TOTAL VOLUME:

$154.6b

24H VOL:

$333,432,169

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,971,286,090

419,492

Markets across

40,634

events

MATCHED EVENTS:

4,654

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Minnesota vs Detroit: 1st Quarter Winner
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What is the result of Minnesota vs Detroit?

Volume:
$44,653

Detroit

 - Kalshi

Detroit - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Nov 1, 2026

Closed: Nov 1, 2:04 PM EST

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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

Detroit

View
100%
Yes 100¢No 0¢
—
N/A
$21,334
N/A
N/A
$14,225
Settled
Yes
kalshi

Minnesota

0%
37%
Yes 0¢No 100¢
—
N/A
$18,028
N/A
N/A
$14,532
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$5,291
N/A
N/A
$3,429
Settled
No
Total markets: 3

Description

This market focuses on predicting which team will lead after the first quarter of a professional football game between Minnesota and Detroit. It specifically tracks scoring performance within the initial 15 minutes of play, ignoring the rest of the match. The outcome depends solely on which team has the higher point total in that quarter, or if the quarter ends in a tie.

Kalshi

If Detroit wins the 1st Quarter of the Minnesota vs Detroit Pro Football game originally scheduled for Nov 1, 2026, then the market resolves to Yes. If Minnesota wins the 1st Quarter of the Minnesota vs Detroit Pro Football game originally scheduled for Nov 1, 2026, then the market resolves to Yes. If neither team wins the 1st Quarter of the Minnesota vs Detroit Pro Football game originally scheduled for Nov 1, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Minnesota vs Detroit game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of each outcome changes over time as traders buy and sell contracts. Currently, the total volume for this market is $7,772, with $7,379 traded in the last 24 hours. This provides a real-time view of where the crowd believes the game will go, and how that belief is evolving as new information becomes available.

Typically, prediction market odds reflect the wisdom of the crowd, often aligning with but sometimes diverging from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market represents the aggregated predictions of many individuals. If there’s a significant difference, it could indicate that prediction market traders have access to or place more weight on information not yet fully incorporated into sportsbook lines. It’s common to see prediction markets move faster to incorporate new information than sportsbooks.

On Kalshi, this market is priced through a continuous order book where traders can buy and sell contracts representing their belief in each outcome. The price of a contract reflects the implied probability of that outcome occurring. As more people buy contracts for a particular outcome, its price increases, and the implied probability rises. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and trading activity determine how quickly prices adjust to new information. Traders are constantly evaluating and updating their predictions, leading to dynamic price movements.

This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner of the first quarter of the Minnesota vs Detroit game will determine the winning contract. The resolution will be based on the official game results as reported by a trusted sports data source. Traders will be able to view the final result on Kalshi after the game concludes and the outcome is officially verified.

Several factors could influence trading activity in this market. News regarding player injuries, changes in coaching strategies, or even weather conditions could all shift traders’ expectations. Unexpected pre-game reports or analysis from sports analysts could also lead to price movements. Significant betting activity in traditional sportsbooks might also cause traders to reassess their positions. Any information that alters perceptions of the teams’ relative strengths or chances of winning the first quarter could lead to changes in the market.