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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 14 77 15.4 The Lakers are 14-77 ATS (-13.00 ppg) since Apr 07, 2012 as a road dog off a home game
0.000000 17 83 17.0 The Lakers are 17-83 ATS (-12.00 ppg) since Apr 26, 2012 on the road off a home game
0.000000 14 69 16.9 The Lakers are 14-69 ATS (-11.00 ppg) since Feb 17, 2002 as a road dog off a home game off a loss
0.000000 15 71 17.4 The Lakers are 15-71 ATS (-12.00 ppg) since Nov 11, 1995 as a road dog after playing as a home dog
0.000000 11 62 15.1 The Lakers are 11-62 ATS (-13.00 ppg) since Jan 09, 2007 on the road after playing as a home dog
0.000000 153 64 70.5 The Lakers are 153-64 ATS (4.00 ppg) since Dec 25, 1996 as a road favorite off a road game
0.000000 9 52 14.8 The Lakers are 9-52 ATS (-12.00 ppg) since Apr 06, 2011 on the road off a home game off a loss
0.000000 9 45 16.7 The Lakers are 9-45 ATS (-11.00 ppg) since Feb 25, 1997 as a road dog after playing as a home dog off a loss
0.000001 13 52 20.0 The Lakers are 13-52 ATS (-12.00 ppg) since Apr 20, 2012 as a road dog off a win
0.000001 14 53 20.9 The Lakers are 14-53 ATS (-10.00 ppg) since Jun 10, 2010 as a dog off a game as a dog off a win
0.000001 4 32 11.1 The Lakers are 4-32 ATS (-14.00 ppg) since Dec 27, 2013 on the road after playing as a home dog off a loss
0.000006 53 109 32.7 The Lakers are 53-109 ATS (-6.00 ppg) since Feb 17, 2002 as a road dog off a game as a favorite
0.000012 9 38 19.1 The Lakers are 9-38 ATS (-12.00 ppg) since Jun 10, 2010 as a road dog off a game as a dog off a win
0.000013 8 36 18.2 The Lakers are 8-36 ATS (-11.00 ppg) since Nov 11, 1995 as a dog after playing as a home dog off a win
0.000015 20 57 26.0 The Lakers are 20-57 ATS (-10.00 ppg) since Apr 20, 2012 on the road off a win
0.000021 7 33 17.5 The Lakers are 7-33 ATS (-13.00 ppg) since Apr 26, 2012 as a road dog off a home game off a win
0.000041 41 12 77.4 The Lakers are 41-12 ATS (6.00 ppg) since Jan 28, 1997 as a road favorite after playing as a road dog
0.000078 10 36 21.7 The Lakers are 10-36 ATS (-12.00 ppg) since Apr 26, 2012 on the road off a home game off a win
0.000088 46 16 74.2 The Lakers are 46-16 ATS (5.00 ppg) since Jan 28, 1997 as a road favorite off a game as a dog
0.000090 4 24 14.3 The Lakers are 4-24 ATS (-13.00 ppg) since Jan 09, 2007 on the road after playing as a home dog off a win
0.000099 12 39 23.5 The Lakers are 12-39 ATS (-10.00 ppg) since Feb 04, 2012 on the road off a game as a dog off a win
0.000162 5 25 16.7 The Lakers are 5-25 ATS (-11.00 ppg) since Feb 17, 2002 as a road dog after playing as a home favorite off a loss
0.000267 4 22 15.4 The Lakers are 4-22 ATS (-14.00 ppg) since Apr 26, 2012 as a road dog after playing as a home dog off a win
0.000267 26 6 81.2 The Lakers are 26-6 ATS (6.00 ppg) since Mar 04, 1997 as a road favorite off a game as a dog off a loss
0.000322 52 22 70.3 The Lakers are 52-22 ATS (4.00 ppg) since Feb 25, 1999 as a road favorite off a road game off a loss
0.000410 7 27 20.6 The Lakers are 7-27 ATS (-10.00 ppg) since Dec 21, 2013 after playing as a home dog off a win
0.000456 23 5 82.1 The Lakers are 23-5 ATS (6.00 ppg) since Mar 04, 1997 as a road favorite after playing as a road dog off a loss
0.000488 0 11 0.0 The Lakers are 0-11 ATS (-18.00 ppg) since Nov 21, 2014 as a road dog off a road game off a win
0.000656 2 16 11.1 The Lakers are 2-16 ATS (-13.00 ppg) since Nov 21, 2014 as a dog off a road game off a win
0.000745 3 18 14.3 The Lakers are 3-18 ATS (-11.00 ppg) since Apr 06, 2011 on the road after playing as a home favorite off a loss

Trend Parameters: active, english, invested, 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).