A crowd-sourced stats provider.
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 53 186 22.2 The Hornets are 53-186 ATS (-10.00 ppg) since Nov 12, 2004 as a road dog off a road game.
0.000000 56 154 26.7 The Hornets are 56-154 ATS (-7.00 ppg) since Nov 09, 2005 as a dog off a game as a favorite.
0.000000 34 114 23.0 The Hornets are 34-114 ATS (-8.00 ppg) since Nov 25, 2005 as a road dog off a game as a favorite.
0.000000 48 138 25.8 The Hornets are 48-138 ATS (-8.00 ppg) since Nov 10, 2004 as a road dog off a win.
0.000000 47 127 27.0 The Hornets are 47-127 ATS (-7.00 ppg) since Nov 09, 2005 as a dog after playing as a home favorite.
0.000000 29 95 23.4 The Hornets are 29-95 ATS (-8.00 ppg) since Nov 25, 2005 as a road dog after playing as a home favorite.
0.000000 34 100 25.4 The Hornets are 34-100 ATS (-7.00 ppg) since Nov 25, 2005 as a dog off a game as a favorite off a win.
0.000000 21 76 21.6 The Hornets are 21-76 ATS (-8.00 ppg) since Nov 30, 2004 as a road dog off a game as a favorite off a win.
0.000000 35 97 26.5 The Hornets are 35-97 ATS (-7.00 ppg) since Nov 10, 2004 as a road dog off a home game off a win.
0.000000 140 65 68.3 The Hornets are 140-65 ATS (5.00 ppg) since Nov 27, 2004 as a favorite off a road game.
0.000000 19 67 22.1 The Hornets are 19-67 ATS (-8.00 ppg) since Nov 30, 2004 as a road dog after playing as a home favorite off a win.
0.000000 30 85 26.1 The Hornets are 30-85 ATS (-6.00 ppg) since Nov 25, 2005 as a dog after playing as a home favorite off a win.
0.000000 57 126 31.1 The Hornets are 57-126 ATS (-6.00 ppg) since Nov 25, 2005 on the road off a game as a favorite.
0.000000 134 63 68.0 The Hornets are 134-63 ATS (4.00 ppg) since Nov 27, 2004 as a favorite off a loss.
0.000000 44 105 29.5 The Hornets are 44-105 ATS (-6.00 ppg) since Nov 25, 2005 on the road after playing as a home favorite.
0.000001 108 47 69.7 The Hornets are 108-47 ATS (4.00 ppg) since Nov 27, 2004 as a home favorite off a loss.
0.000002 143 74 65.9 The Hornets are 143-74 ATS (4.00 ppg) since Nov 27, 2004 as a favorite off a game as a dog.
0.000003 42 95 30.7 The Hornets are 42-95 ATS (-5.00 ppg) since Nov 16, 2004 as a home dog off a home game.
0.000005 113 55 67.3 The Hornets are 113-55 ATS (4.00 ppg) since Nov 27, 2004 as a home favorite off a game as a dog.
0.000005 40 9 81.6 The Hornets are 40-9 ATS (9.00 ppg) since Jan 31, 2016 as a favorite after playing as a road dog.
0.000006 108 52 67.5 The Hornets are 108-52 ATS (4.00 ppg) since Nov 27, 2004 as a home favorite off a road game.
0.000016 39 86 31.2 The Hornets are 39-86 ATS (-6.00 ppg) since Nov 30, 2004 on the road off a game as a favorite off a win.
0.000020 32 75 29.9 The Hornets are 32-75 ATS (-6.00 ppg) since Nov 30, 2004 on the road after playing as a home favorite off a win.
0.000027 80 36 69.0 The Hornets are 80-36 ATS (5.00 ppg) since Apr 14, 2007 as a favorite off a road game off a loss.
0.000027 100 50 66.7 The Hornets are 100-50 ATS (4.00 ppg) since Nov 27, 2004 as a favorite off a game as a dog off a loss.
0.000033 21 2 91.3 The Hornets are 21-2 ATS (10.00 ppg) since Dec 20, 2016 as a home favorite after playing as a road dog.
0.000058 29 6 82.9 The Hornets are 29-6 ATS (9.00 ppg) since Jan 31, 2016 as a favorite after playing as a road dog off a loss.
0.000072 1 17 5.6 The Hornets are 1-17 ATS (-13.00 ppg) since Feb 27, 2015 as a road dog off a road game 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
e-mail links:   Content@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).