TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Real Madrid CF vs. Girona FC
polymarket
kalshi

Real Madrid CF vs. Girona FC

Volume:
$6,392,706

Tie

all

2 markets

Kalshi

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Apr 11, 2026

Closed: Apr 10, 6:00 PM 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¢
—
N/A
$481,193
N/A
N/A
$356,351
Settled
Yes
polymarket

Draw (Real Madrid CF vs. Girona FC)

100%
Yes 100¢No 0¢
—
N/A
$252,224
N/A
N/A
N/A
Settled
Yes
polymarket

Real Madrid CF

0%
Yes 0¢No 100¢
—
N/A
$2,070,571
N/A
N/A
N/A
Settled
No
kalshi

Real Madrid

0%
Yes 0¢No 100¢
—
N/A
$1,894,453
N/A
N/A
$1,184,256
Settled
No
polymarket

Girona FC

0%
Yes 0¢No 100¢
—
N/A
$961,472
N/A
N/A
N/A
Settled
No
kalshi

Girona

0%
Yes 0¢No 100¢
—
N/A
$732,792
N/A
N/A
$437,497
Settled
No
Total markets: 6

Description

Real Madrid CF will face Girona FC in a La Liga match scheduled for April 10, 2026. This event group captures three mutually exclusive outcomes: a Real Madrid victory, a draw, or a Girona victory, all evaluated within 90 minutes of regular play plus stoppage time. The markets resolve based on official La Liga statistics or credible consensus reporting if official data is unavailable within 2 hours of match conclusion.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Polymarket and Kalshi both resolve based on the official match outcome after 90 minutes plus stoppage time on April 10, 2026, using La Liga official statistics as the primary source, with identical treatment of postponements and cancellations.Primary resolution logic: Official La Liga statistics and governing body records

Core resolution logic:

  • Market resolves based on the match outcome after 90 minutes of regular play plus stoppage time only (no extra time or penalties).
  • Real Madrid win market resolves YES if Real Madrid scores more goals than Girona; otherwise NO.
  • Girona win market resolves YES if Girona scores more goals than Real Madrid; otherwise NO.
  • Draw market resolves YES if both teams score equal goals; otherwise NO.
  • Exactly ONE of the three outcome markets will resolve YES.
  • If the match is postponed, all markets remain open until the match is completed.
  • If the match is canceled with no make-up game, Real Madrid win and Girona win markets resolve NO, and the draw market resolves YES.

Edge cases & clarifications:

  • Match Postponement: If the match is postponed, all markets remain open and unresolved until the match is completed on its rescheduled date.
  • Match Cancellation Without Makeup: If the match is canceled entirely with no make-up game scheduled, the draw market resolves YES and both win markets resolve NO.
  • Resolution Source Timing: Primary resolution uses official La Liga statistics. If official statistics are not published within 2 hours after match conclusion, a consensus of credible reporting may be used instead.
Timing: Resolution occurs upon official publication of final match statistics by La Liga or governing body, or within 2 hours after match conclusion via credible reporting consensus if official statistics are delayed.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.