TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 5, 3:59 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the second half of a college football game between Kent State and South Carolina. Each market corresponds to a specific margin of victory threshold that must be exceeded by either team during that half to determine the outcome.
All markets resolve based solely on points scored during the second half of play, excluding any overtime periods. For South Carolina markets, resolution occurs if the team wins the second half by more than the specified point margin. For Kent State markets, resolution requires the team to win the second half by more than the stated margin. If the originally scheduled game is postponed but commences within 48 hours of its start time, all markets remain active and resolve according to the final official result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point differential thresholds defined across the various markets.
Typically, prediction market odds reflect the wisdom of the crowd, often converging with—and sometimes diverging from—sportsbook odds. Sportsbooks set initial lines based on their own analysis, incorporating factors like team statistics and player injuries. This market, however, allows individuals to trade on their own predictions, potentially leading to odds that differ from those offered by sportsbooks, especially as new information becomes available. Discrepancies can arise due to differing levels of information, biases, or simply varying interpretations of the same data. It's common to see this market adjust rapidly to news that impacts the perceived likelihood of different outcomes.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads. The price of each contract reflects the market's collective assessment of the probability of that spread occurring. As more traders participate, the price fluctuates based on supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more a particular spread is bought, the higher its price rises, indicating increased confidence in that outcome. Conversely, increased selling pressure lowers the price, suggesting a diminished probability. This dynamic pricing mechanism allows the market to efficiently incorporate new information and adjust expectations in real-time.
This market resolves around Sep 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread for the second half of the Kent State vs. South Carolina game will be determined by official game statistics. The contracts will then pay out based on whether the actual spread falls within the ranges defined by the different contract options available on Kalshi. The resolution process relies on publicly available data to ensure an objective and transparent outcome for all participants in this market.
Several factors could significantly influence the Kent State vs. South Carolina spread between now and game time. Any news regarding key player injuries on either team would likely cause a shift in the market, as would updates on team strategies or changes in coaching decisions. Unexpected weather conditions, particularly if they favor one team's playing style, could also impact trading activity. Furthermore, major shifts in public sentiment, perhaps driven by expert analysis or prominent sports commentators, could lead to changes in the price of contracts within this market. Any late-breaking news has the potential to move the odds.