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Projecting Fantasy Football Statistics 

"I'm sure you've read other website claims offering an "80% accuracy in predicting Fantasy Football Draft Day Statistics"....that statement is about as realistic as the guy with the snake skin boots (on the back of that weekly football journal) offering 100% accuracy in picking the winners of this week's NFL games! " 

    During the decade that we've been forecasting fantasy statistics, fantasy football is, by far, the toughest sport to forecast of the 4 major U.S. sports. Possible explanations abound, but logic dictates the most likely explanations for this phenomena are: 

  1. The limited size of the sample in any given year (16 games) , 
  2. The rather high occurrence of injuries, and 
  3. The dependence on other position players & the coaches playbook.

The Limited sample size: To produce any meaningful forecasting data, professional statisticians consider 100 observations to be the minimum acceptable size of a sample. As you can imagine, 16 regular season games falls well beneath that threshold. However the cumulative number of observations within a game can constitute meaningful data. An example of this is an average running back who attains 300+ carries in a season. Although the results of these numbers are meaningful, they are skewed by the only 16 (or less) different opponents that a particular running back faced during the season.

High Occurrence of Injuries: For anyone who has not played or watched football....football is a brutal full contact sport....with lots of injuries! And more importantly no one can predict injuries. Thus relying on a drafting model (cheat sheet) which is purely based on individual performances is missing the bigger picture.

Dependence on other Position Players & Playbook: In baseball a batter comes up to the plate and takes a full hack 95% of the time, while the opposing pitcher is looking to record an out almost 100% of the time. In football however, almost every offensive position relies on other factors, outside of their immediate control, in order to produce fantasy success. Examples include: a running back who relies on his line to find an opening, relies on his coach to call the play....a quarterback who relies on his offensive line to give him time, his wide receiver to find an opening, his coach to call the play....a receiver relies on the quarterback to find the time, his quarterback to find his hands, and finally the coach to call the play. As you can see there are a lot of variables that need to work in sync for our fantasy players to perform adequately. Thus, because of this dependence factor, predicting individual performances in fantasy football is much less predictable as many will have you believe.

The key to being competitive, is knowing how to draft. Our VAM drafting model puts you in a position to be competitive without the improbable accuracy of the projected player stats. Sure we spend months working on individual projections, and our projections model is 35%+ more effective than using the prior year stats, but it's the drafting order that we predicate which will make you competitive. Bottom Line: We do the tedious work, so you don't have to! Whether you are a new or experienced fantasy football player, Fantistics has the edge.

Below is a quick look at some of the forecasting research we've done based on prior year statistics. It's just part of the what we use in our projections model:

Quarterbacks are easily the most unpredictably group among the NFL players. Of the top 10 quarterbacks each season less than 50% (actually between 40-50%) return to that elite class given a 30% tolerance with their fantasy stats.

The main reason is the dependence factor. One weak link in the offensive line, and not only is the QB's rhythm is sidetracked, but also is his potential playing heath.  

Runningbacks offer more stability to the fantasy roster than quarterbacks. From a forecasting standard, last season saw 60% of the top 20 Running backs produce within 70% of the prior year's fantasy numbers.

The main reason for this stability is the dependence factor, or should we say independence factor. Runningbacks, with the exception of kickers, are the least affected by outside influences.

Wide Receivers are very stable as a group. Within a 30% fantasy tolerance the top 20, have recorded a 55-65% reoccurrence rate. Their correlation coefficient is in the .2 range (very good among the group).

The main reason for their predictability is the injury factor, or should we say health factor. Wide Receivers do not take the same punishment as other positions, defensive backs are generally smaller then linemen...bottom line: Defensive Linemen hurt!

Tight Ends are a very difficult group to predict. Within a 30% fantasy tolerance the top 20, have recorded a 35-60% reoccurrence rate. 

The main reason for their lack of predictability is all of the main 3 factors....Dependence, Injury and Play book.  ...bottom line: it's the top 3 or just wait till the latter rounds on draft day.

Place Kickers are very predictable! Although their 80% reoccurrence rate (within a 30% variance) are among the best relational numbers in fantasy football.... these numbers are also very deceiving. The reason that most kickers fall within acceptable ranges on a year to year basis is primarily due to the fact that kickers are among the lowest scoring positions in fantasy football, thus frequently there is not much point variance between the 6th best kicker in the league and the 15th.

 

So what does this all mean? Well most importantly, it allows us to assign a probability to each NFL position for draft day purposes, making the VAM drafting model more predictable than a simple position scarcity model.

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