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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 63 239 20.9 The Clippers are 63-239 ATS (-8.00 ppg) as a road dog off a home game - since Nov 19, 1995.
0.000000 41 135 23.3 The Clippers are 41-135 ATS (-8.00 ppg) as a dog after playing as a home dog off a loss - since Nov 15, 1996.
0.000000 22 91 19.5 The Clippers are 22-91 ATS (-9.00 ppg) on the road after playing as a home dog off a loss - since Nov 28, 1995.
0.000000 151 59 71.9 The Clippers are 151-59 ATS (5.00 ppg) as a home favorite off a loss - since Nov 10, 2000.
0.000000 21 84 20.0 The Clippers are 21-84 ATS (-9.00 ppg) as a road dog after playing as a home dog off a loss - since Nov 28, 1995.
0.000000 25 0 100.0 The Clippers are 25-0 ATS (14.00 ppg) as a home favorite off a home game off a loss - since Nov 28, 2012.
0.000000 26 1 96.3 The Clippers are 26-1 ATS (13.00 ppg) at home off a home game off a loss - since Nov 07, 2012.
0.000000 21 0 100.0 The Clippers are 21-0 ATS (14.00 ppg) as a home favorite after playing as a home favorite off a loss - since Nov 28, 2012.
0.000002 38 7 84.4 The Clippers are 38-7 ATS (9.00 ppg) as a home favorite off a game as a favorite off a loss - since Mar 19, 2011.
0.000002 44 10 81.5 The Clippers are 44-10 ATS (9.00 ppg) as a favorite off a home game off a loss - since Dec 26, 2010.
0.000002 28 3 90.3 The Clippers are 28-3 ATS (10.00 ppg) at home after playing as a home favorite off a loss - since Nov 22, 2010.
0.000004 32 5 86.5 The Clippers are 32-5 ATS (10.00 ppg) as a favorite after playing as a home favorite off a loss - since Mar 14, 2012.
0.000006 89 39 69.5 The Clippers are 89-39 ATS (5.00 ppg) as a home favorite off a game as a dog off a loss - since Nov 10, 2000.
0.000006 13 47 21.7 The Clippers are 13-47 ATS (-7.00 ppg) as a road dog after playing as a road dog off a win - since Dec 26, 1995.
0.000010 53 17 75.7 The Clippers are 53-17 ATS (6.00 ppg) as a home favorite after playing as a road favorite - since Feb 28, 1997.
0.000011 5 30 14.3 The Clippers are 5-30 ATS (-10.00 ppg) as a road dog after playing as a home dog off a win - since Feb 20, 1996.
0.000011 42 11 79.2 The Clippers are 42-11 ATS (9.00 ppg) as a home favorite off a road game off a win - since Apr 07, 2012.
0.000014 23 62 27.1 The Clippers are 23-62 ATS (-6.00 ppg) as a dog after playing as a road dog off a win - since Dec 26, 1995.
0.000021 91 43 67.9 The Clippers are 91-43 ATS (4.00 ppg) as a favorite after playing as a road dog off a loss - since Mar 23, 1997.
0.000035 129 72 64.2 The Clippers are 129-72 ATS (3.00 ppg) as a favorite off a game as a dog off a loss - since Mar 14, 1996.
0.000049 37 10 78.7 The Clippers are 37-10 ATS (7.00 ppg) as a home favorite after playing as a road favorite off a win - since Feb 28, 1997.
0.000097 49 18 73.1 The Clippers are 49-18 ATS (4.00 ppg) as a road favorite off a home game off a win - since Jan 07, 1996.
0.000102 44 15 74.6 The Clippers are 44-15 ATS (5.00 ppg) as a home favorite after playing as a home dog - since Nov 10, 2000.
0.000359 36 12 75.0 The Clippers are 36-12 ATS (5.00 ppg) as a road favorite after playing as a home favorite off a win - since Feb 02, 2007.
0.000455 4 21 16.0 The Clippers are 4-21 ATS (-10.00 ppg) as a home dog after playing as a home dog off a win - since Jan 27, 1996.
0.000471 32 10 76.2 The Clippers are 32-10 ATS (8.00 ppg) at home after playing as a road favorite off a win - since Apr 07, 2012.

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).