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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
4679 8.7 -0.1 197 261 43.0 The Giants are 197-261-26 AGAINST since May 28, 2012 as a dog
3719 21.0 -0.5 53 95 35.8 The Giants are 53-95-11 AGAINST since Sep 24, 2009 as a home dog
2742 5.5 0.1 193 236 45.0 The Giants are 193-236-23 AGAINST since May 07, 2016
1528 35.7 -0.8 11 27 28.9 The Giants are 11-27-1 AGAINST since Jun 24, 2018 at home
1053 34.8 -0.2 8 19 29.6 The Giants are 8-19-1 AGAINST since Jun 24, 2018 as a favorite
653 25.1 0.2 8 15 34.8 The Giants are 8-15-1 AGAINST since Jun 24, 2018 as a home favorite
400 94.1 -2.9 0 4 0.0 The Giants are 0-4 AGAINST since Jul 02, 2018 as a road favorite

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).