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League History Deep Dive - An incredibly useful piece of info to have going into a draft (1 Viewer)

Scoresman

Footballguy
This year, I really took a deep dive into league history for my snake league draft. This gave me a TON of useful info to take into my draft next week. I think knowledge like this is just as useful if not more useful than nitpicking your player rankings.

I downloaded drafts from the last two years, I would've gone further back if the data was available. I then put each pick side by side with that player's ADP, took a delta between ADP and actual pick and started making charts.

Here's what the raw data looks like .

https://i.imgur.com/M3CNeJz.png

For the charts below, any bar below 0 on the horizontal axis represents a pick taken before ADP, anything above 0 is a pick made after ADP. As you go left to right on the charts, it represents the rounds of the draft. Leftmost are the early rounds, rightmost the later rounds.

QB chart

https://i.imgur.com/WXOQfTj.png

RB chart

https://i.imgur.com/9SDc7od.png

WR chart

https://i.imgur.com/tf6gpQO.png

Takeaways


I learned a lot about my league's tendencies from the data above.

- QBs are almost universally taken before ADP. This is useful because it most likely means I'll be waiting to take a QB because I won't take guys like Mahomes or Allen earlier than I should. But it also tells me that I will have to pull the trigger on my QB before their ADP or I may end up with a starting QB of Kenny Pickett or Baker Mayfield. I seem to remember this happening last year, where I was eyeing Kirk Cousins and was going to take him at ADP, but some guy drafted him early as his backup to Mahomes.

- RBs in the first few rounds tend to go at ADP. No surprise. It gets less predictable the later in the draft you go. In the later rounds, as people are filling out their roster with their late round sleepers/handcuffs, it makes sense that a lot of guys will go before their ADP.

- WRs after the first round tend to go later than ADP, representing potential value at the position, allowing me to be ok waiting to take WRs in general.
 
That is great data. Now all you gotta do is package it, write an algorithm, and sell it to the highest bidder so they can incorporate it into their site for next season. Chop chop. I'd buy that.
 
Good stuff. I'm trying to figure out how this would translate to an auction-draft based league.

Thanks. This kind of analysis is even more informative for auction leagues. If your auction is online I'm betting your league site's history has previous year bidding info. I do this same analysis for my auction league. Our auction is live though, so it's all manually recorded.

I have an excel tab with historic player prices by player rank. So, RB1 was $35 in 2021, RB1 was $38 in 2022, etc. Once I get these tendencies, I come up with estimated player prices, which is what I think the players will go for based on historical tendencies. I compare this to player budgets based on VORP and I learned things like "Our league doesn't spend as much as they should on QBs" or "Our league puts too much money into Round 1 RBs".

https://i.imgur.com/4HPMsQs.png

So here I have 2021 and 2022 actual prices for QBs, I estimated 2023 prices, and you can see I wasn't too far off with the 2023 actual player prices. Having a good idea of what players are going to go for allows you to compare this to VBD data and provide a ton of useful info.

All you need is the $$$ data and a league that has little to no turnover year in year out.
 

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