TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 04d:16h:14m
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This group covers markets related to the college football game between Robert Morris and Duquesne, scheduled for November 7th. Markets include predicting the winner, the point spread, and the total points scored in the game. Multiple platforms offer markets on the same event with varying conditions.
In the upcoming college football game between Robert Morris and Duquesne, scheduled for November 7 at 12:00PM ET: This market will resolve to "Robert Morris" if Robert Morris win the game. This market will resolve to "Duquesne" if Duquesne 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.
Markets resolve based on the winning team of the college football game originally scheduled for November 7, 2026. If the game is postponed but begins within 48 hours of the originally scheduled start time, markets remain open and resolve based on the official final result. If the game is cancelled or not started within 48 hours of the originally scheduled start, markets resolve to a fair price. Kalshi states it is not affiliated with the NCAA, and all trademarks, logos, and brand names are property of their respective owners.
In the upcoming college football game between Robert Morris and Duquesne, scheduled for November 7 at 12:00PM ET: This market will resolve to "Robert Morris" if Robert Morris win the game. This market will resolve to "Duquesne" if Duquesne 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 in this market, often differ from traditional sportsbook odds due to the differing incentives and information sources. Sportsbooks primarily aim to set lines that balance betting action and ensure profit, while prediction markets incentivize participants to express their genuine beliefs about the likelihood of an event. This can lead to prediction markets incorporating a wider range of data and potentially offering more accurate probabilities, especially when there's significant public information available. However, liquidity and market maturity also play a role; this market’s volume of $357 impacts price discovery.
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. Price discrepancies between Polymarket and Kalshi can arise from several factors, including differing user bases, trading fees, and market-specific rules. Each platform attracts a unique set of traders with varying expertise and risk appetites, leading to distinct price formations. Furthermore, the volume traded on each platform—currently $357 overall—influences price stability and responsiveness to new information. The differing interfaces and trading mechanisms on Polymarket and Kalshi can also contribute to these observed price variations.
This market resolves around Nov 7, 2026, with the outcome confirmed once the result of the Robert Morris vs. Duquesne game is verifiable from credible public reporting. The final score and official result will be used to determine the winning outcome. Traders should monitor official sources for the game's final results as the resolution date approaches. The outcome will be determined by the official result of the game, as reported by a recognized sports authority.
Several signals could influence this market before Nov 7, 2026. Any significant news regarding player injuries, coaching changes, or team performance could shift trader sentiment. Unexpected announcements about game conditions, such as weather forecasts, may also play a role. Public perception, as reflected in social media and sports news, can also impact trading activity. Major upsets in other games involving these teams could also indirectly influence the probabilities, as traders reassess their expectations for the Robert Morris vs. Duquesne game.