 100.0 -1.5 0 1 0.0 The Cubs are 0-1 AGAINST since Sep 17, 2018 as a road dog
100 83.3 -1.5 0 1 0.0 The Cubs are 0-1 AGAINST since Sep 23, 2018 on the road
100 83.3 -1.5 0 1 0.0 The Cubs are 0-1 AGAINST since Sep 23, 2018 as a road favorite
580 43.4 1.4 9 3 75.0 The Cubs are 9-3 ON since Sep 04, 2018 on the road

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).