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
565 34.6 -1.7 4 10 28.6 The Diamondbacks are 4-10-1 AGAINST since Aug 09, 2019 as a road dog.
525 21.8 -0.8 7 13 35.0 The Diamondbacks are 7-13-2 AGAINST since Aug 09, 2019 as a dog.
200 45.5 -0.1 1 3 25.0 The Diamondbacks are 1-3 AGAINST since Sep 01, 2019 as a home dog.
165 15.0 -1.6 3 5 37.5 The Diamondbacks are 3-5-2 AGAINST since Sep 03, 2019 as a home favorite.
100 90.9 -8.5 0 1 0.0 The Diamondbacks are 0-1 AGAINST since Sep 29, 2019.
100 90.9 -8.5 0 1 0.0 The Diamondbacks are 0-1 AGAINST since Sep 29, 2019 as a favorite.
100 90.9 -8.5 0 1 0.0 The Diamondbacks are 0-1 AGAINST since Sep 29, 2019 at home.

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).