TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 26, 1:10 AM EST
Kalshi
This market tracks which team will lead at the end of the third quarter in an upcoming college football game between Clemson and California. It reflects the competitive momentum during that specific period of play, offering insight into potential shifts in the game's early dynamics.
If California wins the 3rd quarter of the Clemson vs California college football game originally scheduled for Sep 25, 2026, then the market resolves to Yes. If Clemson wins the 3rd quarter of the Clemson vs California college football game originally scheduled for Sep 25, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the Clemson vs California college football game originally scheduled for Sep 25, 2026, then the market resolves to Yes.
Generally, prediction market odds tend to reflect the collective wisdom of informed traders, often aligning closely with sportsbook odds but sometimes diverging based on unique information or perspectives held by market participants. Sportsbooks set initial lines based on statistical models and expert analysis, while this market’s prices are determined by supply and demand as traders buy and sell contracts. Discrepancies can arise due to differing opinions on injuries, weather conditions, or other factors influencing the game's outcome, offering potential arbitrage opportunities for those who identify mispricings.
On Kalshi, this market is priced through a continuous auction mechanism, where traders buy and sell contracts representing their belief about which team will win the third quarter. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. 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 particular team, the price increases, indicating a higher perceived probability of victory, and vice versa. This dynamic pricing ensures that the market reflects the latest information and collective intelligence of the traders.
Several factors could significantly impact the price of this market. Any news regarding key player injuries or suspensions for either Clemson or California would likely cause a shift in the odds. Unexpected weather forecasts, particularly if they suggest adverse playing conditions, could also influence trading activity. Furthermore, significant changes in public perception, driven by media coverage or expert analysis, could lead to increased volume and price fluctuations. Finally, any late-breaking news related to team morale or coaching decisions could also move this market.