TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

Markets across

30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Sports
RCD Espanyol de Barcelona vs. Real Oviedo
kalshi
polymarket

RCD Espanyol de Barcelona vs. Real Oviedo

Volume:
$3,676,090

Draw (RCD Espanyol de Barcelona vs. Real Oviedo)

all

2 markets

Polymarket

Kalshi

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Mar 10, 2026

Closed: Mar 9, 4:00 PM EST

polymarket

Polymarket

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

Draw (RCD Espanyol de Barcelona vs. Real Oviedo)

View
100%
Yes 100¢No 0¢
—
N/A
$633,937
N/A
N/A
N/A
Settled
Yes
kalshi

Tie

100%
Yes 100¢No 0¢
—
N/A
$60,458
N/A
N/A
$36,470
Settled
Yes
polymarket

RCD Espanyol de Barcelona

0%
Yes 0¢No 100¢
—
N/A
$1,519,150
N/A
N/A
N/A
Settled
No
kalshi

Espanyol

0%
Yes 0¢No 100¢
—
N/A
$930,532
N/A
N/A
$872,207
Settled
No
polymarket

Real Oviedo

0%
Yes 0¢No 100¢
—
N/A
$355,839
N/A
N/A
N/A
Settled
No
kalshi

Oviedo

0%
Yes 0¢No 100¢
—
N/A
$176,174
N/A
N/A
$110,284
Settled
No
Total markets: 6

Description

This event group covers the La Liga match between RCD Espanyol de Barcelona and Real Oviedo scheduled for March 9, 2026. Markets across Kalshi and Polymarket assess the three possible outcomes (Espanyol win, draw, or Oviedo win) based on the result after 90 minutes plus stoppage time, excluding extra time or penalties.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Both platforms use identical match resolution windows (90 minutes plus stoppage time) and reference the same primary source (La Liga official statistics), with consistent handling of postponements and a minor divergence in cancellation logic that does not affect normal match resolution.Primary resolution logic: Official La Liga statistics (laliga.com); if unavailable within 2 hours after match conclusion, credible consensus reporting from recognized sports data providers.

Core resolution logic:

  • Match result is determined after 90 minutes of regular play plus stoppage time only; extra time and penalties are excluded from consideration.
  • Three mutually exclusive outcomes are recognized: Espanyol win, draw, or Oviedo win.
  • Resolution uses official statistics published by La Liga or the event organizers as the primary source.
  • If official statistics are not available within 2 hours after match conclusion, a consensus of credible reporting may be used.
  • Postponed matches remain open on all markets until the match is completed and a result is available.

Edge cases & clarifications:

  • Match Cancellation (No Makeup): Polymarket draw market resolves Yes; Polymarket win markets (Espanyol and Oviedo) resolve No. Kalshi's structure implicitly treats cancellation as a non-event; clarification from Kalshi is recommended for this edge case.
  • Postponement: All markets remain open and unresolved until the match is completed. No automatic resolution occurs due to postponement alone.
  • Official Statistics Delay: If La Liga does not publish final statistics within 2 hours of match conclusion, resolution may proceed using credible consensus reporting from recognized sports data sources.
Timing: Resolution occurs after the match concludes (90 minutes plus stoppage time) and official statistics are published or consensus is established, typically within 2-3 hours of match end.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.