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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
1815 51.2 -0.9 10 20 33.3 The Diamondbacks are 10-20-2 AGAINST since Sep 24, 2017 at home
1616 12.5 -0.3 49 61 44.5 The Diamondbacks are 49-61-7 AGAINST since Sep 20, 2016 as a favorite
1203 22.6 -0.2 19 24 44.2 The Diamondbacks are 19-24-5 AGAINST since Jun 25, 2017 as a home favorite
680 66.7 -2.0 1 8 11.1 The Diamondbacks are 1-8 AGAINST since Apr 03, 2018 as a home dog
460 37.4 -1.0 3 8 27.3 The Diamondbacks are 3-8 AGAINST since Apr 29, 2018 as a dog
100 80.0 -3.0 0 1 0.0 The Diamondbacks are 0-1 AGAINST since May 18, 2018 as a road dog
955 39.5 1.6 16 6 72.7 The Diamondbacks are 16-6 ON since Oct 01, 2017 on the road
775 44.3 1.8 12 4 75.0 The Diamondbacks are 12-4 ON since Oct 06, 2017 as a road 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).