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Data Entry: Projecting Contracts For Possible Receiver Targets

| February 27th, 2018

In the last two weeks, I’ve outlined both what the Bears need to add at WR this off-season and what players in free agency should fit that profile/the new offense. At the end of that work, I came up with the following two lists, suggesting that the Bears work to sign one player from each group.

Tier 1 (750+ yard receivers)

Marqise Lee, Jordan Matthews, Mike Wallace, Emmanuel Sanders (if cut)

Tier 2 (500+ yard receivers)

Albert Wilson, Kendall Wright, John Brown, Taylor Gabriel, Paul Richardson, Jaron Brown

Now I want to look at what types of contracts those players should expect in free agency to see how expensive these moves would likely be for the Bears. In order to do that, you need to compare the contracts signed by similar players (in both age and past production) who hit free agency in recent years. This gives you a general baseline for the ballpark a new contract should probably be in, though of course there are no guarantees this is exactly how it works out.

In an effort to be as accurate as possible, I also accounted for inflation, since the cap keeps going up every year. It’s jumped by about $10 million a year every year since 2015, and is expected to do the same again this year. Thus the comparable contracts were multiplied by the following scaling factors to get the predicted value, depending on when they were signed (some slight adjustments were made for greater/worse production):

  • 2015: 1.24
  • 2016: 1.15
  • 2017: 1.07

Let’s look through each target 1 by 1, with a few brief comments. Full data for production of targets and free agent contracts can be seen here. All contract information is from Spotrac.

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Data Entry: Building a WR Profile for Chicago’s New Offense

| February 20th, 2018

The Combine approaches in a few weeks in Indianapolis, and with it an obsession over everything that can be measured. Height. Weight. Hand size. Three-cone. Jumping ability. Speed. Everybody will soon be discussing 40 times like they make the difference between a good and bad football player.

Before we get a bunch of data from the Combine, let’s take a look at which measurables might matter, specifically at wide receiver.

New head coach Matt Nagy comes from the Andy Reid offense in Kansas City, so I took a look at the Combine stats of WRs the Chiefs invested in  -either in the draft or free agency  -since Reid came to Kansas City in 2012. Basically, I wanted to find a physical profile for well-performing wide receivers in that offense that the Bears might look to follow this year. This can help us identify what wide receivers at the Combine might make sense as targets for the Bears in the draft.


Building the Profile

There were 8 Chiefs WRs identified that were drafted by them, signed to a substantial deal in free agency or earned a meaningful role with the team as an undrafted free agent since Reid took over in 2012. These players were Tyreek Hill, Jeremy Maclin, Albert Wilson, Chris Conley, Jehu Chesson, Demarcus Robinson, Da’Ron Brown, and De’Anthony Thomas. I used Mock Draftable to look up their Combine data (or found data from their pro day when the Combine was not available) in every category I could find, and compared it to the average WR mark in each of these categories that Mock Draftable has compiled. Full data can be seen here.

Many of the measurables didn’t show any clear pattern, but I identified three where players consistently scored well: 40-yard dash, vertical jump, and broad jump.

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