TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 11:01 PM EST
Kalshi
This market focuses on determining which team will score more points in the second half of a college football game between Utah State and Texas State. It tracks performance specifically in the latter half of the match, including any overtime periods, to decide the outcome.
If Texas St. wins the 2nd half (including overtime) of the Utah St. vs Texas St. college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If Utah St. wins the 2nd half (including overtime) of the Utah St. vs Texas St. college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If neither team wins the 2nd half (including overtime) of the Utah St. vs Texas St. college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes.
Prediction market odds often reflect the wisdom of the crowd, and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and to balance betting action, while this market is driven by individuals trading based on their own research and insights. Generally, if prediction market odds significantly diverge from sportsbook lines, it suggests that market participants believe the sportsbook is mispricing the event. It’s important to remember that both represent probabilities, but are derived through different mechanisms and can therefore offer unique perspectives.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each outcome. The price of a contract directly corresponds to the implied probability of that outcome occurring. As more traders buy contracts for a particular team, the price increases, reflecting a higher perceived chance of victory. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to rapidly incorporate new information and adjust probabilities in real-time, offering a forward-looking assessment of the potential result.
This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the second half of the Utah State vs Texas State game will be declared the winner for the purposes of this market. The final score will be verified against official game statistics and reporting to determine the winning team. Traders will then be able to claim their winnings or settle their losing positions based on the final result.
Several factors could influence the trading activity in this market. Any news regarding injuries to key players on either the Utah State or Texas State teams would likely cause significant movement. Changes in weather conditions, particularly if they favor one team’s playing style, could also impact the odds. Additionally, late-breaking news about team strategies or coaching decisions could shift trader sentiment. Even significant betting patterns in traditional sportsbooks could influence how traders position themselves in this market.