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%
Time left: 03d:00h:59m
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This group covers markets on the college football game between South Carolina State and Howard, scheduled for November 5th. Markets include predicting the winner, point spreads, and the over/under total points scored. Resolution is based on the official outcome of the game.
In the upcoming college football game between South Carolina State and Howard, scheduled for November 5 at 5:00PM ET: This market will resolve to "South Carolina State" if South Carolina State win the game. This market will resolve to "Howard" if Howard win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Resolution is determined by the result of the South Carolina St. versus Howard college football game on November 5, 2026. If Howard wins, the market resolves to Yes for that outcome; if South Carolina St. wins, the market resolves to Yes for that outcome. Games postponed but starting within 48 hours remain active and resolve based on the final result. Cancellations or failures to commence within 48 hours result in a fair price resolution. Kalshi is unrelated to the NCAA, and all trademarks are owned by their respective parties.
In the upcoming college football game between South Carolina State and Howard, scheduled for November 5 at 5:00PM ET: This market will resolve to "South Carolina State" if South Carolina State win the game. This market will resolve to "Howard" if Howard win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Prediction market odds, like those found on Polymarket and Kalshi, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set initial lines based on statistical models and expert analysis, while this market’s prices are driven by actual money being wagered. This can lead to discrepancies, especially as new information emerges or public sentiment shifts. Often, prediction markets are more accurate than traditional forecasts, as they aggregate diverse opinions and incentivize accurate predictions.
Prices on Polymarket and Kalshi can diverge due to several factors. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform has its own user base, trading fees, and market-making dynamics, which can influence price discovery. Different liquidity levels on each platform also contribute to price variations. Furthermore, the specific market structures offered – for example, Polymarket focuses on South Carolina State vs. Howard: 2H Moneyline, while Kalshi centers on South Carolina St. wins – can attract different types of traders and lead to distinct price signals. These differences highlight the benefit of cross-platform tracking.
This market resolves around Nov 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the South Carolina State vs. Howard game, as reported by official sources, will determine the winning outcome in this market. Traders who correctly predicted the result will be paid out according to the market’s payout structure at the time of resolution. It’s important to monitor the event closely as the resolution date approaches.
Several signals could influence the price of this market. Any news regarding player injuries, changes in coaching strategies, or unexpected team performance in preceding games could shift trader sentiment. Significant media coverage or public endorsements could also play a role. Furthermore, large volume trades on either Polymarket or Kalshi could indicate informed traders taking positions, causing prices to move. Monitoring these factors will be crucial for understanding potential shifts in this market before its resolution.