TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 2:37 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the first half of a college football game between Old Dominion and Appalachian State. Each market corresponds to a specific margin by which either team could win the half, allowing participants to bet on various possible outcomes.
All markets resolve based solely on points scored during the first half of the Old Dominion vs Appalachian State college football game scheduled for October 10, 2026. A market resolves to 'Yes' if the specified team wins the first half by more than the stated point margin. If the game is postponed but commences within 48 hours of its original start time, all markets remain open and resolve according to the official 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 under these contingency conditions.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often proving more accurate than initial sportsbook lines. Sportsbooks set their odds to attract balanced betting and ensure profit, while this market allows participants to freely express their beliefs about the outcome. As more information becomes available – such as injury reports or weather forecasts – this market can adjust rapidly, potentially diverging from sportsbook odds. However, it’s common to see convergence as the event approaches, with both reflecting the prevailing expectations for the Old Dominion vs Appalachian State game.
On Kalshi, this market is priced through a continuous auction mechanism, where traders buy and sell contracts representing different point spreads for the first half. The price of each contract reflects the probability of that spread occurring, as determined by supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders believe a particular spread is likely, the higher its price will climb. This dynamic pricing allows the market to aggregate information and generate a forecast for the Old Dominion vs Appalachian State game’s first half spread. The current volume indicates the level of interest and confidence in the various potential outcomes.
This market resolves around Oct 10, 2026, with the outcome confirmed once the official first half spread of the Old Dominion vs Appalachian State game is verifiable from credible public reporting. The resolution will be based on the official result declared by the governing body of college football. Traders holding contracts on the correct spread will receive a payout of 100, while those holding contracts on incorrect spreads will receive nothing. The market’s final price will reflect the collective prediction of all participants leading up to the game’s conclusion.
Several factors could significantly influence this market. Any news regarding key player injuries for either the Old Dominion or Appalachian State teams would likely cause a shift in the spread. Changes in weather forecasts, particularly if they suggest adverse conditions, could also impact trading activity. Unexpected announcements about coaching strategies or team morale might also move the market. Finally, significant betting activity in sportsbooks – even if not directly reflected in the odds – can sometimes influence sentiment and trading volume in this market as well.