TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 4:09 PM EST
Kalshi
The event centers around a college football game where two teams compete, and the occurrence of a specific type of scoring play by either team during the match determines a particular condition. This condition relates to scoring via defensive or special teams plays. The focus is on whether such a scoring event happens in the game as originally scheduled.
If Rutgers and Maryland collectively record at least 1 defensive or special teams touchdown in the Rutgers vs Maryland college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.
Typically, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, representing their profit margin. This market, being driven by individual traders’ beliefs, can sometimes present more favorable odds, especially if there’s disagreement among participants. However, it's also possible to see convergence with sportsbook odds as the event approaches and more information becomes available. Discrepancies can arise from differing opinions on team performance, potential injuries, or even weather conditions.
On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing a 'yes' or 'no' outcome to the question of whether a defensive or special teams unit will score a touchdown in the Rutgers vs Maryland game. The price of these contracts reflects the collective probability that traders assign to that outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information emerges, the price will adjust, providing a real-time assessment of expectations. The current price indicates the implied probability of a D/ST touchdown.
This market resolves around Oct 17, 2026, following the completion of the Rutgers vs Maryland game. The outcome will be determined by whether a defensive or special teams unit from either team scores a touchdown during the game, as verified against credible public reporting of the final game statistics. Official game logs and reporting from established sports news outlets will be used to confirm the result. The final score and play-by-play details will be the basis for determining whether a D/ST touchdown occurred.
Several factors could influence the price of this market before the game concludes. Any news regarding key defensive players for either Rutgers or Maryland, such as injuries or suspensions, would likely have a significant impact. Unexpected weather conditions, particularly those that might favor a strong running game and increase the chance of turnovers, could also move the market. Furthermore, any shifts in public perception or expert analysis regarding the teams’ defensive capabilities could drive trading activity and alter the price of this market.