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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 on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
2680 4.7 0.2 223 271 45.1 The Rangers are 223-271-22 AGAINST since May 08, 2009 as a road dog
858 10.3 -0.3 31 42 42.5 The Rangers are 31-42-3 AGAINST since May 31, 2018 as a dog
520 16.0 -0.3 11 17 39.3 The Rangers are 11-17-2 AGAINST since Sep 11, 2016 as a road favorite
433 21.5 -1.9 6 11 35.3 The Rangers are 6-11-1 AGAINST since Sep 10, 2018
428 16.0 -0.9 9 14 39.1 The Rangers are 9-14-1 AGAINST since Aug 11, 2018 on the road
180 39.6 -3.5 1 3 25.0 The Rangers are 1-3 AGAINST since Sep 17, 2018 as a home dog
170 19.3 -2.3 3 5 37.5 The Rangers are 3-5 AGAINST since Sep 03, 2018 at home
655 38.6 3.2 11 4 73.3 The Rangers are 11-4 ON since Jun 29, 2018 as a home favorite
653 29.3 2.2 13 6 68.4 The Rangers are 13-6-1 ON since Jun 29, 2018 as a 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).