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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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI wins losses % link
1088 58.1 4 12 25.0 The Mariners are 4-12-1 AGAINST since Jun 24, 2017 at home
723 72.3 3 7 30.0 The Mariners are 3-7 AGAINST since Jun 27, 2017 as a home favorite
622 32.5 4 11 26.7 The Mariners are 4-11-1 AGAINST since Apr 11, 2017 as a home dog
3227 14.4 110 62 64.0 The Mariners are 110-62 ON since Apr 11, 2009 as a road favorite
1007 46.3 13 6 68.4 The Mariners are 13-6 ON since May 28, 2017 on the road
737 73.7 7 3 70.0 The Mariners are 7-3 ON since May 28, 2017 as a road dog
600 67.6 6 0 100.0 The Mariners are 6-0 ON since Jul 09, 2017 as a favorite
517 32.4 8 4 66.7 The Mariners are 8-4-1 ON since Jul 09, 2017

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).