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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
585 31.5 -1.1 4 10 28.6 The Dodgers are 4-10-3 AGAINST since Apr 10, 2017 as a dog
485 31.5 -1.2 3 8 27.3 The Dodgers are 3-8-3 AGAINST since Apr 10, 2017 as a road dog
390 43.2 -1.2 2 6 25.0 The Dodgers are 2-6 AGAINST since Apr 29, 2018 as a road favorite
380 31.1 -1.2 3 7 30.0 The Dodgers are 3-7-1 AGAINST since May 01, 2018 on the road
360 22.8 -0.3 5 9 35.7 The Dodgers are 5-9 AGAINST since Apr 29, 2018 as a favorite
350 18.4 -0.5 6 10 37.5 The Dodgers are 6-10-1 AGAINST since May 01, 2018
250 20.2 0.0 4 7 36.4 The Dodgers are 4-7 AGAINST since Apr 21, 2018 at home
190 41.5 -0.8 1 3 25.0 The Dodgers are 1-3 AGAINST since May 10, 2018 as a home favorite
100 100.0 -3.0 0 1 0.0 The Dodgers are 0-1 AGAINST since Apr 21, 2018 as a home 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

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).