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#1 |
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President of the Universe
Join Date: Apr 2002
Location: Highlands Ranch
Posts: 15,135
Adopt-a-Bronco: Joel Dreesen |
I've always thought that if someone could formulate a statistical model for winning based on numbers - everything from using combine results (for bringing in players) to play calling...
Could this be the start of a "statistical" NFL model? http://blogs.denverpost.com/broncos/...ce=rsshomeblog |
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#2 |
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President of the Universe
Join Date: Apr 2002
Location: Highlands Ranch
Posts: 15,135
Adopt-a-Bronco: Joel Dreesen |
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#3 | |
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I'm buying
Join Date: Nov 2011
Posts: 5,583
Adopt-a-Bronco: Peyton Manning |
Quote:
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#4 | |
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President of the Universe
Join Date: Apr 2002
Location: Highlands Ranch
Posts: 15,135
Adopt-a-Bronco: Joel Dreesen |
Quote:
WPA - Win Probability Added |
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#5 |
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A verbis ad verbera
Join Date: Mar 2006
Location: Long Beach
Posts: 32,882
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Tebow + Ball / Juice = winning
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#6 |
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Ring of Famer
Join Date: Apr 2004
Location: Mass
Posts: 1,227
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I am kind of a math whizz, I took a look at that info and I think I have the formula you are looking for
Tebow+Miller+Elway=Win |
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#7 |
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Seasoned Veteran
Join Date: Aug 2005
Location: Albuquerque
Posts: 332
Adopt-a-Bronco: Derick Domino |
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#8 |
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President of the Universe
Join Date: Apr 2002
Location: Highlands Ranch
Posts: 15,135
Adopt-a-Bronco: Joel Dreesen |
I think the board is more in line with:
[(Von + Doom + Bunkley) x (Champ + Bailey / Goodman)] + {[(Tebow/McCoy) x McGahee] + (-Orton)} = win The front seven compounds coverage (they play off eachother), Champ and Dawk are divisible by the weakness = Goodman. Added to... Tebow, divisible by McCoy's play calling (not my opinion, the forum's ;P). McGahee is independent from Tebow's parenthetical because he can just pound it but Tebow's inability to open up limits McGahee's potential, and adding a negative Orton (addition by subtraction). About right? |
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#9 | |
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Ring of Famer
Join Date: Mar 2006
Location: London, ON
Posts: 10,142
Adopt-a-Bronco: Spencer Larsen |
Ultimately there are far too many variables and far too few games to make a model with any kind of decent behaviour. Simply put the number of input variables is much greater than the number of possible data points (games) which means you can not find anything that even resembles a unique solutions (there will be infinitely many solutions) unless you introduce arbitrary ad hoc contraints the limit the solution space.
In this analysis the choice of input variables is highly questionably as every metric used is highly subjective. EPA for instance fails to take into account the situation you are playing in, if you are facing a very strong defensive team in really bad weather with a lot of injuries on your offense you are not nearly as likely to score points as you are if you are facing a very bad defense with a lot of injuries in a dome. EPA since it is based on historical averages is a metric that entirely negates these much more important factors. WPA is like EPA in that it is based entirely around historical data which washes out trends, some QBs and teams are very good in the 4th quarter (Elway was) and some are very bad (Orton), this means that if Elway had the ball at midfield with 1.11 to go down by 4, he was all else being equal, substantially more likely to pull out the win than Orton would be in the same situation - WPA because it is based on averages fails to take this into account and so Elway would have a surprisingly high WPA when studying his results compared to Orton - this is the same with Tebow, he in many games plays much better in the 4th quarter than he does in the first. Using DVOA as a metric of how the defense has played is absurd at best, the DVOA metric is highly subjective and includes evaluation of each play and as such has as much to do with whoever is reviewing the game and possibly what that person had to eat as it does football. Returning to the actual analysis, what it shows is that Tebow is good when it matters the most and not very good when it has the least impact. The author concludes that this is an aberration and therefore not likely to last, however I would say it is a result of the metric failing to account for players who consistently can elevate their game in crunch time and has no predictive value at all. I am sure if you compare different QBs over their careers to the model you will see outliers who are no more extreme than the Tebow case. Quote:
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#10 |
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I'm buying
Join Date: Nov 2011
Posts: 5,583
Adopt-a-Bronco: Peyton Manning |
What would be the numerical rating be for being blessed by Jesus?
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#11 |
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President of the Universe
Join Date: Apr 2002
Location: Highlands Ranch
Posts: 15,135
Adopt-a-Bronco: Joel Dreesen |
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#12 |
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IL Oldest Bronco Maniac
Join Date: Jan 2004
Location: Decatur, IL
Posts: 4,944
Adopt-a-Bronco: Bay Bay |
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#13 |
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Producer of Nonsense
Join Date: Aug 2006
Location: Sun and Beachville
Posts: 14,042
Adopt-a-Bronco: None |
I think the current equation is:
{avg[(Miller's pass rush)+(Doom's pass rush)]-avg[(RT pass block ability)+(LT pass block ability)]}*(opp QB resilience value)/(opp ability to stay awake*[Tebow+McGahee rush success]*(Tebow luck factor) |
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#14 |
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Free Safety
Join Date: Aug 2005
Location: Centennial
Posts: 3,063
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If you need math whizzes try Chiefs Planet... oh wait no, that's meth whizzes on Chiefs Planet I always get that confused.
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#15 |
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President of the Universe
Join Date: Apr 2002
Location: Highlands Ranch
Posts: 15,135
Adopt-a-Bronco: Joel Dreesen |
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#16 |
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Partisan
Join Date: Jan 2003
Location: Twixt Hell & Highwater
Posts: 49,113
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#17 |
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Ring of Famer
Join Date: Apr 2004
Location: 63 Yards Out
Posts: 4,051
Adopt-a-Bronco: 1 Elam 1 |
Our company does this daily on other market oriented studies and spends millions each year backtesting coefficients...trust me when I say...there will always be outliers anomalies to the model that really make the model more of a probability and speculation tool than an firm investment by which you can guarantee a certain result. I can tell you who is most likely to spend and on what and when but whether that actually happens or not is speculation.
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#18 |
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Broncoholic
Join Date: May 2001
Location: Colorado
Posts: 16,962
Adopt-a-Bronco: Orange Julius |
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#19 | |
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Some dude
Join Date: Oct 2004
Location: NJ
Posts: 2,848
Adopt-a-Bronco: Eddie Royal |
Quote:
There are extremely well paid geniuses who spend their entire life's work trying to predict things with significantly more historical data than the performance of Tim Tebow (and all of the advanced NFL stats they used there); and who have managed to, despite all that, repeatedly **** it all up. Then you have two guys from a school with a nice name draw a cute graph after guessing at the effect of a few variables on the game of football - a sport full of Chaos - of motorcycle injuries, I-hop related injuries, gun shootings, idiotic actions leading to suspensions, egotistical coaches pulling players to show power, teams running offenses and plays no one has seen before, and a league refereeing committee that comes up new **** to call/ignore every day. I don't have a Phd in economics from MIT, but I won't need one to tell you that the study those two guys are doing is likely no better at predicting Tim Tebow's future performance than you or me after a dozen shots of Jameson. EDIT: I feel like i said a whole lot of nothing related to the Topics main question, which seems to be whether the study hints that this style of modeling might be valid for future use etc., Answer is no, study looks pretty meaningless to me. All they did was draw a relationship between how many points a QB is expected to add (how they got that i have no idea) vs. the chances of winning the QB adds to a team(how they got that, who knows). Thats two pretty ****ty and arbitrary numbers considering the amount of other factors in a football game, how the heck do you know whether it was the QB that day or the rain? or the offensive coordinator, or receiver/corner matchup? the answer is you can't control for these things and theres likely not enough info on the NFL to get these numbers in the first place. Also, the R-squared (correlation/relationship they did find) is 82% and thats kind of ****ty, I could probably find stronger correlation between microwave use and erectile disfunction. Although, i'd be shocked if far better, more complex, and more accurate models didn't exist in the hands of Vegas odds makers. Last edited by Willynowei; 12-01-2011 at 10:19 PM.. |
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#20 |
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~~~
Join Date: Feb 2006
Location: Earth Division
Posts: 19,869
Adopt-a-Bronco: Gilgamesh |
Math sucks.
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#21 |
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Ring of Famer
Join Date: Apr 2004
Location: 63 Yards Out
Posts: 4,051
Adopt-a-Bronco: 1 Elam 1 |
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#22 |
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Producer of Nonsense
Join Date: Aug 2006
Location: Sun and Beachville
Posts: 14,042
Adopt-a-Bronco: None |
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#23 |
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A new beginning!
Join Date: Aug 2006
Location: Denver
Posts: 26,154
Adopt-a-Bronco: Watermock - RIP |
The problem with using stats to project winners from the draft is that this is a team sport based on 11 players who play as a unit and are dependent on each other. Nearly impossible
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#24 | |
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The Kranz Dictum
Join Date: Jun 2005
Location: Tranquility Base
Posts: 29,355
Adopt-a-Bronco: MONEYBALL #38 |
Quote:
Math and Science stuff is fun. |
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#25 | |
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Ring of Famer
Join Date: Dec 2002
Posts: 1,712
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Quote:
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