Winning picks from SDQL masters.
S p o r t s D a t a b a s e . c o m
tools for the objective handicapper


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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 active on filter on
Trends from SDB's sample ou against,SDB's sample ou against
$ ROI Margin wins losses % link
4830 4.6 0.2 505 503 50.1 The Islanders are 505-503-48 AGAINST since Nov 04, 2006
3400 14.5 0.1 98 120 45.0 The Islanders are 98-120-16 AGAINST since Jan 29, 2014 as a dog
2640 11.4 0.1 99 114 46.5 The Islanders are 99-114-19 AGAINST since Jan 31, 2014 on the road
1980 31.9 -0.2 22 38 36.7 The Islanders are 22-38-2 AGAINST since Mar 23, 2014 as a home dog
1730 33.3 -0.7 19 33 36.5 The Islanders are 19-33 AGAINST since Mar 20, 2018 at home
980 18.5 -0.2 21 28 42.9 The Islanders are 21-28-4 AGAINST since Jan 02, 2015 as a road favorite
980 35.0 -1.0 10 18 35.7 The Islanders are 10-18 AGAINST since Jan 12, 2019 as a favorite
950 20.2 -0.5 18 25 41.9 The Islanders are 18-25-4 AGAINST since Jan 25, 2018 as a road dog
530 24.1 -0.8 9 13 40.9 The Islanders are 9-13 AGAINST since Jan 03, 2019 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).