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%

BETA
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ACF Fiorentina vs. SS Lazio
polymarket
kalshi

ACF Fiorentina vs. SS Lazio

Volume:
$1,390,278

ACF Fiorentina

all

2 markets

Polymarket

Kalshi

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Apr 14, 2026

Closed: Apr 13, 2:45 PM EST

polymarket

Polymarket

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

ACF Fiorentina

View
100%
Yes 100¢No 0¢
—
N/A
$348,513
N/A
N/A
N/A
Settled
Yes
kalshi

Fiorentina

100%
Yes 100¢No 0¢
—
N/A
$251,164
N/A
N/A
$148,619
Settled
Yes
kalshi

Lazio

0%
Yes 0¢No 100¢
—
N/A
$381,367
N/A
N/A
$225,001
Settled
No
polymarket

SS Lazio

0%
Yes 0¢No 100¢
—
N/A
$243,631
N/A
N/A
N/A
Settled
No
polymarket

Draw (ACF Fiorentina vs. SS Lazio)

0%
Yes 0¢No 100¢
—
N/A
$96,707
N/A
N/A
N/A
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$68,896
N/A
N/A
$54,498
Settled
No
Total markets: 6

Description

This event is for the upcoming Serie A game, scheduled for Monday, April 13, 2026 between ACF Fiorentina and SS Lazio.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Polymarket and Kalshi both resolve based on the official match outcome (win, loss, or draw) after 90 minutes plus stoppage time on April 13, 2026, using the same primary source (official governing body statistics or credible reporting consensus).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:

  • Exactly one of three mutually exclusive outcomes will occur: Fiorentina wins, Lazio wins, or the match ends in a draw.
  • Each outcome maps to a single YES resolution across both platforms: Fiorentina win resolves YES on Polymarket's Fiorentina question and Kalshi's Fiorentina market; Lazio win resolves YES on Polymarket's Lazio question and Kalshi's Lazio market; draw resolves YES on Polymarket's draw question and Kalshi's Tie market.
  • All markets resolve based on the result within 90 minutes of regular play plus stoppage time only (no extra time or penalties).
  • If the match is postponed, all markets remain open until completion.
  • If the match is canceled with no make-up game, Polymarket's draw market resolves YES and both Fiorentina and Lazio win markets resolve NO; Kalshi's three markets all resolve NO (since no match outcome occurs).

Edge cases & clarifications:

  • Match Postponement: Both platforms keep all markets open until the match is completed on a rescheduled date. Resolution occurs based on the actual match result whenever it takes place.
  • Match Cancellation Without Makeup: Polymarket's draw market resolves YES (treating cancellation as a draw outcome per its rules), while Polymarket's win markets resolve NO. Kalshi's three markets all resolve NO since no match was played.
  • Official Statistics Delay: If Lega Serie A does not publish official statistics within 2 hours of match conclusion, both platforms use consensus from credible reporting sources as the resolution basis.
Timing: Resolution occurs upon publication of official match statistics by Lega Serie A within 2 hours of match conclusion, or upon 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.