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%

BETA
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Sports
SSC Napoli vs. SS Lazio
polymarket
kalshi

SSC Napoli vs. SS Lazio

Volume:
$2,233,936

Lazio

all

2 markets

Kalshi

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Apr 18, 2026

Closed: Apr 18, 3:00 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

Lazio

View
100%
Yes 100¢No 0¢
—
N/A
$625,756
N/A
N/A
$430,990
Settled
Yes
polymarket

SS Lazio

100%
Yes 100¢No 0¢
—
N/A
$296,654
N/A
N/A
N/A
Settled
Yes
kalshi

Napoli

0%
Yes 0¢No 100¢
—
N/A
$584,161
N/A
N/A
$379,491
Settled
No
polymarket

SSC Napoli

0%
Yes 0¢No 100¢
—
N/A
$514,241
N/A
N/A
N/A
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$163,159
N/A
N/A
$120,815
Settled
No
polymarket

Draw (SSC Napoli vs. SS Lazio)

0%
Yes 0¢No 100¢
—
N/A
$49,965
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 18, 2026 between SSC Napoli and SS Lazio.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

All three markets (Polymarket draw, Polymarket Lazio win, Polymarket Napoli win, and Kalshi outcomes) resolve based on the official final result of the SSC Napoli vs. SS Lazio match on April 18, 2026, after 90 minutes plus stoppage time, with consistent handling of postponements and cancellations across platforms.Primary resolution logic: Official statistics of the event as recognized by the governing body (Lega Serie A) or event organizers; if not published within 2 hours after conclusion, consensus of credible reporting may be used.

Core resolution logic:

  • Market resolves based on the final outcome of the match after 90 minutes of regular play plus stoppage time (no extra time or penalties).
  • Polymarket draw market resolves YES if the match ends in a draw, NO otherwise; resolves YES if the game is canceled with no make-up.
  • Polymarket Lazio win market resolves YES if SS Lazio wins, NO otherwise; resolves NO if the game is canceled with no make-up.
  • Polymarket Napoli win market resolves YES if SSC Napoli wins, NO otherwise; resolves NO if the game is canceled with no make-up.
  • Kalshi markets resolve YES for any outcome (Tie, Lazio win, or Napoli win) that occurs after 90 minutes plus stoppage time.
  • If the game is postponed, all markets remain open until the match is completed.

Edge cases & clarifications:

  • Game Cancellation: If the game is canceled entirely with no make-up game, Polymarket draw market resolves YES, while Polymarket Lazio and Napoli win markets resolve NO. Kalshi markets would not resolve under this scenario as no outcome occurs.
  • Game Postponement: If the game is postponed, all markets remain open and unresolved until the match is completed on its rescheduled date.
  • Resolution Source Timing: Primary resolution uses official Lega Serie A statistics. If official statistics are not published within 2 hours after match conclusion, credible reporting consensus may be used as fallback.
Timing: Resolution occurs upon official announcement of the final match result by Lega Serie A or event organizers, 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.