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NHL Trends SDB Home    NHL Trends    NHL 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 active on filter on
Trends from SDB's sample ml against,SDB's sample ml against
$ ROI wins losses % link
2063 7.5 140 133 51.3 The Panthers are 140-133 AGAINST since Mar 24, 2007 as a favorite
1679 10.3 60 77 43.8 The Panthers are 60-77 AGAINST since Feb 06, 2016
1070 27.8 14 22 38.9 The Panthers are 14-22 AGAINST since Dec 22, 2016 at home
940 38.9 9 15 37.5 The Panthers are 9-15 AGAINST since Dec 23, 2016 as a home favorite
730 21.9 6 16 27.3 The Panthers are 6-16 AGAINST since Mar 11, 2017 as a dog
678 56.3 3 9 25.0 The Panthers are 3-9 AGAINST since Apr 07, 2016 as a road favorite
665 22.7 5 14 26.3 The Panthers are 5-14 AGAINST since Mar 02, 2017 on the road
530 35.2 3 9 25.0 The Panthers are 3-9 AGAINST since Feb 18, 2016 as a home dog

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).