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 11, 12:10 AM EST
Polymarket
Exact margin markets for Kansas vs. Utah.
Exact margin markets for Kansas vs. Utah.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing their belief in the final point differential. The price of each share directly corresponds to the implied probability of that specific margin occurring. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price adjusts to reflect the collective assessment of the likely outcome. The market’s depth—indicated by the volume—shows how much conviction traders have in their predictions. Currently, the market is actively trading, and prices are fluctuating based on new information and trader activity.
This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point difference between Kansas and Utah will be used to determine the winning share(s). The resolution will be based on the official game results as reported by a trusted sports data source. Traders holding shares in the correct margin will be paid out according to the market’s payout structure at the time of resolution, while those holding shares in incorrect margins will forfeit their stake.
Several factors could significantly impact this market. Any news regarding key player injuries for either Kansas or Utah would likely cause a shift in the odds. Changes in coaching strategies or unexpected team performance in preceding games could also influence trader sentiment. Public perception, fueled by media coverage or expert analysis, can also play a role. Furthermore, large-volume trades by informed participants could signal a shift in expectations, causing the market to react accordingly. Monitoring these signals is crucial for understanding potential price movements.