TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 30, 10:42 AM EST
Kalshi
This market tracks whether PSV will win their soccer match against AFC Ajax on September 5, 2026. Currently, the aggregated probability of PSV winning is 99.5%, based on data from Kalshi and Polymarket. Resolution will be determined by official statistics from the Eredivisie governing body or event organizers, with fallback to Flashscore, Sofascore, or credible reporting consensus. A potential draw is currently priced at 0.5%. Keep an eye on the match itself on September 5, 2026, to see if PSV secures the win as overwhelmingly predicted by the market.
This event is for the upcoming Eredivisie game, scheduled for Saturday, September 5, 2026 between AFC Ajax and PSV.
The markets resolve based on the full-time result of the Feyenoord vs Den Haag Eredivisie match scheduled for August 30, 2026, after 90 minutes plus stoppage time. A 'Yes' outcome for Feyenoord or Den Haag occurs only if that team secures a victory within regular time; draws resolve the 'Tie' market. If the match is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will settle at a fair price. Extra time and penalty shootouts do not affect the resolution, as only the result after regular time counts. Kalshi disclaims any official affiliation with the league, and all trademarks remain property of their respective owners.
Prediction market odds often differ from traditional sportsbook lines because they reflect the aggregated beliefs of informed traders rather than set benchmarks. In this market, prediction markets may price outcomes with a wider or narrower spread, depending on perceived risks and recent performance data. The gap between the two can highlight where smart money sees value versus public betting trends.
On Polymarket and Kalshi, prices can vary due to differences in user base, liquidity, and trading activity. 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. For example, one platform might attract more local fans, skewing its odds temporarily, while the other could reflect international traders. Additionally, each venue sets its own fee structure, which influences how users place bets and therefore how probabilities are priced.