TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 29, 9:39 PM EST
Kalshi
This set of markets tracks the point differential in a college football game between Bryant and Stonehill, allowing participants to bet on whether the winning team will exceed various point margins. Each market corresponds to a specific threshold, enabling detailed speculation on the game's outcome range.
All markets resolve based on the official final point differential from the Bryant vs Stonehill college football game scheduled for August 29, 2026. If Bryant wins, markets resolve to Yes if the victory margin exceeds the specified threshold (e.g., over 27.5 points). Conversely, if Stonehill wins, markets resolve to Yes if their margin exceeds the stated threshold (e.g., over 1.5 points). Postponements that commence within 48 hours of the original start time keep markets open for resolution per the actual result. If the game does not start within 48 hours, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of game timing changes.
Prediction market odds in this market often differ from traditional sportsbook lines due to the unique dynamics of trader-driven pricing. While sportsbooks set their lines based on analytics and risk management, prediction markets let participants bet directly on outcomes, which can lead to sharper or more volatile pricing. Traders may react faster to new information, causing this market’s spread to diverge from standard sportsbook odds. Comparing the two can reveal where public sentiment or insider expectations differ from institutional lines.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders determine the price through continuous bidding and asking, reflecting their collective assessment of each team's likely performance relative to the spread. The current probability reflects the balance of buy and sell orders, with market depth influencing how quickly prices adjust. This decentralized pricing model allows for rapid updates as new data emerges, capturing the evolving expectations of participants in this market.
This market resolves around Aug 30, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score will be compared to the established spread to determine which side covers. As long as the result is publicly reported and unambiguous, the market will close promptly, reflecting the actual performance of the teams on game day.
Injuries to key players, changes in coaching strategy, or significant performance shifts in practice sessions could all impact this market. Additionally, betting trends, media narratives, and public sentiment swings often influence trader behavior in the weeks leading up to the game. Any new information that alters perceptions of team strength or likelihood of covering the spread may cause rapid price adjustments on Kalshi as participants react to the latest developments.