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
Princeton vs Stonehill
kalshi

What is the result of Princeton vs Stonehill?

Volume:
$181

Princeton

 - Kalshi

Princeton - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 30, 2026

Closed: Oct 30, 9:29 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

Princeton

View
100%
Yes 100¢No 0¢
—
N/A
$107
N/A
N/A
$107
Settled
Yes
kalshi

Stonehill

0%
39%
Yes 0¢No 100¢
—
N/A
$74
N/A
N/A
$74
Settled
No
Total markets: 2

Description

This market tracks the outcome of a men's college hockey game between Princeton and Stonehill, focusing on which team secures a victory. The result reflects the competitive performance of both teams in a scheduled match, with specific conditions for resolving outcomes in case of ties, postponements, or cancellations.

Kalshi

The event resolves based on the result of the Princeton vs Stonehill men's college hockey game scheduled for October 30, 2026. If Princeton wins, its corresponding market resolves to Yes, while Stonehill’s market resolves to Yes if they win. In the event of a tie, both markets resolve to a 50/50 split. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves based on the final result. If the game is cancelled or does not start within 48 hours of the scheduled time, all markets resolve to a fair price. Kalshi disclaims any official affiliation with the NCAA, and all trademarks remain property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Princeton vs Stonehill game tracks the current odds of each outcome, the price history of the market, and the 24-hour trading volume. Currently, the total volume for this market is $181, with $156 traded in the last 24 hours. This allows participants to monitor how the perceived probability of different results changes over time, reflecting the collective wisdom of the crowd. The dashboard provides a real-time view of market activity, helping traders make informed decisions.

Prediction market odds often differ from those offered by traditional sportsbooks due to the differing incentives and information sources. Sportsbooks set odds to maximize profit, while prediction markets reflect the aggregate beliefs of a diverse group of traders. This can lead to prediction markets incorporating information more quickly and accurately, especially when dealing with events influenced by factors not fully captured by sportsbook models. It’s common to see discrepancies, with this market potentially offering a different assessment of the likely outcome than conventional betting venues.

This market resolves around Oct 31, 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 Princeton vs Stonehill game as reported by a recognized sports authority. Traders will then be paid out based on whether their chosen outcome matches the final result. It’s important to monitor news sources leading up to the resolution date to stay informed about any factors that could influence the event’s outcome and therefore this market.

Several signals could significantly impact this market. Any news regarding injuries to key players on either the Princeton or Stonehill teams would likely cause shifts in the odds. Unexpected changes in coaching strategies or team performance during other games could also influence trader sentiment. Furthermore, weather conditions on the day of the game, or even significant media coverage focusing on one team’s strengths or weaknesses, could all contribute to movement in this market. Monitoring these factors will be crucial for understanding potential price fluctuations.