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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 wins losses % link
3018 15.8 65 102 38.9 The Blue Jays are 65-102-6 against since Oct 21, 2015
2245 24.4 27 53 33.8 The Blue Jays are 27-53-3 against since Apr 05, 2016 on the road
2225 10.3 80 110 42.1 The Blue Jays are 80-110-5 against since Jun 01, 2014 as a home favorite
1818 12.1 55 79 41.0 The Blue Jays are 55-79-1 against since Oct 21, 2015 as a favorite
1345 25.0 14 29 32.6 The Blue Jays are 14-29-6 against since Jul 06, 2015 as a dog
1330 43.3 6 20 23.1 The Blue Jays are 6-20-2 against since Apr 05, 2016 as a road dog
1088 15.9 24 37 39.3 The Blue Jays are 24-37-1 against since May 29, 2016 at home
1015 16.5 21 34 38.2 The Blue Jays are 21-34 against since Oct 23, 2015 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).