TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 5:14 PM EST
Kalshi
An early game segment between two college football teams will test their initial strategies, with each team looking to capitalize on scoring chances to dominate the first half.
The market resolves based on which team leads at halftime of the specified college football game. If the game is postponed but starts within 48 hours of the original time, it remains active; otherwise, it settles at a fair price. Points scored only in the first half count toward the outcome.
Typically, prediction market odds reflect the wisdom of the crowd, often incorporating information and analysis beyond what’s readily available to sportsbooks. While sportsbooks set initial lines based on team statistics and expert opinions, this market allows anyone to trade on their beliefs, potentially leading to odds that more accurately predict the outcome. It's common to see differences emerge as new information becomes available or as public sentiment shifts, though both aim to represent the probability of each team winning the first half. Keep in mind that sportsbooks also factor in a profit margin, which isn’t present in a purely peer-to-peer market.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief in each team’s chance of winning the first half. The price of each contract fluctuates based on supply and demand; if more people believe North Texas will win, the price of that outcome will rise. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism means the odds are constantly adjusting to reflect the collective intelligence of the traders participating in the market. The higher the price of a contract, the lower the implied probability of that outcome, and vice versa.
This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner of the first half of the North Texas vs Navy game, as determined by official game statistics, will dictate the settlement of this market. Traders who correctly predicted the winning team will receive a payout based on the final contract price at resolution. The platform will verify the result against official sources to ensure an accurate and transparent outcome for all participants.
Several factors could influence trading activity in this market. Any news regarding key player injuries for either North Texas or Navy would likely cause significant shifts in the odds. Changes in weather forecasts, particularly if they favor one team’s playing style, could also impact the market. Furthermore, late-breaking news about team morale, coaching decisions, or even significant pre-game analysis from sports commentators can all contribute to price movements. Unexpected betting patterns or large volume trades on Kalshi could also signal changing sentiment and influence the direction of the market.