It matters not how many years you went back, the fact is you have 10 samples. Then you go and make assumptions as well as throw around how long you went back to make your data seem more than useless.
Gee speaking of assumptions...
I'll provide some math though. Assuming an average of 30% chance to score on a given drive, the receiving team is expected to score first 59% of the time. Let's get great defenses together and go with an average of 20% chance to score on any given drive and the receiving team scores first 55% of the time.
Let me see if I get this straight. You're criticizing my sample size as being too small, but then you just pull random statistics out of thin air and use those completely-made-up "facts" to draw your conclusions?
Are you serious..?!? Thank you, my friend, for starting my day with one of the best laughs I have had in quite some time!
Like flipping a coin, any sample of 10 may show any amount of different outcomes, but as the samples get larger and larger the numbers get closer to the actual probability.
Note that while I understand this method is not perfect, it's far less flawed than any other analysis you have done and does a much better job of depicting the likelihood of a team scoring first on any kickoff including OT.
You're using completely made up statistics and then trying to find the likelihood of something happening based on those made up statistics. Meanwhile I am using historical fact. Yeah, that's a no brainer which one of us is using the better method.
So you are arguing that the outcome of one OT game is NOT independent of the results of another OT game? Before you answer this, make sure you understand what independence means as it pertains to probability.
You know for someone who is always complaining about other people changing the subject or "moving the goalposts" you sure seem to do that an awful lot on your own.
I have tried to explain this to you several times, but it apparently has not yet sunk in. I will type the following very slowly so as to help you understand: What I am arguing is that there is no significant correlation between "winning the coin toss" and "winning the game" in overtime playoff games. I have provided facts and data to support that conclusion. You have provided nothing other than completely bogus, made-up assumptions.
Your sample set is WORTHLESS. An insignificantly small sample size. The fact that you continue to harp on it shows that you lack a fundamental understanding of probability.
You know, I didn't want to have to humiliate you by mentioning this but the you have forced my hand. I was hoping you would figure it out on your own. Forget about Statistics 101, this is the sort of thing you learn in high school.
To say a sample size of 10 is "WORTHLESS" is a completely meaningless statement without knowing stating the size of our universe. Sure, if I wanted to find the average height of all human beings, then a sample of 10 would be too small because there are about 6 billion humans. But guess what? There have only been 27 NFL Playoff overtime games. So a sample of 10, taken from a universe of 27, is indeed a significantly large sample.
There isn't a single statistician that would look at a universe of 27, see a sample size of 10, and consider that an "insignificantly small sample size". So that blows another argument of yours completely out of the water. The fact that you continue to harp on it shows that you lack a fundamental understanding of statistics.
Wow! This is like shooting ducks in a barell!