TOTAL VOLUME:

$154.4b

24H VOL:

$230,589,906

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,885,293,300

410,482

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40,213

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MATCHED EVENTS:

4,340

PLATFORM COVERAGE:

5

Polymarket:

37%

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Kalshi:

63%

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Brown vs. Rhode Island
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What is the result of Brown vs Rhode Island?

Volume:
$37

Brown vs. Rhode Island

 - Predict

Brown vs. Rhode Island - Predict

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 3:00 PM EST

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Brown vs. Rhode Island

View
15%
Yes 15¢No 85¢
—
$3,662
$37
N/A
N/A
N/A
Settled
No
Total markets: 1

Description

In the upcoming college football game between Brown and Rhode Island, scheduled for October 3 at 12:00PM ET: This market will resolve to "Brown" if Brown win the game. This market will resolve to "Rhode Island" if Rhode Island 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 Rhode Island, scheduled for October 3 at 12:00PM ET: This market will resolve to "Brown" if Brown win the game. This market will resolve to "Rhode Island" if Rhode Island 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 vs. Rhode Island 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 well as the total volume traded in this market, currently at $37. The dashboard provides a visual representation of market sentiment and activity, allowing you to monitor how traders are assessing the likelihood of different results in this contest. Total volume across all trades is $37.

Typically, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, which represents their profit margin. This market, driven by the collective intelligence of traders on Predict, aims to reflect the true probability of an outcome. While sportsbooks may initially set odds based on expert analysis, prediction markets can adjust rapidly as new information emerges and traders share their insights. It's common to see discrepancies between the two, especially as the event approaches.

On Predict, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the market's assessment of the probability of that outcome occurring. As more traders participate, the prices converge towards what the crowd believes is the fair value. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movements are driven by supply and demand; if more people buy contracts for a particular outcome, the price increases, and vice versa. This dynamic pricing mechanism aims to create a highly accurate forecast.

This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Brown vs. Rhode Island game, as reported by official sources, will determine the winning outcome in this market. Traders who correctly predicted the result will be eligible to receive payouts based on the odds at the time of their trade. It's important to monitor official sources for the final score to understand when and how this market will settle.

Several signals could significantly impact this market. Any news regarding injuries to key players on either the Brown or Rhode Island teams would likely cause price fluctuations. Changes in coaching strategies, weather forecasts impacting game conditions, or even significant shifts in public sentiment based on pre-game analysis could all move the market. Unexpected announcements about player availability or team performance could also lead to substantial changes in trading activity and, consequently, the odds. Monitoring these factors is crucial for understanding potential shifts in this market.