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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 634 222 74.1 The Heat are 634-222 ATS (6.00 ppg) since Feb 05, 1996 as a home favorite.
0.000000 417 133 75.8 The Heat are 417-133 ATS (7.00 ppg) since Feb 05, 1996 as a home favorite off a game as a favorite.
0.000000 373 127 74.6 The Heat are 373-127 ATS (6.00 ppg) since Feb 25, 1996 as a home favorite off a win.
0.000000 717 359 66.6 The Heat are 717-359 ATS (4.00 ppg) since Nov 04, 1995 at home.
0.000000 302 96 75.9 The Heat are 302-96 ATS (7.00 ppg) since Mar 08, 1996 as a home favorite off a game as a favorite off a win.
0.000000 353 135 72.3 The Heat are 353-135 ATS (6.00 ppg) since Feb 01, 1996 as a favorite off a loss.
0.000000 304 108 73.8 The Heat are 304-108 ATS (6.00 ppg) since Nov 30, 1996 as a home favorite off a road game.
0.000000 110 238 31.6 The Heat are 110-238 ATS (-5.00 ppg) since Dec 26, 1999 as a dog off a win.
0.000013 59 21 73.8 The Heat are 59-21 ATS (6.00 ppg) since Apr 10, 1996 as a road favorite off a game as a favorite off a loss.
0.000013 36 8 81.8 The Heat are 36-8 ATS (8.00 ppg) since Mar 29, 2002 as a home favorite after playing as a road favorite off a loss.
0.000031 15 0 100.0 The Heat are 15-0 ATS (15.00 ppg) since Apr 09, 2019 at home off a road game.
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.
0.000072 17 1 94.4 The Heat are 17-1 ATS (13.00 ppg) since Feb 27, 2019 at home off a loss.
0.000080 44 88 33.3 The Heat are 44-88 ATS (-4.00 ppg) since Dec 10, 1995 as a road dog off a road game off a win.
0.000137 16 1 94.1 The Heat are 16-1 ATS (13.00 ppg) since Mar 02, 2019 as a home 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.

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).