TOTAL VOLUME:

$154.2b

24H VOL:

$203,036,808

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,857,846,526

408,774

Markets across

40,345

events

MATCHED EVENTS:

4,373

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Brown vs. Princeton
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What is the result of Brown vs Princeton?

Volume:
$821

Brown vs. Princeton

 - Predict

Brown vs. Princeton - Predict

1W

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Positive

Negative

Neutral

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·

Resolved Oct 17, 2026

Closed: Oct 17, 3:00 PM EST

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Brown vs. Princeton

View
0%
Yes 0¢No 100¢
—
$367
$821
N/A
N/A
N/A
Settled
No
Total markets: 1

Description

In the upcoming college football game between Brown and Princeton, scheduled for October 17 at 12:00PM ET: This market will resolve to "Brown" if Brown win the game. This market will resolve to "Princeton" if Princeton 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 Brown and Princeton, scheduled for October 17 at 12:00PM ET: This market will resolve to "Brown" if Brown win the game. This market will resolve to "Princeton" if Princeton 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 Brown-Princeton 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 outcome, allowing you to see shifts in sentiment over time. Currently, the total volume for this market is $821, with $821 traded in the last 24 hours. This provides insight into how actively traders are engaging with this particular event and how much capital is at stake in predicting the result of the Brown-Princeton game.

Generally, prediction market odds often reflect a 'wisdom of the crowd' perspective, potentially differing from those set by sportsbooks. Sportsbooks establish lines to balance action on both sides and incorporate a profit margin, while this market is driven purely by traders’ beliefs about the probability of each outcome. If prediction market participants have information or insights that sportsbooks haven’t fully accounted for, the odds here may diverge. It’s common to see prediction markets more accurately forecast outcomes, especially when there’s significant public interest and active trading volume.

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 market’s collective assessment of the probability of that outcome occurring. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the prices adjust dynamically, providing a real-time indication of expectations. The current price indicates what percentage of the outcome is implied by the collective trading activity, allowing participants to assess value and make informed decisions.

This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Brown-Princeton game, as reported by official sources, will determine the winning outcome in this market. Resolution will occur shortly after the conclusion of the game, allowing traders to receive payouts based on their positions. It’s important to monitor official announcements to understand how the outcome will be determined and when the market will be settled.

Several factors could influence trading activity and shift the odds in this market. Any news regarding key player injuries, changes in coaching strategies, or significant weather forecasts could all impact expectations. Unexpected announcements related to team performance or even public sentiment expressed through social media could also contribute to price movements. As the game approaches, updates on team lineups and pre-game analysis are likely to drive increased volume and volatility in this market, as traders refine their predictions.