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.