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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
2797 15.8 -0.4 60 92 39.5 The Giants are 60-92-9 AGAINST since Aug 09, 2015 as a road dog
1975 8.6 -0.1 85 111 43.4 The Giants are 85-111-15 AGAINST since May 12, 2016 on the road
563 26.5 0.5 7 13 35.0 The Giants are 7-13 AGAINST since Jun 24, 2018 as a favorite
393 40.7 0.2 2 6 25.0 The Giants are 2-6-1 AGAINST since Aug 05, 2018
363 18.8 0.9 7 11 38.9 The Giants are 7-11 AGAINST since Jun 24, 2018 as a home favorite
300 67.7 -2.9 0 3 0.0 The Giants are 0-3-1 AGAINST since Aug 05, 2018 as a dog
200 100.0 -3.2 0 2 0.0 The Giants are 0-2 AGAINST since Jul 02, 2018 as a road favorite
200 97.6 -2.5 0 2 0.0 The Giants are 0-2 AGAINST since Aug 11, 2018 at home
100 90.9 -3.0 0 1 0.0 The Giants are 0-1 AGAINST since Aug 06, 2018 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).