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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
680 17.0 0.3 14 22 38.9 The Rangers are 14-22-1 AGAINST since Jul 08, 2017 as a favorite
500 52.6 -0.8 2 7 22.2 The Rangers are 2-7 AGAINST since May 11, 2018 on the road
490 42.2 -0.2 3 8 27.3 The Rangers are 3-8 AGAINST since May 09, 2018
410 15.1 0.6 10 15 40.0 The Rangers are 10-15 AGAINST since Jul 08, 2017 as a home favorite
340 13.8 -0.1 9 13 40.9 The Rangers are 9-13-1 AGAINST since Sep 11, 2016 as a road favorite
200 46.5 -0.5 1 3 25.0 The Rangers are 1-3 AGAINST since May 11, 2018 as a road dog
190 29.2 0.3 2 4 33.3 The Rangers are 2-4 AGAINST since May 06, 2018 as a dog
1846 16.5 1.5 59 37 61.5 The Rangers are 59-37-5 ON since Jun 23, 2015 as a home dog
1461 6.4 0.9 107 84 56.0 The Rangers are 107-84-14 ON since Sep 13, 2015 at home
1105 16.9 0.9 35 22 61.4 The Rangers are 35-22-3 ON since Aug 27, 2017 as a 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).