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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 SDB's sample su guest's web all active on filter on
Trends from SDB's sample ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
3631 7.0 -0.1 196 251 43.8 The Brewers are 196-251-21 AGAINST since Jun 03, 2010 as a road dog
3473 14.2 -0.5 86 127 40.4 The Brewers are 86-127-10 AGAINST since May 11, 2016 as a dog
1995 29.1 -1.1 18 39 31.6 The Brewers are 18-39-5 AGAINST since Jun 18, 2017 at home
1390 19.2 -0.4 24 39 38.1 The Brewers are 24-39-3 AGAINST since Jul 08, 2016 as a home dog
895 20.1 -0.7 13 23 36.1 The Brewers are 13-23-4 AGAINST since Jun 21, 2017 as a home favorite
230 14.2 -0.9 5 8 38.5 The Brewers are 5-8-1 AGAINST since May 05, 2018
100 83.3 -5.0 0 1 0.0 The Brewers are 0-1 AGAINST since May 20, 2018 on the road
2128 12.9 0.8 84 58 59.2 The Brewers are 84-58-9 ON since May 18, 2011 as a road 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).