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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 193 549 26.0 The Hornets are 193-549 ATS (-7.00 ppg) since Nov 10, 2004 as a dog
0.000000 135 401 25.2 The Hornets are 135-401 ATS (-8.00 ppg) since Nov 10, 2004 as a dog off a game as a dog
0.000000 96 311 23.6 The Hornets are 96-311 ATS (-8.00 ppg) since Nov 12, 2004 as a dog off a game as a dog off a loss
0.000000 150 391 27.7 The Hornets are 150-391 ATS (-7.00 ppg) since Nov 10, 2004 on the road
0.000000 72 254 22.1 The Hornets are 72-254 ATS (-10.00 ppg) since Nov 10, 2004 as a road dog off a game as a dog
0.000000 63 237 21.0 The Hornets are 63-237 ATS (-10.00 ppg) since Nov 12, 2004 as a road dog off a loss
0.000000 50 198 20.2 The Hornets are 50-198 ATS (-10.00 ppg) since Nov 12, 2004 as a road dog off a game as a dog off a loss
0.000000 93 271 25.5 The Hornets are 93-271 ATS (-8.00 ppg) since Nov 10, 2004 on the road off a game as a dog
0.000000 90 258 25.9 The Hornets are 90-258 ATS (-8.00 ppg) since Dec 07, 2004 as a dog off a road game
0.000000 64 211 23.3 The Hornets are 64-211 ATS (-9.00 ppg) since Nov 12, 2004 on the road off a game as a dog off a loss
0.000000 82 234 25.9 The Hornets are 82-234 ATS (-8.00 ppg) since Dec 07, 2004 as a dog after playing as a road dog
0.000000 67 201 25.0 The Hornets are 67-201 ATS (-8.00 ppg) since Dec 07, 2004 as a dog off a road game off a loss
0.000000 62 189 24.7 The Hornets are 62-189 ATS (-8.00 ppg) since Dec 07, 2004 as a dog after playing as a road dog off a loss
0.000000 49 164 23.0 The Hornets are 49-164 ATS (-10.00 ppg) since Nov 12, 2004 as a road dog off a road game
0.000000 48 162 22.9 The Hornets are 48-162 ATS (-8.00 ppg) since Nov 16, 2004 as a dog off a home game off a loss
0.000000 44 149 22.8 The Hornets are 44-149 ATS (-10.00 ppg) since Nov 12, 2004 as a road dog after playing as a road dog
0.000000 37 131 22.0 The Hornets are 37-131 ATS (-10.00 ppg) since Nov 12, 2004 as a road dog off a road game off a loss
0.000000 25 105 19.2 The Hornets are 25-105 ATS (-10.00 ppg) since Jan 01, 2005 as a road dog off a home game off a loss
0.000000 34 122 21.8 The Hornets are 34-122 ATS (-10.00 ppg) since Nov 12, 2004 as a road dog after playing as a road dog off a loss
0.000000 29 112 20.6 The Hornets are 29-112 ATS (-9.00 ppg) since Jan 01, 2005 on the road off a home game off a loss
0.000000 73 175 29.4 The Hornets are 73-175 ATS (-6.00 ppg) since Nov 10, 2004 as a dog off a win
0.000000 18 81 18.2 The Hornets are 18-81 ATS (-10.00 ppg) since Nov 20, 2004 on the road after playing as a home dog off a loss
0.000000 16 76 17.4 The Hornets are 16-76 ATS (-10.00 ppg) since Nov 20, 2004 as a road dog after playing as a home dog off a loss
0.000001 30 81 27.0 The Hornets are 30-81 ATS (-6.00 ppg) since Nov 25, 2005 as a dog off a game as a favorite off a win
0.000073 98 51 65.8 The Hornets are 98-51 ATS (3.00 ppg) since Nov 27, 2004 as a home favorite off a game as a dog
0.000092 23 57 28.8 The Hornets are 23-57 ATS (-8.00 ppg) since Dec 26, 2004 as a dog off a road game off a win
0.000291 89 48 65.0 The Hornets are 89-48 ATS (3.00 ppg) since Nov 27, 2004 as a home favorite off a road game
0.000364 2 17 10.5 The Hornets are 2-17 ATS (-10.00 ppg) since Nov 27, 2013 as a dog after playing as a home favorite off a loss
0.001158 6 23 20.7 The Hornets are 6-23 ATS (-9.00 ppg) since Feb 10, 2008 as a road dog after playing as a home favorite off a loss
0.001188 85 49 63.4 The Hornets are 85-49 ATS (4.00 ppg) since Nov 27, 2004 as a favorite after playing as a road dog

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).