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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 51 116 30.5 The Heat are 51-116 ATS (-6.00 ppg) since May 05, 1999 as a dog after playing as a home favorite off a win.
0.000004 55 17 76.4 The Heat are 55-17 ATS (7.00 ppg) since Mar 29, 2002 as a favorite after playing as a road favorite off a loss.
0.000010 58 20 74.4 The Heat are 58-20 ATS (6.00 ppg) since Apr 10, 1996 as a road favorite off a game as a favorite off a loss.
0.000033 2 21 8.7 The Heat are 2-21 ATS (-9.00 ppg) since Nov 20, 2001 as a home dog after playing as a home dog off a loss.
0.000091 32 8 80.0 The Heat are 32-8 ATS (7.00 ppg) since Mar 29, 2002 as a home favorite after playing as a road favorite off a loss.
0.000201 18 2 90.0 The Heat are 18-2 ATS (9.00 ppg) since Dec 30, 2002 as a favorite after playing as a home dog off a win.
0.000595 28 8 77.8 The Heat are 28-8 ATS (7.00 ppg) since Nov 19, 1996 as a road favorite after playing as a home 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).