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
2935 17.2 -0.3 55 90 37.9 The Angels are 55-90-10 AGAINST since Jun 21, 2016 as a road dog
610 10.7 -0.2 20 28 41.7 The Angels are 20-28-4 AGAINST since Jun 28, 2018 on the road
580 53.5 -1.9 2 8 20.0 The Angels are 2-8 AGAINST since Mar 28, 2019 as a dog
425 18.0 -0.3 7 12 36.8 The Angels are 7-12-2 AGAINST since Aug 08, 2018 as a home favorite
385 13.5 0.1 9 14 39.1 The Angels are 9-14-2 AGAINST since Aug 28, 2018 at home
100 100.0 -2.0 0 1 0.0 The Angels are 0-1 AGAINST since Apr 10, 2019 as a home 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).