TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 1:45 PM EST
Polymarket
More markets for the Süper Lig game, scheduled for October 10 at 9:00 AM ET.
More markets for the Süper Lig game, scheduled for October 10 at 9:00 AM ET.
Generally, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines based on statistical models and expert analysis, but may also incorporate a profit margin. This market, however, is driven by individuals wagering their own capital, leading to potentially more accurate probabilities as new information emerges. Discrepancies can arise due to differing opinions, access to information, or simply the dynamics of supply and demand within the prediction market.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing their belief in the outcome. The price of a share directly corresponds to the probability of that outcome occurring, as perceived by the market participants. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the price will fluctuate, reflecting the evolving consensus. The current price indicates the collective prediction of the crowd regarding the result of the Samsunspor vs. Trabzonspor match.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Samsunspor vs. Trabzonspor match, as officially reported by a recognized sports data provider, will determine the winning outcome in this market. Traders who correctly predicted the result will be entitled to a payout based on the final share price at the time of resolution. The resolution process is designed to be transparent and based on objective data.
Several factors could influence the price of this market before resolution. Any news regarding player injuries, changes in team lineups, or unexpected coaching decisions could shift the perceived probabilities. Furthermore, real-time performance during the match itself – such as early goals, red cards, or significant tactical adjustments – will likely cause rapid price movements. Broader factors like weather conditions and overall team morale could also play a role in shaping market sentiment and driving trading activity.