TOTAL VOLUME:
$138.4b
24H VOL:
$96,535,358
24H TRANSACTIONS:
2,495,670,182
OPEN INTEREST:
$1,525,921,801
457,804
Markets across
34,744
events
MATCHED EVENTS:
2,812
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Oct 3, 8:00 PM EST
Kalshi
This set of markets tracks the potential outcomes of a college football game between Maryland and Nebraska, focusing specifically on the margin of victory for either team. Each market represents a different point differential threshold that must be exceeded for the market to settle positively. The markets provide a granular view of how decisively one team might win over the other.
All markets resolve based on the official final result of the Maryland vs Nebraska college football game scheduled for October 3, 2026. For markets where Nebraska must win by a specified margin, resolution occurs if Nebraska’s victory exceeds that margin; conversely, markets requiring Maryland to win resolve if Maryland’s victory meets or exceeds the stated margin. If the game is postponed but commences within 48 hours of the original start time, all markets remain active and resolve according to the final result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of game timing or outcome uncertainties.
Generally, prediction markets like this one tend to be more accurate than traditional sportsbook odds, as they reflect the collective wisdom of a diverse group of traders. However, sportsbook odds are readily available and often serve as a baseline for comparison. It's common to see initial discrepancies between the two, with prediction markets often adjusting more quickly to new information and potentially offering more nuanced probabilities. While sportsbooks set odds based on their own models and profit margins, this market is driven purely by supply and demand among traders.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the Maryland-Nebraska game. The price of each contract reflects the probability of that spread 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 people buy contracts predicting a certain spread, the price increases, and vice versa. This dynamic pricing mechanism ensures that the market reflects the latest information and collective intelligence of the traders involved. The current price indicates what traders believe is the most likely outcome.
This market resolves around Oct 3, 2026, with the outcome confirmed once the final point spread of the Maryland-Nebraska football game is verifiable from credible public reporting. The resolution will be based on the official result reported by the governing body of college football. Traders who correctly predicted the spread will receive a payout based on the contract price at resolution. It’s important to monitor the game’s progress and any relevant news leading up to the final whistle, as this will ultimately determine the outcome of this market.
Several factors could significantly influence the price of this market before the game concludes. Any news regarding key player injuries on either the Maryland or Nebraska team would likely cause a shift in the spread. Changes in weather forecasts, particularly if they suggest adverse conditions, could also impact trader sentiment. Unexpected coaching decisions or significant news about team morale could also play a role. Finally, large volume trades on Kalshi itself can create momentum and drive price movements, reflecting shifts in overall market opinion.