TOTAL VOLUME:

$134b

24H VOL:

$87,997,338

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,395,155,069

395,664

Markets across

30,076

events

MATCHED EVENTS:

2,626

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Insights
Indices
Tour
All
Trending
Breaking
New
Ending Soon
Politics
Sports
Crypto
Companies
Elections
Financials
Economics
Other
Entertainment
Science and Technology
RCD Espanyol de Barcelona vs. Getafe CF
polymarket
kalshi

RCD Espanyol de Barcelona vs. Getafe CF

Volume:
$2,986,276

Getafe CF

all

2 markets

Polymarket

Kalshi

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Mar 21, 2026

Closed: Mar 21, 11:15 AM EST

polymarket

Polymarket

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

Getafe CF

View
100%
Yes 100¢No 0¢
—
N/A
$330,969
N/A
N/A
N/A
Settled
Yes
kalshi

Getafe

View
100%
Yes 100¢No 0¢
—
N/A
$205,613
N/A
N/A
$134,698
Settled
Yes
polymarket

RCD Espanyol de Barcelona

View
0%
Yes 0¢No 100¢
—
N/A
$1,952,563
N/A
N/A
N/A
Settled
No
kalshi

Espanyol

View
0%
Yes 0¢No 100¢
—
N/A
$299,782
N/A
N/A
$202,707
Settled
No
polymarket

Draw (RCD Espanyol de Barcelona vs. Getafe CF)

View
0%
Yes 0¢No 100¢
—
N/A
$120,122
N/A
N/A
N/A
Settled
No
kalshi

Tie

View
0%
Yes 0¢No 100¢
—
N/A
$77,228
N/A
N/A
$64,020
Settled
No
Total markets: 6

Description

RCD Espanyol de Barcelona will face Getafe CF in a La Liga match scheduled for March 21, 2026. This event group captures three mutually exclusive outcomes: an Espanyol win, a Getafe win, or a draw. 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: Polymarket and Kalshi use fundamentally incompatible resolution logic. Polymarket defines three mutually exclusive binary markets (Espanyol win, Draw, Getafe win) where exactly one resolves YES, while Kalshi defines three markets that ALL resolve YES regardless of match outcome, creating a logical contradiction.Hero tip: Do not trade across these platforms assuming consistent outcomes. On Polymarket, exactly one of the three markets will resolve YES and two will resolve NO. On Kalshi, all three markets resolve YES simultaneously, making Kalshi's markets logically incoherent for a single match outcome. Verify which platform you are trading on before placing bets.

Critical divergence points:

  • Polymarket: Outlier: Polymarket defines three mutually exclusive binary markets where the match outcome determines exactly one YES resolution. Each market (Espanyol win, Draw, Getafe win) resolves YES or NO based on the actual match result after 90 minutes plus stoppage time. Key quote: 'If RCD Espanyol de Barcelona wins, this market will resolve to Yes. Otherwise, this market will resolve to No' and separately 'If the game ends in a draw, this market will resolve to Yes. Otherwise, this market will resolve to No.'
  • Kalshi: Outlier: Kalshi defines three markets that each resolve YES if their respective outcome occurs, but the resolution logic is stated as three independent conditional statements that collectively guarantee all three markets resolve YES regardless of match outcome. The three conditions ('If Tie wins... then resolves to Yes', 'If Getafe wins... then resolves to Yes', 'If Espanyol wins... then resolves to Yes') cover all possible outcomes, meaning every market resolves YES no matter what happens. This creates a logical impossibility for a single match.
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.