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$290,393,159

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2,984,640,614

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$1,944,100,805

420,493

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40,511

events

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4,612

PLATFORM COVERAGE:

5

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37%

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Michigan vs Minnesota: Team Total
kalshi

What is the result of Michigan vs Minnesota?

Volume:
$127,420

Minnesota over 16.5 points

 - Kalshi

Minnesota over 16.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 2:46 PM EST

kalshi

Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Minnesota over 16.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$18,969
N/A
N/A
$12,650
Settled
Yes
kalshi

Minnesota over 18.5 points

100%
51%
Yes 100¢No 0¢
—
N/A
$13,608
N/A
N/A
$9,782
Settled
Yes
kalshi

Minnesota over 19.5 points

100%
Yes 100¢No 0¢
—
N/A
$9,992
N/A
N/A
$7,242
Settled
Yes
kalshi

Minnesota over 13.5 points

100%
31%
Yes 100¢No 0¢
—
N/A
$6,805
N/A
N/A
$5,979
Settled
Yes
kalshi

Michigan over 9.5 points

100%
Yes 100¢No 0¢
—
N/A
$5,506
N/A
N/A
$5,501
Settled
Yes
kalshi

Michigan over 13.5 points

100%
Yes 100¢No 0¢
—
N/A
$1,160
N/A
N/A
$1,160
Settled
Yes
kalshi

Minnesota over 9.5 points

100%
Yes 100¢No 0¢
—
N/A
$863
N/A
N/A
$863
Settled
Yes
kalshi

Minnesota over 6.5 points

100%
Yes 100¢No 0¢
—
N/A
$379
N/A
N/A
$379
Settled
Yes
kalshi

Minnesota over 20.5 points

0%
Yes 0¢No 100¢
—
N/A
$18,364
N/A
N/A
$11,642
Settled
No
kalshi

Michigan over 24.5 points

0%
48%
Yes 0¢No 100¢
—
N/A
$14,015
N/A
N/A
$11,771
Settled
No
kalshi

Michigan over 23.5 points

0%
54%
Yes 0¢No 100¢
—
N/A
$7,654
N/A
N/A
$5,645
Settled
No
kalshi

Michigan over 27.5 points

0%
Yes 0¢No 100¢
—
N/A
$7,493
N/A
N/A
$7,247
Settled
No
kalshi

Minnesota over 23.5 points

0%
Yes 0¢No 100¢
—
N/A
$5,736
N/A
N/A
$4,520
Settled
No
kalshi

Minnesota over 27.5 points

0%
Yes 0¢No 100¢
—
N/A
$4,875
N/A
N/A
$4,735
Settled
No
kalshi

Michigan over 19.5 points

0%
Yes 0¢No 100¢
—
N/A
$3,943
N/A
N/A
$2,027
Settled
No
kalshi

Michigan over 16.5 points

0%
Yes 0¢No 100¢
—
N/A
$2,521
N/A
N/A
$2,140
Settled
No
kalshi

Michigan over 20.5 points

0%
Yes 0¢No 100¢
—
N/A
$2,074
N/A
N/A
$1,372
Settled
No
kalshi

Michigan over 34.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,794
N/A
N/A
$1,794
Settled
No
kalshi

Michigan over 30.5 points

0%
Yes 0¢No 100¢
—
N/A
$759
N/A
N/A
$759
Settled
No
kalshi

Minnesota over 30.5 points

0%
Yes 0¢No 100¢
—
N/A
$460
N/A
N/A
$340
Settled
No
kalshi

Michigan over 37.5 points

0%
Yes 0¢No 100¢
—
N/A
$450
N/A
N/A
$450
Settled
No
kalshi

Minnesota over 34.5 points

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
kalshi

Minnesota over 37.5 points

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 23

Description

These markets track how many points each team will score in an upcoming college football game. Each market has a different threshold for the number of points a team must score for the market to settle as 'Yes'. The outcomes depend solely on the official game result.

Kalshi

The markets resolve based on whether Minnesota or Michigan exceeds specified point thresholds in their college football game scheduled for October 3, 2026. For each market, if the designated team scores more than the stated point total, the market resolves to 'Yes'; otherwise, it resolves to 'No'. If the game is postponed but starts within 48 hours of the original time, the result still applies. If the game does not start within 48 hours, the market resolves to a fair price, ensuring equitable treatment for all participants regardless of game timing or outcome.

Frequently asked questions

On Kalshi, the dashboard for the Michigan-Minnesota team totals market tracks the current prices for both teams' total scores, the 24-hour trading volume of $122,832, and the total volume traded to date, which is currently $127,420. You can also view a price history chart to see how the market has moved over time. This allows traders to analyze the evolving expectations surrounding the combined point totals for both teams in this upcoming game. The dashboard provides a real-time view of market sentiment and activity.

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, incorporating a profit margin. This market, however, is driven by individuals trading based on their own information and beliefs. As a result, you might find that the implied probabilities in this market diverge from those offered by sportsbooks, especially as new information becomes available or public sentiment shifts closer to the event date. It’s a useful exercise to compare the two and consider the reasoning behind any discrepancies.

On Kalshi, this market is priced through a continuous double auction. Traders buy and sell contracts representing the likelihood of different team total score ranges. The price of each contract reflects the market’s collective assessment of that outcome’s probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information emerges, the prices adjust dynamically, providing a real-time indication of expectations. The market depth—the number of contracts available at various price points—also provides insight into the strength of conviction behind different outcomes. This creates a fluid and responsive pricing mechanism.

This market resolves around Oct 3, 2026, with the outcome confirmed once the final team totals from the Michigan versus Minnesota game are verifiable from credible public reporting. The resolution will be based on the official scores reported by the governing body of the sport. The market will determine which contracts pay out based on whether the actual team totals fall within the ranges defined by the contracts available for trade. Traders who correctly predicted the team totals will receive a payout based on the contract’s value at resolution.

Several factors could influence trading activity and move this market. Any news regarding key player injuries for either Michigan or Minnesota would likely have a significant impact. Changes in weather forecasts, particularly if they suggest conditions favorable to high or low scoring, could also shift expectations. Furthermore, late-breaking news about coaching strategies or team morale could influence traders' assessments. Even public sentiment, as reflected in social media or expert analysis, could contribute to price movements in this market as traders react to new information and adjust their predictions.