I'd like to see the numbers run on returning experience at qb. This is just as big of a predictor as coaching is IMO. You could conclude that they are correlated but not necessarily causative
This isn't "theoretical physics" this is football. Iv'e been watching football for almost 50 years now and have seen countless games where the team that was supposed to win lost and the team that was supposed to lose won. Football is played on the field not in calculations. There probably is something to these theories which is all they are but there are too many variables in the human equation to place stock or even bet on it. Here is my take. Watch a few games being sure to have some Jack Daniels!! Enjoy the games and save physics for the classroom. I kinda like the chaos theories myself. :hi:
lol Clever.
A bell curve would place the probable outcomes as impossibilities. You can't win 7.4 games. so I tried to force the rough probability into real numbers. This isn't scientific, just a gut feeling based on having reviewed this data for so long.
Daj, how would your preseason ranking look when factoring in the recruiting rankings from your matrix and the +/- of the coach's effect on talent?
That is an interesting question, actually. I would like to look at that. However, I doubt I will have time. I am currently covered up with running a comprehensive set of evaluations for my employer. I doubt I will have any time to advance my system much before the start of the season. By then, I will undoubtedly be ready to just watch football as I have been buried in numbers all summer.
By the way, you can call me Derek. I think sometimes we (generally, not specifically) tend to lose some civility because of the anonymity on message boards.
I believe the odds go something like this:
10% 6-6 or below; 60% 7-5; 20% 8-4; 10% 9 wins or more (not including bowl game).
I do not doubt that in 50 years you have seen plenty of upsets. There are a few key questions:
1) what is an upset? Is it when some talking head tells you that one team is better without any objective data to conclude that? Is it your idea of who would be a better team, is it Vegas's idea of who should win? Those would be key questions in determining if what you witnessed was actually an upset or a perceived upset. If you haven't noticed, this (and similar systems) seem to shake up the idea of perception vs. reality.
2) In your fifty years, I am certain that you have also seen many games where the predicted winner, won. I am also certain that those games don't make much of an impact on our memory. Probably because they are far less exciting and less memorable. In fact, the vast majority of college football games are played between two teams who are both subjectively and objectively in different tiers, thus predicting the outcome before the game is even played is very simple. That is, in fact, why Vegas uses spreads to gamble on a game, because simply predicting who wins or loses is far easier than most give credit for.
You remind me a'lot of Sheldon Cooper from the big bang theory. Everything doesn't have to be about non objectivity theory. Can't we just sit down throw some beers back, shoot some jack and enjoy the games without theorizing everything to death? your obviously a smart guy but you need to relax a little bit.eace2:
If I remember correctly 7-5 was on talent alone correct? Then with the coaching effect CBJ should be worth 2 more wins correct?
( I understand this is just numbers)
Ill just split the differences and go with 8-4
You're right. It is unfair of me to ask that considering this is just a hobby. Maybe the websites you have previously mentioned will put together a preseason ranking.
Thanks, Derek. You can me, His Most Magnificent and Magnanimous McDad.
I am into brevity, so I will stick with McDad.
And, I wasn't suggesting that you were asking too much. I was simply explaining that as much as that is a good idea and I would love to see that, I just don't have the time.
The reason I am hesitant to apply Jones' coach effect in year one is that he was +0 his first year at Cincy. Maybe that indicates that the first year is all about installation?
If the data is skewed then it ceases to be "statistical" in the strictest sense, right? I completely agree that someone good with numbers can dazzle and amaze the unwary. That does not seem to be the objective of the OP or those involved in this kind of modeling.I was simply trying to make two points to the man for whom "the bell has wrung".
1) A statistical anylysis can easily be scewed.
That's true but those things are not mutually exclusive. Those "reasons" either are or could be quantified almost all the time.2) Just because you present numbers behind your prediction does not make them inheriently more accurate then the person who lists reasons.
Yep.That is really all. As for your points in my post they are all correct. I hope this cleared it up a bit.
Fair enough.
I admit that football is more fun when you don't know the outcome before hand.
And yes, I will take a Jack and Coke, or a white russian (because the dude abides).
You never know the outcome before hand with 100% accuracy. Because many factors are knowable, we can get close. Because some factors are remote and rare, we cannot know for sure.
Didn't take it that way. I would like to see it, too. Preseason rankings the way they are currently done is a joke. With the matrix at 70% and other's technique at 80%, no doubt that a valid preseason rank could be put together.
Just because an event only has two possible outcomes doesn't mean that the likelihood of each outcome is 1/1.
Just because likelihood is variable doesn't mean the number of observable factors leading to a binary outcome is infinite.
AND, this is key: even if the number of variables leading to a binary outcome approaches infinity--which one could imagine in field like astrophysics but certainly not in a prescribed game like football--there will always be a smaller subset of factors involved which have strong correlation to one outcome or the other.
This is why an astrophysicist can know that a large planet, which that cannot be seen via telescope, must orbit a star light years away because of a tell-tale wobble in the rotation of said star. Gravitational wobbles correlate highly to gravitationally significant objects being nearby.
Obviously, the number of factors involved in putting that planetary mass into orbit around that specific star is beyond incalculable. Still, only the key factors which indicate an orbiting planet need to be evaluated in order to predict with a great deal of certainty that an unseen planet is there. If math can do that, why is it shocking to some that it can be useful in sports both in prediction of outcomes and game planning.
All pretty elementary stuff I learned in the Tennessee Public School System. Suck it, Bammers!