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 ml against,SDB's sample ml against
$ ROI Margin wins losses % link
6482 5.4 -1.1 300 494 37.8 The Tigers are 300-494 AGAINST since May 05, 2008 as a dog.
5612 9.0 -1.2 149 256 36.8 The Tigers are 149-256 AGAINST since Apr 18, 2017.
4101 14.4 -1.7 61 127 32.4 The Tigers are 61-127 AGAINST since Jul 30, 2011 as a home dog.
4040 7.0 -0.5 227 252 47.4 The Tigers are 227-252 AGAINST since Aug 16, 2013 at home.
1479 61.1 -2.3 6 18 25.0 The Tigers are 6-18 AGAINST since Oct 01, 2016 as a road favorite.
1100 32.0 -1.9 4 16 20.0 The Tigers are 4-16 AGAINST since Jun 01, 2019 on the road.
887 27.5 -1.8 4 14 22.2 The Tigers are 4-14 AGAINST since Jun 01, 2019 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).