Just like I did with Tampa Bay last week, I'll tease the Falcons off the ugly opening number of +2 and bump them past the key numbers of 3,4,7,8 while I still can. I expect this game to close at PK. While the opening price of +8 is still good on the Bears, I'll spend the other half of this teaser bringing the Bears back the other way across 8,7,4,3 down to what is essentially a pick'em spread. My numbers are showing 13 points of value for the Falcons and 11.5 points of value for the Bears at these adjusted numbers.. hard to pass up value like that.
Si1ly....I know u go off of numbers and value. But sometimes it's good to look at gameplay and other aspects. Sure that was a bs cover for the lions last night ( in which I was luckily on the right side of) but the bears play calling was terrible. They should have won that game by 20+ Carolina is a desperate team and I feel will have some fire on Sunday. Bears get to stay home and get comfy. Don't see them getting up for this game just like the lions game. Just my 2 cents but I'd grab the tease the other way. Gl to you bro. I read your stuff all time time.
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Quote Originally Posted by si1ly:
Just like I did with Tampa Bay last week, I'll tease the Falcons off the ugly opening number of +2 and bump them past the key numbers of 3,4,7,8 while I still can. I expect this game to close at PK. While the opening price of +8 is still good on the Bears, I'll spend the other half of this teaser bringing the Bears back the other way across 8,7,4,3 down to what is essentially a pick'em spread. My numbers are showing 13 points of value for the Falcons and 11.5 points of value for the Bears at these adjusted numbers.. hard to pass up value like that.
Si1ly....I know u go off of numbers and value. But sometimes it's good to look at gameplay and other aspects. Sure that was a bs cover for the lions last night ( in which I was luckily on the right side of) but the bears play calling was terrible. They should have won that game by 20+ Carolina is a desperate team and I feel will have some fire on Sunday. Bears get to stay home and get comfy. Don't see them getting up for this game just like the lions game. Just my 2 cents but I'd grab the tease the other way. Gl to you bro. I read your stuff all time time.
Disagree with the Seahawks this week. The Lions are much better than their record. I've watched them for several weeks now and costly TO's and bad special teams play is the only reason they are losing these games. I think they blow a bad road Seattle team out this week! That front of the lions will be all over Wilson and CJ is so due to have a monster game! This is actually my fav game of the week!
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Disagree with the Seahawks this week. The Lions are much better than their record. I've watched them for several weeks now and costly TO's and bad special teams play is the only reason they are losing these games. I think they blow a bad road Seattle team out this week! That front of the lions will be all over Wilson and CJ is so due to have a monster game! This is actually my fav game of the week!
Can you help me understand your breakdown sheets a bit more? For your SF@ARI breakdown, you are listing a projected spread of SF -3.5? So you expect SF to win by a FG or so?
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Can you help me understand your breakdown sheets a bit more? For your SF@ARI breakdown, you are listing a projected spread of SF -3.5? So you expect SF to win by a FG or so?
Disagree with the Seahawks this week. The Lions are much better than their record. I've watched them for several weeks now and costly TO's and bad special teams play is the only reason they are losing these games. I think they blow a bad road Seattle team out this week! That front of the lions will be all over Wilson and CJ is so due to have a monster game! This is actually my fav game of the week!
Bad teams find ways to lose games. The Lions self destructed last night. A more disciplined team would not drop so many passes, fumble twice in the red zone, muff punts. Etc...etc...
It's this teams nature to lose.
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Quote Originally Posted by boss0033:
Disagree with the Seahawks this week. The Lions are much better than their record. I've watched them for several weeks now and costly TO's and bad special teams play is the only reason they are losing these games. I think they blow a bad road Seattle team out this week! That front of the lions will be all over Wilson and CJ is so due to have a monster game! This is actually my fav game of the week!
Bad teams find ways to lose games. The Lions self destructed last night. A more disciplined team would not drop so many passes, fumble twice in the red zone, muff punts. Etc...etc...
BTW wonderful stats you have and I've used them the past 2 weeks so i really appreciate your hard work, keep it up!
Anyways, I noticed that the rushing yds/gm ranking aren't matching up with the correct ranking, unless im looking at this completely wrong... i.e. you have Chi w/131.5 @#3 but they are ranked #9. Same as KC w/ 164 @ #31 but they are #3 overall. Am I not understanding this number correctly or are they incorrect?? Could you help me out so i can better understand your breakdown sheets?
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I have a question bc I'm a little confused.
BTW wonderful stats you have and I've used them the past 2 weeks so i really appreciate your hard work, keep it up!
Anyways, I noticed that the rushing yds/gm ranking aren't matching up with the correct ranking, unless im looking at this completely wrong... i.e. you have Chi w/131.5 @#3 but they are ranked #9. Same as KC w/ 164 @ #31 but they are #3 overall. Am I not understanding this number correctly or are they incorrect?? Could you help me out so i can better understand your breakdown sheets?
BTW wonderful stats you have and I've used them the past 2 weeks so i really appreciate your hard work, keep it up!
Anyways, I noticed that the rushing yds/gm ranking aren't matching up with the correct ranking, unless im looking at this completely wrong... i.e. you have Chi w/131.5 @#3 but they are ranked #9. Same as KC w/ 164 @ #31 but they are #3 overall. Am I not understanding this number correctly or are they incorrect?? Could you help me out so i can better understand your breakdown sheets?
It's possible that I made a mistake in my software coding and the sheet is pulling the rankings from the wrong data set. I will check now to confirm if this is the case and make the necessary changes. To be honest, I didn't get a chance to proof-read these with a fine-toothed cone before publishing them. I focused most of my time on getting the RPI and Efficiency tables right since that's what I use the most in my handicapping. The rest of the data is superficial to me.
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Quote Originally Posted by Forsaken:
I have a question bc I'm a little confused.
BTW wonderful stats you have and I've used them the past 2 weeks so i really appreciate your hard work, keep it up!
Anyways, I noticed that the rushing yds/gm ranking aren't matching up with the correct ranking, unless im looking at this completely wrong... i.e. you have Chi w/131.5 @#3 but they are ranked #9. Same as KC w/ 164 @ #31 but they are #3 overall. Am I not understanding this number correctly or are they incorrect?? Could you help me out so i can better understand your breakdown sheets?
It's possible that I made a mistake in my software coding and the sheet is pulling the rankings from the wrong data set. I will check now to confirm if this is the case and make the necessary changes. To be honest, I didn't get a chance to proof-read these with a fine-toothed cone before publishing them. I focused most of my time on getting the RPI and Efficiency tables right since that's what I use the most in my handicapping. The rest of the data is superficial to me.
By the way, the cells were coded improperly. I've made the change so they're pulling the ranking from the appropriate data set so there won't be any more confusion. Any sheet I run or rerun from here on out will reflect an accurate offensive rushing yards per game rank.
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By the way, the cells were coded improperly. I've made the change so they're pulling the ranking from the appropriate data set so there won't be any more confusion. Any sheet I run or rerun from here on out will reflect an accurate offensive rushing yards per game rank.
How did you get RPI, Score, Washington, Def +3.2. I have been scratching my head for two hours trying to figure it out. Thanks
BigL
Washington allows teams to score 28.6 points per game.
These are Washington's opponents and the points they average scoring per game:
NYG 29.3
NO 29.3
MIN 23.9
CIN 23.7
ATL 28.5
STL 18.6
TB 24.7
Average the above points per game and you get 25.4. Subtract 25.4 from 28.6 and you get Washington's defensive score rating of +3.4.
i.e. Washington allows opponents to score 3.4 points more than they average.
Why is this important?
Their opponent this week, the Pittsburgh Steelers, average scoring 23.3 points per game. If the Redskins play an 'average' game by their standards, the Steelers should score 26.7 points.
If the match-up or situation suggests that the Skins will play an above average game, maybe you only predict 24 points for the Steelers... if the opposite is true, maybe you predict 30 points.
This is just one of many game prediction calculations you can do using the RPI numbers.
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Quote Originally Posted by BigLick08:
Si1ly,
How did you get RPI, Score, Washington, Def +3.2. I have been scratching my head for two hours trying to figure it out. Thanks
BigL
Washington allows teams to score 28.6 points per game.
These are Washington's opponents and the points they average scoring per game:
NYG 29.3
NO 29.3
MIN 23.9
CIN 23.7
ATL 28.5
STL 18.6
TB 24.7
Average the above points per game and you get 25.4. Subtract 25.4 from 28.6 and you get Washington's defensive score rating of +3.4.
i.e. Washington allows opponents to score 3.4 points more than they average.
Why is this important?
Their opponent this week, the Pittsburgh Steelers, average scoring 23.3 points per game. If the Redskins play an 'average' game by their standards, the Steelers should score 26.7 points.
If the match-up or situation suggests that the Skins will play an above average game, maybe you only predict 24 points for the Steelers... if the opposite is true, maybe you predict 30 points.
This is just one of many game prediction calculations you can do using the RPI numbers.
using your sheets to predict how team A offense may perform against team B defense, as u detailed last week using Seattle and San Francisco as your example, has proved very helpful! I hit a 5 team teaser this past week, using your expected Total and calculating each teams expected offense as my guide. this week using San Fran and Arizona as an example, an expected score of 17 - 10 is realistic, yet u have the expected total set at 34.5. what are some of the reasons for this discrepency, and what way would u lean, closer to 34.5 or closer to 27?
thanks in advance, superb capping my friend!
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Si1ly,
using your sheets to predict how team A offense may perform against team B defense, as u detailed last week using Seattle and San Francisco as your example, has proved very helpful! I hit a 5 team teaser this past week, using your expected Total and calculating each teams expected offense as my guide. this week using San Fran and Arizona as an example, an expected score of 17 - 10 is realistic, yet u have the expected total set at 34.5. what are some of the reasons for this discrepency, and what way would u lean, closer to 34.5 or closer to 27?
This explains alot. I usually trade stocks and I think sports betting is similar. If you have a brokage account look into putting some in housing stocks: KBH, TOL, BHZ... one of my favorite is MTG. Sorry off topic.
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This explains alot. I usually trade stocks and I think sports betting is similar. If you have a brokage account look into putting some in housing stocks: KBH, TOL, BHZ... one of my favorite is MTG. Sorry off topic.
I was wondering do you also do spread sheets for other sports like College Football, & Basketball, NBA ?. I apologize if someone already asked this Question, as you can see I just recently jumped on board. Thanks
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Si1ly,
I was wondering do you also do spread sheets for other sports like College Football, & Basketball, NBA ?. I apologize if someone already asked this Question, as you can see I just recently jumped on board. Thanks
Si1ly is the master at MLB - check his record on other threads. Many of his followers have enjoyed the riches from his spreadsheets, including yours truly. He usually posts his record at the beginning of a thread.
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smuv14u,
Si1ly is the master at MLB - check his record on other threads. Many of his followers have enjoyed the riches from his spreadsheets, including yours truly. He usually posts his record at the beginning of a thread.
I was wondering do you also do spread sheets for other sports like College Football, & Basketball, NBA ?. I apologize if someone already asked this Question, as you can see I just recently jumped on board. Thanks
As robinspe already alluded to, MLB is my bread and butter sport. Baseball - stat driven and odds based - offers the perfect combination of a large sample size and high volume of plays. I consistently hit 60% using a similar style of MLB sheets. I also have NBA sheets which I will be publishing about a month into the season when enough data accumulates. Below is my entire posted record on Covers since I started keeping track about two years ago.
'10-11 NBA: 90-67 (57.3%) +19.90u
'10-11 NBA-P: 30-16 (65.2%) +18.25u
'10-11 NCAAB: 8-1 (88.9%) +7.90u
'10-11 NHL-P: 11-4 (73.3%) +7.00u
'10-11 MLB: 97-66 (59.8%) +31.61u
'10-11 MLB-P: 9-3 (75.0%) +9.22u
'11-12 NCAAF: 16-21 (43.2%) -7.40u
'11-12 NCAAF-P: 9-6 (60.0%) +1.65u
'11-12 NFL: 42-35 (54.5%) +5.05u
'11-12 NFL-P: 5-5 (50.0%)-0.40u
'11-12 NCAAB: 9-3 (75.0%) +5.70u
'11-12 NCAAB-P: 5-3 (62.5%) +1.60u
'11-12 NBA: 77-80 (49.0%) -13.28u
'11-12 NBA-P: 23-20 (53.2%) +2.30u
'11-12 NHL-P: 2-1 (66.6%) +1.10u
'11-12 MLB:130-86 (60.2%) +38.27u
'11-12 MLB-P:1-1 (50.0%) +0.35u
'12-13 NFL: 21-8 (72.4%)+17.70u
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Quote Originally Posted by smuv14u:
Si1ly,
I was wondering do you also do spread sheets for other sports like College Football, & Basketball, NBA ?. I apologize if someone already asked this Question, as you can see I just recently jumped on board. Thanks
As robinspe already alluded to, MLB is my bread and butter sport. Baseball - stat driven and odds based - offers the perfect combination of a large sample size and high volume of plays. I consistently hit 60% using a similar style of MLB sheets. I also have NBA sheets which I will be publishing about a month into the season when enough data accumulates. Below is my entire posted record on Covers since I started keeping track about two years ago.
Thanks Numero_Uno, and robinspe... I might put a few units in MLB. Hey Si1ly what's your record with MLB World Championship serious?
This post season has featured some particularly tight lines. I've stayed away for the most part to avoid betting into a sharp market. I didn't make any wagers during the AL or NLCS.
I'll still post breakdown sheets for the World Series as I'm always looking for opportunities to make a buck. But I haven't been too pleased with what I've seen this October so rather than force any wagers, I've cut back.
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Quote Originally Posted by BigLick08:
Thanks Numero_Uno, and robinspe... I might put a few units in MLB. Hey Si1ly what's your record with MLB World Championship serious?
This post season has featured some particularly tight lines. I've stayed away for the most part to avoid betting into a sharp market. I didn't make any wagers during the AL or NLCS.
I'll still post breakdown sheets for the World Series as I'm always looking for opportunities to make a buck. But I haven't been too pleased with what I've seen this October so rather than force any wagers, I've cut back.
First look and I said im gonna take Atl and Chi in a tease...read on to see u picked the same tease and just had to double my bet, Thanks for the work si1ly
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First look and I said im gonna take Atl and Chi in a tease...read on to see u picked the same tease and just had to double my bet, Thanks for the work si1ly
my numbers don't match up with yours. take for example the WAS/PIT game, your projected total is 49.5. using the formulas you gave on response #24 on your week 7 breakdown thread, i arrived closer to a total score of 54.5.
all our RPI numbers match for WAS and PIT. the average offense and defense points matches what covers has on each team's stats page.
however, when those numbers are plugged into the formulas you gave in week 7, i get a different projected total. below is my work.
also, how do you deal with the automatic home field gets 3 points? do you add it to the home team's score? subtract from visiting team? or neither?
WAS O-RPI: 6.3, D-RPI: 3.1, O-Ave: 28.7, D-Ave: 28.6 Off RPI Score: WAS O-RPI + PIT D-Ave = 28.3 Def RPI Score: WAS O-Ave + PIT D-RPI = 28.7 Projected Score: ( 28.3 + 28.7 ) / 2 = 28.5
my numbers don't match up with yours. take for example the WAS/PIT game, your projected total is 49.5. using the formulas you gave on response #24 on your week 7 breakdown thread, i arrived closer to a total score of 54.5.
all our RPI numbers match for WAS and PIT. the average offense and defense points matches what covers has on each team's stats page.
however, when those numbers are plugged into the formulas you gave in week 7, i get a different projected total. below is my work.
also, how do you deal with the automatic home field gets 3 points? do you add it to the home team's score? subtract from visiting team? or neither?
WAS O-RPI: 6.3, D-RPI: 3.1, O-Ave: 28.7, D-Ave: 28.6 Off RPI Score: WAS O-RPI + PIT D-Ave = 28.3 Def RPI Score: WAS O-Ave + PIT D-RPI = 28.7 Projected Score: ( 28.3 + 28.7 ) / 2 = 28.5
si1ly, you aren't afraid of an upset in CHI due to short-rest? I mean I know the obvious answer here is "No, they're too good" but it's the NFL and anything can and will happen, right?
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si1ly, you aren't afraid of an upset in CHI due to short-rest? I mean I know the obvious answer here is "No, they're too good" but it's the NFL and anything can and will happen, right?
my numbers don't match up with yours. take for example the WAS/PIT game, your projected total is 49.5. using the formulas you gave on response #24 on your week 7 breakdown thread, i arrived closer to a total score of 54.5.
all our RPI numbers match for WAS and PIT. the average offense and defense points matches what covers has on each team's stats page.
however, when those numbers are plugged into the formulas you gave in week 7, i get a different projected total. below is my work.
also, how do you deal with the automatic home field gets 3 points? do you add it to the home team's score? subtract from visiting team? or neither?
WAS O-RPI: 6.3, D-RPI: 3.1, O-Ave: 28.7, D-Ave: 28.6 Off RPI Score: WAS O-RPI + PIT D-Ave = 28.3 Def RPI Score: WAS O-Ave + PIT D-RPI = 28.7 Projected Score: ( 28.3 + 28.7 ) / 2 = 28.5
1) The calculations I walked everyone through last week is just one of several score prediction calculations that I model. It happens to be the most powerful model that I've developed because it deals directly in margin of victory. But it's definitely not the only way to handicap a match-up using RPI-type data. The reason the projected total you equated doesn't match exactly with what I publish is because my total and spread is the best approximation using all of my models - not just that one. I won't get into the exact details of the other models, but they're based on logistic regression. I also have other tests to determine the likelihood of defensive or special teams touchdowns as well as 'big plays'. All of this goes into the formlation of the projected ML, Spread and Total.
2) How do I deal with home field advantage? Well there's no exact way to do it. Conventional method would tell you to add 3 points to whatever neutral field spread you come up with. I think this is inefecient. Some teams play MUCH better at home (Minnesota for example) and some teams seem to play better on the road (Giants for example). I might make home field worth 4.5 points for Minnesota depending on the opponent. I have a chart that has approximate weights for home and away for each team that helps me get a starting point for the adjustment. I then use this number to adjust for other intangibles such as situational angles (is it after a bye week or a divisional game) and injuries (hard to quantify so I make my best guess). I knocked the Jaguars line an extra 3 points for missing MJD this week. Is he worth more than 3 points? Probably, but it's impossible to really tell. I try not to deal with an exact score for each team. I try and separate the total from the spread and moneyline. The game can play out an infinite number of ways - if I pigeon holed myself into a specific score, I would seriously be limiting the potential of my models. In this way, I'm neither adding 3 to the home team score nor taking 3 away from the road team or any variation of this. I'm simply adding a home field and intangibles adjustment to the projected differential of the two teams.
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Quote Originally Posted by clubtnt:
si1ly,
my numbers don't match up with yours. take for example the WAS/PIT game, your projected total is 49.5. using the formulas you gave on response #24 on your week 7 breakdown thread, i arrived closer to a total score of 54.5.
all our RPI numbers match for WAS and PIT. the average offense and defense points matches what covers has on each team's stats page.
however, when those numbers are plugged into the formulas you gave in week 7, i get a different projected total. below is my work.
also, how do you deal with the automatic home field gets 3 points? do you add it to the home team's score? subtract from visiting team? or neither?
WAS O-RPI: 6.3, D-RPI: 3.1, O-Ave: 28.7, D-Ave: 28.6 Off RPI Score: WAS O-RPI + PIT D-Ave = 28.3 Def RPI Score: WAS O-Ave + PIT D-RPI = 28.7 Projected Score: ( 28.3 + 28.7 ) / 2 = 28.5
1) The calculations I walked everyone through last week is just one of several score prediction calculations that I model. It happens to be the most powerful model that I've developed because it deals directly in margin of victory. But it's definitely not the only way to handicap a match-up using RPI-type data. The reason the projected total you equated doesn't match exactly with what I publish is because my total and spread is the best approximation using all of my models - not just that one. I won't get into the exact details of the other models, but they're based on logistic regression. I also have other tests to determine the likelihood of defensive or special teams touchdowns as well as 'big plays'. All of this goes into the formlation of the projected ML, Spread and Total.
2) How do I deal with home field advantage? Well there's no exact way to do it. Conventional method would tell you to add 3 points to whatever neutral field spread you come up with. I think this is inefecient. Some teams play MUCH better at home (Minnesota for example) and some teams seem to play better on the road (Giants for example). I might make home field worth 4.5 points for Minnesota depending on the opponent. I have a chart that has approximate weights for home and away for each team that helps me get a starting point for the adjustment. I then use this number to adjust for other intangibles such as situational angles (is it after a bye week or a divisional game) and injuries (hard to quantify so I make my best guess). I knocked the Jaguars line an extra 3 points for missing MJD this week. Is he worth more than 3 points? Probably, but it's impossible to really tell. I try not to deal with an exact score for each team. I try and separate the total from the spread and moneyline. The game can play out an infinite number of ways - if I pigeon holed myself into a specific score, I would seriously be limiting the potential of my models. In this way, I'm neither adding 3 to the home team score nor taking 3 away from the road team or any variation of this. I'm simply adding a home field and intangibles adjustment to the projected differential of the two teams.
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