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%
Kansas St.
- Kalshi
Kansas St. - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 3, 2026
Time left: 01d:00h:12m
$
This event group concerns the outcome of a college basketball game between South Dakota State Jackrabbits and Kansas State Wildcats on November 3rd. Markets resolve based on which team wins the game, with provisions for handling postponements and cancellations.
This event is for the CBB game between South Dakota State Jackrabbits and Kansas State Wildcats on November 3 at 8:00PM ET. 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 outcome of the men's college basketball game between South Dakota State and Kansas State scheduled for November 3, 2026. If Kansas State wins, the market for Kansas State resolves to Yes; if South Dakota State wins, the market for South Dakota State resolves to Yes. 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, both markets will resolve to a fair price.
This event is for the CBB game between South Dakota State Jackrabbits and Kansas State Wildcats on November 3 at 8:00PM ET. 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 reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while prediction markets allow traders to freely express their beliefs. This can lead to discrepancies, especially when public opinion diverges from expert analysis. It’s valuable to compare both to gain a more comprehensive understanding of the potential outcome of the SDSU vs. Kansas State game.
Prices on Polymarket and Kalshi can diverge due to several factors. 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 attracts different traders with varying risk appetites and information sets, leading to differing valuations. Additionally, the liquidity and trading volume on each platform can influence price discovery. For example, if Polymarket has significantly higher volume, its price may be more responsive to new information. Furthermore, subtle differences in market design or user interfaces between Polymarket and Kalshi can also contribute to price discrepancies on this market.
This market resolves around Nov 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be based on the official result of the SDSU vs. Kansas State game, as reported by a trusted sports news source. The platform will verify the outcome against these sources to determine which outcome resolves as correct. The outcome of this market will reflect the final score and official result of the game.
Numerous signals could impact this market before it resolves around Nov 4, 2026. Key events include any news regarding injuries to star players on either the SDSU or Kansas State teams, changes in coaching strategies, or significant shifts in public sentiment. Unexpected weather conditions on game day could also influence the outcome and, consequently, the market price. Furthermore, late-breaking news about team morale or internal conflicts could move the market. Any substantial information affecting the perceived probability of either team winning will likely be reflected in trading activity.