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
375 41.2 -1.5 2 6 25.0 The Diamondbacks are 2-6 AGAINST since Apr 30, 2019 as a home favorite
355 26.4 -0.9 4 8 33.3 The Diamondbacks are 4-8 AGAINST since Apr 30, 2019 at home
345 19.7 0.4 6 10 37.5 The Diamondbacks are 6-10 AGAINST since May 08, 2019
300 58.3 -0.4 1 4 20.0 The Diamondbacks are 1-4 AGAINST since May 08, 2019 as a road dog
260 25.8 0.8 3 6 33.3 The Diamondbacks are 3-6 AGAINST since Aug 19, 2018 as a road favorite
200 48.2 -0.0 1 3 25.0 The Diamondbacks are 1-3 AGAINST since May 20, 2019 as a dog
190 30.4 1.8 2 4 33.3 The Diamondbacks are 2-4 AGAINST since May 08, 2019 on the road
165 18.2 0.6 3 5 37.5 The Diamondbacks are 3-5 AGAINST since May 09, 2019 as a favorite

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).