TOTAL VOLUME:

$134.2b

24H VOL:

$129,159,707

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,442,132,418

404,744

Markets across

30,489

events

MATCHED EVENTS:

2,691

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Shanghai Shenhua FC vs. Shanghai Haigang FC - More Markets
polymarket
kalshi

Shanghai Shenhua FC vs. Shanghai Haigang FC - More Markets

Volume:
$44,353

Shanghai Shenhua

 - Kalshi

Shanghai Shenhua - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Apr 17, 2026

Closed: Apr 11, 10:35 AM 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

Shanghai Shenhua

View
100%
Yes 100¢No 0¢
—
N/A
$6,768
N/A
N/A
$5,762
Settled
Yes
polymarket

O/U 1.5

View
0%
Yes 0¢No 100¢
—
N/A
$10,584
N/A
N/A
N/A
Settled
Yes
kalshi

Shanghai Port

View
0%
Yes 0¢No 100¢
—
N/A
$5,783
N/A
N/A
$4,698
Settled
No
polymarket

O/U 2.5

View
0%
Yes 0¢No 100¢
—
N/A
$5,631
N/A
N/A
N/A
Settled
Yes
polymarket

Shanghai Shenhua FC (-1.5)

View
0%
Yes 0¢No 100¢
—
N/A
$4,776
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 4.5

View
0%
Yes 0¢No 100¢
—
N/A
$3,465
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 3.5

View
0%
Yes 0¢No 100¢
—
N/A
$3,060
N/A
N/A
N/A
Settled
Yes
kalshi

Tie

View
0%
Yes 0¢No 100¢
—
N/A
$2,855
N/A
N/A
$2,454
Settled
No
polymarket

Both Teams to Score

View
0%
Yes 0¢No 100¢
—
N/A
$796
N/A
N/A
N/A
Settled
No
polymarket

Shanghai Shenhua FC (-2.5)

View
0%
Yes 0¢No 100¢
—
N/A
$293
N/A
N/A
N/A
Settled
Yes
polymarket

Shanghai Haigang FC (-1.5)

View
0%
Yes 0¢No 100¢
—
N/A
$214
N/A
N/A
N/A
Settled
Yes
polymarket

Shanghai Haigang FC (-2.5)

View
0%
Yes 0¢No 100¢
—
N/A
$128
N/A
N/A
N/A
Settled
Yes
Total markets: 12

Description

More markets for the Chinese Super League game, scheduled for April 11 at 7:35 AM ET.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Polymarket and Kalshi reference fundamentally different opposing teams. Polymarket markets pit Shanghai Shenhua FC against Shanghai Haigang FC, while Kalshi markets pit Shanghai Shenhua against Shanghai Port. This is a data integrity failure that makes cross-platform comparison impossible and renders one or both platform groups unresolvable against the stated event.Hero tip: Do not trade across Polymarket and Kalshi for this event group. The teams do not match: Polymarket uses Haigang FC as the opponent, while Kalshi uses Port. Verify which team actually plays Shanghai Shenhua on April 11, 2026, then trade only on the platform that names the correct opponent. Trading on both platforms exposes you to a complete mismatch in settlement.

Critical divergence points:

  • Polymarket: Outlier: Polymarket resolves all markets (O/U 1.5, 2.5, 3.5, 4.5, spreads, both teams to score) based on Shanghai Shenhua FC vs. Shanghai Haigang FC, with resolution source csl-china.com and scope limited to 90 minutes plus stoppage time. Key quote: 'This market will resolve according to the official final score published on csl-china.com.'
  • Kalshi: Outlier: Kalshi resolves markets based on Shanghai Shenhua vs. Shanghai Port (not Haigang), with three binary outcomes (Shenhua win, Port win, or Tie) all resolving to Yes, and scope limited to 90 minutes plus stoppage time. Key quote: 'If Shanghai Shenhua wins the Shanghai Shenhua vs Shanghai Port professional Chinese Super League soccer game originally scheduled for Apr 11, 2026 after 90 minutes plus stoppage time...then the market resolves to Yes.'
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.