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 10, 3:22 PM EST
Polymarket
Exact margin markets for Tulane vs. Army.
Exact margin markets for Tulane vs. Army.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing different possible exact margins of victory. The price of each share reflects the market's collective belief about the probability of that margin occurring. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market price adjusts dynamically based on supply and demand, meaning that if many traders believe a particular margin is likely, the price of shares representing that outcome will increase. Conversely, if traders believe an outcome is unlikely, the price will decrease. This creates a real-time assessment of probabilities.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final margin of victory in the Tulane vs. Army football game will be used to determine the winning share(s). The resolution will be based on the official result reported by the governing sports body, ensuring a transparent and verifiable outcome. Traders should monitor official sources for the game results as the resolution date approaches, as this will determine the payout of their shares in this market.
Several factors could significantly influence this market. Any news regarding key player injuries on either the Tulane or Army teams would likely cause shifts in the odds. Changes in weather forecasts, particularly if severe weather is predicted for the game location, could also impact the market. Unexpected coaching decisions or strategic adjustments announced by either team could also move the market. Finally, any significant public sentiment shifts, perhaps driven by expert analysis or media coverage, could influence trading activity and alter the probabilities reflected in this market.