One of the most interesting debates on fantasy twitter is the film vs analytics war that wages on year after year.

I think, for the most part, everyone can agree that neither side has all of the answers. So then the question becomes "how to meld them together?"

Let's Dive In.
I am certain that everyone has their own way of doing this but I thought I'd share mine. If you do it a different way please share! I am always looking for a better way to do things

Anyway, here it goes...
I start with analytics. Analytics is really good at figuring out who NOT to draft. Its not as good at figuring out who TO draft.

I essentially "cast my net" with analytics and then try to "fish within the net" with film.
I obviously have no experience with watching film.

I watch football because its fun. I am constantly wow'd by the feats on the field, but I couldnt tell you if player x did thing y right at point z of his route etc.

I leave that stuff to the expert football watchers.
I use my process in which I give each player a grade based on the "journey" they've taken.

Player x produced y and z amounts at A and B ages.... So did player Y. They are probably similar.
Player X entered the draft after his age 20 season. So did Player Y, ergo he's probably similar to player Y.

So on and so forth.

Eventually I get player X into a bucket with a bunch of similar guys and conclude that this is a good, bad, or ugly group to be a part of.
Each player ends up with a prospect grade.

Bulletproof
Coinflip
Maybe
Bust
Then once we get to this point I start looking at what the film folks are saying.

If they tell me that player X is absolutely terrible. I move the player down. If they tell me that player Y is absolutely fantastic I move the player up.
Generally speaking players dont jump tiers, but sometimes players will move down.

For instance, KJ Hamler was easily a bulletproof WR last year. But just because he graded highly didnt mean I ranked him highly.

Hamler was my WR12 despite showing up as my WR4 per the process.
Then after the draft we take the prospect grades and figure out who the best players in each tier are based on the film scores/rankings/tiers from various film analysts.

I am not "all" analytics but it is my basis, and as a result film is a smaller piece of the puzzle.
If I were a film analyst I could see doing it the opposite way.

Take your tiers per your film grades, listen to what the analytics folks are saying and sort within those tiers based on the analytics.
So who are the film guru's that I want in my corner?

@TheFF_Educator
@RayGQue
@angelo_fantasy
@Devy_Kane

Id suggest following them if for some reason you aren't already.

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More from @DFBeanCounter

28 Jan
So as you know by now, buying rookie face planters is typically a bad idea.

But what about at the NFL's most important position, Quarterback?

Let's dive in.
I use 1 qb adp because superflex startup adp doesnt go back very far. That means that good QB prospects can go in rounds 1-4 of dynasty rookie drafts. So I am not going to break it down that way for QB.

Instead we'll separate by first and second round NFL picks.
Here are the first round picks that face planted for ADP when comparing their startup ADP before and after their rookie years.

This is based on using May as the cutoff month.
Read 11 tweets
27 Jan
The other day I had said that buying face planting rookie WR's was a bad idea...

But what about RB's?!

Let's dive in.
This is a look at all of the rookie RB's that went in the first round of dynasty rookie drafts since 2007 that lost more than 12 spots in startup adp after their rookie year.
4/23 went on to hit a single top 12 season or more. 17%.

Historically this has not been a good bet to make. Don't make bad bets.
Read 18 tweets
26 Jan
So I do this thing every year called ADP trends. Basically looking at the ADP change for each player before and after their rookie years.

Face planters are bad bets. (lose 12 or more spots of ADP)

And hence that rookie you want to buy-low on is a very bad idea.

Let's dive in
Here is a list of WR that lost 12 or more spots since 2007 from the first round of dynasty rookie drafts.

#badbets Image
Now I get that you are going to tell me that player x is different because he was injured! And I totally understand the rationale. But ZERO of the guys that went on to hit had extensive injuries as rookies.
Read 17 tweets
3 Jan
People keep pointing to Terry McLaurin as this great example of a player that was held back in college because of his great teammates and that's why he didn't breakout in college..

Let's take a quick look at the studs holding him back his last two years in college..
2017 receiving yards leaders.

Feel free to stop me when I get to the studs

Parris Campbell - 584
KJ Hill - 549
Terry McLaurin - 436
Johnnie Dixon - 422
Binjimen Victor - 349
Austin Mack - 343
2018 receiving leaders

Parris Campbell - 1,063
KJ Hill - 885
Terry McLaurin - 701
Johnnie Dixon - 669
Read 4 tweets
3 Jan
It has been brought to my attention that there are a great many breakout age deniers #onhere or perhaps just some are uninformed.

Let's see what history can teach us about Devonta's chances, shall we?

Let's dive in.
As always, the first thing to look at is the overall hit rate.

I have 361 players in my database with a breakout age that were drafted in rounds 1-7 from 2003-2017.

The hit rate is:

Top 12 - 54/361 = 15%
Top 24 - 81/361 = 22%

So lets see if Breakout age can explain that
First we'll look at breakout age by age for the full sample from rounds 1-7 and then we'll start controlling for draft capital.

Up first - No breakout age.

Top 12 - 2/43 = 5%
Top 24 - 2/43 = 5%
Read 25 tweets
2 Jan
One of the things that I think is rather fascinating is the early declare aspect of WR evaluations.

As you know, Devonta Smith had the opportunity to declare last year but presumably the NFL said no thanks.

Let's dive in.
This is the overall hit rate, not accounting for draft capital. This is just everyone that has been drafted from rounds 1-7.

Top 12 - 54/361 = 15%
Top 24 - 81/361 = 22%
So lets start cutting it down.

Here are the early declares with no control for draft capital.

Top 12 - 32/110 = 29%
Top 24 - 45/110 = 41%
Read 16 tweets

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