CountVolcula
Eternal Vol
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The probability of both events occurring is the product of the 2 probabilities.
Just think about it like shooting free throws. You could be a 75% shooter from the free throw line, which is good. however, if you shoot 3 free throws, you are likely to miss 1 free throw, even though you are heavily favored in each individual shot.
0.75*0.75*0.75 = 0.42, or 42% to make 3 free throws in a row.
Well Mr. Engineer, sir, while it appears you have attended a stats 201 class, you didn't read my post. That method skews the numbers by not fully representing the talent differential and the plethora of other variables. So no, there isn't a valid way to calculate that probability given only those numbers, but your probability makes the likelihood of use winning those games look much smaller than it is in reality. Which was my point, not looking to get in to a measuring contest.
Georgia Tech (T) 50%
Indiana State (W)
Florida (L) 25%
Massachusetts (W)
Georgia (L) 40%
South Carolina (W) 60%
Alabama (L) 5%
Kentucky (W) 55%
Southern Mississippi (W)
Missouri (W) 60%
LSU (L) 20%
Vanderbilt (T) 50%
This rule doesn't apply to mutually exclusive events.
I don't think you quite understand how probability of independent events actually works.
If you accept the computations used to extrapolate the FPI win percentage for each game, then it's literally basic statistics, based off of those individual probabilities for each game, the likelihood of both events occurring.
Has nothing to do with factoring in talent, or anything else other than given probabilities for each game as determined by the FPI projection, the likelihood of two or more events occurring.
Thoughts?
Georgia Tech (W) 68.5%
Indiana State (W) 98.9%
Florida (L) 37.9%
Massachusetts (W) 97.4%
Georgia (W) 51.3%
South Carolina (W) 75.7%
Alabama (L) 13.5%
Kentucky (W) 60.0%
Southern Mississippi (W) 96.1%
Missouri (W) 64.3%
LSU (L) 40.5%
Vanderbilt (W) 81.1%
Thoughts?
Georgia Tech (W) 68.5%
Indiana State (W) 98.9%
Florida (L) 37.9%
Massachusetts (W) 97.4%
Georgia (W) 51.3%
South Carolina (W) 75.7%
Alabama (L) 13.5%
Kentucky (W) 60.0%
Southern Mississippi (W) 96.1%
Missouri (W) 64.3%
LSU (L) 40.5%
Vanderbilt (W) 81.1%
Thanks for having my back there. Makes me feel like I'm not totally off base.
ilot:
Using the basics of probability Alabama only has a 35% chance of winning 10 games in a season assuming they have a 90% chance to win each game. They've done this for the past 9 straight years. That's a .008% probability given this method of calculating it. So yes. When given numeric proof I doubt numbers.
Using the basics of probability Alabama only has a 35% chance of winning 10 games in a season assuming they have a 90% chance to win each game. They've done this for the past 9 straight years. That's a .008% probability given this method of calculating it. So yes. When given numeric proof I doubt numbers.
I don't know how useful it is to publish such precise game by game odds. It suggests a level of accuracy that isn't realistic.
I'm not ashamed to say it does feel a little like rocket science to me. Ha! I didn't struggle with math much, but I certainly never embraced it either.I make no claims on attempting to represent the talent differential or other variables. I am calculating the odds based on the probabilities given by ESPN, whatever variables they include in their calculation. This isn't rocket science; it's just a discussion board. And the values they give aren't completely unreasonable. So the results I give based on their probabilities are also not out of the realm of possibility. You are free to think the numbers given by ESPN are worthless. I am not trying to dispute their validity.