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%

BETA
Dashboards
Tour
All
Sports
Robert Morris vs Miami
kalshi

What is the result of Robert Morris vs Miami?

Volume:
$973

Miami

 - Kalshi

Miami - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 15, 2026

Closed: Oct 15, 10:39 PM EST

kalshi

Kalshi

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

Miami

View
100%
7%
Yes 100¢No 0¢
—
N/A
$939
N/A
N/A
$737
Settled
Yes
kalshi

Robert Morris

0%
8%
Yes 0¢No 100¢
—
N/A
$34
N/A
N/A
$32
Settled
No
Total markets: 2

Description

The market tracks the outcome of a men's college hockey game between Robert Morris and Miami scheduled for October 15, 2026. If Robert Morris wins, the first market resolves positively, while a Miami victory resolves the second market positively. A tie results in a split resolution for both markets.

Kalshi

Markets resolve based on the official game result for Robert Morris or Miami victories, with ties resolving at 50/50. If the game is postponed but starts within 48 hours of the original time, markets remain open to resolve on the final result. Cancellations or failures to start within 48 hours lead to fair price resolutions for all markets. Kalshi disclaims any affiliation with the NCAA, and all trademarks remain property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Robert Morris vs Miami game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes shifts over time as traders buy and sell contracts. Currently, the total volume for this market is $973, with $871 traded in the last 24 hours. This provides a real-time view of how the crowd is assessing the likelihood of various results in this college basketball matchup. The dashboard is a key tool for understanding market sentiment.

Prediction market odds often reflect the 'wisdom of the crowd,' potentially differing from those set by sportsbooks. Sportsbooks establish initial lines based on statistical models and expert analysis, aiming to balance action on both sides. This market, however, allows anyone to trade contracts, so the odds can evolve based on a broader range of information and opinions. Discrepancies can arise due to differing information sources, biases, or simply the dynamic nature of trading activity. It's common to see prediction markets incorporate news and sentiment faster than traditional sportsbooks.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. 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 influence the bid-ask spread, impacting the cost of entering or exiting a position. This dynamic pricing mechanism allows the market to efficiently aggregate information and forecast the event's outcome.

This market resolves around Oct 16, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Robert Morris vs Miami game, as reported by a recognized sports data provider. The platform will verify the outcome against these sources to determine which contracts will pay out. Traders holding contracts for the winning outcome will receive a payout, while those holding contracts for losing outcomes will not. The exact payout amount is determined by the contract price at resolution.

Several factors could influence trading activity and move this market. News regarding player injuries, changes in coaching strategies, or team performance in preceding games are all potential catalysts. Unexpected announcements about player availability or significant shifts in public perception could also drive price movements. Even broader factors, such as weather conditions or media coverage, might impact trader sentiment. As the game approaches, any new information that alters the perceived probabilities of each team winning will likely lead to changes in the market's pricing.