Thread Rating:

## Poll

1 vote (50%) | |||

1 vote (50%) | |||

1 vote (50%) | |||

1 vote (50%) | |||

1 vote (50%) | |||

1 vote (50%) | |||

1 vote (50%) | |||

1 vote (50%) | |||

1 vote (50%) | |||

1 vote (50%) |

**2 members have voted**

The standard bet (closest to 50/50) is over under 9.5. They have the lines at:

Over 9.5 +110

Under 9.5 -130

Here are the alternate totals:

Over 8.5 -170

Under 8.5 +150

Over 10.5 +200

Under 10.5 -235

Let's assume the bets against 9.5 are fair, after squeezing out the juice. How shall we then analyze the value of buying or laying an extra win?

First, let's squeeze out the juice from the bets against 9.5.

If the over were fair at +110, it would imply a 100/210 = 47.62% chance of winning. If the under were fair, it would imply a 130/230 = 56.52% chance of winning. Take the total and you get 104.14%. Let's split the difference in those probabilities and use these as the fair odds:

Over: 0.457256

Under: 0.542744

Let's assume each game has the same probability of winning. Yes, I know, ridiculous assumption, but let's go with it for now. Using Excel's "goal seek" feature, we arrive at a probability of winning each game of 0.578750. The following table shows the probability of winning any number of games from 0 to 16, based on the binomial function. You will see the probabilities of 0 to 9 and 10 to 16 match those desired above.

Wins | Probability |
---|---|

0 | 0.000001 |

1 | 0.000022 |

2 | 0.000223 |

3 | 0.001428 |

4 | 0.006376 |

5 | 0.021022 |

6 | 0.052951 |

7 | 0.103926 |

8 | 0.160630 |

9 | 0.196166 |

10 | 0.188657 |

11 | 0.141378 |

12 | 0.080932 |

13 | 0.034213 |

14 | 0.010072 |

15 | 0.001845 |

16 | 0.000158 |

Total | 1.000000 |

Next, let's look at the bets against over/under 8.5 wins.

The probability of over 8.5. is 0.653423064. At -170 odds, there is a 3.78% player advantage.

The probability of under 8.5. is 0.346576936. At +150 odds, there is a 13.36% house advantage.

Next, let's look at the bets against over/under 10.5 wins.

The probability of over 10.5. is 0.268600. At +200 odds, there is a 19.42% house advantage.

The probability of under 10.5. is 0.731400. At -235 odds, there is a 4.26% house advantage.

This makes doing a Polish middle look attractive. There is where you bet against two different sets of over/under lines, winning both ways in the middle. Here is what the odds look like there, betting to win one unit both ways on over 8.5 and under 10.5.

Wins | Net win | Probability | Return |
---|---|---|---|

0 to 8 | -0.7 | 0.346577 | -0.242604 |

9 or 10 | 2 | 0.384824 | 0.769647 |

11 to 16 | -1.35 | 0.268600 | -0.362609 |

Total | 0 | 1.000000 | 0.164434 |

That is an expected win of 0.1644 units. Divide that by the 4.05 units bet and we get a player advantage of 4.06%.

It seems too good to be true.

You might come back and argue the assumption about each game having the same probability of winning. The alternative is a small number of critical games that could go either way and the rest likely wins or losses. That would only increase my argument about betting the numbers close to 9.5.

Where I think the flaw in all this is that there is a correlation in the probability of winning from game to game. That would cause the total wins to drift further away that what the binomial distribution suggests.

Does anyone have an old prop sheet of season wins from a prior season? It would be interesting to see how the actual totals differed from the estimates.

I'll shut up now and throw it open to comments.

Quote:WizardDoes anyone have an old prop sheet of season wins from a prior season? It would be interesting to see how the actual totals differed from the estimates.

Here's a link to a few from the 2019 season; note these were released in mid-June, so the numbers could have changed by the time the season started.

Here is how they fared:

Overs:

Baltimore (14)

Buffalo (10)

Green Bay (13)

Houston (10)

Kansas City (12)

Minnesota (10)

New England (12)

New Orleans (13)

Oakland (7)

San Francisco (13)

Seattle (11)

Tampa Bay (7)

Tennessee (9)

Unders:

Atlanta (7)

Carolina (5)

Chicago (8)

Cincinnati (2)

Cleveland (6)

Dallas (8)

Detroit (3½)

Indianapolis (7)

Jacksonville (6)

LA Chargers (5)

LA Rams (9)

NY Giants (4)

NY Jets (7)

Philadelphia (9)

Pittsburgh (8)

Washington (3)

On the Nose:

Denver (5)

Depends on Where You Bet:

Arizona (5½)

Miami (5)

So, this is not perfect, but here are the contestant predictions, as of week 3, for every game of the the Miami Dolphins for 2021, a 17 game season. As you can see, if you total up the projected probability for every game of the season, the Miami team is expected to 8.72 wins against their schedule. But look at how much variation in projected win probability exists for each week!

Projections for 2021 Miami Dolphins (as of week 3) by pickers in the ESPN Pick'em contest.

Week | Win Prob. |
---|---|

1 | 0.46 |

2 | 0.14 |

3 | 0.06 |

4 | 0.65 |

5 | 0.51 |

6 | 0.87 |

7 | 0.8 |

8 | 0.08 |

9 | 0.87 |

10 | 0.11 |

11 | 0.91 |

12 | 0.7 |

13 | 0.86 |

14 | |

15 | 0.88 |

16 | 0.19 |

17 | 0.17 |

18 | 0.46 |

Total | 8.72 |

Now this is far from perfect in several ways, but you can see that even though Miami has about a projected average prob of 0.51 for winning any particular game in 2021, that the projections for any specific game range from 0.91 to 0.06 -and are rarely close to 0.51.

To be fair, this may be affected by the fact that Miami plays in a bipolar division: they are huge underdogs agalnst the Bills and huge favorites against the Jets. Even so, a binomial distribution based on an average win probability of 0.51 would probably look a lot different than a simulation over many trials in which each game was weighted according to the above probabilities.

Quote:ThatDonGuyDenver (5)link to original post

You mean 7. Took me a while to figure out why my total wins weren't adding up.

Quote:ThatDonGuyHere's a link to a few from the 2019 season; note these were released in mid-June, so the numbers could have changed by the time the season started.

Here is how they fared:link to original post

This is just what I needed, thanks.

Over the whole season, the total deviation in wins between actual and the over/under was 65 wins. That comes to 2.03 per team.

Deviation in wins | Count | Probability |
---|---|---|

0 | 3 | 9.38% |

0.5 | 3 | 9.38% |

1 | 7 | 21.88% |

1.5 | 4 | 12.50% |

2 | 2 | 6.25% |

2.5 | 3 | 9.38% |

3 | 3 | 9.38% |

3.5 | 2 | 6.25% |

4 | 2 | 6.25% |

4.5 | 1 | 3.13% |

5 | 1 | 3.13% |

5.5 | 1 | 3.13% |

Total | 32 | 100.00% |

Quote:JohnzimboWiz, any idea if they use similar analysis as yours when setting these lines?

link to original post

Sport books are notoriously lazy in setting lines. Most of them copy the lines of somebody else who already set them. That leaves the job of somebody to do it first, which is often Pinnacle Sports. They do have very good people setting lines. How they do it, I don't know exactly, but I think they like to hire people with both a very solid knowledge of sports and math. I think I would blend in their offices in Curacao well.

Wins | Probability | Un 10.5 | Ov 8.5 | Net Units Won | EV |
---|---|---|---|---|---|

0 | 0.000000 | 1 | -1.7 | -0.7 | 0.000000 |

1 | 0.000000 | 1 | -1.7 | -0.7 | 0.000000 |

2 | 0.000000 | 1 | -1.7 | -0.7 | 0.000000 |

3 | 0.000000 | 1 | -1.7 | -0.7 | 0.000000 |

4 | 0.023438 | 1 | -1.7 | -0.7 | -0.016406 |

5 | 0.039063 | 1 | -1.7 | -0.7 | -0.027344 |

6 | 0.070313 | 1 | -1.7 | -0.7 | -0.049219 |

7 | 0.085938 | 1 | -1.7 | -0.7 | -0.060156 |

8 | 0.132813 | 1 | -1.7 | -0.7 | -0.092969 |

9 | 0.148438 | 1 | 1 | 2 | 0.296875 |

10 | 0.148438 | 1 | 1 | 2 | 0.296875 |

11 | 0.132813 | -2.35 | 1 | -1.35 | -0.179297 |

12 | 0.085938 | -2.35 | 1 | -1.35 | -0.116016 |

13 | 0.070313 | -2.35 | 1 | -1.35 | -0.094922 |

14 | 0.039063 | -2.35 | 1 | -1.35 | -0.052734 |

15 | 0.023438 | -2.35 | 1 | -1.35 | -0.031641 |

16 | 0.000000 | -2.35 | 1 | -1.35 | 0.000000 |

Total | 1.000000 | -0.126953 |

The -0.1270 is the expected units won, based on 4.05 units bet. So the expected value, based on the total amount bet is -0.127/4.05 = -3.13%.

Quote:WizardLet's assume the bets against 9.5 are fair, after squeezing out the juice. How shall we then analyze the value of buying or laying an extra win?

And if this assumption is wrong, then what?

I'm fairly confident there was an over 9 at -110 the same time as the u9.5 -130. Much of the summer there were even better numbers on alternate wins for Miami.

Quote:TomGAnd if this assumption is wrong, then what?

I'm fairly confident there was an over 9 at -110 the same time as the u9.5 -130. Much of the summer there were even better n

I am not saying that the bet specifically on Miami is good or bad. I'm trying to address whether the idea of Polish or English middling the alternate lines is a good idea. I just picked Miami as an example. It was the first bet on the page to have an over/under line that didn't have a half. The math gets messier if we have to deal with pushes.

Quote:WizardI'm trying to address whether the idea of Polish or English middling the alternate lines is a good idea.

The answer is most undoubtedly yes. Maybe not with these numbers, but there were definitely numbers available this summer that were very good for both.

As a generality: I think most people are averse to going for those Polish middles (and not just because of the vaguely racist name). But if the numbers are good, then the bets are good, even if we can lose big.