How to analyse a Polymarket sports wallet

This guide shows how to read a sports wallet using PlayStat's radar and research desk. The current research prototype simulates following observed trades. Their paper results are different from the source wallet's own results.

Where wallet analysis fits into a sports prediction

PlayStat's planned game pages will compare PlayStat forecasts with market-implied probabilities. Wallet analysis adds context about observed activity around those markets.

Keep the three views distinct:

• A PlayStat forecast is the platform's own forecast for an outcome.
• A market-implied probability comes from the market price. It reflects the market's view and can change as trading continues.
• Wallet activity records observed trades. A large position is not itself a probability estimate or proof that a forecast is correct.

When comparing a forecast with the market, use the same outcome and record when each observation was made. A full-match winner and a first-half result are different questions, even if they involve the same teams.

The forecast comparison and full game coverage are planned features. The workflow below uses the current sports radar and paper research desk.

Start with the market and the selection

A game can have several markets. A wallet buying a team to win is making a different trade from a wallet buying the under on total goals.

For an observation you want to investigate, record:

• The event and exact market question.
• The outcome bought or sold.
• The source trade time and when your tracker first observed it.
• The price, number of shares and trade value.

Check the original market's rules as well as its name. Otherwise, two trades on the same game can look like agreement when they refer to different outcomes.

In PlayStat's sports radar, start with a sport or a wallet. Use the research desk to inspect the evidence around its paper results.

Keep source-wallet results and paper results separate

Source-wallet activity describes the trades observed from that wallet. A paper study asks a different question: what happened when a simulated follower tried to act after observing those trades?

The simulated entry can happen later and at a different price. Some observations may be skipped. The study can also use a different stake from the source wallet.

A positive paper result does not establish the source wallet's total profit. A source wallet's historical profit does not establish that a follower could reproduce it.

Write down which result you are reading before comparing wallets. Keep the study's start date, stake rules and execution assumptions alongside it.

Read profit alongside the entry price

An 80% win rate sounds impressive until you see the prices.

Consider this fictional example. It is a calculation exercise, not a PlayStat result or a suggested trading strategy.

Assume ten separate binary markets, with a $100 position bought at $0.80 in each market. Every position is held to resolution, and each market pays either $1 or $0 per share. There are no split payouts in this example.

Each $100 position buys 125 shares. A winning position returns $125, including the original $100, for a $25 profit. A losing position loses $100. This follows the binary payout mechanics in Polymarket's positions documentation.

The win rate is 80%, but the result before costs is zero. If we assume another $10 in total costs for this exercise, the net result is a $10 loss.

That $10 is an illustrative assumption, not a quoted Polymarket fee. Actual fees depend on the market and trade; check the applicable parameters and the current fee documentation.

When comparing results, check whether the displayed figure includes costs and whether open positions are included. A realised result describes closed activity. It does not tell you how every remaining position will resolve.

Count games, not just trades

Twenty fills on one game do not provide the same spread of evidence as twenty different games. A wallet may build a position in several smaller orders, or trade multiple markets tied to the same match.

Start with completed games and the observation period. Then check whether a few events account for most of the result.

Useful questions include:

• How many games are fully closed?
• How many complete weeks does the record cover?
• Does one winning game account for most of the profit?
• Were losing wallets and losing periods retained?
• How was the wallet selected for the study?

Choosing wallets because they recently appeared near the top of a leaderboard can affect what the sample looks like. Record that selection rule. A short winning run is an observation to investigate; it does not establish a repeatable advantage.

PlayStat's research desk displays game samples and evidence limits alongside its current paper figures. Read those together rather than treating a headline percentage as a rating of the person behind the wallet.

Check whether the price was available

A source trade price is a record of an earlier transaction. It is not a promise that another order could execute at that price.

Polymarket distinguishes its displayed price from executable bids and asks. A later buyer may face a different quote, spread or available quantity. Its prices and order book documentation explains that distinction.

For a paper study, check the observation delay, simulated fill price and any skipped entries. Preserve missing valuations as unknown rather than replacing them with zero.

This helps explain why a paper follower's results can differ from the source activity even when both refer to the same market.

Treat a large trade as a research lead

An unusually large trade can be worth examining. Size alone does not reveal why it happened.

Check whether the trade is large relative to that wallet's usual activity. Look at the exact selection, timing and other sides of the market. Several wallets appearing in one event may be taking opposing positions.

Public activity does not establish inside knowledge or coordination. A useful research note states what was observed and what remains unexplained.

For example: "Several wallets traded this event during the observation window; the selections differed." That is more informative than labelling the group "smart money" without further evidence.

Save a short evidence note

Before using a wallet observation in a sports prediction article, keep a record you can revisit:

Separate what the wallet did from your interpretation of it. If the observation later develops into a published analysis, retain the original cutoff and add the later outcome as a dated update.

Open PlayStat's research desk, choose a wallet and read its result alongside its completed-game sample. Keep the paper-study rules in view while you compare.

PlayStat's current dashboard is a paper research environment. Simulated results do not establish future returns or a wallet's complete trading record.