TOTAL VOLUME:

$154.1b

24H VOL:

$181,481,432

24H TRANSACTIONS:

2,983,476,643

OPEN INTEREST:

$1,827,991,073

405,996

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40,551

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MATCHED EVENTS:

4,368

PLATFORM COVERAGE:

5

Polymarket:

37%

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Kalshi:

63%

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Michigan vs. Rutgers
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What is the result of Michigan vs Rutgers?

Volume:
$595

Michigan vs. Rutgers

 - Predict

Michigan vs. Rutgers - Predict

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Resolved Oct 31, 2026

Closed: Oct 31, 3:30 PM EST

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Michigan vs. Rutgers

View
100%
Yes 100¢No 0¢
—
$29,826
$595
N/A
N/A
N/A
Settled
Yes
Total markets: 1

Description

In the upcoming college football game between Michigan and Rutgers, scheduled for October 31 at 12:30PM ET: This market will resolve to "Michigan" if Michigan win the game. This market will resolve to "Rutgers" if Rutgers win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

Predict

In the upcoming college football game between Michigan and Rutgers, scheduled for October 31 at 12:30PM ET: This market will resolve to "Michigan" if Michigan win the game. This market will resolve to "Rutgers" if Rutgers win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

Frequently asked questions

On Predict, the dashboard for the Michigan-Rutgers football game tracks the current odds, price history, and 24-hour trading volume. You’ll find a visual representation of how the market is pricing the likelihood of different outcomes. Currently, the total volume for this market is $595, with $594 traded in the last 24 hours. This information allows you to see how sentiment is shifting as new information becomes available and how active traders are in this particular market. The dashboard provides a real-time view of the collective prediction.

Typically, prediction market odds reflect a wisdom-of-the-crowd perspective, often differing from initial sportsbook lines. Sportsbooks set odds to balance their books and incorporate a profit margin, while this market represents the aggregate beliefs of informed traders. If a significant amount of money is wagered on a particular outcome, the odds will shift accordingly, potentially moving against the initial sportsbook consensus. It’s common to see prediction markets outperform traditional sportsbooks in accuracy, especially as the event approaches and more information is factored in by participants.

On Predict, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing different outcomes. The price of each contract reflects the probability of that outcome occurring, as determined by supply and demand. As more traders participate and new information emerges, the prices adjust dynamically. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price indicates what traders collectively believe is the likelihood of each team winning the Michigan-Rutgers football game, and these probabilities are constantly updated based on trading activity.

This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be based on the official final score of the Michigan-Rutgers football game as reported by a widely recognized sports data source. Traders who correctly predicted the outcome will be paid out according to the final market prices at resolution. It’s important to monitor the event closely as the resolution date approaches to understand how the market is reacting to any late-breaking news or developments.

Several factors could significantly move this market before it resolves. Key injuries to star players on either team would undoubtedly impact the odds, as would any changes in coaching strategies or unexpected weather conditions. News regarding team morale, player suspensions, or significant shifts in public perception could also influence trading activity. Furthermore, any major upsets in other college football games could indirectly affect the market by altering the overall landscape and impacting confidence in either team. Monitoring sports news and injury reports will be crucial for understanding potential market movements.