TOTAL VOLUME:
$154.1b
24H VOL:
$185,665,189
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,833,875,329
407,365
Markets across
40,470
events
MATCHED EVENTS:
4,365
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 9:30 PM EST
Kalshi
This set of markets tracks how many points each team will score in an upcoming college football game. Each market represents a different scoring threshold, allowing participants to speculate on whether a team will exceed specific point totals.
All markets resolve based on the official final point total scored by each team in the Kent St. vs South Florida college football game scheduled for October 17, 2026. If the game is postponed but commences within 48 hours of its original start time, all markets remain open and resolve according to the final result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, determined under conditions outlined by the platform. Each individual market specifies a unique point threshold for each team; if the team's final score exceeds the stated threshold, that market resolves to 'Yes,' otherwise it resolves to 'No.' The markets cover a range of scoring benchmarks for both teams, allowing for varied speculation on offensive performance.
Generally, prediction market odds often reflect the 'wisdom of the crowd,' potentially differing from initial sportsbook lines which can be influenced by factors like public bias or sharp action. Sportsbooks set lines to balance action, while this market’s price is purely driven by individuals willing to buy or sell based on their beliefs about the game's outcome. Over time, prediction markets have demonstrated a tendency to be more accurate than traditional polls or even early sportsbook odds, as they aggregate information from a diverse range of participants. However, sportsbook odds can still provide a useful benchmark for comparison.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their predictions. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. As more people buy contracts predicting a specific team total, the price increases, indicating a higher perceived probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s price dynamically adjusts based on supply and demand, offering a real-time assessment of expectations for the Kent State vs South Florida game. This creates a fluid and responsive pricing mechanism.
This market resolves around Oct 18, 2026, with the outcome confirmed once the final team totals from the Kent State vs South Florida game are verifiable from credible public reporting. The official scores reported by a recognized sports data provider will determine whether the contracts pay out based on whether the actual team totals exceeded or fell short of the market’s implied prediction. The resolution process is designed to be objective and transparent, relying on publicly available data to determine the winning contracts. Traders will be able to view the resolution details on Kalshi.
Several factors could influence the price of this market before the game concludes. Any news regarding key player injuries for either Kent State or South Florida would likely cause significant movement, as would updates on weather conditions that could affect the scoring environment. Changes in public perception, driven by expert analysis or media coverage, could also shift the market's price. Finally, large trading volume from informed participants could indicate new information or a change in sentiment, leading to price adjustments in this market. Monitoring these signals can help traders make more informed decisions.