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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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI wins losses % link
3240 10.0 74 142 34.3 The Athletics are 74-142 AGAINST since Oct 08, 2013 as a road dog
1817 22.8 43 28 60.6 The Athletics are 43-28 ON since Apr 18, 2017 at home
1474 81.1 14 3 82.4 The Athletics are 14-3 ON since Sep 06, 2017
1417 35.2 24 16 60.0 The Athletics are 24-16 ON since Apr 18, 2017 as a home dog
1131 20.1 30 15 66.7 The Athletics are 30-15 ON since Jul 26, 2016 as a favorite
1123 42.8 17 5 77.3 The Athletics are 17-5 ON since May 24, 2015 as a road favorite
1079 98.1 9 2 81.8 The Athletics are 9-2 ON since Sep 06, 2017 as a dog
558 35.6 9 3 75.0 The Athletics are 9-3 ON since Jul 04, 2017 as a home 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).