TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 19, 8:13 PM EST
Kalshi
These markets focus on predicting the point differential in the first quarter of a college football game between Michigan State and Notre Dame. Each market corresponds to a specific threshold of points by which either team must lead at the end of the first quarter to settle the outcome.
All markets resolve based solely on the point differential in the first quarter of play. If Notre Dame wins the first quarter by exceeding the specified point threshold, the corresponding 'Notre Dame wins 1Q by over X points' market resolves to Yes; otherwise, it resolves to No. Similarly, if Michigan State wins the first quarter by exceeding its specified threshold, the relevant 'Michigan St. wins 1Q by over X points' market resolves to Yes, with all others resolving to No. Should the game be postponed but commence within 48 hours of the original schedule, markets remain open and resolve based on the official result. If the game fails to start within this window, all markets resolve at a fair price, reflecting the uncertainty of the unresolved contest.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and aim to balance action on both sides, while this market allows traders to express their own independent predictions. Discrepancies can arise due to differing information, biases, or simply the dynamic nature of a continuously updating market. Often, prediction markets are considered more accurate than traditional polls or expert opinions, as they incentivize participants to be well-informed and make rational assessments.
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 quarter, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are constantly adjusting their bids and asks based on new information and their own analysis, leading to a dynamic and efficient price discovery process. The current price indicates what the collective market believes is the most likely outcome for the Michigan State vs. Notre Dame first quarter spread.
This market resolves around Sep 20, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread in the first quarter of the Michigan State vs. Notre Dame game will be compared to the contract spreads offered on Kalshi to determine winning and losing contracts. The official result, as reported by a trusted sports data source, will be used to settle the market and distribute payouts to contract holders. It’s important to monitor the event closely as the resolution date approaches.
Several factors could influence the price of this market leading up to the game. Any news regarding injuries to key players on either the Michigan State or Notre Dame teams would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favoring one team's style of play, could also impact trading activity. Additionally, late-breaking news about team strategy or coaching decisions, or even significant shifts in public perception based on pre-game analysis, could all contribute to fluctuations in the market price.