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
1054 21.3 -1.7 8 22 26.7 The Rangers are 8-22 AGAINST since Aug 11, 2018 on the road
942 19.4 -1.6 8 21 27.6 The Rangers are 8-21 AGAINST since Aug 11, 2018 as a road dog
554 26.2 -0.2 8 13 38.1 The Rangers are 8-13 AGAINST since Jun 30, 2017 as a road favorite
1170 26.2 0.6 24 17 58.5 The Rangers are 24-17 ON since Aug 02, 2018 at home
1055 75.4 1.1 10 4 71.4 The Rangers are 10-4 ON since Sep 21, 2018 as a home dog
978 50.2 0.9 12 7 63.2 The Rangers are 12-7 ON since Mar 30, 2019
778 45.8 0.6 10 7 58.8 The Rangers are 10-7 ON since Mar 30, 2019 as a dog
565 17.6 1.4 16 8 66.7 The Rangers are 16-8 ON since May 09, 2018 as a home 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).