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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
230 12.5 -0.7 7 10 41.2 The Yankees are 7-10 AGAINST since Sep 13, 2016 as a home dog
190 76.0 1.8 1 2 33.3 The Yankees are 1-2 AGAINST since Oct 06, 2018
190 76.0 1.8 1 2 33.3 The Yankees are 1-2 AGAINST since Oct 06, 2018 as a favorite
100 83.3 -2.0 0 1 0.0 The Yankees are 0-1 AGAINST since Oct 09, 2018 at home
100 83.3 -2.0 0 1 0.0 The Yankees are 0-1 AGAINST since Oct 09, 2018 as a home favorite
100 83.3 -1.0 0 1 0.0 The Yankees are 0-1 AGAINST since Oct 06, 2018 on the road
100 83.3 -1.0 0 1 0.0 The Yankees are 0-1 AGAINST since Oct 06, 2018 as a road favorite
967 37.4 2.0 17 7 70.8 The Yankees are 17-7 ON since Sep 10, 2018
667 29.7 2.0 14 7 66.7 The Yankees are 14-7 ON since Sep 10, 2018 as a favorite
600 70.8 3.6 7 1 87.5 The Yankees are 7-1 ON since Sep 25, 2018 on the road
567 32.7 2.2 11 5 68.8 The Yankees are 11-5 ON since Aug 30, 2018 at home
567 32.7 2.2 11 5 68.8 The Yankees are 11-5 ON since Aug 30, 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).