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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 22 90 19.6 The Grizzlies are 22-90 ATS (-9.00 ppg) since Nov 07, 1995 as a dog after playing as a home dog off a win.
0.000000 14 59 19.2 The Grizzlies are 14-59 ATS (-8.00 ppg) since Nov 07, 1995 as a road dog after playing as a home dog off a win.
0.000000 68 20 77.3 The Grizzlies are 68-20 ATS (6.00 ppg) since Dec 13, 2003 at home after playing as a road favorite.
0.000001 19 61 23.8 The Grizzlies are 19-61 ATS (-7.00 ppg) since Nov 07, 1995 on the road after playing as a home dog off a win.
0.000021 35 8 81.4 The Grizzlies are 35-8 ATS (5.00 ppg) since Oct 30, 2010 as a home favorite off a game as a dog off a win.
0.000488 11 0 100.0 The Grizzlies are 11-0 ATS (7.00 ppg) since Apr 15, 2013 as a road favorite off a home game off a loss.
0.001860 22 6 78.6 The Grizzlies are 22-6 ATS (5.00 ppg) since Dec 13, 2003 as a favorite after playing as a road favorite off a loss.
0.003174 11 1 91.7 The Grizzlies are 11-1 ATS (6.00 ppg) since Jan 02, 2013 as a road favorite off a game as a favorite off a loss.
0.003599 17 4 81.0 The Grizzlies are 17-4 ATS (6.00 ppg) since Dec 13, 2003 as a home favorite after playing as a road favorite off a loss.
0.003693 13 2 86.7 The Grizzlies are 13-2 ATS (4.00 ppg) since Feb 08, 2013 at home after playing as a road 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
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Content for this site is generated using the Sports Data Query Language (SDQL).