TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 12:04 AM EST
Kalshi
This market tracks whether Tulsa will win the college football game against Army by more than 1.5 points. Currently, the probability of Tulsa winning by over 1.5 points on Kalshi is 66.0%. The market will resolve based on the outcome of the Army vs Tulsa game originally scheduled for October 23, 2026, as determined by the final score reported by official sources. Keep an eye on the game itself, as the market resolves based on the final result and will be settled by October 24, 2026, representing the end of the betting period following the event.
All markets resolve based on the official final result of the Army vs Tulsa college football game scheduled for October 23, 2026. Each market corresponds to a specific point differential threshold for either team’s victory. If Tulsa wins by exceeding the specified margin, the relevant 'Tulsa wins by over X points' market resolves to Yes; if Army wins by exceeding its specified margin, the corresponding 'Army wins by over X points' market resolves to Yes. If neither team meets their respective threshold, all markets resolve to No. Should the game be postponed but commence within 48 hours of the original start time, all markets remain active and resolve based on the final result. If the game fails to start within 48 hours of its scheduled time, all markets will resolve to a fair price, ensuring equitable treatment for all participants.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and aim to balance action on both sides, while this market allows traders to express their own beliefs about the probability of various outcomes. If a significant discrepancy exists, arbitrage opportunities may arise, where traders can profit by simultaneously buying and selling contracts in both markets. However, it’s important to remember that prediction market prices are dynamic and can shift rapidly based on new information and trading activity.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the Army-Tulsa game. The price of each contract reflects the market’s collective assessment of the probability of that spread occurring. As more traders participate and new information becomes available, the prices adjust accordingly. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This means the price can fluctuate significantly, especially closer to the event date, as traders react to news and updates about team performance, injuries, and other relevant factors.
This market resolves around Oct 24, 2026, with the outcome confirmed once the final point spread of the Army versus Tulsa football game is verifiable from credible public reporting. The resolution will be based on the official result declared by the governing sports authority, ensuring an objective and transparent determination of the winning spread. Traders holding contracts corresponding to the correct spread will receive a payout, while those holding contracts on incorrect spreads will forfeit their investment. The market’s resolution is independent of any subjective opinions or interpretations.
Several factors could significantly influence this market. News regarding key player injuries on either the Army or Tulsa teams would likely cause price adjustments. Unexpected coaching changes, shifts in weather forecasts for the game location, or even significant changes in public sentiment—reflected in polls or media coverage—could all impact trading activity. Late-breaking news about team morale or strategic adjustments could also move the market. Any information that alters the perceived probability of different point spreads has the potential to drive price fluctuations in this market.