Sports Card Sets: Top 1% Controls 99% of Value

What Gem Market Cap is and why it matters (PSA 10 population × last sale price)

Applying stock market logic (market capitalization) to sports cards

Analysis of 30 Panini Prizm sets (13 basketball, 13 football, 4 soccer)

Total PSA 10 base & silver value across sports (~$75 million)

Basketball vs Football vs Soccer capitalization comparison

The Grubbs Test (3 standard deviation outlier detection)

Jenks Natural Breaks algorithm for tier classification

The “Brandon Miller problem” and contextual scaling distortion

Icon Tier vs Franchise Tier vs Field classification

Victor Wembanyama’s 2023 Prizm Silver dominance (83% of set value)

Luka Dončić’s high-liquidity population model (20,000+ PSA 10s)

Patrick Mahomes’ 2017 Prizm Silver dominance

Kylian Mbappé’s 2018 World Cup market share

Tom Brady 2012 Prizm Silver extreme scarcity example

LeBron James 2012 Prizm Silver ultra-low population

High-volume liquidity vs extreme scarcity paths to icon status

Layer 1 Set Tiering: ranking entire sets by total capitalization

Cornerstone vs Mid Tier vs Fringe sets

Why generational icons elevate entire products

The Pareto Principle in modern sports cards

Why 99% of cards have minimal long-term financial gravity

Weekly Newsletter Signup: Slabnomics.com
🎥Youtube
📸Instagram

Transcript

0:12

Picture the scenario you've probably seen a hundred times. You're scrolling online and a modern grail card, a PSA 10 Prism rookie Shatters another auction record, selling for the price of a literal house. And if you're anything like me, your first thought is trying to make sense of a market that seems entirely driven by nostalgia, hype. and whoever happens to have the most disposable income on that Sunday night. When people try and analyze the hobby, they usually hit a wall when trying to value things. Think of it, when you look at traditional stock, you're going to have quarterly earnings reports, revenue multipliers, physical company assets that are going to anchor those prices. But with cards, you're dealing with pure subjective human desire. Historically, that's felt almost impossible to rigorously quantify. But the reality is it isn't impossible anymore. What I want to walk you through today is a data framework that I call the Slabnomics LCD system. The goal is to treat the sports card market exactly like the S &P 500. taking Wall Street level statistics and applying them directly to trading cards to separate the true foundational icons of the hobby from the temporary noise. Now this is a massive departure from simply looking at the most expensive cards. In today's exercise, we're going to apply a rigorous mathematical framework to Panini prism across three different sports. basketball, football, and soccer across more than a decade of releases. And what are we looking to find? We want to map the actual gravity of these players and how that impacts the set. So the entire system relies on one core concept, the gem market cap. To understand the real financial footprint of a card, looking at a single record-breaking sale price is honestly a pretty terrible way to do it. It's just a snapshot of two motivated people bidding against each other in an auction house. It doesn't tell you the broader health of that asset or that set. Instead of doing that, I borrowed something directly from the stock market. To find the gem market cap for cards, you take the PSA 10 population, which is the number of perfect 10s that PSA has given out for a specific card. And then you multiply that population by the last sale price. In the stock market, it's literally the same thing as taking shares outstanding and multiplying it by the current share price. It gives you the theoretical cost if you want to go and buy every single copy of that card that currently exists on Earth at the PSA 10 valuation. Now, of course, that would be crazy because you'd actually see the price go up and up and up as someone cornered the market. But this process as more of an exercise allows us to smooth out a little bit of the noise that we see with single card sales and allows us to compare apples to apples, not just within a sport. but also outside of a sport since we're using the same set, which has very similar dynamics. Now, the first thing that I found with all of this is that the sheer size of the dollars throughout this market is truly staggering. See, I analyzed 30 different prism sets to get the full picture across sports for all the prism parallels and sets. That's 13 basketball sets, 13 football sets, and four soccer sets. Now, which of those three sports do you think had the most value across their prism sets? And I'll give you a little bit of a clarification here. Basketball and football ran for the same time periods from 2012 to current. Now, if basketball was your answer, you were 100 % right. It came in with values for these base and silver parallels Only for the PSA 10s, mind you, at over 52 million. Football, of course, followed that up, but it was only 20 million of value across these. And soccer, of course, only having three World Cup sets and one 2016 UEFA set really limped in at four million total value. But for all of that, in base and silvers, Prism held $75 million of value. And that's only the sweet, sweet PSA tens of that shiny or dull cardboard. Now to make sense of where money is truly concentrated across all of these sets, all 30 of them, I'm not just going to be eyeballing a spreadsheet. My eyes would fall out. I'm applying an analytics engine that at first glance may seem like massive overkill for trading cards, but when you see the results, you're going to realize it's not overkill at all. See the system that I built, which in this case I'm calling the LCD architecture, analyzes these prism base and silver prism cards from 2012. to current. The reason that I'm focusing on Prism exclusively is that we have a wide range across a good amount of time period and because it's been the flagship set for a long time before Topps Chrome is taking over now. By isolating simply the base and the silver parallels, it allows us to have apples to apples comparisons across these sports, because when you get into gold, things get a little bit wonky and you can't just go by PSA tents. Now I'm gonna give you a little peek behind the curtain as to what I actually ran this LCD system through. The real magic is how I process the data in order to actually get some intelligence from it. For this purpose, I rely on two different statistical tests that run side by side. This allows me to prevent false positives and make sure my data is clean. The first is called the Grubbs Test. Think of that as your strict outlier detector. It runs through the entire set of cards and mathematically tags any card whose gem market cap is three standard deviations above the mean. For anyone who hasn't been in a statistics class recently, three standard deviations basically means that a card completely breaks the curve, something so far removed from the average player that it almost looks like a typo when you're looking at the broad data set. Now identifying these extreme anomalies is only half the battle. Once you pull the giants out of your massive data pool, you still have to figure out how to group the hundreds or thousands of your remaining cards. That's where the second statistical test comes in. Jinx natural breaks. Now without getting too much into the weeds, Jenks is an optimization algorithm that looks at all the gem caps in a set and clusters them into tiers or classes, minimizing the variance within the tier. Imagine you have a massive chaotic pile of coins on the table and you're trying to sort them purely by eye. Jenks natural breaks is the algorithm that mathematically finds the exact point where the silver coin stop and the gold coins begin. ensuring no silver accidentally gets grouped with the gold. It finds the natural undeniable gaps in the data to say that these specific cards belong in the tier together. And then the math. And then there's a massive financial tear before the next. It finds the natural undeniable gaps in the data so that specific cards belonging in a specific tier together don't get lumped. It finds the natural, undeniable gaps in the data to say that these specific cards belong together. And then there's a massive fiscal cliff before the next tier starts. Now, of course, everything didn't work exactly as planned. See, what I found happen while doing this is... See, the problem that arose when I was running these two statistics side by side perfectly illustrates why you have to have both of these running simultaneously. I call it the Brandon Miller problem. In an earlier version of doing this, I ran into a massive scaling issue with Victor Wembedyama in 2023 Prism. Honestly, it broke the math. Imagine you're grading a high school math test and Albert Einstein sits in on the class and scores a million percent. If your algorithm simply identifies Einstein as an outlier and removes him from the curve so the regular kids look normal, the scale gets entirely warped because the baseline shifted. Because you've taken him because you first taken him out of the pool, the kid who got a B plus suddenly looks like the smartest kid that's ever lived relative to everyone that's left. This was the Brandon Miller problem because Victor Webinama's market cap was so astronomically high that the system temporarily removed him to analyze the rest of the 2023 rookie class. In doing so, it suffered from what I call context amnesia. By removing the true giant, the algorithm essentially forgot what the real outlier looked like in the first place. So the scale of the entire set. So the scale of the entire set compressed. And because the scale shrunk, the next best player within that set suddenly looked like a giant related to the other players. And so he got put into the same tier as Victor Webinama. What that really meant is that Brandon Miller got promoted to icon status, which any basketball card collector will probably tell you is absurd. He's a fantastic player, but his market footprint is nowhere near a foundational level icon when you look at the entire hobby. And this is what I was trying to do with this analysis. Find out who the data tells us are icons in the hobby. So long story short, to fix the problem, I made sure that the algorithms would talk to each other and make sure that they could check each other out. The data has to tell the exact same story from both sides. so Jenks Natural Breaks isolates a class of cards at the top, but that entire class is only crowned icons if every single card is also independently tagged by the Grubbs Test as being three standard deviations above the mean. There are no free rides. So if even one card in that top Jenks tier isn't a true mathematical outlier, the promotion is completely denied. The group is just the group then gets categorized on the next tier, which is our franchise tier, and they don't reach icon status at all. I just wanted to give you guys a little bit of an inside look on the math. Let's move on. Now when you actually look at what specific cards survived this mathematical gauntlet and earned that icon title, you realize just how incredibly top-heavy these markets are. Take Webonyama, his 2023 Silver Prism rookie has a gem market cap of $7.58 million. In fact, that is the highest of any Prism player for their base or silver gem market cap. So that seven point five eight million is a lot, but the total gem market cap for that entire set. If you take all of the silver prisms and find all of their market caps for all the players, it's only just over nine million. So he alone makes up a staggering 83 percent of that entire silver sets gem market cap value. All the other players in the set are essentially fighting over the scraps. Now this gives us a standard of comparison for how much one player is dominating one set. And it gives us a pretty good clue as to how important that player really is. Now you can go through the sets. You can figure out which one's weak and which one's not. And that can inform a little bit on how much weight you throw behind this icon status broken up by set. Remember the sets are the boundaries and they all have different print runs and different parallel runs, et cetera, et cetera. But right now we're just trying to get apples to apples as much as possible using gem market cap and using all prism sets. And the nice thing that we find is that we do have fundamental laws on how this collectible market operates. And we saw this consistently throughout Prism. Patrick Mahomes in 2017 Prism absolutely swallows the set. His card has over 4 million on the footprint for the silvers and this is 83 % of the 2017 Sets market cap for silvers. And that 83 % might seem familiar because that's exactly what Victor Wemenyama had in 2023 Prism for his silvers. Pretty crazy that they both had that, especially since Wemenyama is certainly not the level of Mahomes in terms of what he's won. For my soccer, AKA football guys out there, here's one for you. Killian Mbappe's 2018 World Cup Base holds 58 % of the entire 2018 Prism Base market cap. Yeah, his 2018 prism is a big deal. What this data set immediately proves to us is that Trading Cards is not an ecosystem of equal players, and I'm sure you knew that already. Asset is really just a vehicle for one, maybe two transcendent assets and everything else printed out that year is just along for the ride. So one interesting thing I noticed while going through this data is how specific players actually build that massive market cap dominance within the sets reveals two completely different paths to becoming an icon, either the high volume path or the extreme scarcity path. now Wemby of course shows us the high volume path to a T. There are almost 5,000 PSA, there are almost 5,000 PSA 10 silvers in existence for his 2023 Prism. Yet these bad boys are still selling for over $1,500 each. That's quite an ocean of liquidity. But if you really want to meet the liquidity king for basketball, that's going to be our boy, Luka Donchik. His rookie card has over 20,700 PSA 10s, making it one of the most heavily graded cards in modern history. Now, 20,000 copies of a card theoretically could make it somewhat worthless. But as Pokemon has probably shown you by now, that just isn't the case. Global demand matters and it can support this amount of cards. Luka has that big of a market. Of course, I don't need to tell you Pokemon does as well. Now, when you're looking at those crazy numbers of 5000 silvers for Wemby or over 20000 base for Luca, you compare that to the old sets and you start getting a little bit of the opposite strategy. This I would call the market of extreme scarcity. Look at Tom Brady's 2012 Silver Prism card. 2012 was the first year that Panini made the Prism cards, so it was a historic set. And for that historic for and within that historic first set for Tom Brady, there are only 22 PSA 10s for the silver. 22 copies on earth for Tom Brady versus 20,000 of Lucas rookie card. And because it's Tom Brady and the inaugural product, the last sale price for one of those 22 cards was a cool 20 grand. That extreme scarcity mixed with some great demand factors pushes the price into the stratosphere, you might think, but the market cap is only 440,000. To give you an example, Luca's market cap on his base cards for the PSA 10s was 4 million. So we're talking 10x more value in that market cap of Luca's base cards versus Tom Brady's silver prism. Only 22 copies. And joining Tom Brady in the same stratosphere of ultimate scarcity is LeBron James with his 2012 prism on the silvers. And joining Tom Brady in that utmost scarcity tier is LeBron James. His 2012 prism silver only has a population of 29 PSA 10 copies, and those run you about$19,800. very close to what's going on with Tom Brady. But what I love about the gem market cap is that no matter how you get there, whether it's 20,000 normal people willing to spend 200 bucks or two millionaires willing to spend 200 grand, the math normalizes the passion. This total gem market cap can show you the total financial gravity of that player in that set, regardless of what the print run is. But it's still crazy to me that you can compare Tom Brady's silver and Luca Donchic space and Luca Donchic has so much more money invested into that card. Now, the real magic of doing this analysis is that we don't just look inside the box to rank individual players. We can scale up to evaluate the box itself. This allows us to rank entire sets of cards against each other. I call this layer one tiering because what we've been talking about before where we're just looking at one sport and the sets within that and how they relate to each other. I call that layer two tiering. Layer one then zooms out and lets us look at different sports and different sets ranked against each other. So I promise I'm not gonna go back to all that crazy math stuff, but I do use the same Jenks natural breaks. But instead of feeding at the individual player data, I feed it the total gem market cap of each set. That classifies the years themselves into tiers. So we can see which sets are more valuable than other sets. For instance, the first most valuable sets I call the cornerstone tier. The next group of sets we call the mid tier, then we go into hardly relevant and then just fringe sets. These fringe sets represent minimal, almost negligible market value compared to the rest of the valuations that we see in cornerstone and mid-tier sets. Now what's wild is that the immense power of a single player can drag an entire set into that elite cornerstone tier. When you look at the classification table, the 2023 Panini Prism basketball set is cornerstone. Its total market cap is over 13.4 million in the base and the silver PSA 10s. And this represents a quarter of the entire Prism basketball capitalization for these metrics. And remember, Victor Webenyama accounted for about 83 % of all the valuation of that set. So his mere presence in the checklist elevates the entire product into a cornerstone asset class. Same thing with 2018 because of Luca. It's also a cornerstone sitting at 12.5 million and also as shy Gilgis Alexander in it. These guys are literally carrying the set. Now the implication here, the practical implication for you guys is massive for anyone holding unopened boxes as an investment. If a set doesn't have a generational icon level talent hiding inside it, it's almost mathematically. It's almost mathematically impossible for it to become a cornerstone set, and these are the ones that generate more v- And these are the ones that generate consistent value gains over time. Lesser sets dropping into fringe or even if they're hitting on mid tier, they bring those box prices down with them. Whenever you have someone who's carrying a set and all of a sudden he's done, that set also gets absolutely blown out. It's a star-driven league on the court and it's a star-driven league in the boxes. So far, we're just talking about what happens at the top and everybody wants to have the players at the top. But what about the guys in the bottom? The methodology clearly defines the bottom tier for the card levels as well. I call it the field. It sounds polite. Sounds like a nice metal. You go have tea in there, take a nap. But the mathematical reality of landing in the field is absolutely brutal for any collector. It's the same reality that happens when you open a pack. The field is the lowest Jenks class of the set. They're high volume, low price cards, role players, backups, rookies who suffered a bad injury and never got over it. These are the guys you pull out of the shiny pack, realize they aren't the star rookie, and immediately throw them into a shoe box in your closet. Now the data tells us exactly how little financial weight this shoe box carries. Think back to the 2018 Prism basketball set. Luca and Shai make up, mathematically, 78 % of the set's total value for the base and the silver gems. All the other cards throughout the checklist make up almost no value at all. It's a little bit like the Pareto principle that 80 % of the output comes from 20 % of your input, except that in this case, there's 298 players in the 2018 prism checklist that account for only 22 % of the value. And almost 80 % of the value is made up by 0.66 % of the set. And what this truly means to be totally real with you is that if you want to collect and that's what's important to you, then great, go and make the sets. But if you're looking to actually have value over a long period of time, it's really only going to come from less than 1%. And that's pretty consistent across all of these prism sets. I haven't looked at the done Ross or the flawless or the immaculate or the noir, but we're going to get to those at some point. on Slaabnomics and we'll find out what it looks like for there. What I can tell you is that for Prism 1 % is going to hold all the value. And this takeaway is profound. You don't have to be a card collector to care about it or apply it to your own life in other ways. What this framework provides is that in any market, no matter how chaotic, no matter how driven by subjective emotion and nostalgia, it seems on the surface, it can be fundamentally understood if you apply the right mathematical framework. Finding the truth in demystifies the chaos. It proves that human passion actually leaves a highly predictable data trail. It shows us that in many modern, passion-driven asset classes, the market is in a democracy where everyone gets a vote. It's a strict oligarchy. It's a financial oligarchy. These top 1 % assets of a set, these icons that I've been talking about here, they don't just participate in the market. They are the market. And the rest is really just packaging that they arrive in. Let me leave you with this compelling question to think about. If algorithms and optimization tools like Jenks Natural Brakes or Grubbs Testing can so perfectly map out the subjective value of nostalgia and sports loyalty, what other markets could we apply this to? Fine art, vintage cars, Rolexes, even the perceived value of digital creators and influencers. Could these highly subjective, passion-driven ecosystems be mapped, tiered, and fundamentally predicted in their value adds? It strongly suggests that human hype can be lot more mathematically predictable than we wanted to admit. For more data in this vein, I'm going to continue adding with my LCD analysis and my layer one and layer two analysis so that I continue to give you more and more practical information to answer questions that arise in your mind when you're looking at cards. That's what slabnomics.com is all about. So head over to slabnomics.com, make sure that you've signed up for Compt, which is a free newsletter, And if you do want this specific information, I'm going to have the summaries available to you under the sets tab. But to be able to see the full breakdown of all the prism sets for the silvers and the bases for basketball, football and soccer, you're going to have to be part of the Slabnomics investor tier to see all of that data. This investor tier is not only going to get you that, it also gives you frameworks that I've already started building. It's going to give you future tools. It's going to give you more set analysis and you get a bonus comped investor newsletter and some podcasts that you might actually start seeing this very week. so make sure to sign up now because the founding member tier is going to get cut off pretty soon. And that tier locks you into annual pricing forever. I'm never going to raise founding member tier pricing, but in about a week or so, I'm going to hit my cap on that. And I'm going to have to move into the regular annual pricing going forward. So check out slavnomics.com, check out the investor tier, Hit me up in the DMs as always. I'm slavnomics on Instagram. And thank you so much for being here. Keep building and I will talk to you later.