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Charlotte vs Columbus: Spread
kalshi

What is the result of Charlotte vs Columbus?

Volume:
$74,487

Charlotte wins by more than 1.5 goals

 - Kalshi

Charlotte wins by more than 1.5 goals - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 16, 2026

Closed: Aug 15, 10:05 PM EST

kalshi

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Charlotte wins by more than 1.5 goals

View
100%
Yes 100¢No 0¢
100¢
N/A
$18,137
N/A
N/A
$8,539
Settled
Yes
kalshi

Columbus wins by more than 1.5 goals

0%
Yes 0¢No 100¢
100¢
N/A
$31,354
N/A
N/A
$13,544
Settled
No
kalshi

Charlotte wins by more than 2.5 goals

0%
Yes 0¢No 100¢
100¢
N/A
$20,367
N/A
N/A
$10,839
Settled
No
kalshi

Columbus wins by more than 2.5 goals

0%
4%
Yes 0¢No 100¢
100¢
N/A
$3,021
N/A
N/A
$2,720
Settled
No
kalshi

Charlotte wins by more than 3.5 goals

0%
Yes 0¢No 100¢
100¢
N/A
$1,609
N/A
N/A
$1,469
Settled
No
Total markets: 5

Description

For the Charlotte vs Columbus MLS encounter, participants will gauge the likelihood of either team winning by a notable margin. The event hinges on whether Charlotte produces a dominant performance or if Columbus wins comfortably enough to meet specific score differences.

Kalshi

The event covers four potential outcomes for the Charlotte vs Columbus MLS match set for August 15, 2026, each defined by a goal-differential threshold: Charlotte winning by more than 2.5 goals, Charlotte winning by more than 1.5 goals, Columbus winning by more than 1.5 goals, and Columbus winning by more than 2.5 goals. The resolution is based exclusively on the full-time score after 90 minutes plus stoppage time, not including extra time or penalties. A rule resolves to Yes if its condition is met; otherwise, it resolves to No. Kalshi emphasizes it is not officially linked to the MLS, and all trademarks and logos remain property of the league.

Frequently asked questions

On Kalshi, the dashboard for the Charlotte vs Columbus spread market tracks real-time odds, price history, and 24-hour volume of $70,038. It shows how traders on Kalshi are pricing the game’s point differential, with updates reflecting market sentiment and trading activity. The interface gives you a live view of where the spread stands, how it has moved, and the level of interest as measured by volume of $74,487. This lets followers see what the crowd thinks about the expected margin of victory.

Prediction market odds in this market often differ from traditional sportsbook lines because they reflect the collective wisdom of traders rather than set benchmarks. While sportsbooks may post a favored spread based on analytics and public betting patterns, traders on Kalshi continuously adjust prices based on new information, injuries, or shifts in team performance. This can lead to tighter or wider spreads depending on market dynamics. Comparing the two gives a view of where public and trader sentiment diverge or align.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders set the price through buying and selling contracts that represent possible point differentials. The current odds show the implied probability of each outcome based on available contracts and trading volume. As new data emerges — such as player injuries or coaching changes — traders react, moving the market price. This continuous adjustment ensures that the spread reflects the most recent expectations among participants, often differing from static sportsbook lines.

This market resolves around Aug 16, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score difference will determine whether the spread favors Charlotte or Columbus, and the market will settle based on that confirmed result. Timing aligns with the official game conclusion, ensuring all participants have a clear, publicly verifiable reference for the outcome.

Injuries to key players, changes in coaching strategy, or even weather conditions could shift expectations and move this market. Strong pre-game performances in practice, trades, or updates from team officials may also influence trader sentiment. As these signals emerge, the odds will adjust on Kalshi to reflect the evolving outlook for the game’s point differential, potentially widening or narrowing the spread based on new information.