TOTAL VOLUME:
$134.2b
24H VOL:
$126,590,312
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,439,516,703
404,175
Markets across
30,277
events
MATCHED EVENTS:
2,685
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 29, 4:21 PM EST
Kalshi
This event tracks the total number of goals scored in a specific soccer match between Figueirense and Maranhao AC MA. The outcome depends on whether the combined goals exceed various thresholds, providing insight into the match's offensive intensity. It reflects the competitive nature of the Brasileiro Serie C game scheduled for August 29, 2026.
The event evaluates whether the total goals scored by both teams in the Figueirense vs Maranhao AC MA professional Brasileiro Serie C soccer match, scheduled for August 29, 2026, exceed specified thresholds. The match must be completed within 90 minutes plus any stoppage time; extra time and penalty shootout goals are excluded from consideration. Each market corresponds to a different goal threshold (0.5, 1.5, 2.5, 3.5, 4.5, or 5.5 goals). If the cumulative goals meet or surpass the threshold for a given market, that market resolves to 'Yes'; otherwise, it resolves to 'No'. All markets are independent, and each has its own resolution criteria based solely on the final goal count within regular time. The event emphasizes real-time scoring dynamics without regard to post-match tiebreakers or extended play.
This market resolves around Aug 30, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score of the match will determine whether the total goals fall above or below the specified threshold, closing the market and settling all positions based on the confirmed result.
Injuries, weather conditions, and tactical changes can shift expectations and move this market before resolution. Key moments such as recent match performance, player availability announcements, and shifts in betting trends may cause traders to adjust their positions. As the match nears, any last-minute news or analysis could produce noticeable price swings, reflecting updated probabilities for the total number of goals scored.