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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 ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI wins losses % link
2400 21.2 42 60 41.2 The Lightning are 42-60-11 AGAINST since Mar 10, 2015 on the road
1700 23.9 27 40 40.3 The Lightning are 27-40-4 AGAINST since Feb 03, 2015 as a road dog
910 21.7 14 21 40.0 The Lightning are 14-21-7 AGAINST since Mar 31, 2015 as a road favorite
650 26.0 10 15 40.0 The Lightning are 10-15 AGAINST since Dec 17, 2016 as a dog
9980 10.6 468 415 53.0 The Lightning are 468-415-56 ON since Oct 21, 2006
5820 15.8 192 153 55.7 The Lightning are 192-153-24 ON since Jan 17, 2009 at home
4070 12.1 167 143 53.9 The Lightning are 167-143-27 ON since Feb 04, 2010 as a favorite
3710 14.4 131 107 55.0 The Lightning are 131-107-20 ON since Feb 04, 2010 as a home favorite
2500 29.8 50 30 62.5 The Lightning are 50-30-4 ON since Jan 19, 2009 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).