Note: This site will be discontinued as of September 1, 2021.
SDQL3 access will continue with user input data at http://s3.sportsdatabase.com.

Information you need to win.
S p o r t s D a t a b a s e . c o m
tools for the objective handicapper


name
password


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 137 409 25.1 The Clippers are 137-409 ATS (-7.00 ppg) since Nov 19, 1995 as a dog off a home game.
0.000000 321 100 76.2 The Clippers are 321-100 ATS (7.00 ppg) since Jan 21, 2004 as a favorite off a home game.
0.000000 269 79 77.3 The Clippers are 269-79 ATS (7.00 ppg) since Jan 23, 2004 as a favorite after playing as a home favorite.
0.000000 247 77 76.2 The Clippers are 247-77 ATS (7.00 ppg) since Jan 07, 1996 as a favorite off a home game off a win.
0.000000 202 58 77.7 The Clippers are 202-58 ATS (7.00 ppg) since Jan 23, 2004 as a favorite after playing as a home favorite off a win.
0.000000 145 39 78.8 The Clippers are 145-39 ATS (8.00 ppg) since Jan 23, 2004 as a home favorite after playing as a home favorite off a win.
0.000000 64 185 25.7 The Clippers are 64-185 ATS (-7.00 ppg) since Feb 13, 1997 as a dog after playing as a home favorite.
0.000000 35 131 21.1 The Clippers are 35-131 ATS (-8.00 ppg) since Dec 26, 1995 as a dog off a game as a dog off a win.
0.000000 18 89 16.8 The Clippers are 18-89 ATS (-9.00 ppg) since Dec 26, 1995 as a road dog off a game as a dog off a win.
0.000000 81 22 78.6 The Clippers are 81-22 ATS (6.00 ppg) since Feb 02, 2007 as a road favorite after playing as a home favorite.
0.000000 87 26 77.0 The Clippers are 87-26 ATS (6.00 ppg) since Feb 02, 2007 as a road favorite off a home game.
0.000000 74 19 79.6 The Clippers are 74-19 ATS (8.00 ppg) since Dec 26, 2010 as a favorite off a home game off a loss.
0.000000 179 88 67.0 The Clippers are 179-88 ATS (5.00 ppg) since Mar 26, 2012 after playing as a home favorite off a win.
0.000000 13 56 18.8 The Clippers are 13-56 ATS (-8.00 ppg) since Dec 26, 1995 as a road dog after playing as a road dog off a win.
0.000000 24 76 24.0 The Clippers are 24-76 ATS (-7.00 ppg) since Dec 26, 1995 as a dog after playing as a road dog off a win.
0.000000 35 94 27.1 The Clippers are 35-94 ATS (-7.00 ppg) since Dec 26, 1995 as a road dog off a road game off a win.
0.000002 5 33 13.2 The Clippers are 5-33 ATS (-10.00 ppg) since Feb 20, 1996 as a road dog after playing as a home dog off a win.
0.000006 54 17 76.1 The Clippers are 54-17 ATS (6.00 ppg) since Nov 10, 2000 as a home favorite after playing as a home dog.
0.000035 32 7 82.1 The Clippers are 32-7 ATS (6.00 ppg) since Jan 07, 1996 as a favorite after playing as a home dog off a win.
0.000037 61 24 71.8 The Clippers are 61-24 ATS (5.00 ppg) since Nov 10, 2000 as a favorite after playing as a home dog.
0.000078 22 3 88.0 The Clippers are 22-3 ATS (9.00 ppg) since Nov 24, 2015 as a road favorite off a home game off a loss.
0.000135 89 46 65.9 The Clippers are 89-46 ATS (4.00 ppg) since Mar 19, 2011 off a home game off a loss.
0.000139 21 3 87.5 The Clippers are 21-3 ATS (9.00 ppg) since Nov 24, 2015 as a road favorite after playing as a home favorite off a loss.
0.000364 17 2 89.5 The Clippers are 17-2 ATS (8.00 ppg) since Jan 04, 2019 on the road off a home game off a loss.
0.000412 34 11 75.6 The Clippers are 34-11 ATS (5.00 ppg) since Nov 10, 2000 as a home favorite after playing as a home dog off a loss.
0.001709 12 1 92.3 The Clippers are 12-1 ATS (11.00 ppg) since Dec 21, 2019 on the road after playing as a home favorite off a loss.

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
e-mail links:   Content@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).