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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 against
$ ROI Margin wins losses % link
710 20.7 -0.2 10 18 35.7 The Mets are 10-18-3 AGAINST since Jun 09, 2017 as a road favorite
560 49.3 -0.5 2 8 20.0 The Mets are 2-8 AGAINST since Sep 13, 2018
440 29.6 -0.1 4 9 30.8 The Mets are 4-9 AGAINST since Sep 01, 2018 on the road
400 93.0 -1.8 0 4 0.0 The Mets are 0-4 AGAINST since Sep 13, 2018 as a favorite
267 28.9 -2.3 2 5 28.6 The Mets are 2-5-1 AGAINST since Jul 15, 2018 as a home dog
200 95.2 -0.8 0 2 0.0 The Mets are 0-2 AGAINST since Sep 13, 2018 as a home favorite
200 95.2 -0.8 0 2 0.0 The Mets are 0-2 AGAINST since Sep 13, 2018 at home
160 22.7 0.4 2 4 33.3 The Mets are 2-4 AGAINST since Sep 14, 2018 as a dog
160 22.7 0.4 2 4 33.3 The Mets are 2-4 AGAINST since Sep 14, 2018 as a road 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).