TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 3:35 PM EST
Kalshi
This event tracks various point-spread outcomes for an upcoming college football game, allowing participants to speculate on the margin of victory for either team. The contest is set to occur on a specific date, with multiple markets covering different thresholds of points by which either team might win.
All markets resolve based on the official final result of the Michigan St. vs Wisconsin college football game scheduled for Oct 3, 2026. Each market has a specific point threshold; if Wisconsin wins by exceeding the threshold designated in the market title, that market resolves to Yes. Conversely, if Michigan St. wins by exceeding the threshold specified, the corresponding market resolves to Yes. For markets where the designated team fails to meet the threshold, the market resolves to No. If the game is postponed but commences within 48 hours of the original start time, all markets remain open and resolve according to the final result. If the game does not start within 48 hours of the scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants under these contingency conditions.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market is driven by individuals trading based on their own information and beliefs. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts. These differences can present opportunities for traders who believe the market is mispricing the probability of a particular outcome.
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 market's assessment of the probability of that spread occurring. As more traders buy contracts for a specific spread, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust its predictions accordingly, offering a real-time view of expectations for the game's outcome.
This market resolves around Oct 3, 2026, with the outcome confirmed once the final point spread of the Michigan State vs Wisconsin 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 holding contracts on the correct spread will receive a payout, while those holding contracts on incorrect spreads will not. The exact payout amount will depend on the price of the contract at the time of resolution.
Several factors could influence the price of this market before it resolves. Any news regarding injuries to key players on either team would likely cause significant movement. Changes in coaching strategies or unexpected weather forecasts could also play a role. Public sentiment, as reflected in polls and expert analysis, can also impact trading activity. Finally, large volume trades by informed individuals could shift the price, especially closer to the game date, as traders react to the latest information and refine their predictions.