TOTAL VOLUME:
$134.2b
24H VOL:
$126,590,312
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,439,516,703
404,175
Markets across
30,277
events
MATCHED EVENTS:
2,685
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 23, 3:15 PM EST
Kalshi
This group of markets focuses on the outcome of the CD Castellón vs. CE Sabadell FC soccer match scheduled for August 23, 2026. The markets cover three possible outcomes: CD Castellón win, CE Sabadell FC win, and a draw, all determined within 90 minutes of regular play plus stoppage time.
This event is for the upcoming La Liga 2 game, scheduled for Sunday, August 23, 2026 between CD Castellón and CE Sabadell FC.
Markets resolve based on the match outcome after 90 minutes plus stoppage time. A win for Castellon resolves the Castellon market to Yes; a win for Sabadell resolves the Sabadell market to Yes; a tie resolves the Tie market to Yes. If the game is canceled or rescheduled beyond 48 hours, markets resolve to a fair price.
Prediction market odds often differ from traditional sportsbook lines due to diverse participant motivations and information sources. While sportsbooks may set lines based on broader public betting patterns and adjusted margins, prediction markets reflect the aggregated beliefs of a more varied participant base, including sharp traders and analytics enthusiasts. This can lead to variations in implied probabilities, especially for niche matchups like this one, where prediction platforms might show a tighter spread or different favorite compared to sportsbooks.
On Polymarket and Kalshi, prices can vary due to differences in user bases, liquidity, and how each platform’s trading mechanics work. 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 venue might attract more fans of a particular team, skewing its odds. Trading volume also plays a role — a market with low volume can see bigger price swings from single trades. Additionally, each platform’s fee structure and design may influence how traders place bets, leading to divergent views on the same event. These factors combined mean that Polymarket and Kalshi can show different probabilities for outcomes in this market.