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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
680 66.7 -2.0 1 8 11.1 The Diamondbacks are 1-8 AGAINST since Apr 03, 2018 as a home dog
400 93.0 -3.5 0 4 0.0 The Diamondbacks are 0-4 AGAINST since Jul 13, 2018 as a road dog
400 93.0 -3.5 0 4 0.0 The Diamondbacks are 0-4 AGAINST since Jul 13, 2018 as a dog
400 91.3 -2.4 0 4 0.0 The Diamondbacks are 0-4 AGAINST since Aug 05, 2018 at home
400 91.3 -2.4 0 4 0.0 The Diamondbacks are 0-4 AGAINST since Aug 05, 2018 as a home favorite
380 43.4 -1.8 2 6 25.0 The Diamondbacks are 2-6 AGAINST since Aug 05, 2018
380 43.4 -1.8 2 6 25.0 The Diamondbacks are 2-6 AGAINST since Aug 05, 2018 as a favorite
100 90.9 -1.5 0 1 0.0 The Diamondbacks are 0-1 AGAINST since Aug 13, 2018 on the road
100 90.9 -1.5 0 1 0.0 The Diamondbacks are 0-1 AGAINST since Aug 13, 2018 as a road 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).