TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 22, 8:41 PM EST
Kalshi
This market tracks whether Operário Ferroviário EC will win their Brazilian Série B soccer match against AA Ponte Preta on July 22, 2026. The aggregated consensus probability for Operário Ferroviário EC winning stands at 100.0%, with AA Ponte Preta at 0.1%, drawing data from Polymarket and Kalshi, and resolution governed by the official CBF Serie B rules. The final outcome will be confirmed after the match concludes on July 23, 2026.
This event is for the upcoming Brazil Serie B game, scheduled for Wednesday, July 22, 2026 between Operário Ferroviário EC and AA Ponte Preta.
Resolution is based on the final result of the Ferroviario vs Ponte Preta Brasileiro Serie B match after 90 minutes plus stoppage time, with extra time and penalties excluded. Each possible outcome—Ferroviario victory, Ponte Preta victory, or a tie—resolves its corresponding market to Yes. If the match ends in a draw, the Tie market resolves to Yes. Should the game be cancelled or rescheduled to more than two weeks away, the market will resolve to a fair price in accordance with established rules.
Prediction markets and traditional sportsbooks price outcomes differently. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets rely on trader supply and demand to discover prices. Prediction market odds often reflect longer-term consensus and can be more efficient when many informed traders participate. However, sportsbooks may move faster on breaking news or injury reports. Comparing the two can reveal value: if a prediction market price diverges significantly from a sportsbook line, it may signal an opportunity or reflect different information sets between the two venues.
Key injury announcements, team roster changes, or recent form shifts can significantly alter trader sentiment. Betting line movements at major sportsbooks often precede prediction market moves, so monitoring those can provide early signals. Weather conditions, venue factors, or historical head-to-head records may also influence pricing as traders refine their forecasts. Social media sentiment and expert commentary can drive retail trader activity. As the match date nears, any official team news or lineup confirmations typically trigger sharp price adjustments, especially if they contradict prior expectations.