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One prediction market trader walked away with a multi-million dollar profit Monday after World Cup debutant Cape Verde held tournament favorite Spain to a scoreless draw.
The result was one of the biggest upsets of the tournament so far. Spain entered the match as one of the favorites to win the World Cup and was heavily favored in prediction markets leading up to kickoff.
Intelligent Trading Pays Off
According to public trading records, a recently created Polymarket account built a large position against Spain winning outright while also backing Cape Verde to stay within the spread. When the match ended 0-0, both positions paid out, generating a profit estimated at roughly $9 million.
The trade quickly attracted attention from market participants because of both its size and timing. The account was only created recently and deployed several million dollars into a market where Spain was considered an overwhelming favorite.
Still, large wins and losses are not uncommon in prediction markets, particularly during major sporting events. Traders frequently take concentrated positions when they believe market odds differ from the true probability of an outcome. Additionally, professional traders frequently use multiple accounts to spread out their positions and avoid signaling their trades to competitors.
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The other side of the trade appears painful. Another account reportedly lost close to $1 million backing Spain to win the match. Because Spain was priced as such a heavy favorite, the potential upside on the position was relatively limited compared to the amount of capital at risk.
The match itself generated significant trading activity. Tens of millions of dollars changed hands across World Cup markets as traders reacted to one of the tournament’s most surprising results. The trade also highlights one of the more unique aspects of crypto-based prediction markets.
Publicly Available Trading Data
While users can trade under pseudonyms, transactions and positions remain publicly visible on-chain. As a result, other market participants can review large trades, track wallet activity, and analyze how major positions perform after the market settles. It’s important to note that much of what appears to be potential insider activity is really just sharp money moving through different wallets.
Whether the winning trade was the result of a strong model, conviction, or simply being on the right side of a low-probability outcome is impossible to know from public data alone
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