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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
630 20.1 -0.4 10 17 37.0 The Rangers are 10-17-2 AGAINST since Sep 11, 2016 as a road favorite
300 67.4 -0.9 0 3 0.0 The Rangers are 0-3-1 AGAINST since Aug 11, 2018
300 67.4 -0.9 0 3 0.0 The Rangers are 0-3-1 AGAINST since Aug 11, 2018 as a dog
200 88.9 -1.0 0 2 0.0 The Rangers are 0-2 AGAINST since Aug 11, 2018 on the road
200 88.9 -1.0 0 2 0.0 The Rangers are 0-2 AGAINST since Aug 11, 2018 as a road dog
100 45.5 -0.8 0 1 0.0 The Rangers are 0-1-1 AGAINST since Aug 13, 2018 at home
100 45.5 -0.8 0 1 0.0 The Rangers are 0-1-1 AGAINST since Aug 13, 2018 as a home dog
2106 7.8 1.1 130 99 56.8 The Rangers are 130-99-15 ON since Sep 13, 2015 at home
600 65.8 4.6 7 1 87.5 The Rangers are 7-1 ON since Jun 29, 2018 as a home 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).