TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

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30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

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New York City vs Necaxa: Spread
kalshi

What is the result of New York City vs Necaxa?

Volume:
$61,242

Necaxa wins by more than 1.5 goals

 - Kalshi

Necaxa wins by more than 1.5 goals - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 14, 2026

Closed: Aug 13, 10:04 PM EST

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

Necaxa wins by more than 1.5 goals

View
0%
Yes 0¢No 100¢
100¢
N/A
$26,290
N/A
N/A
$13,585
Settled
No
kalshi

New York City wins by more than 1.5 goals

0%
33%
Yes 0¢No 100¢
100¢
N/A
$24,809
N/A
N/A
$16,723
Settled
No
kalshi

New York City wins by more than 2.5 goals

0%
Yes 0¢No 100¢
100¢
N/A
$7,463
N/A
N/A
$4,007
Settled
No
kalshi

Necaxa wins by more than 2.5 goals

0%
5%
Yes 0¢No 100¢
100¢
N/A
$2,680
N/A
N/A
$2,465
Settled
No
Total markets: 4

Description

These markets evaluate whether New York City or Necaxa achieves a decisive victory margin, focusing solely on regular time plus stoppage time, without considering extra time or penalties.

Kalshi

These markets resolve based on the goal differential between New York City and Necaxa in their professional Leagues Cup soccer match on August 13, 2026, considering only the 90 minutes of regular play plus stoppage time, and excluding any extra time or penalty shootout outcomes. The first two markets require New York City to win by more than 2.5 or more than 1.5 goals respectively. The latter two markets require Necaxa to win by more than 1.5 goals or more than 2.5 goals respectively. If the specified condition for a market is met, it resolves to Yes; otherwise, it resolves to No. Kalshi emphasizes no official connection with the governing league, and all trademarks belong to their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the NYC vs Necaxa spread market tracks real-time odds, price history, and 24-hour volume. It shows how traders on Kalshi are positioning around the potential point differential between the two teams. The interface updates continuously to reflect the latest betting activity and market sentiment as the match approaches. You can monitor trends, see how expectations shift, and gauge overall interest through metrics like $61,242 in trading volume.

Prediction market odds in this market often reflect a more nuanced outlook than traditional sportsbook lines, incorporating real-time trader sentiment and market dynamics. While sportsbooks may set their lines based on analytical models and historical data, prediction markets allow participants to continuously adjust positions, which can lead to tighter spreads or sharper movements ahead of key moments in the game.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders collectively set the odds for this market through their buy and sell orders. The current implied probability reflects what participants believe about the likely point spread when the two teams face off. Market depth and order placement drive price discovery, allowing users to take positions at various price points. The system updates instantly with each trade, showing how expectations evolve ahead of Aug 14, 2026.

This market resolves around Aug 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score difference will settle the market, reflecting whether the game ended with the designated spread advantage or not, based on official match results.

Injuries to key players, weather conditions affecting gameplay, and tactical decisions by coaches are all signals that could shift this market. Additionally, early game momentum or scoring swings may cause rapid adjustments in trader positioning, especially as the match approaches its final stages, influencing the perceived likelihood of different spread outcomes.