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 6, 11:54 PM EST
Kalshi
In the upcoming college football game between Wisconsin and Notre Dame, both teams' defensive and special teams units will aim to score touchdowns by intercepting passes, fumbling the ball, or blocking kicks and returning them for points. The outcome hinges on whether either team achieves this feat at least once during the contest.
If Wisconsin and Notre Dame collectively record at least 1 defensive or special teams touchdown in the Wisconsin vs Notre Dame college football game originally scheduled for Sep 6, 2026, then the market resolves to Yes.
Generally, prediction market odds often reflect a 'wisdom of the crowd' perspective, potentially differing from those set by sportsbooks. Sportsbooks establish lines based on their own models and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals willing to put their capital behind their beliefs. While sportsbooks may initially set odds based on statistical analysis, prediction markets can dynamically adjust as new information emerges and more traders participate, potentially offering a different perspective on the likelihood of a defensive touchdown.
On Kalshi, this market is priced through a continuous order book, meaning traders are constantly buying and selling contracts representing their belief about whether a defensive touchdown will be scored. The price of a 'Yes' contract reflects the probability of a defensive touchdown occurring, while a 'No' contract represents the probability of it not happening. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy 'Yes' contracts, the price increases, and vice versa. This dynamic pricing mechanism allows the market to aggregate information and produce a real-time assessment of the event's likelihood, based on the collective judgment of participants.
This market resolves around Sep 7, 2026, following the conclusion of the Wisconsin vs Notre Dame football game. The outcome will be determined by whether a defensive touchdown is officially recorded in the game statistics by credible sports reporting sources. The resolution will be verified against credible public sources to ensure accuracy. The market will then settle based on whether a defensive touchdown occurred – a 'Yes' outcome if one was scored, and a 'No' outcome if not. Traders holding contracts will receive payouts accordingly.
Several factors could influence the price of this market before the game concludes. News regarding key defensive players for either Wisconsin or Notre Dame – such as injuries or suspensions – could significantly shift trader sentiment. Changes in weather forecasts, particularly conditions favoring strong defensive play, might also impact the market. Unexpected announcements about coaching strategies or defensive schemes could also play a role. Finally, any significant shifts in public perception or betting trends, as reflected in sportsbook odds, could also contribute to movement in this market.