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
1347 21.6 -0.5 19 34 35.8 The Tigers are 19-34-4 AGAINST since Jul 21, 2019 as a dog.
1087 15.0 -0.2 24 37 39.3 The Tigers are 24-37-5 AGAINST since Jul 21, 2019.
1030 31.7 -1.1 8 19 29.6 The Tigers are 8-19-3 AGAINST since Jul 26, 2019 as a road dog.
920 27.4 -1.1 9 19 32.1 The Tigers are 9-19-3 AGAINST since Jul 26, 2019 on the road.
605 18.4 -1.4 11 18 37.9 The Tigers are 11-18-1 AGAINST since Sep 06, 2016 as a road favorite.
380 42.0 -0.7 2 6 25.0 The Tigers are 2-6 AGAINST since Sep 12, 2019 as a home dog.
365 29.3 -0.4 3 7 30.0 The Tigers are 3-7-1 AGAINST since Sep 12, 2019 at home.
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).