TOTAL VOLUME:
$133.6b
24H VOL:
$92,851,721
24H TRANSACTIONS:
2,371,557,760
OPEN INTEREST:
$1,376,165,751
370,286
Markets across
29,142
events
MATCHED EVENTS:
2,555
PLATFORM COVERAGE:
5
Polymarket:
40%
VS.
Kalshi:
60%
$
This market tracks whether a pick-six—an interception returned for a touchdown—will be scored in the Gardner-Webb versus Marshall college football game. Currently, the consensus probability of a pick-six being scored is 100.0%. This forecast is an aggregation of views from Polymarket, Predict, and Kalshi, and will be resolved based on data reported at https://www.ncaa.com/. Keep an eye on the game itself, scheduled for September 26th, as the outcome will depend on turnovers and defensive plays during the game.
In the upcoming college football game between Gardner-Webb and Marshall, scheduled for September 26 at 3:30PM ET: This market will resolve to "Gardner-Webb" if Gardner-Webb win the game. This market will resolve to "Marshall" if Marshall 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.
The market resolves based on the winner of the Gardner-Webb versus Marshall college football game scheduled for September 26, 2026. If the game is postponed but begins within 48 hours of the originally scheduled start time, the market will remain open and resolve based on the official final result. If the game is cancelled or not started within 48 hours of its originally scheduled start, the market will resolve to a fair price. Kalshi is not affiliated, associated, authorized, endorsed by, or in any way officially connected with the NCAA. All trademarks, logos, and brand names are the property of their respective owners.
In the upcoming college football game between Gardner-Webb and Marshall, scheduled for September 26 at 3:30PM ET: This market will resolve to "Gardner-Webb" if Gardner-Webb win the game. This market will resolve to "Marshall" if Marshall 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.
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. Differences in pricing between Polymarket and Kalshi can arise from several factors. Each platform has its own user base, trading dynamics, and fee structures. The volume traded on each platform also plays a role; higher volume generally leads to tighter spreads and more accurate pricing. Additionally, the specific market types offered—for example, a spread versus a simple win/loss outcome—can influence how traders assess the probabilities of the Gardner-Webb vs. Marshall game. These factors contribute to the observed price variations.
This market resolves around Sep 26, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Gardner-Webb vs. Marshall game will be used to determine the winning outcome in this market. Traders will be able to see the final result and the corresponding payouts on both Polymarket and Kalshi once the game has concluded and the official results are available. The market’s resolution will reflect the final, official score of the game.
Several factors could influence trading activity and shift the odds in this market before Sep 26, 2026. Key player injuries or unexpected changes in team lineups for either Gardner-Webb or Marshall would likely have a significant impact. News regarding coaching strategies or weather conditions could also affect trader sentiment. Furthermore, any major upsets in other college football games could indirectly influence perceptions of team strength and impact the volume and pricing within this market. Monitoring these signals can help understand potential shifts in the predicted outcome.