TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 5:11 PM EST
Kalshi
This market assesses various scoring thresholds for the first half of a college football game between Old Dominion and Georgia State. Participants predict whether the combined points scored by both teams will exceed specific numerical values by the end of the first half.
All markets resolve based on the total points scored by both teams during the first half of the Old Dominion vs Georgia State college football game scheduled for October 3, 2026. Each market has a different threshold, ranging from over 2.5 points to over 41.5 points. If the combined score meets or exceeds the specified threshold, the market resolves to Yes; otherwise, it resolves to No. Postponements are handled such that if the game starts within 48 hours of the original time, it remains active and resolves based on the official result. If the game does not start within 48 hours, all markets resolve to a fair price. Only points scored in the first half count toward resolution.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which may 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 probabilities. It’s common to see discrepancies, particularly before significant events or when new information emerges. Analyzing these differences can be insightful, as prediction markets sometimes prove more accurate than traditional odds in forecasting outcomes. Comparing the two can offer a more comprehensive view of potential results.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their beliefs about the outcome. The price of a contract indicates the probability of that outcome occurring, with higher prices suggesting a greater likelihood. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders set the odds by placing bids and asks, and the market price fluctuates based on supply and demand. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities as the event approaches. The current price reflects the collective intelligence of those trading on Kalshi.
This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score of the first half between Old Dominion and Georgia State will be used to determine whether the total goes over or under the market’s implied line. The resolution will be based on official game statistics, ensuring a transparent and verifiable outcome. Traders will then be able to claim their winnings or adjust their strategies for future markets based on the verified result.
Several factors could influence the price of this market before resolution. News regarding player injuries or changes to the starting lineups for either Old Dominion or Georgia State would likely have a significant impact. Unexpected weather conditions, if the game is played outdoors, could also shift the market. Furthermore, any major shifts in public perception, perhaps driven by expert analysis or updated statistical projections, could lead to increased trading volume and price fluctuations. Even late-breaking news about team morale or coaching strategies could move this market.