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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
1105 28.5 -0.2 9 21 30.0 The Dodgers are 9-21-5 AGAINST since Sep 13, 2017
1005 30.1 -0.4 8 19 29.6 The Dodgers are 8-19-3 AGAINST since Sep 13, 2017 as a favorite
770 39.0 -0.0 3 11 21.4 The Dodgers are 3-11-4 AGAINST since Sep 13, 2017 on the road
700 89.2 -3.6 0 7 0.0 The Dodgers are 0-7 AGAINST since Oct 15, 2017 as a home favorite
600 67.8 -2.5 1 7 12.5 The Dodgers are 1-7 AGAINST since Oct 15, 2017 at home
570 37.0 0.1 3 9 25.0 The Dodgers are 3-9-2 AGAINST since Sep 13, 2017 as a road favorite
500 50.2 -1.8 1 6 14.3 The Dodgers are 1-6-2 AGAINST since Apr 10, 2017 as a road dog
500 41.1 -1.4 2 7 22.2 The Dodgers are 2-7-2 AGAINST since Apr 10, 2017 as a dog
670 42.8 1.8 10 3 76.9 The Dodgers are 10-3-1 ON since Sep 01, 2014 as a home dog
588 46.6 3.6 9 3 75.0 The Dodgers are 9-3 ON since Apr 11, 2018 as a favorite

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).