TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 13, 1:09 AM EST
Kalshi
This prediction group concerns the total points scored in the college football game between Georgia Southern and Clemson on September 12th. Users are predicting whether the combined score will exceed various thresholds.
All markets resolve based on whether the combined score of Georgia Southern and Clemson exceeds specified point thresholds in their game scheduled for September 12, 2026. If the game is postponed but starts within 48 hours of the original time, all markets remain open and resolve according to the final score. If the game does not start within this window, all markets resolve to a fair price. Kalshi explicitly states it is not affiliated with the NCAA, and all trademarks remain property of their respective owners.
In the upcoming college football game between Georgia Southern and Clemson, scheduled for September 12 at 7:30PM ET: This market will resolve to "Georgia Southern" if Georgia Southern win the game. This market will resolve to "Clemson" if Clemson 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 for this market, often reflect a different type of information than traditional sportsbook odds. Sportsbooks set lines based on statistical models and attempt to balance action on both sides, while prediction markets represent the aggregate beliefs of informed traders. This can lead to discrepancies, as prediction markets may incorporate unique insights or respond more quickly to new information. Generally, prediction markets are considered highly efficient and can sometimes offer more accurate forecasts than sportsbooks, especially when there is significant trading volume. However, it’s important to remember that both offer different perspectives on the likely outcome.
Prices on Kalshi and Predict may differ due to variations in trader participation, market design, and the information available to each group. Kalshi and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. For example, Kalshi might attract a different demographic of traders than Predict, leading to differing opinions on the likely total points. Furthermore, the specific rules and fee structures of each platform can influence trading behavior. It’s also possible that one platform has seen more trading activity than the other, resulting in a more refined price. These factors contribute to the observed price discrepancies in the Clemson-Georgia Southern total points market.