What Are Prediction Markets and How Do They Work? A Complete Guide

Prediction markets let people trade on the outcomes of future events, from election results to baseball games to the subject of an Elon Musk tweet. Part forecasting tool, part speculative market, they’ve also become a popular alternative to traditional sports betting.

My guide will explain how prediction markets work, how traders buy and sell probabilities, and how to interpret key concepts such as implied probability, market odds, and pricing.

A prediction market works by allowing users to trade and invest in real-world 'Yes' or 'No' outcomes. They function much like a stock exchange, but users can only buy binary contracts on whether a specific event will occur.  

Prediction market trading occurs on peer-to-peer platforms, where users buy event contracts from one another at prices ranging from $0.01 to $0.99. Since all contracts are binary ('Yes' or 'No'), their value is clear-cut.

If an outcome settles in favor of a trader, he receives the full contract value ($1); if not, the contract's value becomes worthless ($0). 

I've provided a couple of examples that better showcase the inner workings of prediction markets.

Example #1:

A prediction platform offers an event contract on 'Will the New York Yankees beat the Texas Rangers'.

The 'Yes' outcome is priced at $0.65 per contract with a 65% implied probability, and the 'No' outcome is priced at $0.36 with a 36% implied probability. 

I bought 1,000 'Yes' contracts at $0.65 per contract, for a total of $650. During the game, the price of my contracts fluctuated. However, the Yankees eventually won the game, which means the event ended in my favor, and the price of my 1,000 'Yes' contracts on whether the Yankees would win, settles for good at $1. 

I got paid $1,000, a $350 profit from my initial investment.

The price of the 'No' contracts settled at $0, and anyone holding them lost their stake.

If the roles had been reversed and the Yankees had lost, my 'Yes' contracts would have been worthless after the game, and I would have lost my entire $650 stake. 

Example #2

Another example from early 2026 in the finance category was "Will GameStop acquire eBay?"

In this case, the 'Yes' outcome is priced at just $0.15, indicating a very low probability of its occurrence.

If I had bought 100 contracts at $0.15 each, it would have cost me only $15. However, if GameStop had acquired eBay, I would have been paid $1 per contract upon settlement, for a total of $100, representing an $85 profit on my initial investment.

Another way to think about this trade is that if you invested $15 in 'Yes' when the shares were at $0.15, you'd be buying 100 contracts, or 'shares,' of the 'Yes' option. When those shares paid out, you'd still have 100 shares, but they'd be worth $1 each, for a total of $100, vs. the $15 total they had when you purchased them. 

How pricing works on prediction markets

Contract pricing on prediction markets is dynamic and will fluctuate in both directions until the outcome is fully resolved. The ever-changing values of prediction contracts reflect traders' collective beliefs as confidence waxes and wanes about whether an event will occur. 

For example, a contract asking whether the Bills win the Super Bowl in 2027, which sat at $0.08 (8% implied probability) on Polymarket in early May, might have seen a price increase into the $0.10 range if the Bills signed or traded for a new star WR such as AJ Brown, a move that would have drastically increased public confidence in their chances. 

The main thing to remember about prediction market prices is that they are based on a competitive (peer-to-peer) model, and prediction market probabilities are not third-party-oriented. Instead, the prices reflect shifts in supply and demand driven by traders' tendencies and sentiment toward any particular outcome at any particular moment.

How implied probabilities work on prediction markets

Implied probabilities are simply percentages that represent the likelihood of an outcome occurring. Prediction markets display their outcomes as percentages rather than traditional sportsbook odds, as this provides a more direct representation of the market's collective confidence.

For example, a contract worth $0.54 will often be expressed as having a 54% chance of occurring. 

Prediction markets work by using specialized binary contracts that allow users to invest in or speculate on specific outcomes.

To help you better understand how prediction market trading works, I'll walk you through the basics of placing a prediction trade and explain any pertinent definitions along the way. 

Getting started with prediction markets

Your first step in prediction market trading is to choose a platform. Different prediction market apps have slightly different focuses and features, so it's worthwhile to do your research before getting started. 

Once you've picked out a site, getting started with prediction trading is far less daunting than it sounds. 

1. Pick a market to trade on

For sports, you'll have access to traditional moneyline, spread, and total options that mirror sportsbook offerings. Most prediction markets also include player-total markets, akin to player prop betting, as well as many non-sports markets.

2. Choose an outcome

After you've viewed your options, it's time to pick an event and outcome, and lock in a trade. Remember that predictions work with binary contracts, an "all-or-nothing" financial derivative based on a yes/no proposition with only two outcomes:

• 'Yes', the event occurs;
• 'No', it doesn't.

That means if you end up on the wrong side of a trade at final settlement, you'll lose your entire stake. Make sure you manage your risk accordingly and consider factors such as overall conviction, price, and the potential payout (risk vs. reward). 

3. Buy contracts

Contracts on prediction market sites are priced between $0.01 and $0.99. A cheaper contract indicates an event is less likely to occur but offers larger payouts. A steeper price indicates an event is more likely to occur but offers smaller payouts. 

On prediction markets, supply and demand determine price. 

4. Monitor your contract price (optional)

Once you've purchased event contracts, as a prediction market trader, you can either wait until final settlement or sell your shares at the current market price before the event ends (assuming there is adequate liquidity) to lock in a gain. 

5. Outcome settlement and payouts

Once an outcome is fully settled, the prediction market is considered finalized, and payouts are distributed. Each winning share pays $1, while the losing shares are worth nothing. 

Prediction markets allow you to invest or trade in almost anything. Sports are a major focus of many newer prediction sites, which aim to entice current sportsbook users with lower fees, better pricing, and top prediction market promos.

Larger trading sites also allow users to take positions on a wide range of real-world events beyond sports. 

Sports

Prediction markets offer outcomes that mirror traditional moneyline and game total options on sportsbooks. You can take 'Yes' or 'No' options on whether a team will win a game, with some platforms, including the best World Cup prediction market apps, also offering deeper markets, such as spreads, game props, and player totals akin to player props.  

Implied probabilities are used to show the likelihood of a team winning. 

Politics

Political trading can include anything from simple election results to the results of global conflict to how many times a political figure tweets in a day. U.S. election markets are among the most heavily traded on the largest prediction sites, such as Polymarket and Kalshi, and offer plenty of markets to choose from. 

World events, entertainment, and climate

On prediction markets, you'll be able to trade outcomes on events happening around the globe. This includes entertainment contests such as Eurovision, awards ceremonies such as the Oscars, the highs of the day in major cities, and even whether or not we'll get confirmation that aliens exist. 

Crypto

These outcomes tend to focus on price milestones for major cryptocurrencies such as Bitcoin, but can also include major industry milestones, such as blockchain events. Crypto markets tend to favor anyone already well-versed in the digital asset space. 

Prediction markets categories summary

• Politics (including U.S. elections, global leadership, and legislative outcomes)
• Sports (covering major leagues like the NFL, NBA, and global events like the 2026 World Cup)
• Economics (such as inflation, Federal Reserve interest rates, and GDP)
• Finance (including individual stock performance, market indices, and commodities)
• Crypto (tracking token prices and blockchain milestones)
• Geopolitics (focusing on international conflicts, diplomacy, and trade deals)
• Technology and AI (covering product launches and AI development benchmarks)
• Culture and entertainment (such as award show winners and box office data)
• Weather and science (tracking climate events and scientific breakthroughs)
• Mentions (trading on the frequency of specific words in public discourse)

Prediction markets come with their own set of rules and limitations.

To better understand what a prediction market is, it's important to distinguish prediction markets from other forms of investing or speculation, such as sports betting or stock market investing. 

Prediction trading vs. sports betting

Prediction market sites function as peer-to-peer exchanges where participants trade event shares based on real-time probabilities. In comparison, sportsbooks facilitate and create action by accepting bets on odds 'juiced' with site fees or margins. 

Let's look at how these different methods of speculation differ in their methodologies and results. 

🎲 Sportsbooks

Sportsbooks pit you against a house offering fixed odds. A sportsbook physically "books" your bet and will pay you from their own pocket if you win. On a sportsbook, the company's bookmakers set the odds, which include a built-in 'vig' (also known as rake or juice).

For example, a basic sportsbook spread wager may appear with lines as follows:

• Cavaliers +3.5 (-110)
• Pistons -3.5 (-110)

A $100 bet in this case would yield a profit of $90.91 on a win, or a 91% return on investment (ROI). On the other hand, the losing side would book a $100 loss, or a -100% ROI. 

If a sportsbook were to take a $100 bet on each team, it would end up taking home a $9.09 profit. This $9.09 discrepancy is also known as the vig, or the built-in fee.

🔮 Prediction markets

Peer-to-peer marketplaces like Kalshi or Polymarket don't book action; instead, they provide the means to facilitate it and charge a small, capped fee per transaction. As a result, payouts on sites tend to be much better. 

For example, a prediction market on Polymarket for an NBA spread outcome may appear as follows

• Cavaliers +3.5 $0.50 - 50%
• Detroit -3.5 $0.51 - 51%

On Kalshi, you'll see the same implied probabilities and prices but expressed in a different way:

• New York wins by over 3.5 points
• Yes: $0.51
• No: $0.50

If I buy $100 worth of Detroit shares at $0.51 to cover -3.5 and they only win by 3.0 points, I lose $100 upon settlement (the game ending).

However, if I buy $100 worth of Cleveland shares at $0.50 and they cover, at settlement, my 200 shares are now worth $1 each, and I receive $200, a $100 profit. That's an increase of $9.09 from the same bettor who used the -110 odds offered at a sportsbook. 

Prediction markets do charge fees on every winning trade, but they tend to be nominal compared to sportsbook vig. Per Polymarket, their peak effective fee is 0.75% at 50% probability on sports trades, meaning you would likely be charged under $1 in fees on the above example. 

Prediction markets vs. sportsbooks

While the primary distinction is that sportsbooks act as bookies and prediction markets function as financial exchanges, there are additional key differences worth noting. 

📊 Odds vs. probability pricing

• Sportsbooks: Use fixed odds (like -110 or +200) set by experts with built-in vig.
• Prediction markets: Prices range from $0.01 to $0.99 and are expressed as implied probabilities. Small transaction fees apply.

🎁 Bonuses and promotions

• Sportsbooks: Large, flashy welcome bonuses meant to attract casual players.
• Prediction markets: Smaller, trading-focused promos (e.g., $10–$75 in site credits) that reward active trading, such as volume bonuses or rebates, like the Kalshi promo code.

⚠️ Limitations on winners

• Sportsbooks: Known for "limiting" or banning winning players to protect their profits.
• Prediction markets: Generally do not limit winners, as the platform doesn't lose money when you win.

💰 Exit strategy (liquidity)

• Sportsbooks: Most bets are "locked in" until the event ends. While some offer "cash out" options, these are usually charged a heavy premium, favoring the house.
• Prediction markets: You can sell your position (shares) at any time before or during the event to lock in profits or cut losses, similar to selling a stock.

⚖️ Regulatory status

• Sportsbooks: Regulated state-by-state as "gambling."
• Prediction markets: Federally regulated by the CFTC as "event contracts" and often operate in states where traditional sports betting is restricted.

Prediction markets vs. the stock market

Prediction markets and stock market trading both involve buying and selling shares based on future outcomes, but they differ in asset types, payouts, and overall purpose.

Stock markets are generally seen as places where you focus on long-term ownership or growth, while prediction markets trade on specific events with end dates (e.g., elections, sports, awards). 

Some of the main differences between stock market trading and prediction trading include:

Prediction markets sit in a gray area because they combine parts of forecasting, trading, investing, and betting. They resemble gambling because people risk money on uncertain binary outcomes, in which a loss equals the total loss of capital.

They resemble trading because they constitute markets in which prices are dynamic and participants can buy and sell positions at any time. 

They're also very useful as forecasting tools because market prices can be read as collective estimates of whether an event will occur.

Why prediction markets are like gambling

✅ Participants risk money on uncertain future outcomes.

✅ Financial gains or losses depend on whether a specific real-world event happens.

✅ The core action of staking capital on a binary outcome functions much like a traditional bet.

✅ The addictive nature of trading very similar to the addictive nature of betting.

Why prediction markets are not traditional gambling

✖️ Prices and odds are set dynamically by peer-to-peer trading, not by a bookmaker taking a cut of the action.

✖️ Participants do not have to wait for the event to end. Users can buy and sell contracts at any time to cut losses or lock in profits.

✖️ The changing prices can be used to forecast public information, serving as a highly accurate tool rather than just a game of chance.

Yes, prediction markets are legal in the U.S. The reason you can use prediction markets in states where sports betting is banned (such as California or Texas) is that prediction markets are regulated by the Commodity Futures Trading Commission (CFTC), a federal financial trading authority.

This is mainly due to prediction sites using event contracts over bookmaker-produced odds.

⚠️ Where are prediction markets banned?

Some state regulators have disputed the interpretation used by prediction platforms. Recent decisions on this matter include a Massachusetts Superior Court order issued on Jan. 20, 2026, that required the prediction market app Kalshi to halt sports-related contracts in the state. 

🏛️ Regulated vs. offshore prediction markets

While most prediction markets in the U.S. operate under CFTC authority, several offshore markets are unregulated. These are mainly crypto-centric platforms that lack specific consumer protections and licensure.

Polymarket is the largest predictions platform to maintain an offshore presence (operating internationally). However, Polymarket U.S. (regulated) is a separate, regulated, and KYC (Know Your Customer)-compliant platform that launched in late 2025 and operates legally in the U.S. 

Some of the largest and most popular regulated prediction market platforms in the U.S. include:

• Kalshi
• Polymarket (U.S.)
• OG.com
• Crypto.com
• Fanatics Markets
• DraftKings Predictions
• FanDuel Predicts
• Robinhood Predicts
• Novig
• ForecastEx

Even with sportsbooks entering the prediction space at a rapid pace, the top of the market is still dominated by Kalshi or Polymarket, which together account for well over 75% of the total market cap, according to reports from February 2026.

Use our site-by-site comparison and breakdowns to learn more about these industry-leading platforms. 

🟢 Kalshi

Regulated "event contract" exchange: Kalshi positions itself as a mainstream financial utility for hedging real-world risks. 

• Institutional framework: Operates like a traditional clearinghouse with clear trading and settlement rules.
• "No death markets": Explicitly avoids "public interest" violations, meaning no markets on war, terrorism, or assassinations.
• Simplified onboarding: Users can link a bank account and trade in dollars without needing to understand blockchain or manage private keys.

🔵 Polymarket

Decentralized global powerhouse: Polymarket is the dominant global platform, leveraging crypto for speed and variety and offering a regulated site for its U.S. users. 

• Global liquidity: Operating on the Polygon network attracts high volume from a worldwide user base, often resulting in tighter spreads.
• Permissionless variety (non-U.S.): Niche or controversial markets (like global conflicts) that regulated U.S. exchanges cannot list.
• Low-fee trading: Often offers a lower-cost environment for active traders than Kalshi, though users must pay network gas fees for crypto transactions.

If you want to find more apps like Kalshi or apps like Polymarket, you can read our pages, which go into more depth.

Beyond speculation, prediction markets are widely considered one of the most powerful forecasting tools available today.

By allowing participants to buy and sell shares in the outcomes of future events, these markets generate real-time probabilities from trading prices, derived from people with 'skin in the game' — a financial incentive that encourages trading only when someone believes they have an informational edge. 

🔮 Prediction markets as a forecasting tool

Contracts in prediction markets pay $1 if an event occurs and $0 if not. This means that current trading prices show the forecast probability — e.g., a $0.65 share indicates a 65% chance. These probabilities can then help researchers, firms, and the public predict elections, economic indicators, sports awards, or clinical trial success.

Where prediction markets have performed well

• Elections: Markets like the IEM (Iowa Electronic Markets) have successfully predicted election outcomes better than polling firms.
• Economics: Major corporations (Google, Eli Lily) accurately forecasting major events and releases with success.
• Sports and entertainment: Prediction markets outperforming film critics' or expert forecasts.

Where prediction markets have failed

• 2016 political shocks: Well-publicized 'groupthink' misses during the 2016 U.S. Presidential election.
• Low liquidity: When a small number of irrational traders are able to skew probabilities.
• "Black Swan" events: Unprecedented structural breaks, such as COVID-19 or a financial crisis.

Prediction markets have risen to prominence as a hotbed for speculative traders, but also for their insight into real-world event outcomes.

🔑 Key uses for prediction markets

At their core, prediction markets function best by processing diverse data into a "hive mind" where probabilities provide insight into public opinion or trends.

Prediction markets never close, and participants must back their beliefs with real-world capital. This last key factor makes being accurate highly important for participants and takes away any gatekeeping where opinions of 'experts' only get heard. 

The fact that prediction markets operate outside of state regulatory authority, can offer lower fees (no-vig bets), and rarely impose monetary trading limits on users makes them a serious threat to the sports betting industry. 

However, while predictions are now a direct threat to traditional sportsbook businesses, which once had a monopoly on sports betting and speculation, it seems unlikely they will completely replace the sportsbook model.

Why prediction markets could replace sportsbooks

High-stakes traders, institutional hedgers, and those who favor a peer-to-peer marketplace with lower fees will still see prediction markets as the best option in most scenarios.

• Better odds: Markets have lower fees and tighter spreads than sportsbook "vig."
• No limit on winners: Prediction markets rarely ban or limit successful traders.
• Real-time trading: Users can buy and sell positions instantly to lock in profits.
• Wider legal access: Federal CFTC regulation allows operation in states where sportsbooks are illegal, such as California and Texas.
• Expanded topics: Covers non-sports events like elections, weather, and economic data.
• Market efficiency: Prices reflect the "wisdom of the crowd" rather than bookmaker models afflicted by specific bias.
• Transparency: Contract prices use clear implied probabilities (e.g., $0.65 = 65% chance).

Why sportsbooks will likely remain

Sportsbooks remain a prime destination for casual fans looking for "longshot" parlays and gamified experiences, or for those seeking short-term, profit-seeking opportunities through promos and large welcome bonuses.

• Guaranteed liquidity: Place a bet instantly, no waiting for the other side to take a trade.
• Simple user experience: Less complex with no trading knowledge required.
• Aggressive promotions: Larger welcome bonuses and promos.
• Massive market variety: Deeper selection of sports and player prop options.
• Parlays and teasers: Better online parlay tools that allow 'lotto ticket' like bets.
• Established regulation: State-licensed brands with clear consumer protection laws.
• Social and media integration: Partnerships with the biggest leagues (NFL, MLB, NBA).
• In-person availability: Physical casinos and sportsbook options that prediction markets lack.