TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 11d:16h:40m
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This group covers various markets related to the Kennesaw State vs. Sam Houston college football game scheduled for November 14, 2026, including the game outcome, point spreads, and over/under totals for the entire game and individual quarters. Markets exist for both team totals and the total combined score.
In the upcoming college football game between Kennesaw State and Sam Houston, originally scheduled for Saturday, November 14, 2026 at 2:00 PM ET (as of creation of the first market related to the event): This market will resolve to "Kennesaw State" if Kennesaw State win the game. This market will resolve to "Sam Houston" if Sam Houston win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If this market's outcome was definitively determined under its rules by the listed resolution sources before abandonment, that outcome will stand. Otherwise, the following no-result provisions apply. If the game is canceled, does not start by Monday, November 16, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
Markets resolve to Yes if the specified team wins the college football game originally scheduled for November 14, 2026. If the game is postponed but begins within 48 hours of its 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.
Prediction market odds, like those found in this market, often reflect a different kind of information than traditional sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while prediction markets are driven by individuals wagering their own capital based on their beliefs. This can lead to discrepancies, as prediction markets may be more sensitive to nuanced information or expert opinions. It's common to see differences in implied probabilities, especially as new information becomes available and traders adjust their positions. This market provides a unique perspective compared to conventional betting options.
Prices on Polymarket and Kalshi can diverge for several reasons. 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. Each platform has its own user base, trading fees, and liquidity, all of which can influence price discovery. Different levels of participation and varying risk appetites among traders on each platform contribute to these discrepancies. Additionally, the specific market structures offered – for example, one platform might focus on the point spread while the other focuses on the outright winner – can lead to differing valuations. These differences create opportunities for arbitrage, where traders attempt to profit from price inconsistencies across platforms.
This market resolves around Nov 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Kennesaw State vs. Sam Houston game, as reported by official sources, will determine the winning outcome. Traders will be able to see the final result reflected in the market's settlement data shortly after the game concludes and official results are available. The outcome is determined by the final score of the game, as determined by official game statistics.
Several factors could influence the price of this market before Nov 14, 2026. Any significant news regarding player injuries, coaching changes, or team performance could shift trader sentiment. Unexpected weather conditions or changes in game location might also play a role. Furthermore, large-volume trades on either Polymarket or Kalshi could create short-term price fluctuations. Public perception and media coverage surrounding the teams could also impact trading activity, as traders react to new information and adjust their predictions accordingly.