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 24, 6:53 PM EST
Kalshi
These markets track how many points each team will score in an upcoming college football game. Each market has a different threshold for the points a team needs to score for the market to settle as 'Yes'.
All markets resolve based on whether the specified team scores over the designated point threshold in the Old Dominion vs Louisiana Tech college football game scheduled for October 24, 2026. If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve according to the final result. If the game does not start within 48 hours of its scheduled time, all markets resolve to a fair price. The markets cover various point thresholds for both teams, allowing participants to speculate on different scoring outcomes.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which can be influenced by factors like house bias or initial public perception. Sportsbooks set lines to balance action, while this market allows traders to express their own independent probabilities. If a significant discrepancy exists between the two, arbitrage opportunities may arise, where traders can profit by simultaneously betting on both. However, it’s important to note that prediction markets and sportsbooks have different risk profiles and cater to different types of bettors.
On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing different team total outcomes. The price of each contract reflects the market's collective belief about the probability of that outcome occurring. As more traders buy a contract, its price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities as the event approaches. Traders are incentivized to provide accurate predictions, as profitable trading relies on correctly assessing the likelihood of each team's total score.
This market resolves around Oct 25, 2026, with the outcome confirmed once the final team totals for both Old Dominion and Louisiana Tech are verifiable from credible public reporting. The resolution will be based on the official statistics released following the completion of the game. The market will determine which team total outcomes were correctly predicted by traders, and payouts will be distributed accordingly. The final scores will be sourced from official game data to ensure accuracy and transparency in the resolution process.
Several factors could influence this market leading up to the game. Any news regarding key player injuries for either Old Dominion or Louisiana Tech would likely cause significant movement. Changes in weather forecasts, particularly if they suggest adverse conditions impacting scoring, could also shift probabilities. Late-breaking news about coaching strategies or team morale might also affect trading activity. Furthermore, as the game approaches, large volume trades from informed bettors could indicate shifts in sentiment and drive price changes in this market.