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
2242 11.7 -0.2 69 98 41.3 The Cardinals are 69-98-6 AGAINST since Sep 07, 2017 as a favorite.
1677 27.9 -0.6 17 35 32.7 The Cardinals are 17-35-3 AGAINST since Sep 22, 2017 as a road favorite.
1477 18.3 -0.5 26 44 37.1 The Cardinals are 26-44-2 AGAINST since Apr 23, 2019.
1265 30.5 -1.1 11 25 30.6 The Cardinals are 11-25-1 AGAINST since Apr 23, 2019 at home.
885 25.5 -0.9 10 20 33.3 The Cardinals are 10-20-1 AGAINST since Apr 23, 2019 as a home favorite.
415 15.6 0.5 9 14 39.1 The Cardinals are 9-14-1 AGAINST since Jul 27, 2017 as a home dog.
205 12.1 0.4 6 9 40.0 The Cardinals are 6-9 AGAINST since May 25, 2019 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).