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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
1815 49.1 -0.1 14 23 37.8 The Diamondbacks are 14-23 AGAINST since Jun 16, 2018 as a home favorite
1807 13.4 0.1 55 64 46.2 The Diamondbacks are 55-64 AGAINST since May 09, 2018
1775 45.0 -0.1 15 24 38.5 The Diamondbacks are 15-24 AGAINST since Jun 16, 2018 at home
1467 18.1 0.6 40 41 49.4 The Diamondbacks are 40-41 AGAINST since May 02, 2018 as a favorite
587 34.1 -2.4 2 9 18.2 The Diamondbacks are 2-9 AGAINST since Jul 25, 2018 as a road dog
584 20.1 -0.6 9 14 39.1 The Diamondbacks are 9-14 AGAINST since Aug 10, 2018 on the road
547 27.8 -1.9 3 10 23.1 The Diamondbacks are 3-10 AGAINST since Jul 25, 2018 as a dog
1394 36.6 0.6 23 15 60.5 The Diamondbacks are 23-15 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).