TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 5, 12:30 AM EST
Kalshi
These markets focus on predicting the margin of victory for either Toledo or Michigan State specifically in the second half of their college football game. Each market corresponds to a different point threshold that must be exceeded by the winning team to resolve as 'Yes'.
The markets resolve based on the point differential in the second half (excluding overtime) of the Toledo vs Michigan State college football game scheduled for September 4, 2026. For markets where Michigan State must win by a specified margin, resolution occurs if Michigan State's second-half points exceed Toledo's by more than the stated threshold. Conversely, for markets where Toledo must win by a specified margin, resolution occurs if Toledo's second-half points exceed Michigan State's by more than the stated threshold. All markets exclusively consider points scored during the second half, with overtime points excluded from calculation. If the game is postponed but commences within 48 hours of its original scheduled start time, markets remain open and resolve based on the final official 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 commencement.
Typically, prediction markets and sportsbook odds reflect similar underlying probabilities, but discrepancies can emerge. Sportsbooks often incorporate a ‘vig’ or commission into their odds, which represents their profit margin. This market, being a direct exchange between individuals, aims to represent the true probability as perceived by traders. However, sportsbook odds are influenced by factors like public betting patterns and risk management, which can cause differences. It’s common to see prediction markets react more quickly to new information than traditional sportsbooks.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts. The price of a contract reflects the probability of a particular outcome – in this case, Michigan State winning by more or less than the spread. As more people buy contracts predicting a certain outcome, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts to new information and changing sentiment, providing a real-time assessment of the likely spread in the Toledo vs Michigan State game.
This market resolves around Sep 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the game, as determined by official game statistics, will be used to determine which side of the market wins. Contracts will pay out $1.00 for every $1.00 invested if the outcome matches the contract purchased, and $0.00 otherwise. The resolution process relies on publicly available, authoritative sources to ensure accurate and transparent results.
Several factors could significantly impact this market. Any news regarding injuries to key players on either the Toledo or Michigan State teams would likely cause movement. Changes in weather forecasts, particularly if they suggest adverse playing conditions, could also influence the spread. Unexpected coaching decisions or strategic shifts announced before the game could also shift trader sentiment. Finally, large volume trades on Kalshi themselves can create momentum and move the price, especially if they signal informed opinions.