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%

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Udinese Calcio vs. Parma Calcio 1913
polymarket
kalshi

Udinese Calcio vs. Parma Calcio 1913

Volume:
$578,267

Parma Calcio

all

2 markets

Kalshi

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Apr 18, 2026

Closed: Apr 18, 12:00 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

Parma Calcio

View
100%
Yes 100¢No 0¢
—
N/A
$119,895
N/A
N/A
$73,682
Settled
Yes
polymarket

Parma Calcio 1913

100%
Yes 100¢No 0¢
—
N/A
$72,611
N/A
N/A
N/A
Settled
Yes
kalshi

Udinese

0%
Yes 0¢No 100¢
—
N/A
$162,835
N/A
N/A
$132,356
Settled
No
polymarket

Udinese Calcio

0%
Yes 0¢No 100¢
—
N/A
$88,942
N/A
N/A
N/A
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$88,188
N/A
N/A
$57,010
Settled
No
polymarket

Draw (Udinese Calcio vs. Parma Calcio 1913)

0%
Yes 0¢No 100¢
—
N/A
$45,796
N/A
N/A
N/A
Settled
No
Total markets: 6

Description

Udinese Calcio and Parma Calcio 1913 are scheduled to compete in a Serie A match on April 18, 2026. The market group captures three mutually exclusive outcomes: Udinese victory, Parma victory, 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)

Unified Resolution Criteria (Consistent across platforms)

Both Polymarket and Kalshi apply identical resolution logic: the match outcome is determined by the result after 90 minutes plus stoppage time, with the same postponement and cancellation rules, and both reference official governing body statistics as the primary source.Primary resolution logic: Official Lega Serie A statistics and the governing body or event organizers' final match records, with credible reporting consensus as fallback if official statistics are not published within 2 hours of match conclusion.

Core resolution logic:

  • Market resolves based on the match outcome after 90 minutes of regular play plus stoppage time only, excluding extra time and penalties.
  • If Udinese wins, the Udinese win market resolves YES and the Parma win and draw markets resolve NO.
  • If Parma wins, the Parma win market resolves YES and the Udinese win and draw markets resolve NO.
  • If the match ends in a draw, the draw market resolves YES and both win markets resolve NO.
  • If the match is postponed, all markets remain open until the match is completed.
  • If the match is canceled entirely with no make-up game, the draw market resolves YES and both win markets resolve NO.

Edge cases & clarifications:

  • Match Postponement: If the match scheduled for April 18, 2026 is postponed, all related markets remain open and unresolved until the match is actually played and completed.
  • Match Cancellation Without Makeup: If the match is canceled entirely with no rescheduled makeup game, the draw market resolves YES while both win markets resolve NO.
  • Resolution Source Hierarchy: Official Lega Serie A statistics are the primary source; if not published within 2 hours of match conclusion, a consensus of credible reporting sources may be used instead.
Timing: Resolution occurs upon official announcement of the final match result by Lega Serie A or credible reporting consensus, no later than 2 hours after the match conclusion.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.