TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 11:48 PM EST
Polymarket
Exact margin markets for UTSA vs. Tulane.
Exact margin markets for UTSA vs. Tulane.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing different exact margins of victory. The price of each share reflects the market’s implied probability of that specific margin occurring. As more traders buy shares of a particular outcome, its price increases, and the implied probability rises. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s liquidity and trading volume influence how quickly and efficiently prices adjust to new information. Currently, the most actively traded margins indicate a strong belief in a close contest.
This market resolves around Oct 25, 2026, with the outcome confirmed once the final score difference between UTSA and Tulane is verifiable from credible public reporting. The market will settle based on the actual exact margin of victory, as determined by official game statistics. Any adjustments or corrections to the official score will be reflected in the final resolution. Traders holding shares in the correct margin will receive a payout based on the market’s pricing at the time of resolution.
Several factors could significantly impact this market. News regarding key player injuries on either the UTSA or Tulane teams would undoubtedly cause price fluctuations. Changes in weather forecasts, particularly if severe weather is expected, could also shift the market, as weather conditions can heavily influence game outcomes. Significant line movements in major sportsbooks might also prompt traders to reassess their positions. Finally, any late-breaking news regarding team strategies or coaching decisions could lead to shifts in the perceived probabilities within this market.