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Passer rating (also known as passing efficiency in college football) is a measure of the performance of passers, primarily quarterbacks, in gridiron football. [1] There are two formulas currently in use: one used by both the National Football League (NFL) and Canadian Football League (CFL), and the other used in NCAA football.
Pro Football Focus (also written as ProFootballFocus, and often referred to by its initials, PFF) is a sports analytics company that focuses on thorough analysis of the National Football League (NFL) and NCAA Division-I football in the United States. PFF produces 0–100 Player Grades and a range of advanced statistics for teams and players by ...
In microeconomics, a production–possibility frontier (PPF), production possibility curve (PPC), or production possibility boundary (PPB) is a graphical representation showing all the possible options of output for two that can be produced using all factors of production, where the given resources are fully and efficiently utilized per unit time.
Now instead of waiting until the next day, PFF will provide grades during the game with a slight delay in hopes that rabid fans will use it as a complement to the television broadcast to get a ...
The Dallas Cowboys had multiple players among the top 25 with both sides of the ball represented
In all, PFF says data from each game is collected by an average of 30 analysts spending a combined average of about 90 hours for every game. The final grades and stats will still be produced the same way after a thorough watching of the all-22 film with cross checking to make sure it is as accurate as possible.
Yards after catch (YAC) is a gridiron football statistical measure of the distance gained by a receiver after catching a pass. Specifically, it is the forward yardage gained from the spot of the reception until the receiver is downed, runs out of bounds, scores, or loses the ball.
If we start from the simple Gaussian function = /, (,) we have the corresponding Gaussian integral = / =,. Now if we use the latter's reciprocal value as a normalizing constant for the former, defining a function () as = = / so that its integral is unit = / = then the function () is a probability density function. [3]