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 265 733 26.6 The Timberwolves are 265-733 ATS (-7.00 ppg) since Nov 11, 1995 as a dog
0.000000 172 495 25.8 The Timberwolves are 172-495 ATS (-8.00 ppg) since Nov 03, 1995 as a road dog
0.000000 91 310 22.7 The Timberwolves are 91-310 ATS (-8.00 ppg) since Dec 20, 1995 as a road dog off a game as a dog
0.000000 90 306 22.7 The Timberwolves are 90-306 ATS (-8.00 ppg) since Nov 15, 1995 as a dog after playing as a road dog
0.000000 119 356 25.1 The Timberwolves are 119-356 ATS (-7.00 ppg) since Dec 12, 2005 on the road
0.000000 39 202 16.2 The Timberwolves are 39-202 ATS (-9.00 ppg) since Mar 10, 2006 as a dog off a road game off a loss
0.000000 54 193 21.9 The Timberwolves are 54-193 ATS (-8.00 ppg) since Dec 20, 1995 as a road dog after playing as a road dog
0.000000 26 127 17.0 The Timberwolves are 26-127 ATS (-9.00 ppg) since Apr 16, 2006 as a home dog off a game as a dog off a loss
0.000000 40 152 20.8 The Timberwolves are 40-152 ATS (-9.00 ppg) since Dec 20, 1995 as a road dog after playing as a road dog off a loss
0.000000 19 101 15.8 The Timberwolves are 19-101 ATS (-9.00 ppg) since Mar 30, 2007 as a home dog off a road game
0.000000 13 83 13.5 The Timberwolves are 13-83 ATS (-9.00 ppg) since Apr 16, 2006 as a home dog off a road game off a loss
0.000000 18 93 16.2 The Timberwolves are 18-93 ATS (-9.00 ppg) since Mar 30, 2007 as a home dog after playing as a road dog
0.000000 80 202 28.4 The Timberwolves are 80-202 ATS (-6.00 ppg) since May 16, 2004 on the road off a home game
0.000000 12 79 13.2 The Timberwolves are 12-79 ATS (-9.00 ppg) since Apr 16, 2006 as a home dog after playing as a road dog off a loss
0.000000 13 67 16.2 The Timberwolves are 13-67 ATS (-9.00 ppg) since Jan 08, 2001 as a road dog off a game as a dog off a win
0.000000 26 92 22.0 The Timberwolves are 26-92 ATS (-8.00 ppg) since Jan 08, 2001 as a dog off a game as a dog off a win
0.000000 47 126 27.2 The Timberwolves are 47-126 ATS (-7.00 ppg) since Dec 01, 1995 as a road dog off a home game off a win
0.000000 56 124 31.1 The Timberwolves are 56-124 ATS (-6.00 ppg) since Nov 11, 1995 as a road dog after playing as a home favorite
0.000001 39 95 29.1 The Timberwolves are 39-95 ATS (-7.00 ppg) since Jan 05, 1996 as a dog off a road game off a win
0.000001 17 58 22.7 The Timberwolves are 17-58 ATS (-8.00 ppg) since Apr 19, 2006 as a home dog after playing as a home dog
0.000009 14 48 22.6 The Timberwolves are 14-48 ATS (-8.00 ppg) since Apr 19, 2006 as a home dog after playing as a home dog off a loss
0.000014 3 25 10.7 The Timberwolves are 3-25 ATS (-10.00 ppg) since Feb 11, 2011 as a dog after playing as a road dog off a win
0.000015 41 89 31.5 The Timberwolves are 41-89 ATS (-5.00 ppg) since Dec 11, 2004 on the road after playing as a home favorite
0.000029 104 53 66.2 The Timberwolves are 104-53 ATS (5.00 ppg) since Apr 08, 1996 as a home favorite off a game as a dog off a loss
0.000030 26 4 86.7 The Timberwolves are 26-4 ATS (10.00 ppg) since Dec 29, 2012 as a home favorite off a home game off a loss
0.000035 40 85 32.0 The Timberwolves are 40-85 ATS (-6.00 ppg) since Dec 01, 1995 as a road dog after playing as a home favorite off a win
0.000085 9 34 20.9 The Timberwolves are 9-34 ATS (-8.00 ppg) since Jan 08, 2001 as a road dog after playing as a road dog off a win
0.000136 9 33 21.4 The Timberwolves are 9-33 ATS (-8.00 ppg) since Jan 25, 1997 as a dog after playing as a road favorite off a win

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