TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 29, 9:44 PM EST
Kalshi
This set of markets tracks the total points scored by both teams in a college football game between Stephen F. Austin and McNeese. Each market corresponds to a different threshold of points, allowing participants to speculate on whether the combined score will exceed various benchmarks.
All markets resolve based on whether the total points scored by both teams in the Stephen F. Austin vs McNeese college football game scheduled for August 29, 2026, exceeds the specified threshold for each market. If the game is postponed but commences within 48 hours of its original start time, all markets remain open and resolve according to the final official score. 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 point threshold marketed.
Prediction market odds in this market reflect what traders on Kalshi believe is the probable outcome based on their willingness to back either side with actual funds, often differing from traditional sportsbook lines due to unique trader dynamics and market depth. Sportsbook odds may incorporate different factors or house edges, leading to variations in implied probabilities.
This market resolves around Aug 30, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score from the official game determines whether the total points fall above or below the specified threshold, closing this market based on factual results.
Injuries to key players, changes in coaching strategies, or weather conditions could shift expectations and move this market. Additionally, any significant performance trends observed in earlier matchups or recent practices may influence trader sentiment. As the game approaches, updated polling data, expert analyses, and betting patterns on Kalshi often cause price fluctuations, reflecting evolving opinions on the likely total points scored.