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 3, 10:30 PM EST
Kalshi
This event tracks various thresholds of total points scored in a college football game between Louisiana-Monroe and South Alabama. Each threshold represents a different level of scoring intensity, allowing participants to speculate on how high-scoring the game will be.
The event consists of multiple markets, each corresponding to a specific threshold of total points scored by both teams combined in the Louisiana-Monroe vs South Alabama college football game scheduled for October 3, 2026. For each market, if the combined score exceeds the stated threshold, the market resolves to Yes; otherwise, it resolves to No. All markets share a common secondary rule: if the game is postponed but commences within 48 hours of the original start time, the markets remain open and resolve based on the final official result. If the game does not start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific threshold they have bet on. This structure allows bettors to assess varying levels of scoring probability while being protected against indefinite delays.
Typically, prediction market odds reflect the wisdom of the crowd, often aligning closely with sportsbook odds but sometimes diverging based on unique information or perspectives held by traders. Sportsbooks set lines based on statistical models and expert analysis, while this market allows anyone to express their belief about the game’s outcome. If there’s a significant difference, it could indicate that market participants have access to information not yet fully incorporated into sportsbook lines, or simply a different interpretation of the available data. It’s common to see convergence as the event approaches.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different total points for the Louisiana-Monroe vs South Alabama game. The price of each contract reflects the probability of that specific total being the final result. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices adjust to reflect the collective expectation. Traders are incentivized to provide accurate predictions, as profitable trades are rewarded, and inaccurate ones result in losses. This dynamic process helps to establish a market-driven probability assessment.
This market resolves around Oct 4, 2026, with the outcome confirmed once the final total points scored in the Louisiana-Monroe vs South Alabama football game is verifiable from credible public reporting. The final score, as reported by official sources, will determine the winning contract. Traders holding contracts corresponding to the correct total points will receive a payout, while those holding losing contracts will forfeit their investment. The resolution process ensures a transparent and objective determination of the market’s outcome.
Several factors could influence the price of this market. News regarding key player injuries for either Louisiana-Monroe or South Alabama would likely cause significant movement. Changes in weather forecasts, particularly if severe weather is predicted, could also impact the expected scoring. Late-breaking news about team strategies or coaching decisions could also shift the market. Finally, as the game day approaches, any large-volume trades on Kalshi could indicate informed activity and cause the price to adjust accordingly.