TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 7:25 PM EST
Kalshi
These markets track the potential margin of victory in a college football game between UNLV and North Texas. Each outcome represents a different point differential threshold that determines whether the market settles as 'Yes' or 'No' based on the final score.
All markets resolve based on the official final result of the UNLV vs North Texas college football game scheduled for September 12, 2026. If UNLV wins by exceeding the specified point margin, the corresponding 'UNLV wins by over X points' market resolves to Yes; otherwise, it resolves to No. Conversely, if North Texas wins by exceeding its specified margin, the relevant 'North Texas wins by over X points' market resolves to Yes, otherwise No. Should the game be postponed but commence within 48 hours of its original start time, all markets remain open and resolve per the final result. If the game fails to start within this window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point differential thresholds.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and aim to balance action on both sides, while this market aggregates the views of many individual bettors. If a significant discrepancy exists between this market and sportsbook lines, it may indicate that prediction market participants believe the sportsbook is mispricing the probability of a particular outcome. It’s common to see these odds converge closer to game time as more information becomes available.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different spread outcomes. The price of each contract reflects the market’s assessment of the probability of that outcome occurring. As more traders participate and new information emerges, the prices adjust accordingly. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows for a real-time assessment of expectations, driven by the collective intelligence of the participants on Kalshi.
This market resolves around Sep 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final spread will be determined by the official result of the UNLV vs North Texas game. The platform will then verify the outcome against established sources to determine which contracts will pay out. Traders holding contracts on the correct spread will receive a payout, while those holding contracts on incorrect spreads will not. The resolution process ensures a transparent and verifiable outcome for all participants.
Several factors could influence the price of this market before the game concludes. News regarding key player injuries for either UNLV or North Texas would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact the game, could also shift expectations. Additionally, any major shifts in public sentiment, perhaps driven by expert analysis or betting trends, could affect trading activity and the price of contracts on Kalshi. Late-breaking news or unexpected developments related to team performance could also play a role.