BigBoardLab

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BigBoardLab

BigBoardLab

@bigboardlab

Making the NFL Draft beautiful and accurate @BigBoardLab Ex @espn @foxsports @cbs @nbc covering the NFL Draft

Beigetreten Şubat 2014
568 Folgt499 Follower
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BigBoardLab
BigBoardLab@bigboardlab·
Built a March Madness data visualizer. Plot any two metrics (SRS, Off/Def Rating, Tempo, Turnover %, etc) to find outliers and pick winners. Upset finder included. Data via @SportsRef. Check it out as you fill your brackets. bigboardlab.com/lab/madness
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BigBoardLab
BigBoardLab@bigboardlab·
Unrelated to Auburn pro day, Keldric Faulk is going higher than most think.
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Bobby Burack
Bobby Burack@burackbobby_·
Debating comedy shows w/@TheDeuce. My top 5: 1) Seinfeld 2) According to Jim 3) King of Queens 4) George Lopez 5) Two and a Half Men Patrick's top 5: 1) Larry Sanders Show 2) Seinfeld 3) Louie 4) Curb Your Enthusiasm 5) Frasier Who won?
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BigBoardLab
BigBoardLab@bigboardlab·
@NoFilm_Analysis Elite receivers tend to get more opportunities/targets, which naturally increases the likelihood of drops. Maybe I'm crazy, but seems logical to me that you can't often both be good enough to command looks and never drop it.
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I Don’t Watch Film (Football Analytics)
Drops don’t actually matter in wide receiver evaluation. It has essentially 0 correlation to NFL success. There isn’t a single elite receiver in the NFL that has a sub-5% drop rate in college. ———————————— Player (Career Drop Rate in College) Puka Nacua (8.5%) Ja’Marr Chase (7.8%) Justin Jefferson (7.3%) Malik Nabers (7.3%) Garrett Wilson (7.1%) Zay Flowere (10.4%) Brian Thomas Jr. (9.3%) Jordan Addison (9.5%) DK Metcalf (9.5%) ———————————— Then you get to the actual translatability of the stat itself and it gets more muddy George Pickens had the best drop rate in college of any 1,000+ yard receiver of the last decade at 2.2%. He’s actually struggled with drops in the NFL with a 7% drop rate including a season with a 12% drop rate in 2024. CeeDee Lamb has 4 seasons with a drop rate >9% in the NFL after having 0 in college. Hasn’t kept him from being great. In fact, Amon-Ra had a higher drop rate in college than Lamb, but his drop rate in the NFL is 3% compared to Lamb’s 7.6%. If Concepcion struggles to translate to the NFL, it will have nothing to do with his high drop rate.
Sam Monson@SamMonsonNFL

If Concepcion had better ball skills, you could make a real WR1 argument in this draft class for him, imo.

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Ad Professor
Ad Professor@The_AdProfessor·
Advertising campaign we made for Reynolds tinfoil
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BigBoardLab
BigBoardLab@bigboardlab·
@MattHarmon_BYB Tate is gonna go to some smart team who doesn't worry about imaginary upside fairies and just wants a really good receiver they can trust on the outside
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Matt Harmon
Matt Harmon@MattHarmon_BYB·
NEW: The first batch of 2026 NFL Draft WR prospects has been added to the #ReceptionPerception site 👀 Subscribers can now find RP charts, data and my evaluations on the following 5 WRs: Jordyn Tyson Makai Lemon Carnell Tate KC Concepcion Denzel Boston It is a really strong group at the top of the WR ranks this year. You'll love reading about these players and the different flavors they bring to the position. Get all the links you need below and come back every Monday leading up to the draft for a new batch of prospect profiles 👇
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Anand Singh
Anand Singh@imanands·
This is also the strongest argument for web-based distribution right now. No review queue. No 30% cut. No weeks waiting for approval. Your users get a URL, it just works. The irony: AI makes it trivially easy to generate apps, which floods gatekept platforms. But if your app runs in the browser, there's no gate to keep. The market itself becomes the filter — if it's good, people share the link. If it's slop, nobody cares. App stores were designed for a world where distribution was the hard part. Now creation is easy and discovery is hard. That's a web problem, not an app store problem.
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shirish
shirish@shiri_shh·
THE APPLE APP STORE IS DROWNING IN AI SLOP people are treating the App Store like a Medium blog spitting out apps one after another. All with zero users and $0 revenue. Apple reviews that used to take hours are now stretching into WEEKS and even months > more than 550k apps were submitted just last year, highest in a decade.
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Shea Serrano
Shea Serrano@SheaSerrano·
you put this guy in something and that something instantly becomes 20 percent better just an absolute master of nuance and confidence
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BigBoardLab
BigBoardLab@bigboardlab·
Been a little quiet with new features for BigBoardLab on here... but we've been building. All focus has been on GM accuracy. Excited to show off what's happened soon. There is not a more accurate simulation of how these guys stack boards and pick players.
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Shaun Newkirk
Shaun Newkirk@Shauncore·
Okay I made this a public tool (and did some data re-training too so results are slightly different). Will dive into it all on my Substack page soon, but here is the link for now you can play around with for 2026 NFL prospect historical similarities shaunnewkirk.github.io/NFL-Draft-Simi…
Shaun Newkirk@Shauncore

Might end up making this into a web app but that might be beyond my skill level, but did have CGPT help me with at least a local version

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BigBoardLab
BigBoardLab@bigboardlab·
@Shauncore I think we're agreeing. However he gets there, yes it's going against consensus, and with that track record, reevaluation is warranted for sure.
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Shaun Newkirk
Shaun Newkirk@Shauncore·
@bigboardlab Well I think heavily going away from the consensus is intentionally being bold since you are doing it on purpose. I get the conviction argument but that was the core of my tweet, if you are often wrong, re-think your conviction
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Chanluh 🪐
Chanluh 🪐@chxnluh·
This might be in the t5 greatest additions to Twitter ever
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Devin Carvajal
Devin Carvajal@DevCarvajal·
That one time in college I designed a NBA franchise extension in Jacksonville
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FB_Helmet_Guy
FB_Helmet_Guy@FB_Helmet_Guy·
NFL facemask color changes. Thoughts?
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