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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 against
$ ROI Margin wins losses % link
1303 23.2 -0.8 17 32 34.7 The Diamondbacks are 17-32-1 AGAINST since Sep 20, 2016 as a road favorite
700 70.4 -2.2 1 8 11.1 The Diamondbacks are 1-8 AGAINST since Jun 26, 2018 on the road
680 66.7 -2.0 1 8 11.1 The Diamondbacks are 1-8 AGAINST since Apr 03, 2018 as a home dog
633 29.6 -0.1 6 13 31.6 The Diamondbacks are 6-13 AGAINST since Jun 26, 2018
498 21.8 0.1 7 13 35.0 The Diamondbacks are 7-13 AGAINST since Jun 16, 2018 as a favorite
133 9.8 1.3 5 7 41.7 The Diamondbacks are 5-7 AGAINST since Jun 16, 2018 at home
133 9.8 1.3 5 7 41.7 The Diamondbacks are 5-7 AGAINST since Jun 16, 2018 as a home favorite
100 95.2 -5.5 0 1 0.0 The Diamondbacks are 0-1 AGAINST since Jul 13, 2018 as a road dog
100 95.2 -5.5 0 1 0.0 The Diamondbacks are 0-1 AGAINST since Jul 13, 2018 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).