TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 21, 8:01 PM EST
Kalshi
This market tracks the outcome of the professional CONMEBOL Sudamericana soccer match between Club Nacional de Football and CA Tigre scheduled for July 21, 2026. The aggregated consensus probability that CA Tigre will win is 100.0%, with Club Nacional de Football winning at 0.1%, based on data from Polymarket and Kalshi, and resolved via https://www.conmebol.com/sudamericana/. Watch the match result on July 21, 2026, to see which team claims victory after 90 minutes plus stoppage time.
This event is for the upcoming Copa Sudamericana game, scheduled for Tuesday, July 21, 2026 between Club Nacional de Football and CA Tigre.
Resolution is based on the final result of the Nacional vs Tigre professional CONMEBOL Sudamericana soccer game originally scheduled for July 21, 2026, evaluated after 90 minutes plus stoppage time (excluding extra time or penalties). The event resolves to one of three outcomes: Nacional wins, Tigre wins, or the match ends in a tie. If the game is cancelled or rescheduled to more than two weeks away, the market will resolve to a fair price in accordance with the rules.
Prediction markets and sportsbooks price outcomes differently because they operate under distinct incentive structures. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets aggregate trader beliefs directly through supply and demand. Prediction market prices often reflect sharper, less-biased estimates because traders risk real capital on accuracy. However, sportsbooks may incorporate additional data streams, injury reports, or late-breaking news faster than decentralized markets. Comparing this market's odds across both venues and against major sportsbooks can reveal mispricings worth exploiting, especially if one venue lags in incorporating new information.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Price differences between venues typically stem from distinct user bases, liquidity pools, and fee structures. Polymarket and Kalshi may attract traders with different information sets, risk tolerances, or time horizons, causing temporary divergence. Platform-specific mechanics—such as withdrawal delays, trading hours, or minimum position sizes—can also create arbitrage opportunities. Additionally, one venue may react faster to breaking news or social media signals than the other. Monitoring these spreads helps you identify whether price gaps reflect genuine disagreement or temporary inefficiency worth trading.
Key injury announcements, team roster changes, or coaching decisions can significantly shift odds as traders reassess each side's chances. Recent form, head-to-head records, and any public statements from players or management may trigger repricing. Weather conditions, venue factors, or travel logistics closer to the match date can also influence sentiment. Major betting syndicates or sharp money entering either venue may signal new conviction, prompting other traders to follow. Social media momentum, expert predictions, and late-breaking tactical news often drive final price moves in the hours before kickoff. Monitoring these catalysts helps you anticipate market swings and time your trades strategically.