TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 11d:22h:44m
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In the upcoming college football game between North Texas and UTSA, originally scheduled for Saturday, November 14, 2026 at 9:00 PM ET (as of creation of the first market related to the event): This market will resolve to "North Texas" if North Texas win the game. This market will resolve to "UTSA" if UTSA 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.
In the upcoming college football game between North Texas and UTSA, originally scheduled for Saturday, November 14, 2026 at 9:00 PM ET (as of creation of the first market related to the event): This market will resolve to "North Texas" if North Texas win the game. This market will resolve to "UTSA" if UTSA 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.
If UTSA wins the North Texas vs UTSA college football game originally scheduled for Nov 14, 2026, then the market resolves to Yes. If North Texas wins the North Texas vs UTSA college football game originally scheduled for Nov 14, 2026, then the market resolves to Yes.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, 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 this market allows anyone to express their belief about the outcome of the North Texas vs. UTSA game. As a result, discrepancies can arise due to differing information, biases, or simply variations in opinion. It’s possible to find arbitrage opportunities by comparing the implied probabilities from both sources, though transaction costs and market liquidity should be considered.
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 rules, and fee structure, all of which can influence price discovery. Additionally, the liquidity available on each platform differs, meaning larger trades on one exchange may have a more significant impact on the price than on another. Currently, Polymarket favors North Texas vs. UTSA: O/U 35.5 at 100.0%, while Kalshi leans toward UTSA wins at 65.0%, illustrating these potential differences in market sentiment.
This market resolves around Nov 15, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result will be based on the official outcome of the North Texas vs. UTSA game, as determined by official game statistics. The resolution process ensures a transparent and objective determination of the winning outcome, reflecting the actual results of the sporting event. Traders should monitor official sources for the final score and any potential post-game adjustments that might affect the resolution.
Several factors could influence the price of this market before Nov 15, 2026. Any news regarding injuries to key players on either the North Texas or UTSA teams would likely cause significant movement. Changes in weather forecasts, particularly if severe weather is expected, could also impact predictions. Furthermore, late-breaking news about team strategies or coaching decisions could shift market sentiment. Public perception, fueled by media coverage and social media discussions, can also play a role in driving price fluctuations as traders react to new information.