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

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).