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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
1837 36.7 15 28 34.9 The Mariners are 15-28 AGAINST since Jun 24, 2017 at home
1730 9.9 46 79 36.8 The Mariners are 46-79 AGAINST since Jun 03, 2016 as a dog
1037 10.6 36 44 45.0 The Mariners are 36-44 AGAINST since Jun 24, 2017
956 28.6 7 18 28.0 The Mariners are 7-18 AGAINST since Apr 11, 2017 as a home dog
790 49.7 1 9 10.0 The Mariners are 1-9 AGAINST since Aug 26, 2017 as a road dog
581 32.3 3 9 25.0 The Mariners are 3-9 AGAINST since Aug 26, 2017 on the road
527 131.8 0 4 0.0 The Mariners are 0-4 AGAINST since Sep 10, 2017 as a home favorite
3617 15.7 115 63 64.6 The Mariners are 115-63 ON since Apr 11, 2009 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).