Prediction markets are still new, and that means there are things about them that don't work like normal betting or stock trading.

In a normal sportsbook, odds are set by a bookmaker. They decide the price, adjust it when money comes in, and if something happens during a live event they might suspend the market and reopen at a new price. The edge is about who knows more about the teams.

In a stock market, information distribution is regulated. Company announcements hit everyone at the same time, at least in theory. Insider trading is illegal. The edge is about who reads the data better.

Prediction markets work differently. They are open markets where anyone can join and trade. There is no central odds maker setting prices — movement is driven purely by free market dynamics. And there is no regulated information distribution. If you see something happen before someone else does, you can trade on it before they even know what happened.

So the real question is not simply "can you predict better?" The question is: does having information a few seconds earlier than other traders actually matter, and if so, how much?

Say you are watching a World Cup match live in the stadium. You see the goal, the red card, the injury — ten seconds before the broadcast carries the image, maybe twenty seconds before someone watching on a stream sees it. By the time they know what happened, the market may have already moved.

That timing gap is the core of what people call an information edge in live prediction markets.

The simple version

In a live event, information does not reach everyone at the same time.

A person in the stadium sees the play first. An official data provider may receive the event next. A sportsbook or market maker may update after that. A TV broadcast may be delayed. A streaming app may be delayed even more. A trader watching on a phone may be last.

That timing gap can matter.

real event → stadium viewers → official data/feed → market makers → TV/stream viewers → casual traders

The exact order is not always the same, but the principle is: live markets are partly about who knows what, and when.

Courtsiding: the extreme version

The best-known version is called courtsiding.

Courtsiding means using information from inside a sporting event for betting or trading, often before that information reaches public broadcasts or slower data feeds. In tennis, for example, a person courtside might see a point end before a TV viewer or online stream catches up.

That does not mean every person at a match has a clean edge. Venues may restrict this behavior. Platforms may suspend markets during key points. Professional data and trading systems may be faster than a normal human with a phone.

But the reason the concept exists is real: broadcast and data latency can create temporary information gaps.

Why being in the stadium can matter

Being physically present can matter because the stadium is the original source of the event.

You can see:

  • a goal before the broadcast shows it;
  • an injury before commentators explain it;
  • a red card or VAR review before casual viewers understand the impact;
  • weather, crowd, or field conditions before they are reflected in market prices;
  • substitution or warm-up signals before they hit public feeds.

In a slow market, that might not matter much. In a liquid live market, a few seconds can be enough for the price to move.

The key point is not just “stadium good, TV bad.” The key point is latency.

Why the edge is not automatic

It is tempting to hear this and think: just go to the match and trade faster.

In practice, it is harder than that.

First, markets suspend during key moments. If a goal, point, injury, or review happens, the market may pause or widen before a normal user can trade.

Second, bots and market makers process data faster than a person can type.

Third, stadium connectivity is often bad, especially during large events.

Fourth, platforms may ban courtsiding-like behavior as abusive or against rules.

Fifth, a visible event is not always enough. You still need to know whether the event changes the market more than the current price already implies.

So the useful lesson is not “stadium attendance equals free money.” It is: live markets can move because different traders receive information at different speeds.

What counts as an information edge?

An information edge can come from several places.

1. Faster observation

You see the event before others: a goal, point, penalty, injury, knockout, red card, or substitution.

2. Faster data

You have access to a quicker official feed, live-stat provider, exchange feed, or alert system.

3. Better context

You understand why an event matters more than other traders do. For example, a substitution may matter more if it changes the tactical shape, not just the player list.

4. Faster interpretation

Everyone sees the same event, but you understand the market implication sooner.

5. Better execution

You can act before the market suspends, reprices, or becomes illiquid.

The strongest live-market edges often combine more than one of these.

How odds update

In a traditional sportsbook, the operator may update odds directly, often using internal models, traders, and data feeds. Markets may suspend during high-risk moments and reopen at a new price.

In a prediction market or exchange-like market, prices move because traders place orders. But the effect can look similar: if faster traders know something happened, they buy one side, sell the other, cancel stale orders, or widen spreads. The visible chart then jumps.

That is why a live chart can move before a slower viewer understands the reason.

new information reaches fast traders → stale prices get taken or cancelled → liquidity shifts → visible odds move

The market is not magic. It is just updating through the people and systems that received the signal first.

What to check when a live market suddenly moves

If a live sports market moves and you do not know why, ask:

  1. Did something happen in the game before my feed showed it?
  2. Was there a broadcast or stream delay?
  3. Did an official data feed update before the public broadcast?
  4. Did the market suspend and reopen at a different price?
  5. Did liquidity disappear before the move?
  6. Was there an injury, card, review, substitution, lineup change, weather issue, or venue factor?
  7. Did another related market move at the same time?

The goal is to separate random price movement from information-driven repricing.

Why this matters for prediction-market users

Prediction-market users often think the edge is only about forecasting the final outcome.

In live markets, the edge can also be about timing.

Two traders can have the same opinion about who will win. The trader who sees the injury, goal, or official update first may still have the better trade.

That is why live prediction markets can feel unfair or confusing from the outside. The chart may already be reacting to information you have not seen yet.

How Catalyst fits

Catalyst is built around the after-the-fact version of this problem. When a market chart jumps, the useful question is: what information arrived, who saw it first, and why did that change the price?

Catalyst helps users inspect market moves with context faster. It does not create a live trading edge by itself, but it supports the habit that matters: connect the chart move to the event, source, or timing mechanism behind it.

// Catalyst

Understand why a market moved

Catalyst helps prediction-market users connect chart moves to the rules, sources, events, and context behind them — directly on Polymarket and Kalshi.

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Source notes

  • Courtsiding overview: the practice of transmitting information from sporting events for gambling or placing bets from the event, often exploiting latency between the venue and broadcasts/streams.<br>https://en.wikipedia.org/wiki/Courtsiding
  • In-play/live betting mechanics and market suspension behavior are commonly discussed in sportsbook and exchange contexts; exact implementation varies by platform.
  • For prediction markets specifically, the practical mechanism is order flow: faster traders can take stale prices, cancel orders, or change liquidity when new information arrives.