TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 3:10 PM EST
Kalshi
This market tracks whether Army will win the college football game against Tulane by more than 1.5 points. Currently, Kalshi gives Army winning by over 1.5 points a 52.0% probability, while Tulane winning by over 1.5 points is at 48.0%. The market resolves based on the outcome of the Tulane vs Army college football game originally scheduled for October 10, 2026, as reported by the game’s official results. Keep a close watch on the game itself on October 10, 2026, as the final score will determine the market’s resolution.
All markets resolve based on the official final score of the Tulane vs Army college football game scheduled for October 10, 2026. For markets where Army is the winning team, resolution occurs if Army’s victory margin exceeds the specified point threshold (e.g., over 20.5 points). Conversely, markets where Tulane is the winning team resolve if Tulane’s margin surpasses the designated threshold (e.g., over 17.5 points). 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.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market aggregates the beliefs of many individual traders. If a significant discrepancy exists between the two, opportunities for arbitrage may arise, as traders attempt to profit from the difference. It's important to note that both represent probabilities of an outcome, but are derived through different mechanisms.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads. The price of each contract fluctuates based on supply and demand, reflecting the collective prediction of the crowd. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as they profit if their beliefs align with the eventual outcome. The current price indicates the market's assessment of the probability of each spread occurring in the Tulane vs Army game.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the Tulane vs Army game, as determined by official game statistics, will be used to determine which contracts pay out. Contracts predicting the actual spread will settle at 100, while those predicting a different spread will settle at 0. The resolution process ensures a transparent and objective determination of the outcome.
Several factors could influence the price of this market before the game. News regarding key player injuries for either Tulane or Army would likely cause significant movement. Changes in weather forecasts, particularly if they suggest adverse conditions, could also impact the spread. Public perception shifts, driven by analyst predictions or significant betting activity in sportsbooks, can also influence trader sentiment on Kalshi. Unexpected announcements related to team strategy or coaching changes could also contribute to price fluctuations.