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NBA Trends SDB Home    NBA Trends    NBA Query
Include trends from SDB's sample ats SDB's sample ou SDB's sample su guest's web all active on filter on
Trends from SDB's sample su,SDB's sample su
p val wins losses % link
0.000000 109 279 28.1 The Pelicans are 109-279 ATS (-7.00 ppg) since Feb 21, 2004 as a dog off a home game.
0.000000 83 192 30.2 The Pelicans are 83-192 ATS (-6.00 ppg) since Jan 16, 1998 as a dog after playing as a road dog off a loss.
0.000000 56 140 28.6 The Pelicans are 56-140 ATS (-6.00 ppg) since Dec 29, 2003 as a dog off a home game off a win.
0.000000 88 30 74.6 The Pelicans are 88-30 ATS (6.00 ppg) since Mar 22, 1997 as a favorite after playing as a road favorite.
0.000000 64 19 77.1 The Pelicans are 64-19 ATS (7.00 ppg) since Mar 22, 1997 as a home favorite after playing as a road favorite.
0.000003 107 185 36.6 The Pelicans are 107-185 ATS (-4.00 ppg) since Nov 20, 1999 as a home dog.
0.000254 28 7 80.0 The Pelicans are 28-7 ATS (7.00 ppg) since Jan 05, 2001 as a favorite after playing as a road favorite off a loss.
0.000267 6 26 18.8 The Pelicans are 6-26 ATS (-9.00 ppg) since Dec 07, 2015 as a home dog off a win.
0.000359 36 12 75.0 The Pelicans are 36-12 ATS (5.00 ppg) since Apr 03, 2007 as a road favorite off a game as a favorite off a win.
0.000410 27 7 79.4 The Pelicans are 27-7 ATS (7.00 ppg) since Nov 11, 1995 as a home favorite after playing as a road favorite off a loss.
0.000545 19 46 29.2 The Pelicans are 19-46 ATS (-8.00 ppg) since Jan 23, 2005 as a dog after playing as a home dog off a win.
0.001709 1 12 7.7 The Pelicans are 1-12 ATS (-11.00 ppg) since Feb 19, 2013 as a home dog after playing as a home favorite off a win.

Trend Parameters: active, english, losses, margin, pushes, pval, 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).