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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 against
$ ROI Margin wins losses % link
3527 10.1 0.1 129 177 42.2 The Blue Jays are 129-177-10 AGAINST since Jun 01, 2014 as a home favorite.
952 19.5 -0.8 15 26 36.6 The Blue Jays are 15-26-3 AGAINST since Jul 05, 2019.
762 36.6 -0.7 5 13 27.8 The Blue Jays are 5-13-1 AGAINST since Jul 05, 2019 at home.
710 23.6 -1.1 9 17 34.6 The Blue Jays are 9-17-1 AGAINST since Jul 12, 2019 as a dog.
467 28.3 -0.4 4 9 30.8 The Blue Jays are 4-9-2 AGAINST since Jul 05, 2019 as a favorite.
435 24.2 -1.4 5 10 33.3 The Blue Jays are 5-10-1 AGAINST since Jul 12, 2019 as a road dog.
400 90.3 -4.5 0 4 0.0 The Blue Jays are 0-4 AGAINST since Aug 09, 2019 as a home dog.
200 58.0 -1.5 0 2 0.0 The Blue Jays are 0-2-1 AGAINST since Aug 02, 2019 as a road favorite.
145 11.6 -0.4 4 6 40.0 The Blue Jays are 4-6-1 AGAINST since Aug 02, 2019 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).