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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 244 93 72.4 The Trailblazers are 244-93 ATS (6.00 ppg) since Mar 08, 1996 as a home favorite after playing as a home favorite.
0.000000 104 253 29.1 The Trailblazers are 104-253 ATS (-7.00 ppg) since Jan 05, 2004 as a dog off a loss.
0.000000 76 203 27.2 The Trailblazers are 76-203 ATS (-8.00 ppg) since Apr 09, 2003 as a road dog off a game as a dog.
0.000000 253 110 69.7 The Trailblazers are 253-110 ATS (6.00 ppg) since Feb 16, 1997 as a favorite off a home game off a win.
0.000000 72 193 27.2 The Trailblazers are 72-193 ATS (-7.00 ppg) since Jan 29, 2003 as a road dog off a win.
0.000000 81 200 28.8 The Trailblazers are 81-200 ATS (-7.00 ppg) since Apr 09, 2003 as a road dog off a road game.
0.000000 108 240 31.0 The Trailblazers are 108-240 ATS (-6.00 ppg) since Mar 17, 2004 as a dog off a road game.
0.000000 221 96 69.7 The Trailblazers are 221-96 ATS (6.00 ppg) since Feb 16, 1997 as a favorite after playing as a home favorite off a win.
0.000000 172 72 70.5 The Trailblazers are 172-72 ATS (6.00 ppg) since Dec 07, 1995 as a home favorite after playing as a home favorite off a win.
0.000000 178 76 70.1 The Trailblazers are 178-76 ATS (5.00 ppg) since Feb 05, 1996 as a favorite off a road game off a win.
0.000000 61 152 28.6 The Trailblazers are 61-152 ATS (-8.00 ppg) since Apr 09, 2003 as a road dog after playing as a road dog.
0.000000 141 56 71.6 The Trailblazers are 141-56 ATS (4.00 ppg) since Jan 27, 1996 as a road favorite off a road game.
0.000000 85 184 31.6 The Trailblazers are 85-184 ATS (-7.00 ppg) since Mar 17, 2004 as a dog after playing as a road dog.
0.000000 111 43 72.1 The Trailblazers are 111-43 ATS (7.00 ppg) since Mar 15, 1996 as a home favorite off a road game off a win.
0.000000 120 50 70.6 The Trailblazers are 120-50 ATS (5.00 ppg) since Apr 03, 1998 as a home favorite after playing as a road dog.
0.000000 97 38 71.9 The Trailblazers are 97-38 ATS (6.00 ppg) since Jan 16, 1996 as a favorite off a game as a dog off a win.
0.000000 74 24 75.5 The Trailblazers are 74-24 ATS (5.00 ppg) since Jan 27, 1996 as a road favorite off a road game off a loss.
0.000010 58 20 74.4 The Trailblazers are 58-20 ATS (6.00 ppg) since Apr 07, 1998 as a favorite after playing as a road dog off a win.
0.000017 4 27 12.9 The Trailblazers are 4-27 ATS (-9.00 ppg) since Dec 21, 2003 as a road dog after playing as a home dog off a loss.
0.000020 9 37 19.6 The Trailblazers are 9-37 ATS (-8.00 ppg) since Feb 26, 2006 as a dog after playing as a home dog off a loss.
0.000026 42 12 77.8 The Trailblazers are 42-12 ATS (8.00 ppg) since Mar 02, 1999 as a home favorite after playing as a road dog off a win.
0.000029 52 18 74.3 The Trailblazers are 52-18 ATS (5.00 ppg) since Dec 23, 2008 as a home favorite after playing as a road dog off a loss.
0.000044 46 15 75.4 The Trailblazers are 46-15 ATS (4.00 ppg) since Nov 17, 2001 as a road favorite off a road game off a win.
0.000050 14 44 24.1 The Trailblazers are 14-44 ATS (-9.00 ppg) since Nov 18, 1995 as a road dog after playing as a home favorite off a loss.
0.000076 48 17 73.8 The Trailblazers are 48-17 ATS (4.00 ppg) since Feb 14, 2005 as a road favorite off a game as a dog.
0.000093 25 60 29.4 The Trailblazers are 25-60 ATS (-7.00 ppg) since Nov 08, 1995 as a road dog off a game as a favorite off a loss.
0.000133 62 27 69.7 The Trailblazers are 62-27 ATS (3.00 ppg) since Jan 27, 1996 as a road favorite after playing as a road dog.

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
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Content for this site is generated using the Sports Data Query Language (SDQL).