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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 122 41 74.8 The Thunder are 122-41 ATS (7.00 ppg) as a favorite after playing as a road favorite - since Jan 26, 2009.
0.000000 71 14 83.5 The Thunder are 71-14 ATS (10.00 ppg) as a home favorite after playing as a road favorite - since Nov 29, 2010.
0.000000 73 16 82.0 The Thunder are 73-16 ATS (9.00 ppg) at home after playing as a road favorite - since Nov 29, 2010.
0.000000 77 18 81.1 The Thunder are 77-18 ATS (9.00 ppg) as a favorite off a game as a favorite off a loss - since Jan 26, 2009.
0.000000 113 43 72.4 The Thunder are 113-43 ATS (7.00 ppg) as a favorite off a road game off a win - since Nov 27, 2009.
0.000000 69 18 79.3 The Thunder are 69-18 ATS (10.00 ppg) as a home favorite off a road game off a win - since Nov 17, 2010.
0.000000 48 9 84.2 The Thunder are 48-9 ATS (11.00 ppg) as a home favorite after playing as a road favorite off a win - since Dec 29, 2011.
0.000000 51 11 82.3 The Thunder are 51-11 ATS (10.00 ppg) at home after playing as a road favorite off a win - since Jan 08, 2011.
0.000000 34 90 27.4 The Thunder are 34-90 ATS (-6.00 ppg) as a dog off a game as a dog - since Nov 07, 2008.
0.000000 19 64 22.9 The Thunder are 19-64 ATS (-8.00 ppg) as a road dog off a game as a dog - since Nov 07, 2008.
0.000001 50 12 80.6 The Thunder are 50-12 ATS (8.00 ppg) as a favorite after playing as a road favorite off a win - since Mar 08, 2013.
0.000001 48 11 81.4 The Thunder are 48-11 ATS (9.00 ppg) as a home favorite off a game as a favorite off a loss - since Jan 26, 2009.
0.000002 40 94 29.9 The Thunder are 40-94 ATS (-6.00 ppg) as a dog off a home game - since Nov 01, 2008.
0.000003 30 77 28.0 The Thunder are 30-77 ATS (-7.00 ppg) as a road dog off a home game - since Nov 01, 2008.
0.000004 36 7 83.7 The Thunder are 36-7 ATS (8.00 ppg) as a favorite after playing as a road favorite off a loss - since Nov 29, 2010.
0.000005 27 71 27.6 The Thunder are 27-71 ATS (-6.00 ppg) as a road dog off a loss - since Nov 01, 2008.
0.000009 14 48 22.6 The Thunder are 14-48 ATS (-7.00 ppg) as a road dog off a game as a dog off a loss - since Nov 07, 2008.
0.000017 50 16 75.8 The Thunder are 50-16 ATS (6.00 ppg) as a favorite after playing as a road dog off a loss - since Nov 02, 2008.
0.000035 6 30 16.7 The Thunder are 6-30 ATS (-7.00 ppg) as a dog off a home game off a loss - since Feb 20, 2009.
0.000056 28 66 29.8 The Thunder are 28-66 ATS (-5.00 ppg) as a dog after playing as a home favorite - since Nov 01, 2008.
0.000058 7 31 18.4 The Thunder are 7-31 ATS (-8.00 ppg) as a road dog off a home game off a loss - since Nov 01, 2008.
0.000071 53 20 72.6 The Thunder are 53-20 ATS (6.00 ppg) as a road favorite off a home game off a win - since Oct 29, 2010.
0.000139 3 21 12.5 The Thunder are 3-21 ATS (-13.00 ppg) as a road dog after playing as a home dog - since Nov 07, 2008.
0.000156 29 7 80.6 The Thunder are 29-7 ATS (9.00 ppg) as a road favorite off a game as a favorite off a loss - since Mar 19, 2010.
0.000376 25 56 30.9 The Thunder are 25-56 ATS (-5.00 ppg) as a road dog after playing as a home favorite - since Nov 01, 2008.
0.000428 19 3 86.4 The Thunder are 19-3 ATS (10.00 ppg) as a home favorite after playing as a road favorite off a loss - since Feb 17, 2012.
0.000757 22 5 81.5 The Thunder are 22-5 ATS (8.00 ppg) at home after playing as a road favorite off a loss - since Nov 29, 2010.

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).