TOTAL VOLUME:

$134.2b

24H VOL:

$134,145,987

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,441,166,947

406,422

Markets across

30,383

events

MATCHED EVENTS:

2,688

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Bologna FC 1909 vs. SS Lazio
polymarket
kalshi

Bologna FC 1909 vs. SS Lazio

Volume:
$5,070,010

SS Lazio

all

2 markets

Polymarket

Kalshi

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Mar 22, 2026

Closed: Mar 22, 10:00 AM EST

polymarket

Polymarket

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

SS Lazio

View
100%
Yes 100¢No 0¢
—
N/A
$362,065
N/A
N/A
N/A
Settled
Yes
kalshi

Lazio

View
100%
Yes 100¢No 0¢
—
N/A
$127,146
N/A
N/A
$62,763
Settled
Yes
polymarket

Bologna FC 1909

View
0%
Yes 0¢No 100¢
—
N/A
$4,001,187
N/A
N/A
N/A
Settled
No
kalshi

Bologna

View
0%
Yes 0¢No 100¢
—
N/A
$471,750
N/A
N/A
$428,037
Settled
No
kalshi

Tie

View
0%
Yes 0¢No 100¢
—
N/A
$68,444
N/A
N/A
$36,855
Settled
No
polymarket

Draw (Bologna FC 1909 vs. SS Lazio)

View
0%
Yes 0¢No 100¢
—
N/A
$39,419
N/A
N/A
N/A
Settled
No
Total markets: 6

Description

Bologna FC 1909 and SS Lazio will compete in a Serie A match on March 22, 2026. The outcome will be determined by the result after 90 minutes of regular play plus stoppage time, excluding extra time or penalties. Markets across platforms assess three mutually exclusive outcomes: Bologna win, Lazio win, or draw.

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 March 22, 2026, using the same primary source (official governing body statistics or credible reporting consensus).Primary resolution logic: Official statistics from Lega Serie A (Italian professional soccer governing body) or credible reporting consensus if official statistics are not published within 2 hours after match conclusion.

Core resolution logic:

  • Market resolves YES if Bologna FC 1909 wins (Polymarket market 3, Kalshi market 2).
  • Market resolves YES if SS Lazio wins (Polymarket market 2, Kalshi market 1).
  • Market resolves YES if the match ends in a draw (Polymarket market 1, Kalshi market 3).
  • Exactly ONE of the three outcome markets will resolve YES; the other two resolve NO.
  • If the match is postponed, all markets remain open until the match is completed.
  • If the match is canceled with no make-up game, the draw market resolves YES (Polymarket) and the win markets resolve NO (Polymarket and Kalshi).

Edge cases & clarifications:

  • Match Cancellation: If the match is canceled entirely with no make-up game scheduled, Polymarket's draw market resolves YES while both win markets (Bologna and Lazio) resolve NO. Kalshi's rules do not explicitly address cancellation, but the unified logic treats this as a draw outcome.
  • Postponement: If the match is postponed, all markets remain open and unresolved until the match is completed and the official result is published.
  • Resolution Timing: Official Lega Serie A statistics are the primary source. If not published within 2 hours after match conclusion, credible reporting consensus may be used as the fallback source.
Timing: Resolution occurs upon official publication of the match result by Lega Serie A within 2 hours after the match concludes (90 minutes plus stoppage time on March 22, 2026), 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.