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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 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
3475 10.3 0.1 123 170 42.0 The Blue Jays are 123-170-9 AGAINST since Jun 01, 2014 as a home favorite
2393 7.4 -0.0 123 160 43.5 The Blue Jays are 123-160-7 AGAINST since Oct 21, 2015 as a favorite
280 47.1 -2.8 1 4 20.0 The Blue Jays are 1-4 AGAINST since Sep 02, 2018 as a road favorite
180 37.9 -0.9 1 3 25.0 The Blue Jays are 1-3 AGAINST since May 15, 2019 on the road
100 83.3 -2.5 0 1 0.0 The Blue Jays are 0-1 AGAINST since May 19, 2019 as a road dog
1548 11.7 0.8 69 49 58.5 The Blue Jays are 69-49-4 ON since Apr 25, 2017 as a road dog
1178 10.7 0.8 57 42 57.6 The Blue Jays are 57-42-3 ON since May 28, 2018 as a dog
500 77.8 1.9 5 0 100.0 The Blue Jays are 5-0-1 ON since May 08, 2019 as a home 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).