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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
690 69.7 -1.9 1 8 11.1 The Mets are 1-8 AGAINST since Apr 24, 2019 as a dog
560 41.9 -0.9 3 9 25.0 The Mets are 3-9 AGAINST since May 03, 2019 on the road
500 90.1 -3.0 0 5 0.0 The Mets are 0-5 AGAINST since May 03, 2019 as a road dog
357 21.3 -0.3 5 9 35.7 The Mets are 5-9-1 AGAINST since Jul 15, 2018 as a home dog
200 93.9 -4.8 0 2 0.0 The Mets are 0-2 AGAINST since May 18, 2019 as a road favorite
100 87.0 -0.5 0 1 0.0 The Mets are 0-1 AGAINST since May 25, 2019 as a home favorite
100 87.0 -0.5 0 1 0.0 The Mets are 0-1 AGAINST since May 25, 2019 at home
100 87.0 -0.5 0 1 0.0 The Mets are 0-1 AGAINST since May 25, 2019 as a favorite
100 87.0 -0.5 0 1 0.0 The Mets are 0-1 AGAINST since May 25, 2019

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).