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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 Margin wins losses % link
2075 53.2 -0.3 14 25 35.9 The Diamondbacks are 14-25 AGAINST since Jun 16, 2018 as a home favorite
2006 13.9 0.1 58 69 45.7 The Diamondbacks are 58-69 AGAINST since May 09, 2018
1876 21.8 0.5 41 45 47.7 The Diamondbacks are 41-45 AGAINST since May 02, 2018 as a favorite
1825 39.5 -0.2 17 27 38.6 The Diamondbacks are 17-27 AGAINST since Jun 16, 2018 at home
733 22.8 -0.5 10 16 38.5 The Diamondbacks are 10-16 AGAINST since Aug 10, 2018 on the road
587 34.1 -2.4 2 9 18.2 The Diamondbacks are 2-9 AGAINST since Jul 25, 2018 as a road dog
1579 38.4 0.6 25 16 61.0 The Diamondbacks are 25-16 ON since Sep 12, 2016 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).