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%
Closed: Oct 24, 8:40 PM EST
Kalshi
These markets track the margin of victory in a college football game between Utah Tech and Cal Poly. Each market corresponds to a different point spread threshold, determining whether the winning team covers that spread. The outcomes reflect how decisively one team outperforms the other on the field.
All markets resolve based on the official final point differential from the Utah Tech vs Cal Poly college football game scheduled for October 24, 2026. If Cal Poly wins by exceeding the specified point spread—for example, more than 43.5, 39.5, 35.5 points, and so on—the corresponding market resolves to Yes. Conversely, if Utah Tech wins by more than the stated margins (1.5 or 4.5 points), the relevant market also resolves to Yes. Postponements are handled leniently: if the game commences within 48 hours of its original start time, all markets remain active and resolve according to the final result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of game timing uncertainties.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, and can sometimes differ from those offered by sportsbooks. Sportsbooks set their lines based on statistical models and aim to balance action on both sides, while this market is driven by individuals expressing their own beliefs about the outcome. It’s common to see discrepancies, particularly before significant events or when new information emerges. Comparing these odds can offer valuable insights into public perception versus professional analysis of the Utah Tech vs Cal Poly matchup.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their beliefs about the spread. The price of a contract indicates the probability of that spread occurring. As more traders participate, the price adjusts to reflect the aggregated sentiment. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism means the market is constantly updating, providing a real-time assessment of expectations for the game. The current price reflects the collective forecast of all participants trading on Kalshi.
This market resolves around Oct 25, 2026, with the outcome confirmed once the final point spread of the Utah Tech vs Cal Poly game is verifiable from credible public reporting. The resolution will be based on the official result reported by sports data providers. Traders who correctly predicted the spread will receive a payout based on the contract price at resolution. It's important to monitor official sources for the final score to understand the outcome of this market.
Several factors could influence the price of this market before Oct 25, 2026. Any significant news regarding player injuries, coaching changes, or team performance could shift expectations. Unexpected weather conditions or changes in game location might also play a role. Public sentiment, as reflected in media coverage and social media discussions, can also impact trading activity. Major upsets in other games involving either Utah Tech or Cal Poly could also indirectly affect this market as perceptions of team strength evolve.