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$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

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OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

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Kalshi:

61%

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RCD Mallorca vs. Real Betis Balompié
polymarket
kalshi

RCD Mallorca vs. Real Betis Balompié

Volume:
$2,990,809

Real Betis wins by over 1.5 goals

 - Kalshi

Real Betis wins by over 1.5 goals - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Feb 16, 2026

Closed: Feb 15, 6:00 PM EST

kalshi

Kalshi

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

Real Betis wins by over 1.5 goals

View
0%
Yes 0¢No 100¢
—
-$379
$20,025
N/A
N/A
$14,181
Settled
No
kalshi

Real Betis wins by over 2.5 goals

0%
Yes 0¢No 100¢
—
$567
$5,025
N/A
N/A
$4,660
Settled
No
kalshi

Mallorca wins by over 2.5 goals

0%
Yes 0¢No 100¢
—
-$4,296
$1,498
N/A
N/A
$1,465
Settled
No
kalshi

Mallorca wins by over 1.5 goals

0%
Yes 0¢No 100¢
—
$2,277
$1,008
N/A
N/A
$980
Settled
No
polymarket

Real Betis Balompié

100%
Yes 100¢No 0¢
—
N/A
$2,600,299
0%
N/A
N/A
N/A
polymarket

RCD Mallorca

0%
Yes 0.1¢No 99.9¢
—
$418,325
$221,310
0%
N/A
N/A
N/A
polymarket

Draw (RCD Mallorca vs. Real Betis Balompié)

0%
Yes 0.1¢No 99.9¢
—
N/A
$141,644
0%
N/A
N/A
N/A
Total markets: 7

Description

This event group covers the La Liga match between RCD Mallorca and Real Betis Balompié scheduled for February 15, 2026. Markets span three outcome types: match winner (Mallorca win, Betis win, or draw) and goal-margin thresholds (1.5+ and 2.5+ goal victories for either team). All markets settle on the result after 90 minutes plus stoppage time, excluding extra time and penalties.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Both platforms settle on the identical match outcome within 90 minutes plus stoppage time using La Liga as the authoritative source; outcome-type differences (binary vs. margin-based) do not create logical conflict.Primary resolution logic: La Liga official match records and statistics (https://www.laliga.com/)

Core resolution logic:

  • Match result determined after 90 minutes of regular play plus referee stoppage time only
  • Extra time and penalty shootouts are excluded from settlement
  • Polymarket binary markets: Mallorca win resolves Yes if Mallorca scores more goals; Betis win resolves Yes if Betis scores more goals; draw resolves Yes if both teams score equal goals
  • Kalshi margin markets: Betis >2.5 resolves Yes if Betis wins by 3+ goals; Betis >1.5 resolves Yes if Betis wins by 2+ goals; Mallorca >2.5 resolves Yes if Mallorca wins by 3+ goals; Mallorca >1.5 resolves Yes if Mallorca wins by 2+ goals
  • If match is postponed, all markets remain open until the match is completed
  • If match is canceled with no makeup game, Polymarket draw market resolves Yes; Polymarket winner markets and all Kalshi markets resolve No

Edge cases & clarifications:

  • Postponement: All markets remain open and unresolved until the match is played to completion
  • Cancellation without makeup: Polymarket draw market resolves Yes (per explicit rule); Polymarket winner markets resolve No; Kalshi margin markets resolve No
  • Goal margin edge cases: A 2-0 victory resolves Yes for >1.5 margin markets but No for >2.5 margin markets; a 3-0 victory resolves Yes for both
Timing: Resolution occurs immediately after the match concludes (90 minutes plus stoppage time). If postponed, resolution is deferred until the rescheduled match is completed.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.