Winning picks from SDQL masters. 		S p o r t s D a t a b a s e . c o m
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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 guest's web all active on filter on
Trends from SDB's sample ou against,SDB's sample ou against
$ ROI Margin wins losses % link
605 18.4 -1.4 11 18 37.9 The Tigers are 11-18-1 AGAINST since Sep 06, 2016 as a road favorite.
475 33.8 -0.8 4 9 30.8 The Tigers are 4-9 AGAINST since Sep 13, 2020.
375 29.1 -0.6 4 8 33.3 The Tigers are 4-8 AGAINST since Sep 13, 2020 as a dog.
300 89.6 -2.7 0 3 0.0 The Tigers are 0-3 AGAINST since Jul 28, 2020 as a favorite.
300 89.6 -2.7 0 3 0.0 The Tigers are 0-3 AGAINST since Jul 28, 2020 as a home favorite.
300 89.6 -3.3 0 3 0.0 The Tigers are 0-3 AGAINST since Sep 25, 2020 on the road.
300 89.6 -3.3 0 3 0.0 The Tigers are 0-3 AGAINST since Sep 25, 2020 as a road dog.
270 23.2 -0.1 4 7 36.4 The Tigers are 4-7 AGAINST since Aug 29, 2020 at home.
170 16.2 0.2 4 6 40.0 The Tigers are 4-6 AGAINST since Aug 29, 2020 as a home 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).