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405,232

Markets across

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events

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2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

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61%

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FC Anyang vs. Gwangju FC
polymarket
kalshi

What is the result of FC Anyang vs. Gwangju FC?

Volume:
$450,442

Tie

all

2 markets

Kalshi

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 19, 2026

Closed: Jul 19, 8:31 AM 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

Tie

View
100%
Yes 100¢No 0¢
100¢
N/A
$49,713
N/A
N/A
$32,021
Settled
Yes
polymarket

Draw (FC Anyang vs. Gwangju FC)

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$25,252
N/A
N/A
N/A
Settled
Yes
polymarket

FC Anyang

View
0%
Yes 0¢No 100¢
—
N/A
$178,266
N/A
N/A
N/A
Settled
No
kalshi

FC Anyang

View
0%
Yes 0¢No 100¢
100¢
N/A
$103,754
N/A
N/A
$49,236
Settled
No
kalshi

Gwangju

View
0%
Yes 0¢No 100¢
100¢
N/A
$57,405
N/A
N/A
$33,162
Settled
No
polymarket

Gwangju FC

View
0%
Yes 0¢No 100¢
—
N/A
$36,050
N/A
N/A
N/A
Settled
No
Total markets: 6

Description

This event group covers a K League 1 soccer match between FC Anyang and Gwangju FC scheduled for July 19, 2026. Three markets across Polymarket and Kalshi assess the match outcome: FC Anyang win, draw, and Gwangju FC win. All markets resolve based on the result after 90 minutes of regular play plus stoppage time, excluding extra time or penalties.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: The Polymarket draw market contains a cancellation clause that resolves YES if the game is canceled with no makeup, while all win markets (Polymarket and Kalshi) resolve NO in the same scenario. This creates a logical contradiction where all three mutually exclusive outcomes cannot simultaneously resolve NO.Hero tip: If you are holding positions across multiple markets in this group, be aware that a cancellation scenario would create an unusual payout pattern: draw YES, FC Anyang win NO, Gwangju win NO. Verify with platform support whether K League 1 has historical precedent for full cancellations without makeup games. Consider the likelihood of postponement (which keeps markets open) versus outright cancellation (which triggers the divergent logic).

Critical divergence points:

  • Polymarket: Three separate markets: FC Anyang win resolves NO on cancellation, draw resolves YES on cancellation, Gwangju win resolves NO on cancellation. Key Quote (Draw): 'If the game is canceled entirely, with no make-up game, this market will resolve to Yes.' Key Quote (Wins): 'If the game is canceled entirely, with no make-up game, this market will resolve No.'
  • Kalshi: Single combined market covering all three outcomes (FC Anyang win, Gwangju win, or Tie). Does not explicitly address cancellation scenarios. Implies standard sports resolution where no game = no resolution to YES for any outcome.
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

This event is for the upcoming K-League game, scheduled for Sunday, July 19, 2026 between FC Anyang and Gwangju FC.

Kalshi

Resolution is based on the final result of the FC Anyang vs Gwangju professional Korea K League 1 soccer game originally scheduled for July 19, 2026, evaluated after 90 minutes plus stoppage time (excluding extra time or penalties). The event encompasses three possible outcomes: an FC Anyang victory, a Gwangju victory, or a tie. If the game ends in a draw, the Tie market resolves to Yes. Should the game be cancelled or rescheduled to more than two weeks after the original date, the market will resolve to a fair price in accordance with established rules.

Frequently asked questions

This dashboard aggregates prediction market data across Polymarket and Kalshi for the FC Anyang vs. Gwangju FC match. Traders on both platforms are pricing the likelihood of each outcome, allowing you to monitor real-time consensus and compare how different venues value the same event. The cross-platform view reveals whether one platform is pricing the match differently than the other, giving you insight into where smart money is concentrating. Together, these markets reflect collective expectations about the match result, updated continuously as new information emerges.

Prediction markets and sportsbooks both reflect probability, but they operate differently. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets are peer-to-peer exchanges where traders themselves set prices through supply and demand. This means prediction markets often respond faster to breaking news and can offer sharper, less biased odds because traders have direct financial incentive to price accurately. However, sportsbooks may offer better liquidity on major events. Comparing both sources helps you identify value and understand how different market structures price the same match.

Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Price differences between venues typically stem from variations in trader composition, liquidity depth, and market-making strategies. Polymarket and Kalshi may attract different user bases with different information sets or risk tolerances, causing one platform to price the outcome higher or lower than the other. Regulatory constraints, fee structures, and order-book depth also influence where prices settle. These gaps create arbitrage opportunities for sharp traders and reflect the decentralized nature of prediction markets—no single price is canonical until the event resolves.

Key catalysts include team lineups and injury announcements, recent performance streaks, head-to-head history, and any roster changes or managerial shifts. Weather conditions on match day, betting-market activity, and social media sentiment can also drive price swings. Major upsets or unexpected developments in either team's form leading up to kickoff often trigger sharp repricing. Additionally, if one platform experiences a sudden influx of volume or a large bet, that can widen the spread between venues. Monitoring these signals helps traders anticipate moves before they're fully priced in.