First Inning Runs picks based on historical outcomes stratified by the
full game O/U, the only variable that is highly correlated to the
outcome of this prop.
This season 317-283, +44.8 units, last season 180-170, +37.05 units Current YTD YES%=53.1%
CWS/Min YES +100, 1 unit (must bet -104 or better) Hou/Mil YES -105, 1 unit (must bet -111 or better) Pit/CHN YES -105, 1 unit (must bet -111 or better) AZ/LA YES -105, 1 unit (must bet -111 or better) TB/Oak YES +110, 2 units (must bet -101 or better) Phi/Was YES +100, 2 units (must bet -111 or better) Mia/Atl YES +110, 2 units (must bet -101 or better) Tor/Sea YES +115, 1 unit (must bet +110 or better) NYM/SF NO -145, 2 units (must bet -160 or better)
GL
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To remove first post, remove entire topic.
First Inning Runs picks based on historical outcomes stratified by the
full game O/U, the only variable that is highly correlated to the
outcome of this prop.
This season 317-283, +44.8 units, last season 180-170, +37.05 units Current YTD YES%=53.1%
CWS/Min YES +100, 1 unit (must bet -104 or better) Hou/Mil YES -105, 1 unit (must bet -111 or better) Pit/CHN YES -105, 1 unit (must bet -111 or better) AZ/LA YES -105, 1 unit (must bet -111 or better) TB/Oak YES +110, 2 units (must bet -101 or better) Phi/Was YES +100, 2 units (must bet -111 or better) Mia/Atl YES +110, 2 units (must bet -101 or better) Tor/Sea YES +115, 1 unit (must bet +110 or better) NYM/SF NO -145, 2 units (must bet -160 or better)
Yea, I'm pretty mixed about that as well. Ideally, I would go opposite on high scoring games and it's a hit or miss. But today's card, looking at all the pitchers and how each team is doing lately...plus my gut feeling. I'm liking the whole card YES.
I love when the yes hits for the low OU too. All the juice we win just covers for a normal bet loss in the end.
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Yea, I'm pretty mixed about that as well. Ideally, I would go opposite on high scoring games and it's a hit or miss. But today's card, looking at all the pitchers and how each team is doing lately...plus my gut feeling. I'm liking the whole card YES.
I love when the yes hits for the low OU too. All the juice we win just covers for a normal bet loss in the end.
First Inning Runs picks based on historical outcomes stratified by the full game O/U, the only variable that is highly correlated to the outcome of this prop.
This season 317-283, +44.8 units, last season 180-170, +37.05 units Current YTD YES%=53.1%
CWS/Min YES +100, 1 unit (must bet -104 or better) Hou/Mil YES -105, 1 unit (must bet -111 or better) Pit/CHN YES -105, 1 unit (must bet -111 or better) AZ/LA YES -105, 1 unit (must bet -111 or better) TB/Oak YES +110, 2 units (must bet -101 or better) Phi/Was YES +100, 2 units (must bet -111 or better) Mia/Atl YES +110, 2 units (must bet -101 or better) Tor/Sea YES +115, 1 unit (must bet +110 or better) NYM/SF NO -145, 2 units (must bet -160 or better)
GL
very good so far....
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Quote Originally Posted by totalguy:
First Inning Runs picks based on historical outcomes stratified by the full game O/U, the only variable that is highly correlated to the outcome of this prop.
This season 317-283, +44.8 units, last season 180-170, +37.05 units Current YTD YES%=53.1%
CWS/Min YES +100, 1 unit (must bet -104 or better) Hou/Mil YES -105, 1 unit (must bet -111 or better) Pit/CHN YES -105, 1 unit (must bet -111 or better) AZ/LA YES -105, 1 unit (must bet -111 or better) TB/Oak YES +110, 2 units (must bet -101 or better) Phi/Was YES +100, 2 units (must bet -111 or better) Mia/Atl YES +110, 2 units (must bet -101 or better) Tor/Sea YES +115, 1 unit (must bet +110 or better) NYM/SF NO -145, 2 units (must bet -160 or better)
i been following u are u are the man. I like your concepts. Why wait out a whole game instead of getting good value in the 1st inning alone. GL keep it up.
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i been following u are u are the man. I like your concepts. Why wait out a whole game instead of getting good value in the 1st inning alone. GL keep it up.
Total Guy - read post all time - nice work and nice avatar too lol.
Couple things:
1. Have you tried to correlate First 5 inning O/U instead of Full 9. Seems like that data would correlate a little more accurately (as some totals are impacted due to very STRONG or WEAK BPs).
2. Obviously to look at BAA or OBP etc of top of lineup is difficult/impossible - but seems like that is a factor that too could be statistically significant.
A lineup of:
.342
.312
.372
.300
.198
.190
.201
.232
.188
might have same o/u as following lineup - but obviously the 1st yes/no should be different:
.260
.260
.260
.260
.260
.260
.260
.260
.260
3. Can you remind me on the length of your data set?
4. Can you share the actual %s for each o/u (i guess i could back-ward induct based on the (must be -104 or better etc and just look at o/u for that game - but curious if the -104 is the actual midpoint, ie 50.9804% is the historical rate or u using some "cushion" when providing -104 (ie u don't do a bet without 1% edge, etc)
Thanks so much. Good luck, keep it up.
Also, your thread shows why line shopping is IMPORTANT (and only way to win l/r) as if u got ur lines 10 cents worse (as many are probably doing/betting) - u would breakeven and/or lose.
Anyways please do share some of the underlying data sets for each total - thanks!
0
Total Guy - read post all time - nice work and nice avatar too lol.
Couple things:
1. Have you tried to correlate First 5 inning O/U instead of Full 9. Seems like that data would correlate a little more accurately (as some totals are impacted due to very STRONG or WEAK BPs).
2. Obviously to look at BAA or OBP etc of top of lineup is difficult/impossible - but seems like that is a factor that too could be statistically significant.
A lineup of:
.342
.312
.372
.300
.198
.190
.201
.232
.188
might have same o/u as following lineup - but obviously the 1st yes/no should be different:
.260
.260
.260
.260
.260
.260
.260
.260
.260
3. Can you remind me on the length of your data set?
4. Can you share the actual %s for each o/u (i guess i could back-ward induct based on the (must be -104 or better etc and just look at o/u for that game - but curious if the -104 is the actual midpoint, ie 50.9804% is the historical rate or u using some "cushion" when providing -104 (ie u don't do a bet without 1% edge, etc)
Thanks so much. Good luck, keep it up.
Also, your thread shows why line shopping is IMPORTANT (and only way to win l/r) as if u got ur lines 10 cents worse (as many are probably doing/betting) - u would breakeven and/or lose.
Anyways please do share some of the underlying data sets for each total - thanks!
1. I have thought of this but didn't have the forethought of adding this as a variable to my data set. At this point, I would likely need at least 3 months of data to even feel comfortable in using the historical results of 5 inning totals to determine value. I would agree that 5 inning O/U would be at least as correlated to outcome as the full game O/U.
2. Interesting thought. Adding the OPS of the first 3 hitters would be interesting. Obviously a ton more work. At this point, I can crank out plays for the day in less than 10 minutes. Adding player and team specific data would increase than exponentially. Would it be worth the potential additional r-squared? Perhaps.
3. Started at the beginning of the 2011 season, almost 4000 games now. Trying to keep a homogenous data set in terms of total runs scored. For example, between 2001-2009, the average runs scored per game was 9.4. In 2010, it dropped to 8.8. Since then, it was dropped again down to 8.6. Interestingly, the YES% hasn't had the same rate of decline.
4. I update these every day. The value that I state in parentheses for each play is 1 cent better than breakeven for that game.
Exactly right about line shopping and understanding when that line has value and when is doesn't. The current data sets for each total value range from 270 (O/U 6.5) to 752 (O/U 8.5). I don't play any games where the O/U is 6 or less or 10 or more because of the small sample sizes for those values of O/U.
Thanks for the insight. I really appreciate it.
GL
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1. I have thought of this but didn't have the forethought of adding this as a variable to my data set. At this point, I would likely need at least 3 months of data to even feel comfortable in using the historical results of 5 inning totals to determine value. I would agree that 5 inning O/U would be at least as correlated to outcome as the full game O/U.
2. Interesting thought. Adding the OPS of the first 3 hitters would be interesting. Obviously a ton more work. At this point, I can crank out plays for the day in less than 10 minutes. Adding player and team specific data would increase than exponentially. Would it be worth the potential additional r-squared? Perhaps.
3. Started at the beginning of the 2011 season, almost 4000 games now. Trying to keep a homogenous data set in terms of total runs scored. For example, between 2001-2009, the average runs scored per game was 9.4. In 2010, it dropped to 8.8. Since then, it was dropped again down to 8.6. Interestingly, the YES% hasn't had the same rate of decline.
4. I update these every day. The value that I state in parentheses for each play is 1 cent better than breakeven for that game.
Exactly right about line shopping and understanding when that line has value and when is doesn't. The current data sets for each total value range from 270 (O/U 6.5) to 752 (O/U 8.5). I don't play any games where the O/U is 6 or less or 10 or more because of the small sample sizes for those values of O/U.
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