TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 3, 11:48 PM EST
Kalshi
This market focuses on determining which team will score more points in the final quarter of a college football game between Colorado and Georgia Tech. It tracks the performance of each team specifically in the last quarter of play, excluding any overtime periods. The outcome depends solely on the points scored during that designated timeframe.
If Georgia Tech wins the 4th quarter (excluding overtime) of the Colorado vs Georgia Tech college football game originally scheduled for Sep 3, 2026, then the market resolves to Yes. If Colorado wins the 4th quarter (excluding overtime) of the Colorado vs Georgia Tech college football game originally scheduled for Sep 3, 2026, then the market resolves to Yes. If neither team wins the 4th quarter (excluding overtime) of the Colorado vs Georgia Tech college football game originally scheduled for Sep 3, 2026, then the market resolves to Yes.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders collectively set the odds through buying and selling contracts that represent each team's chance of winning exclusively in the fourth quarter. The current implied probability reflects the balance of these positions, with volume of $4,662 indicating overall interest. As the game unfolds, especially during critical moments in the final period, expectations can shift rapidly, driving price changes that capture real-time assessment of each team's performance.
This market resolves around Sep 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner will be determined by which team leads at the end of the fourth quarter, as recorded by official game results. No additional analysis or interpretation is needed beyond the publicly available game data, ensuring a clear and objective resolution process.
Key signals that could shift this market include injury updates to star players, weather changes affecting game conditions, and strategic decisions by coaches that impact fourth-quarter performance. Momentum swings during the game, such as a team mounting a late lead change, can also cause rapid repricing. Traders will closely watch in-game statistics, time remaining, and any bench adjustments that might influence the final-period outcome.