Kalshi offers four markets on total goals scored (>1.5, >2.5, >3.5, >4.5), while Polymarket offers three markets on match outcome (Betis win, draw, Braga win). The platforms resolve on fundamentally different event dimensions: Kalshi settles on aggregate goal totals, whereas Polymarket settles on the final match result (win/draw/loss).
Hero Tip:
If you trade Kalshi, you are betting on goal volume; if you trade Polymarket, you are betting on match outcome. These are independent dimensions. A high-scoring draw on Polymarket (YES on draw) could simultaneously resolve YES on Kalshi's >3.5 goals market, but a low-scoring Betis win would resolve YES on Polymarket (Betis win) and NO on all Kalshi goal markets. Do not assume correlation between the two platforms' outcomes.
Critical Divergence Points:
Kalshi:
Distinct stance: Kalshi settles on aggregate goal thresholds (>1.5, >2.5, >3.5, >4.5 total goals by both teams combined) within 90 minutes plus stoppage time. Each market resolves YES if the threshold is exceeded, NO otherwise. Key quote: 'If Real Betis and Braga collectively score more than [X] total goals... then the market resolves to Yes.'
Polymarket:
Distinct stance: Polymarket settles on match outcome (Betis win, draw, or Braga win) within 90 minutes plus stoppage time, with official UEFA statistics as primary source and credible reporting as fallback if UEFA does not publish within 2 hours. Each outcome market resolves YES or NO based on the final result. Key quote: 'If Real Betis Balompié wins, this market will resolve to Yes. Otherwise, this market will resolve to No.'
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.