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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
235 19.1 0.7 4 7 36.4 The Athletics are 4-7 AGAINST since Jun 29, 2018 as a home dog
215 14.5 -0.5 5 8 38.5 The Athletics are 5-8 AGAINST since Jun 27, 2018 as a road favorite
200 90.9 -3.0 0 2 0.0 The Athletics are 0-2 AGAINST since Sep 22, 2018 at home
200 90.9 -3.0 0 2 0.0 The Athletics are 0-2 AGAINST since Sep 22, 2018 as a home favorite
1260 42.0 2.0 20 7 74.1 The Athletics are 20-7-1 ON since Aug 31, 2018
865 53.1 2.9 12 3 80.0 The Athletics are 12-3 ON since Aug 31, 2018 at home
780 45.5 2.2 12 4 75.0 The Athletics are 12-4 ON since Aug 31, 2018 as a favorite
780 59.5 3.0 10 2 83.3 The Athletics are 10-2 ON since Aug 31, 2018 as a home favorite
600 62.6 2.6 7 1 87.5 The Athletics are 7-1-1 ON since Sep 15, 2018 on the road

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).