TOTAL VOLUME:
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2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
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MATCHED EVENTS:
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PLATFORM COVERAGE:
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Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 10:08 PM EST
Kalshi
This market focuses on determining which team will score more points in a specific quarter of a college football game between Ohio State and USC. It provides a way to bet on short-term performance rather than the overall game outcome. The resolution depends solely on the third quarter's scoring dynamics.
If USC wins the 3rd quarter of the Ohio St. vs USC college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If Ohio St. wins the 3rd quarter of the Ohio St. vs USC college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the Ohio St. vs USC college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often proving more accurate than traditional sportsbook odds, especially as an event approaches. Sportsbooks set lines based on their own analysis and to balance action, while this market aggregates the beliefs of many individual traders. However, there can be short-term discrepancies. If sportsbook odds significantly differ from those found here, it could indicate an opportunity for arbitrage, though transaction costs and market liquidity should be considered. It's important to remember that both represent probabilities, but are derived through different mechanisms.
This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the third quarter in the Ohio St. vs USC game will determine the outcome. The platform will verify the result against official game statistics and reporting to ensure accuracy. Traders holding contracts for the winning team will receive a payout, while those holding contracts for the losing team will forfeit their investment. This resolution process is designed to be transparent and based on objective data.
Several factors could influence the price movement of this market. Any news regarding injuries to key players on either team – Ohio St. or USC – would likely have a significant impact. Changes in weather conditions, particularly if they favor one team’s playing style, could also shift expectations. Furthermore, in-game performance during the first and second quarters could lead traders to reassess the probabilities, causing prices to fluctuate. Public sentiment and expert analysis, while not directly reflected in the market, can also indirectly influence trading activity and therefore, prices.