I recently began working with the Sports Database at Killer Sports. I now have a basic understanding of the SDQL and I can manipulate the query field to test parameters the large query matrix does not provide.
I am a dogbite so I don't like betting favorites, but my hypothesis was that powerhouse GB, after a 14-point loss at home as a solid favorite, would be due for a bounce. I ran this query:
p:site = home and site = home and p:line <= -3 and line <= -6 and line >= -8.5 and p:points + 14 <= po:points and (2000 , 1) <= (season , week)
Results:
SU: 5-3-0 (1.88, 62.5%)
ATS: 1-7-0 (-5.50, 12.5%)
OU: 5-3-0 (7.12, 62.5%)
How the hell can the OU results claim a CI of 7.12 when it's just one game over .500 (4-4)? I am no statistician, but the sample size is too small to generate any confidence in my limited brain. I have no opinion on the total, but it does make me question the validity of the Sports Database and SDQL query results.
I expanded the line parameters and got an ATS result of 9-19 (-3.59, 32.1%), so I must admit that my hypothesis was bullshxt.
Faced with that result, I would only bet CHI despite my initial thoughts.
I would appreciate informed opinions of handicappers who have been working with this for several years. TIA.
I recently began working with the Sports Database at Killer Sports. I now have a basic understanding of the SDQL and I can manipulate the query field to test parameters the large query matrix does not provide.
I am a dogbite so I don't like betting favorites, but my hypothesis was that powerhouse GB, after a 14-point loss at home as a solid favorite, would be due for a bounce. I ran this query:
p:site = home and site = home and p:line <= -3 and line <= -6 and line >= -8.5 and p:points + 14 <= po:points and (2000 , 1) <= (season , week)
Results:
SU: 5-3-0 (1.88, 62.5%)
ATS: 1-7-0 (-5.50, 12.5%)
OU: 5-3-0 (7.12, 62.5%)
How the hell can the OU results claim a CI of 7.12 when it's just one game over .500 (4-4)? I am no statistician, but the sample size is too small to generate any confidence in my limited brain. I have no opinion on the total, but it does make me question the validity of the Sports Database and SDQL query results.
I expanded the line parameters and got an ATS result of 9-19 (-3.59, 32.1%), so I must admit that my hypothesis was bullshxt.
Faced with that result, I would only bet CHI despite my initial thoughts.
I would appreciate informed opinions of handicappers who have been working with this for several years. TIA.
I recently began working with the Sports Database at Killer Sports. I now have a basic understanding of the SDQL and I can manipulate the query field to test parameters the large query matrix does not provide.
I am a dogbite so I don't like betting favorites, but my hypothesis was that powerhouse GB, after a 14-point loss at home as a solid favorite, would be due for a bounce. I ran this query:
p:site = home and site = home and p:line <= -3 and line <= -6 and line >= -8.5 and p:points + 14 <= po:points and (2000 , 1) <= (season , week)
Results:
SU: 5-3-0 (1.88, 62.5%)
ATS: 1-7-0 (-5.50, 12.5%)
OU: 5-3-0 (7.12, 62.5%)
How the hell can the OU results claim a CI of 7.12 when it's just one game over .500 (4-4)? I am no statistician, but the sample size is too small to generate any confidence in my limited brain. I have no opinion on the total, but it does make me question the validity of the Sports Database and SDQL query results.
I expanded the line parameters and got an ATS result of 9-19 (-3.59, 32.1%), so I must admit that my hypothesis was bullshxt.
Faced with that result, I would only bet CHI despite my initial thoughts.
I would appreciate informed opinions of handicappers who have been working with this for several years. TIA.
I like that ...go with your gut feeling...best system going !!
I recently began working with the Sports Database at Killer Sports. I now have a basic understanding of the SDQL and I can manipulate the query field to test parameters the large query matrix does not provide.
I am a dogbite so I don't like betting favorites, but my hypothesis was that powerhouse GB, after a 14-point loss at home as a solid favorite, would be due for a bounce. I ran this query:
p:site = home and site = home and p:line <= -3 and line <= -6 and line >= -8.5 and p:points + 14 <= po:points and (2000 , 1) <= (season , week)
Results:
SU: 5-3-0 (1.88, 62.5%)
ATS: 1-7-0 (-5.50, 12.5%)
OU: 5-3-0 (7.12, 62.5%)
How the hell can the OU results claim a CI of 7.12 when it's just one game over .500 (4-4)? I am no statistician, but the sample size is too small to generate any confidence in my limited brain. I have no opinion on the total, but it does make me question the validity of the Sports Database and SDQL query results.
I expanded the line parameters and got an ATS result of 9-19 (-3.59, 32.1%), so I must admit that my hypothesis was bullshxt.
Faced with that result, I would only bet CHI despite my initial thoughts.
I would appreciate informed opinions of handicappers who have been working with this for several years. TIA.
I like that ...go with your gut feeling...best system going !!
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