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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
4055 11.3 -1.8 62 144 30.1 The Royals are 62-144 AGAINST since Aug 01, 2017 as a dog
1138 15.3 -0.9 15 34 30.6 The Royals are 15-34 AGAINST since Mar 31, 2019
707 21.1 -1.6 7 17 29.2 The Royals are 7-17 AGAINST since Sep 30, 2018 as a home dog
500 56.4 -4.4 1 6 14.3 The Royals are 1-6 AGAINST since May 11, 2019 at home
779 53.4 3.4 10 2 83.3 The Royals are 10-2 ON since Aug 28, 2018 as a home favorite
772 46.1 2.9 11 3 78.6 The Royals are 11-3 ON since Aug 28, 2018 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).