TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 5:16 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the first half of an upcoming college football game. Each market corresponds to a specific margin by which either team might win during the first half, allowing participants to assess varying levels of competitive advantage.
All markets resolve based solely on points scored during the first half of the Penn St. vs Michigan college football game scheduled for Oct 17, 2026. A market resolves to 'Yes' if the specified team's victory margin exceeds the stated point threshold in that half. If the game is postponed but commences within 48 hours of its original start time, all markets remain active and resolve according to the official first-half result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, reflecting an equitable settlement rather than a definitive win or loss. These rules apply uniformly across all specified point differentials for both teams.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from those offered by sportsbooks. Sportsbooks set lines to balance action and ensure profit, while this market allows traders to express their own beliefs about the likely outcome. Often, you’ll find that prediction markets incorporate information and analysis more quickly than traditional sportsbooks, potentially leading to more accurate probabilities. However, sportsbooks may offer more favorable odds on certain outcomes depending on their risk assessment and customer base.
On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing different point spreads. The price of each contract reflects the probability of that spread occurring in the first half of the Penn State vs Michigan game. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy into a particular spread, its price increases, indicating a higher perceived likelihood. Conversely, selling pressure lowers the price. This dynamic pricing mechanism allows the market to quickly adjust to new information and changing sentiment.
This market resolves around Oct 17, 2026, with the outcome confirmed once the official first-half spread of the Penn State vs Michigan game is verifiable from credible public reporting. The resolution will be based on the official result reported by the governing body of college football. The contract corresponding to the closest spread to the actual result will pay out $100, while all other contracts will settle to $0. Traders should monitor official sources for the final result to understand the market’s outcome.
Several factors could significantly influence this market before the game concludes. Any news regarding key player injuries for either Penn State or Michigan would likely cause a shift in the spread. Changes in weather forecasts, particularly if they suggest adverse playing conditions, could also impact the market. Furthermore, significant betting activity or large-volume trades on Kalshi itself can move the price, reflecting shifts in trader sentiment. Public opinion, expert analysis, and even pre-game reports could all contribute to price fluctuations.