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$154.4b

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2,984,028,936

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$1,885,293,300

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PLATFORM COVERAGE:

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Chad Anheliger vs Steven Koslow: Go the Distance
kalshi

What is the result of Chad Anheliger vs Steven Koslow?

Volume:
$117,030

Fight goes the distance

 - Kalshi

Fight goes the distance - Kalshi

1W

News

Positive

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Neutral

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Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 6:30 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
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Fight goes the distance

View
0%
38%
Yes 0¢No 100¢
—
N/A
$117,030
N/A
N/A
$69,563
Settled
No
Total markets: 1

Description

The event features a highly anticipated mixed martial arts bout between two skilled fighters. Fans and analysts are eagerly watching to see how the match will unfold, with particular interest in whether the fight will last the full scheduled rounds. This contest highlights the athletes' abilities and strategies in a high-stakes competition.

Kalshi

If the Chad Anheliger vs. Steven Koslow UFC Fight Night fight originally scheduled for Oct 17, 2026 goes the distance, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Anheliger vs Koslow fight tracks the current odds of whether the fight will go the distance. You can view the price history, which shows how the probability of this outcome has changed over time, as well as the 24-hour volume, currently at $108,532. The total volume traded on this market is $117,030. This allows participants to gauge market sentiment and trading activity surrounding the fight’s potential duration. The dashboard provides a real-time view of how traders are assessing the likelihood of the bout lasting the full scheduled rounds.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines based on expert analysis and incorporate a profit margin, while this market allows traders to adjust probabilities based on their own research and information. If sportsbook odds heavily favor one outcome, you might see a different assessment reflected in the trading activity here. Discrepancies can arise due to differing information access, risk tolerance, or simply varying perspectives on the fighters’ capabilities. It’s common to see prediction markets offer more nuanced probabilities than simple win/loss scenarios.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing the probability of the fight going the distance. As more people buy contracts, the price increases, indicating a higher perceived chance of that outcome. Conversely, selling contracts lowers the price. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price reflects the collective belief of all participants, and the market dynamically adjusts to new information and trading activity. This creates a real-time probability assessment driven entirely by supply and demand among traders.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on whether the fight between Chad Anheliger and Steven Koslow goes the full scheduled distance, as determined by official fight results. The official decision will be used to determine whether the market resolves in favor of the 'Fight goes the distance?' outcome. Any official result, including a knockout, technical knockout, or disqualification, will result in a negative resolution for that outcome.

Several factors could influence trading activity in this market. Any news regarding the fighters’ training, health, or potential injuries would likely have a significant impact. Changes in public perception, perhaps driven by pre-fight interviews or analysis, could also shift the odds. Unexpected announcements about the fight’s location or rules could also introduce volatility. Finally, large-volume trades from informed participants could signal new information or a change in sentiment, causing the price to move rapidly. Monitoring these signals can help understand the dynamic probabilities reflected in this market.