TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 1, 4:00 PM EST
Kalshi
This event group covers the outcome of a soccer match between VV Harkemase Boys and SV Excelsior'31 scheduled for September 1, 2026. The markets focus on whether VV Harkemase Boys will win, whether the match will end in a draw, and whether SV Excelsior'31 will win.
This event is for the upcoming KNVB Beker game, scheduled for Tuesday, September 1, 2026 between VV Harkemase Boys and SV Excelsior'31.
If Harkemase B advance past Excelsior in the Harkemase B vs Excelsior soccer tie in the Qualification Round 1 of the KNVB, then the market resolves to Yes. If Excelsior advance past Harkemase B in the Harkemase B vs Excelsior soccer tie in the Qualification Round 1 of the KNVB, then the market resolves to Yes.
Prediction market odds on this market often differ from traditional sportsbook lines due to varied participant dynamics and scoring mechanisms. While sportsbooks may set a spread or moneyline based on broader analytics and risk management, prediction markets let traders price outcomes directly through betting activity. This can lead to sharper or more volatile odds, especially as new information emerges. For example, a shift in team performance or injuries may move this market more quickly than sportsbook lines, reflecting crowd-sourced forecasts rather than institutional adjustments.
On Polymarket and Kalshi, prices can vary because of differences in user bases, liquidity, and trading mechanics. Each platform attracts distinct participants, which may skew sentiment. 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 instance, one venue might see heavier betting on a particular outcome due to regional interest or promotional activity, pushing its price away from the other. Additionally, varying fee structures and order types can influence how traders place bets, leading to divergent odds even when both platforms are tracking the same event.
Injuries to key players, weather updates affecting match conditions, or shifting team form can all move this market. Media coverage highlighting tactical changes or recent performance trends may also sway trader sentiment. As the game nears, any last-minute news — such as lineup announcements or venue issues — could cause rapid adjustments in implied probabilities on both platforms.