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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Parma Calcio 1913 vs. Pisa SC
kalshi
polymarket

Parma Calcio 1913 vs. Pisa SC

Volume:
$812,200

Parma Calcio

all

2 markets

Kalshi

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Apr 25, 2026

Closed: Apr 25, 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
$205,325
N/A
N/A
$85,265
Settled
Yes
polymarket

Parma Calcio 1913

100%
Yes 100¢No 0¢
—
N/A
$193,957
N/A
N/A
N/A
Settled
Yes
kalshi

Pisa

0%
Yes 0¢No 100¢
—
N/A
$187,545
N/A
N/A
$169,483
Settled
No
polymarket

Pisa SC

0%
Yes 0¢No 100¢
—
N/A
$106,848
N/A
N/A
N/A
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$64,439
N/A
N/A
$32,503
Settled
No
polymarket

Draw (Parma Calcio 1913 vs. Pisa SC)

0%
Yes 0¢No 100¢
—
N/A
$54,084
N/A
N/A
N/A
Settled
No
Total markets: 6

Description

This event is for the upcoming Serie A game, scheduled for Saturday, April 25, 2026 between Parma Calcio 1913 and Pisa SC.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Both Polymarket and Kalshi use identical resolution logic: the market resolves based on the official match outcome (win, loss, or draw) after 90 minutes plus stoppage time on April 25, 2026, with consistent handling of postponements and cancellations.Primary resolution logic: Official statistics from Lega Serie A (Italian Serie A governing body) or credible reporting consensus if official statistics are not published within 2 hours of match conclusion.

Core resolution logic:

  • Parma Calcio 1913 win market resolves YES if and only if Parma wins within 90 minutes plus stoppage time; resolves NO otherwise.
  • Pisa SC win market resolves YES if and only if Pisa wins within 90 minutes plus stoppage time; resolves NO otherwise.
  • Draw market resolves YES if and only if the match ends in a draw within 90 minutes plus stoppage time; resolves NO otherwise.
  • Exactly one of the three markets will resolve YES (mutually exclusive outcomes).
  • If the match is postponed, all markets remain open until the match is completed.
  • If the match is canceled with no make-up game, Parma and Pisa 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 rescheduled match is completed. Resolution occurs only after the match is played.
  • Match Cancellation Without Make-up: If the match is canceled entirely with no make-up game scheduled, both Parma and Pisa win markets resolve NO, while the draw market resolves YES.
  • 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 is used as the fallback resolution method.
  • Extra Time and Penalties Excluded: Resolution is based strictly on the outcome after 90 minutes plus stoppage time. Extra time and penalty shootouts are not considered.
Timing: Resolution occurs upon official publication of the final match result by Lega Serie A within 2 hours of match conclusion, or upon consensus of credible reporting 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.