S p o r t s D a t a b a s e . c o m
tools for the objective handicapper

MLB Trends

Trends from SDB's sample ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on


$	ROI	Margin	wins	losses	%	link
2276	9.0	-0.0	93	123	43.1	The Phillies are 93-123-14 AGAINST since Jun 08, 2017 as a dog.
1550	12.2	0.3	43	62	41.0	The Phillies are 43-62-11 AGAINST since Jun 18, 2016 as a home dog.
1241	12.0	-0.3	38	53	41.8	The Phillies are 38-53-4 AGAINST since May 31, 2018 as a road dog.
290	30.3	0.2	3	6	33.3	The Phillies are 3-6 AGAINST since Sep 19, 2020.
200	91.7	-2.5	0	2	0.0	The Phillies are 0-2 AGAINST since Sep 19, 2020 at home.
200	87.0	-1.8	0	2	0.0	The Phillies are 0-2 AGAINST since Sep 26, 2020 on the road.
190	29.5	1.0	2	4	33.3	The Phillies are 2-4 AGAINST since Sep 20, 2020 as a favorite.
100	87.0	-0.5	0	1	0.0	The Phillies are 0-1 AGAINST since Sep 20, 2020 as a home favorite.
100	83.3	-2.5	0	1	0.0	The Phillies are 0-1 AGAINST since Sep 27, 2020 as a road favorite.
1277	21.5	2.1	33	18	64.7	The Phillies are 33-18-2 ON since Aug 25, 2018 as a road favorite.
950	23.9	2.8	23	12	65.7	The Phillies are 23-12 ON since Aug 10, 2020 as a favorite.

Trend Parameters: active, english, invested, losses, margin, profit, pushes, 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

e-mail links: Content@SportsDataBase.com Support@SportsDataBase.com

Content for this site is generated using the Sports Data Query Language (SDQL).