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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 on,SDB's sample ou against,SDB's sample ou on
$ ROI wins losses % link
1938 28.0 19 40 32.2 The Angels are 19-40-4 against since Jun 21, 2016 as a dog
1700 29.8 15 33 31.2 The Angels are 15-33-4 against since Aug 07, 2016
1553 26.4 17 34 33.3 The Angels are 17-34-2 against since Jun 10, 2014 as a home dog
1015 27.6 10 21 32.3 The Angels are 10-21-2 against since Jul 28, 2016 at home
890 15.0 19 30 38.8 The Angels are 19-30-5 against since Jun 06, 2016 on the road
750 16.0 15 24 38.5 The Angels are 15-24-4 against since Jun 21, 2016 as a road dog
1202 30.3 23 10 69.7 The Angels are 23-10-3 on since May 10, 2016 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).