TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 19, 9:40 PM EST
Kalshi
This set of markets tracks the point differential between East Carolina and Old Dominion in their upcoming college football game. Each market corresponds to a specific margin of victory, allowing participants to bet on whether the winning team will exceed that margin.
All markets resolve based on the official final point differential from the East Carolina vs Old Dominion college football game scheduled for Sep 19, 2026. If Old Dominion wins, markets resolve to Yes if their victory margin exceeds the specified threshold (e.g., over 20.5 points). Conversely, if East Carolina wins, markets resolve to Yes if their margin exceeds the threshold (e.g., over 17.5 points). For games postponed but starting within 48 hours of the original time, markets remain open and resolve based on the final result. If the game does not start within 48 hours, all markets resolve to a fair price. Kalshi disclaims any affiliation with the NCAA, and all trademarks remain property of their respective owners.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often proving more accurate than traditional sportsbook odds, particularly in the lead-up to an event. Sportsbooks may incorporate biases or seek to profit from public perception, while this market aggregates the views of many independent traders. However, it’s important to remember that both represent probabilities of an outcome, and discrepancies can arise due to differing information or risk assessments. It's common to see this market move in response to significant sportsbook line movements, but not always.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the East Carolina vs Old Dominion game. The price of each contract reflects the market's assessment of the probability of that spread occurring. 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 from correctly anticipating the outcome. The more traders who believe a particular spread is likely, the higher its price will climb, and vice versa. This dynamic pricing mechanism aims to converge on the true probability as the event approaches.
This market resolves around Sep 20, 2026, with the outcome confirmed once the final point spread of the East Carolina vs Old Dominion game is verifiable from credible public reporting. The resolution will be based on the official result as reported by a recognized sports data provider. The market will then pay out to those who correctly predicted the spread, based on the contract price at the time of resolution. Traders should monitor official sources for the final game results to understand the market's settlement.
Several factors could influence the price of this market. Any news regarding injuries to key players on either the East Carolina or Old Dominion teams would likely cause significant movement. Changes in weather forecasts, particularly if they impact playing conditions, could also shift the market. Public perception, as reflected in betting trends and expert analysis, will also play a role. Finally, large volume trades on Kalshi itself can create short-term price fluctuations, as traders react to new information or adjust their positions.