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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
1948 18.7 -0.5 34 57 37.4 The Diamondbacks are 34-57-3 AGAINST since Sep 06, 2016 on the road
1251 11.4 -0.1 43 51 45.7 The Diamondbacks are 43-51-5 AGAINST since Sep 20, 2016 as a favorite
858 21.9 -0.6 12 22 35.3 The Diamondbacks are 12-22-1 AGAINST since Sep 20, 2016 as a road favorite
750 75.4 1.0 5 4 55.6 The Diamondbacks are 5-4 AGAINST since Sep 24, 2017 at home
718 18.4 0.4 16 16 50.0 The Diamondbacks are 16-16-3 AGAINST since Jun 25, 2017 as a home favorite
770 50.0 2.1 11 3 78.6 The Diamondbacks are 11-3 ON since Oct 01, 2017 on the road
590 54.4 2.4 8 2 80.0 The Diamondbacks are 8-2 ON since Oct 06, 2017 as a road dog
525 17.9 0.9 16 10 61.5 The Diamondbacks are 16-10-1 ON since Aug 10, 2017 as a 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).