TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 4:47 PM EST
Kalshi
This market tracks the outcome of the first half of a college football game between Howard and Penn, focusing solely on which team leads at halftime. It reflects the competitive balance between the two teams during the initial 30 minutes of play. The result is determined exclusively by first-half performance, regardless of the final game outcome.
If Penn wins the 1st half of the Howard vs Penn college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If Howard wins the 1st half of the Howard vs Penn college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Howard vs Penn college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which can be influenced by factors like house bias or initial public perception. Sportsbooks set lines to balance action, while this market allows traders to freely express their beliefs about the outcome. Historically, prediction markets have demonstrated accuracy in forecasting event outcomes, sometimes outperforming traditional polling data and expert analysis. It’s common to see discrepancies, especially before significant events or when new information emerges, as traders continuously update their assessments of the likely winner.
On Kalshi, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing their belief in each outcome. The price of a contract reflects the probability of that outcome occurring, as determined by supply and demand. As more traders buy contracts for a particular team, the price increases, indicating a higher perceived chance of victory. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth shows the available contracts at different price points, providing insight into the level of conviction among traders. This dynamic pricing allows for efficient discovery of probabilities based on collective intelligence.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the first half of the Howard vs Penn game will be declared the winner for the purposes of this market. Official game statistics and results will be used to determine the final outcome. Traders who correctly predicted the first-half winner will receive a payout based on the final market price at resolution. It’s important to monitor the game’s progress and any relevant news leading up to the end of the first half.
Several signals could significantly impact this market. Any news regarding player injuries, changes in coaching strategies, or unexpected weather conditions could shift trader sentiment. Pre-game analysis from sports analysts and updated team statistics will also play a role. Furthermore, early game performance – such as initial scoring drives or key defensive plays – will likely cause rapid price adjustments. Public betting patterns and any significant volume spikes on Kalshi could also indicate a shift in expectations. Monitoring these factors will be crucial for understanding potential market movements.