All age data on this site starts by finding a prospect’s birth date through google or verified by the prospect through social media or in person. Then that birth date is used to determine the age of a prospect on their draft day.
This process is repeated with every prospect in the sample spanning every draft class from 1996-present. Once all prospect ages on draft day are found, they are rank from youngest to oldest.
Then the sample is converted into 0-100 percentile scores. After that the percentile thresholds are determined by quality grading.
There are six grades in determining quality and are significant in determining percentiles:
- 5-Time All-Pro: Prospect in the sample received at least five first-team or second-team considerations in their career.
- 5-Pro Bowl: Prospect in the sample received at least five Pro Bowl considerations in their career.
- 3-Time Pro Bowl: Prospect in the sample received at least three Pro Bowl considerations in their career.
- Starter: 64 starts in their career or more.
- Backup: 5 years or more of NFL experience, but with less than 64 starts.
- Reserve: Only 4 years or less of NFL experience with less than 64 starts.
Age Methodology Continued
Age percentile thresholds typically differ position by position. And each grade per prospect highlights those quality differences if any exist.
Market Share Methodology
Market share data is taking a prospect’s best statistical season as a college player in various categories and dividing by the prospect’s team totals. The data used here is collected through school websites and http://www.sports-reference.com/cfb .
So for example determining a wide receiver’s passing yardage market share goes like this. You visit the school website or SR website and determine the best statistical season.
Then you divide his passing yards for that season by his team’s total passing yards. You rinse and repeat this process over the rest of sample.
Followed by ranking every prospect in the sample from highest market share to lowest. Convert that into a 0-100 percentile score.
And then determine market share thresholds by where the quality players fall in the sample. So if for example 100% of the multiple All-Pro wide receivers were in the 70 or higher percentile, that’s where the grade is formed.
This market share process was applied to raw total offensive yards, passing yards, solo tackles, sacks, tackles for loss, interceptions and pass deflection data.
In order to get a statistically significant sample, every prospect with available data going all the way back to the 1996 draft class for defensive prospects. And as far as 1985 for offensive prospects was included in the sample.
The total number of prospects in each sample are:
DE/Rush OLB: 878