TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 2:00 PM EST
Predict
This prediction group concerns the UEFA Nations League match between Iceland and Bulgaria. The core question across platforms is whether both teams will score at least one goal during the match within the first 90 minutes of regular play plus stoppage time.
If Iceland and Bulgaria both score a goal in the Iceland vs Bulgaria UEFA Nations League match originally scheduled for Oct 3, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.
More markets for the UEFA Nations League game, scheduled for October 3 at 12:00 PM ET.
Prediction market odds, like those found for this market, often reflect a more nuanced and aggregated assessment of potential outcomes compared to traditional sportsbook odds. Sportsbooks set lines based on their own models and profit margins, while prediction markets are driven by the wisdom of the crowd. This can lead to differences, especially as new information emerges. Prediction markets also allow traders to hedge positions, potentially leading to more accurate probabilities as the event approaches. The current volume of $58,699 suggests growing interest in this event.
Kalshi and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Price discrepancies between Kalshi and Predict for the Iceland vs Bulgaria BTTS market can occur due to several factors. Each platform attracts a different user base with varying risk appetites and predictive expertise, which influences price discovery. Additionally, trading volumes and market-making activity can differ significantly between Kalshi and Predict, leading to temporary price imbalances. Furthermore, the specific market structures and fee schedules on each platform can also contribute to these divergences. These factors combine to create unique pricing dynamics on each venue.