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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 730 259 73.8 The Lakers are 730-259 ATS (6.00 ppg) since Dec 01, 1995 as a favorite off a game as a favorite.
0.000000 290 93 75.7 The Lakers are 290-93 ATS (6.00 ppg) since Jan 26, 1996 as a favorite after playing as a road favorite.
0.000000 160 33 82.9 The Lakers are 160-33 ATS (9.00 ppg) since Jan 30, 1996 as a home favorite after playing as a road favorite.
0.000000 165 40 80.5 The Lakers are 165-40 ATS (8.00 ppg) since Jan 30, 1996 at home after playing as a road favorite.
0.000000 161 40 80.1 The Lakers are 161-40 ATS (9.00 ppg) since Nov 15, 1995 as a home favorite off a road game off a win.
0.000000 330 155 68.0 The Lakers are 330-155 ATS (4.00 ppg) since Jan 26, 1996 after playing as a road favorite.
0.000000 108 21 83.7 The Lakers are 108-21 ATS (10.00 ppg) since Jan 30, 1996 as a home favorite after playing as a road favorite off a win.
0.000000 170 57 74.9 The Lakers are 170-57 ATS (7.00 ppg) since Nov 15, 1995 at home off a road game off a win.
0.000000 111 26 81.0 The Lakers are 111-26 ATS (9.00 ppg) since Jan 30, 1996 at home after playing as a road favorite off a win.
0.000000 269 134 66.7 The Lakers are 269-134 ATS (3.00 ppg) since Nov 17, 1995 as a road favorite off a game as a favorite.
0.000364 17 2 89.5 The Lakers are 17-2 ATS (8.00 ppg) since Mar 31, 2019 on the road off a home game.
0.001175 15 2 88.2 The Lakers are 15-2 ATS (7.00 ppg) since Nov 01, 2019 on the road after playing as a home favorite.

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).