Making educated guesses is fun. Acting in a predictive spirit is also fun. Given that this simple dynamic of human behavior has a global relevance nowadays, it’s no wonder that technological breakthroughs stimulate this kind of reality. The interesting part is how there are multiple pathways for it.
Some are under the sign of classic sports betting principles. Others are making full use of the mass desire to gamble and enjoy the opportunity to bet on almost anything. Given that the modern quickness of money movement spares no scenario, there’s a lot of interesting upsideto the world of gambling-adjacent markets.
This is where we start with the premise of this article. We will examine two of the main markets comparatively: betting and prediction markets. You are about to know why there’s a lot of commonality between the warriors of new-age gambling and the proponents of sportsbook efficiency.
As these markets start from the same root, we can say that they have similar levels of proficiency and popularity. However, they diverge in quite a few ways, which is another angle that we will examine here. Let’s see what they’re about and how their fans can look at them from a comparative standpoint.
Before the elements of comparative analysis are to take center stage, we need to settle what they’re about. Since definitions are the fundamental currency of knowledge, you will receive them for free so you know what you’re truly talking about.
The denomination of ‘betting market’ is a bit deceiving because it can refer to multiple things. In general, you may look at them as geolocation-focused markets, which means that bookmakers operate in various jurisdictions. Each particular market of this type would be a commercial space.
However, the specialized part of this definition is that betting markets are, in fact, criteria that you can bet on. As BetBrain shows with its comparative model, bookmakers leverage all kinds of odds for criteria such as the winner, points, individual stats, and many, many others. The intricacies of sports betting create a multitude of markets that you can shape, bend, and aggregate within numerous betting slip structures.
Overall, these betting markets are models in which the odds of an event are the result of proprietary calculations of a bookmaker. Yes, it can change the odds based on new information and the influx of bets on certain outcomes, but this doesn’t mean that they are automatic changes that the audience has an effect over.
However, there is a certain model that has this type of bearing: the betting exchange model. In this case, users can access a market of bets that others have already made and agree to exchange them. It works in a way that the market regulates itself based on how players are willing to wager.
Prediction markets are user-focused platforms in which someone can create a market based on a future event. Whether it’s politics, pop culture, or everything else (including sports), any future outcome can turn into a prediction market.
The idea is simple: you set up the premise (who does what, for example), put forth outcomes (candidates in a political race, for example), and let the audience know what they’re about. Based on probability, one can actually wager on a certain outcome, with the overall flow of the calculation yielding winnings based on how much you stake and the success of your prediction.
It’s a matter of sourcing crowd wisdom and public sentiment in a way that makes sense. Not only is this model straightforward in its structure, but it’s seemingly endless in how many things one can set up a prediction market on.
As such, the ascension and influence of Polymarket, a brand established in 2020, and Kalshi(in 2018) are emblematic.
The simple thing to note about prediction markets, in this case, is the fact that they are blockchain-operated markets. The visibility, transparency, and ease of use (for those who are willing to learn) are something that bring forth the advantages of smart contracts implied by cryptocurrency transactions.
Each stake placed here is a matter of making a blockchain transaction. Moreover, the rise of stablecoins, which are cryptocurrencies pegged to fiat currencies, gives participants an idea of stability. A unit of USDT is one US dollar, which makes wagers and potential payoutsparticularly easy to grasp despite being crypto-centric.
On the other hand, crypto gambling in regular betting markets has quite a complicated position. For example, the UKGC’s stance on crypto usage in online gambling clarifies that the lack of verifiable identity metrics is not compatible with the idea of responsible gambling, anti-money-laundering principles, and the fight against underage gambling.
As a result, regular sports betting adopts cryptocurrency transactions that only work in less-regulated markets. You will understand that there is quite a lot of visibility, even emphasis, on crypto sports betting for offshore-based gaming. They provide less legitimacy, but the anonymity that blockchain proponents desire.
Let’s think about what exactly you’d probably encounter on either betting or prediction markets. The name of the game is the fact that one operates with calculated and visually represented odds, while the other works specifically with the model of probability.
Betting markets use odds because they can use a mix of crude probabilities, visual representation, legacy (where the model of odds came from), but also a house edge that they implement within the structure of these odds. They also have taxation levels on your winnings, especially in regulated markets under the authority of a governmental financial institution.
Prediction markets work with a trading fee that you know, but the payout and visual representation are a matter of market sentiment. People wager on the outcome, and the majority of these stakes are what indicate the probability. As a result, one is open to bet against the grain, or in favor of it.
Let’s think about the subject matter now. This is a very simple element of this discussion:
In general, we see sports betting and its markets as a matter of entertainment, coupled with the ensuing industry around it. It has been around in a regulated and organized format for centuries at this point, and its core structure has probably been a staple of human behaviorsince at least antiquity, as far as historical sources seem to hint at.
Naturally, prediction markets in this current, digital form are as new as the rise of crypto viability. However, they are still very old and have risen in form as this new, crypto-centric, AI-assisted model has risen in impact. It has become almost as much of a spoof as you can think of, especially when mock prediction events inundate social media.
However, the most amusing part about this whole process is how important both have become. The sports betting markets of today have a huge bearing on sports consumption and presentation, not to mention revenue and total business turnout. They have become an adjacent element of how we perceive sports as a whole due to this industry’s influence.
We can say that prediction markets are an even more interesting case. They may not have the same cultural footprint as betting does, but they are a form of gambling. More than that, they are a matter of assessing public sentiment, especially when it comes to subjects where a mass influx of predictions is part of the plan.
The most important part of this discussion may be whether they are legal.
As we know, sports betting is experiencing a surge in worldwide popularity, in part due to the openness with which authorities are willing to legalize the model. Gone are the days of extreme crackdowns. Instead, government authorities are willing to cash in on immense taxation opportunities, keep illicit black markets out of the public’s interest, and have a say in the dos and don’ts of the field.
The matter of prediction markets is currently in a stable state. The model is spreading globally, and authorities like the Commodity Futures Trading Commission (CFTC) from the USA are keeping a close eye on it. For now, it feels like it’s a hybrid structure that may warrant its regulatory representation.
To complete this discussion, there is a lot to take in when it comes to their differences. They operate in seemingly similar spaces, but each of them is trying to keep to its own scalability opportunities and not step on the other’s toes.
If you are willing to wager in either betting or prediction markets, don’t forget to do so responsibly!
