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 10, 10:18 PM EST
Kalshi
This market focuses on determining which team will score more points in the third quarter of a college football game between Georgia and Alabama. It provides a way to speculate on short-term performance during a specific segment of the game, rather than the overall result.
If Alabama wins the 3rd quarter of the Georgia vs Alabama college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If Georgia wins the 3rd quarter of the Georgia vs Alabama college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the Georgia vs Alabama college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.
Typically, prediction market odds reflect the wisdom of the crowd, often aligning with, but sometimes diverging from, traditional sportsbook lines. Sportsbooks set initial odds based on statistical models and expert analysis, while this market’s odds are driven by actual money being wagered. If a significant number of traders believe a sportsbook is undervaluing a particular outcome, they can buy 'yes' contracts, driving up the price and signaling a different expectation. This dynamic can lead to prediction markets offering more accurate probabilities, particularly as more information becomes available leading up to the event.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each team winning the third quarter. The price of a contract ranges from 0 to 100, representing the implied probability of that outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy contracts for a specific team, the price increases, reflecting growing confidence in their victory. Conversely, selling contracts lowers the price. This creates a dynamic pricing mechanism driven by supply and demand, and allows traders to express their beliefs about the game’s outcome.
Several factors could significantly influence the price movement of this market. Any news regarding key player injuries on either the Georgia or Alabama teams would likely cause a shift in probabilities. Changes in weather forecasts, particularly if severe weather is expected during the game, could also impact trading activity. Furthermore, as the game progresses, real-time performance and strategic adjustments made by each team will be major drivers of price fluctuations. Even pre-game analysis and expert opinions, if widely publicized, could sway trader sentiment and affect the market.