TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 4:45 PM EST
Kalshi
These markets track the potential margin of victory in an upcoming college football game, allowing participants to speculate on how decisively one team might win over the other. Each market corresponds to a different point spread threshold that determines a successful outcome.
All markets resolve based on the official final point differential of the Norfolk St. vs South Carolina St. college football game scheduled for October 24, 2026. If South Carolina St. wins by exceeding the specified point spread for a given market, it resolves to Yes; otherwise, it resolves to No. For markets where South Carolina St. is the favorite, the required margin increases with each successive rule (from 1.5 to 41.5 points). One market assesses Norfolk St.'s potential upset, requiring them to win by more than 2.5 points. If the game is postponed but commences within 48 hours of the original start time, all markets remain active and resolve based on the final result. If the game does not start within this window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the game's ultimate status.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often proving more accurate than traditional sportsbook odds, especially as an event approaches. Sportsbooks may incorporate biases or seek to profit from public perception, while this market aggregates diverse opinions. However, initial sportsbook lines can sometimes influence early trading activity. It's important to note that discrepancies can arise due to differing market participants and the incentives driving each – profit for sportsbooks versus accurate forecasting for prediction market traders.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes of the spread. The price of each contract fluctuates based on supply and demand, effectively creating a real-time probability assessment. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price reflects what traders collectively believe is the likelihood of South Carolina St. winning by the specified margin. Higher prices indicate greater perceived probability, while lower prices suggest less confidence in that outcome. The market’s depth, indicated by the volume, shows how much conviction exists behind these prices.
Several factors could influence the price of this market. Any news regarding injuries to key players on either team would likely cause significant movement. Changes in team performance during the season, or even weather forecasts for the game day, could also impact trader sentiment. Unexpected coaching decisions or shifts in public perception, driven by media coverage or expert analysis, can also contribute to price fluctuations. Ultimately, any information that alters the perceived probability of South Carolina St. covering the spread has the potential to move this market.