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Sheffield United FC vs. Swansea City AFC
polymarket
kalshi

Sheffield United FC vs. Swansea City AFC

Volume:
$432,494

Tie

all

2 markets

Kalshi

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Apr 3, 2026

Closed: Apr 3, 1:00 PM EST

kalshi

Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Tie

View
100%
Yes 100¢No 0¢
—
N/A
$65,781
N/A
N/A
$47,308
Settled
Yes
polymarket

Draw (Sheffield United FC vs. Swansea City AFC)

View
100%
Yes 100¢No 0¢
—
N/A
$17,215
N/A
N/A
N/A
Settled
Yes
polymarket

Sheffield United FC

View
0%
Yes 0¢No 100¢
—
N/A
$180,709
N/A
N/A
N/A
Settled
No
kalshi

Sheffield United

View
0%
Yes 0¢No 100¢
—
N/A
$61,441
N/A
N/A
$33,600
Settled
No
kalshi

Swansea

View
0%
Yes 0¢No 100¢
—
N/A
$69,059
N/A
N/A
$30,336
Settled
No
polymarket

Swansea City AFC

View
0%
Yes 0¢No 100¢
—
N/A
$38,289
N/A
N/A
N/A
Settled
No
Total markets: 6

Description

Sheffield United FC and Swansea City AFC will compete in an EFL Championship match scheduled for April 3, 2026. The outcome will be determined by the result after 90 minutes of regular play plus stoppage time, excluding extra time or penalties. This is a standard league fixture where one team will win, the teams will draw, or the match may be postponed or canceled.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Polymarket and Kalshi both resolve based on the official outcome of the Sheffield United vs. Swansea City AFC match scheduled for April 3, 2026, after 90 minutes plus stoppage time, with the same primary source (EFL/governing body official statistics) and identical scope covering all three possible outcomes (Swansea win, Sheffield United win, or draw).Primary resolution logic: Official EFL (English Football League) statistics and the governing body or event organizers' final match records

Core resolution logic:

  • Market resolves based on the outcome after 90 minutes of regular play plus stoppage time only; extra time and penalties are excluded.
  • If Swansea City AFC wins, the Swansea win market resolves YES and the other two resolve NO.
  • If Sheffield United FC wins, the Sheffield United win market resolves YES and the other two resolve NO.
  • If the match ends in a draw, the draw market resolves YES and the other two 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 the win markets resolve NO.

Edge cases & clarifications:

  • Match Postponement: If the game is postponed, all markets remain open and unresolved until the match is actually played and completed.
  • Match Cancellation: If the match is canceled entirely with no make-up game scheduled, the draw market resolves YES while both win markets resolve NO.
  • Delayed Official Statistics: If official EFL statistics are not published within 2 hours after match conclusion, resolution may use consensus from credible reporting sources instead.
  • Scope Limitation: Resolution is based only on the outcome within the first 90 minutes of regular play plus stoppage time; any extra time or penalty shootout results are not considered.
Timing: Resolution occurs upon official EFL announcement of the final match result after 90 minutes plus stoppage time, or within 2 hours post-match if official statistics are delayed, with postponed matches remaining open until completion.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.