TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Texas St.
- Kalshi
Texas St. - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 2, 2026
Time left: 01h:23m:28s
$
This event group concerns the outcome of a college basketball game between Texas A&M-Corpus Christi Islanders and Texas State Bobcats, scheduled for November 2nd. Markets resolve based on which team wins the game, with provisions for postponed or canceled games.
This event is for the CBB game between Texas A&M-Corpus Christi Islanders and Texas State Bobcats on November 2 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 event determines the winner of the men’s college basketball game between Texas A&M-Corpus Christi and Texas State originally scheduled for November 2, 2026. If Texas State wins the game, the market for Texas State resolves to Yes, and the market for Texas A&M-Corpus Christi resolves to No. Conversely, if Texas A&M-Corpus Christi wins, its market resolves to Yes, and Texas State's market resolves to No. Should the game be postponed but commence within 48 hours of the original start time, both markets remain open and resolve based on the final official result. If the game is cancelled or does not start within 48 hours of the scheduled time, both markets resolve to a fair price, ensuring an equitable outcome regardless of external disruptions.
This event is for the CBB game between Texas A&M-Corpus Christi Islanders and Texas State Bobcats on November 2 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 on Polymarket and Kalshi, often differ from traditional sportsbook odds due to the wisdom of the crowd. Sportsbooks set lines based on internal models and aim to balance action on both sides, while prediction markets allow anyone to trade on their beliefs, creating a more dynamic and potentially accurate assessment of probabilities. This market reflects the collective intelligence of traders, potentially identifying mispricings that sportsbooks may miss. The difference between these odds can present opportunities for arbitrage, where traders profit from discrepancies across different venues.
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. Prices on Polymarket and Kalshi for the Texas A&M-Corpus Christi vs. Texas State game can diverge due to several factors. These platforms have different user bases, trading fees, and liquidity levels, all of which influence price discovery. Additionally, differing interpretations of available information and varying risk appetites among traders on each platform can lead to discrepancies. Volume differences between the two venues also play a role; higher volume typically leads to tighter spreads and more efficient pricing. These factors contribute to the unique price signals observed on each platform.
This market resolves around Nov 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Texas A&M-Corpus Christi vs. Texas State game, as reported by official sources, will determine the winning outcome in this market. Traders should monitor official announcements to understand how the final result will be determined and reported. The resolution process ensures a fair and transparent outcome based on the actual event results.
Several signals could significantly impact this market before it resolves around Nov 3, 2026. Any news regarding injuries to key players on either the Texas A&M-Corpus Christi Islanders or the Texas State Bobcats would likely cause shifts in probabilities. Changes in coaching strategies, weather forecasts impacting game conditions, or even significant media coverage influencing public perception could also move the market. Unexpected upsets in other games involving these teams leading up to the event could also affect trader sentiment and, consequently, the odds.