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 17, 6:49 PM EST
Kalshi
This set of markets tracks the potential outcomes of a college football game between Akron and Miami (OH), focusing specifically on the margin of victory for either team. Each market represents a different point differential threshold that determines whether it resolves as 'Yes' or 'No'.
All markets resolve based on the official final score of the Akron vs Miami (OH) college football game scheduled for October 17, 2026. For markets where Miami (OH) must win by a specified margin, resolution occurs if Miami (OH) wins by more than that margin; otherwise, it resolves as 'No'. Conversely, markets requiring Akron to win by a certain margin resolve to 'Yes' if Akron achieves that margin or greater. If the game is postponed but commences within 48 hours of the 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 the specific point differential conditions.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market aggregates the beliefs of many individual traders. If a significant number of traders believe a sportsbook’s line is inaccurate, they can drive the price on Kalshi in a different direction. It's common to see discrepancies, especially before major events, as prediction markets can incorporate information not fully reflected in sportsbook pricing.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the game. The price of each contract reflects the probability of that spread being the final result. Traders are incentivized to provide accurate predictions, as profitable traders are rewarded. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market price dynamically adjusts based on supply and demand, meaning it changes as more traders participate and express their views on the likely outcome of the Akron vs Miami (OH) game.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the Akron vs Miami (OH) game, as determined by official game statistics, will be used to determine which contracts pay out. Traders who correctly predicted the final spread will receive a payout based on the contract’s price at resolution. The market’s resolution will reflect the official result of the game, as reported by trusted sports data sources.
Several factors could influence the price of this market before Oct 17, 2026. News regarding key player injuries for either Akron or Miami (OH) would likely have a significant impact. Changes in weather forecasts, particularly if they suggest adverse playing conditions, could also shift the market. Unexpected coaching announcements or significant team performance changes in preceding games could also move the price. Public sentiment, reflected in betting trends and media coverage, can also contribute to price fluctuations in this market.