TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 11:39 PM EST
Kalshi
This prediction group concerns the North Alabama vs. Southeastern Louisiana college football game. The markets ask who will win the game, and on Kalshi, by how much each team will win by, with varying point spreads.
All markets resolve based on the official point differential from the North Alabama vs Southeastern Louisiana college football game scheduled for September 12, 2026. If Southeastern Louisiana wins by exceeding the specified point margin—from 1.5 to 29.5 points—the corresponding 'Yes' outcome resolves. Conversely, if North Alabama wins by more than the designated margins (2.5 to 18.5 points), the respective 'Yes' outcome for North Alabama resolves. Should the game be postponed but commence within 48 hours of its original start time, all markets remain active and resolve according to the final result. If the game does not start within this window, all markets resolve at a fair price, ensuring equitable treatment for all participants regardless of the specific point-spread threshold.
In the upcoming college football game between North Alabama and Southeastern Louisiana, scheduled for September 12 at 7:00PM ET: This market will resolve to "North Alabama" if North Alabama win the game. This market will resolve to "Southeastern Louisiana" if Southeastern Louisiana win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Prediction market odds, like those found for this market, often reflect the collective wisdom of a diverse group of traders. This can lead to differences compared to traditional sportsbook odds, which are typically set by a smaller team of professionals. Sportsbooks may incorporate factors like public betting percentages and risk management more heavily, while prediction markets tend to focus on the perceived probability of the outcome. However, both aim to accurately forecast the result, and discrepancies can present opportunities for arbitrage. It’s common to see prediction markets move more efficiently as new information becomes available.
Prices for this market may vary between Kalshi and Predict due to several factors. Kalshi and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform has a different user base with varying levels of expertise and information, leading to differing opinions on the likely outcome of the North Alabama vs Southeastern Louisiana game. Trading volume and liquidity can also play a role, as lower volume may result in wider bid-ask spreads and more price volatility. Furthermore, the specific mechanisms for price discovery on each platform—order book dynamics on Kalshi versus potentially different weighting algorithms on Predict—can contribute to observed price differences.