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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 76 219 25.8 The Hawks are 76-219 ATS (-7.00 ppg) since Nov 14, 1999 on the road off a game as a dog off a loss
0.000000 206 70 74.6 The Hawks are 206-70 ATS (6.00 ppg) since Jan 11, 1996 as a favorite off a home game off a win
0.000000 37 143 20.6 The Hawks are 37-143 ATS (-8.00 ppg) since Nov 22, 1995 as a road dog after playing as a road dog off a loss
0.000000 81 205 28.3 The Hawks are 81-205 ATS (-6.00 ppg) since Apr 07, 1999 on the road after playing as a road dog
0.000000 159 54 74.6 The Hawks are 159-54 ATS (5.00 ppg) since Jan 15, 1996 as a home favorite after playing as a home favorite
0.000000 144 46 75.8 The Hawks are 144-46 ATS (6.00 ppg) since Jan 15, 1996 as a home favorite off a home game off a win
0.000000 57 155 26.9 The Hawks are 57-155 ATS (-6.00 ppg) since Nov 14, 1999 on the road after playing as a road dog off a loss
0.000000 14 62 18.4 The Hawks are 14-62 ATS (-11.00 ppg) since Mar 06, 2000 as a road dog after playing as a home dog off a loss
0.000359 36 12 75.0 The Hawks are 36-12 ATS (5.00 ppg) since Dec 16, 1995 as a favorite after playing as a home dog off a loss

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).