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: Sep 5, 4:00 PM EST
Kalshi
The market centers on whether the college football game between Kent St. and South Carolina, scheduled for September 5, 2026, will go into overtime. Overtime occurs when the game is tied at the end of regular play, necessitating additional periods to determine a winner. The outcome hinges on whether players and officials proceed to these extra periods after the standard game time concludes.
If at least 1 overtime period is played in the Kent St. vs South Carolina college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes.
Compared to traditional sportsbook odds, prediction market odds for this market often reflect a more nuanced outlook, incorporating a wider range of participant perspectives. While sportsbooks may lean on expert analysis and historical trends, prediction markets aggregate real-money bets from traders reacting to new data, which can create tighter or more volatile pricing depending on recent developments and public sentiment.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders set the price through continuous bidding and asking, with the current top outcome reflecting the aggregate view of market participants. The probability displayed represents the inverse of the best ask price, and volume of $43 shows overall interest. Price shifts depend on trading activity, news, and shifts in perceived likelihood as the game date nears.
This market resolves around Sep 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Traders will find the result settled based on whether the game goes into overtime, with no additional interpretation needed beyond official game records and post-game reports.
Injuries to key players, weather conditions, and shifting team rankings can all influence this market. As new practice reports, coaching strategies, or betting trends surface, traders may adjust positions, causing odds to fluctuate. Media coverage and analyst updates leading up to the game can also create momentum swings, reflecting evolving expectations about the likelihood of overtime.