TOTAL VOLUME:
$134b
24H VOL:
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24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 4, 10:26 PM EST
Kalshi
These markets focus on predicting the point differential in the third quarter of a college football game between Toledo and Michigan State. Outcomes depend solely on which team leads by a specific margin during that quarter, without considering the overall game result.
All markets resolve based exclusively on points scored during the third quarter of play in the Toledo vs Michigan State college football game scheduled for September 4, 2026. Each market corresponds to a specific point differential threshold, with 'Yes' resolving if Michigan State or Toledo meets or exceeds the stated margin in their favor during that quarter. If the game is postponed but commences within 48 hours of the original start time, markets remain open and resolve according to the official third-quarter 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 the eventual game outcome.
Prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbook odds are typically set by a small number of experts, while this market aggregates the views of many individual traders. It’s common to see discrepancies between the two, as prediction markets can incorporate information that sportsbooks may not immediately account for, such as subtle team news or public sentiment. However, both aim to accurately forecast the probability of different outcomes.
On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing their beliefs about the 3rd quarter spread in the Toledo vs Michigan State game. The price of a contract reflects the probability of that outcome occurring. As more traders buy into a particular outcome, its 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 as new information becomes available and traders update their predictions, creating a constantly evolving representation of expectations.
This market resolves around Sep 5, 2026, with the outcome confirmed once the final 3rd quarter spread of the Toledo vs Michigan State game is verifiable from credible public reporting. The resolution will be based on the official result as reported by a recognized sports data provider. The market will then pay out to those who correctly predicted the spread, based on the contract price at resolution. Traders should monitor official sources for the final result to understand the outcome of this market.
Several factors could influence the price of this market before Sep 5, 2026. Any significant news regarding player injuries, changes in coaching strategy, or unexpected weather conditions could all impact trader sentiment. Furthermore, updates on team performance in preceding games, or even public perception shifts based on media coverage, can cause the market to react. Major line movements in traditional sportsbooks could also prompt adjustments in this market, as traders respond to new information and reassess probabilities.