PSUSkinsFan21
03-23-2006, 10:21 AM
I would just like to restate my nomination of this thread (originally made 54 posts ago) as the most pointless thread of 2006 (this time with even more confidence that it deserves such an award).
Why it seems pointless to me:
Stats are a driving force in real-world professional sports. Regardless of whether you agree with it or not, players' salaries in all of the major sports are driven by statistics. Pro Bowl selections and MVPs are made based on statistics. Hall of Fame selections are supported by statistics. Player personnel decisions are made in large part based on statistics.
When a player or team opts for arbitration, for example, how do you think that player's salary is set by the arbitrators? I can tell you for certain that statistics are the #1 factor in setting that player's value. Are other factors considered? Of course they are. But the simple reality is no QB who opts for arbitration is going to get paid more than a similar QB that threw for more TDs, less INTs, and a higher completion %.
Now this isn't to say that you have to agree with the emphasis that is placed on statistics in professional sports. But reality is reality, and the reality of this whole ridiculous argument is that regardless of anyone's views on statistics, you're not going to change the system. You're not going to avoid the importance of statistics because there are enough common factors across the game that an overwhelming majority of those involved in professional sports feel stats matter. The size of a football doesn't change depending on who the home team is. All of the fields are 100 yards long. You can't have more than 11 men on the field. Endzones are 10 yards deep. You only get 4 downs to make a first and it takes a gain of 10 yards from the original line of scrimmage to get that first down. etc. etc. etc.
Of course, reasonable arguments take into account variences and other factors. The ball flies further in Denver. When Portis played for Denver, Denver's offensive line was better than the Skins has been over the past few years. David Carr can't get longer than 3 seconds to throw the ball. RBs in the west coast offense aren't likely to get as many carries as those in other systems. But the result of these factors should not be a blanket "statistics are unreliable" conclusion. Rather, the result of the commonalities and variences in football should result in the following type of exchange among reasonable people:
X: Trent Green is twice the QB that David Carr is, just look at his numbers.
Y: Agreed, Green has had much better numbers over the last 3 years, but you have to consider that the Texans offensive line is horrible. The guy is getting killed every game.
X: That's a good point, but I've seen David Carr play a few games and he always seems to be holding on to the ball too long and taking the sack.
Y: Maybe, but in the games I've seen, he's had literally 3 seconds or less to throw the ball. His WRs just aren't able to get open that quickly.
Are the statistics completely useless? No, because what if Trent Green's numbers were just slightly better than Carr's? In that scenario, Y would have a strong argument that Carr is better than Green. If Green's numbers are worlds better than Carr's, however, X's argument is supportable because despite the Texans' difficulties, Green has simply performed at such a higher level that all of the variables still don't account for such statistical discrepencies. Can X prove he is right? Of course not, but he can support his argument with statistics.
Assigning no or "almost no" value to statistics, however, makes it impossible to support any argument about any player. Let's see how this works:
My Statement: Aaron Brooks is the best QB in the league. Prove me wrong, Huddle.
Why it seems pointless to me:
Stats are a driving force in real-world professional sports. Regardless of whether you agree with it or not, players' salaries in all of the major sports are driven by statistics. Pro Bowl selections and MVPs are made based on statistics. Hall of Fame selections are supported by statistics. Player personnel decisions are made in large part based on statistics.
When a player or team opts for arbitration, for example, how do you think that player's salary is set by the arbitrators? I can tell you for certain that statistics are the #1 factor in setting that player's value. Are other factors considered? Of course they are. But the simple reality is no QB who opts for arbitration is going to get paid more than a similar QB that threw for more TDs, less INTs, and a higher completion %.
Now this isn't to say that you have to agree with the emphasis that is placed on statistics in professional sports. But reality is reality, and the reality of this whole ridiculous argument is that regardless of anyone's views on statistics, you're not going to change the system. You're not going to avoid the importance of statistics because there are enough common factors across the game that an overwhelming majority of those involved in professional sports feel stats matter. The size of a football doesn't change depending on who the home team is. All of the fields are 100 yards long. You can't have more than 11 men on the field. Endzones are 10 yards deep. You only get 4 downs to make a first and it takes a gain of 10 yards from the original line of scrimmage to get that first down. etc. etc. etc.
Of course, reasonable arguments take into account variences and other factors. The ball flies further in Denver. When Portis played for Denver, Denver's offensive line was better than the Skins has been over the past few years. David Carr can't get longer than 3 seconds to throw the ball. RBs in the west coast offense aren't likely to get as many carries as those in other systems. But the result of these factors should not be a blanket "statistics are unreliable" conclusion. Rather, the result of the commonalities and variences in football should result in the following type of exchange among reasonable people:
X: Trent Green is twice the QB that David Carr is, just look at his numbers.
Y: Agreed, Green has had much better numbers over the last 3 years, but you have to consider that the Texans offensive line is horrible. The guy is getting killed every game.
X: That's a good point, but I've seen David Carr play a few games and he always seems to be holding on to the ball too long and taking the sack.
Y: Maybe, but in the games I've seen, he's had literally 3 seconds or less to throw the ball. His WRs just aren't able to get open that quickly.
Are the statistics completely useless? No, because what if Trent Green's numbers were just slightly better than Carr's? In that scenario, Y would have a strong argument that Carr is better than Green. If Green's numbers are worlds better than Carr's, however, X's argument is supportable because despite the Texans' difficulties, Green has simply performed at such a higher level that all of the variables still don't account for such statistical discrepencies. Can X prove he is right? Of course not, but he can support his argument with statistics.
Assigning no or "almost no" value to statistics, however, makes it impossible to support any argument about any player. Let's see how this works:
My Statement: Aaron Brooks is the best QB in the league. Prove me wrong, Huddle.