Winning picks from SDQL masters.
S p o r t s D a t a b a s e . c o m
tools for the objective handicapper


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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
330 17.6 0.8 6 10 37.5 The Nationals are 6-10-1 AGAINST since Apr 18, 2019 as a favorite
280 29.0 -0.4 2 5 28.6 The Nationals are 2-5-2 AGAINST since May 05, 2019 as a road dog
275 35.7 1.6 2 5 28.6 The Nationals are 2-5 AGAINST since May 01, 2019 as a home favorite
260 16.2 0.3 5 8 38.5 The Nationals are 5-8-2 AGAINST since Apr 30, 2019 as a dog
255 21.1 1.0 4 7 36.4 The Nationals are 4-7 AGAINST since Apr 30, 2019 at home
190 43.7 -0.5 1 3 25.0 The Nationals are 1-3 AGAINST since Apr 21, 2019 as a road favorite
170 13.3 -0.1 4 6 40.0 The Nationals are 4-6-2 AGAINST since May 05, 2019 on the road
100 95.2 -3.5 0 1 0.0 The Nationals are 0-1 AGAINST since May 25, 2019

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).