TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 6, 11:29 PM EST
Polymarket
This prediction group covers various markets related to the Brazil Serie B soccer match between Goiás EC and Athletic Club. Markets include spread betting, over/under goals, and both teams to score, both for the entire match and for the first half. The markets aim to predict the outcome of the game based on official statistics.
More markets for the Brazil Serie B game, scheduled for October 6 at 7:30 PM ET.
The markets resolve based on whether the total goals scored by both teams in the Goias vs Athletic Club Sjdr professional Brasileiro Serie B soccer game, originally scheduled for Oct 6, 2026, after 90 minutes plus stoppage time (excluding extra time and penalties), exceed specified thresholds (0.5, 1.5, 2.5, 3.5, 4.5, or 5.5 goals). If the condition is met for a given market, it resolves to Yes; otherwise, it resolves to No. Kalshi disclaims any official affiliation with the governing league, and all trademarks remain the property of their respective owners.
Prediction market odds, like those found on Polymarket and Kalshi for this market, often differ from traditional sportsbook odds due to the mechanisms behind price discovery. Sportsbooks set odds based on statistical models and expert analysis, while prediction markets rely on the collective intelligence of traders who buy and sell contracts representing possible outcomes. This market's implied probabilities can sometimes be more accurate, especially when incorporating information not readily available to sportsbook oddsmakers. The difference can also stem from varying levels of liquidity and market participation.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Prices on Polymarket and Kalshi for the Goiás vs. Athletic Club match may diverge due to several factors. Each platform attracts a different user base with varying expertise and information. Trading fees and platform-specific rules can also influence price formation. Furthermore, the volume traded on each platform impacts price discovery – lower volume can lead to greater price volatility. While both platforms are tracking the same event, these differences in market dynamics can result in distinct probabilities being reflected in the prices.