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 13, 5:18 PM EST
Polymarket
This event group covers the upcoming UEFA Europa Conference League match between FK Rīgas Futbola Skola and FK Jablonec scheduled for August 13, 2026. The markets focus on predicting whether FK Rīgas Futbola Skola will win, whether the match will end in a draw, and whether FK Jablonec will win, all based on the result after 90 minutes of regular play plus stoppage time.
This event is for the upcoming UEFA Europa Conference League game, scheduled for Thursday, August 13, 2026 between FK Rīgas Futbola Skola and FK Jablonec.
The event assesses the goal differential between FC RFS and Jablonec in their professional Conference League soccer match scheduled for August 13, 2026, after 90 minutes plus stoppage time, excluding extra time or penalties. Four distinct outcome thresholds determine resolution: FC RFS winning by more than 2.5 goals, FC RFS winning by more than 1.5 goals, Jablonec winning by more than 1.5 goals, and Jablonec winning by more than 2.5 goals. If any of these conditions are met, the corresponding market resolves to Yes. The rules clarify that Kalshi has no official affiliation with the governing league, and all trademarks remain property of their respective owners.
This event is for the upcoming UEFA Europa Conference League game, scheduled for Thursday, August 13, 2026 between FK Rīgas Futbola Skola and FK Jablonec.
Prediction market odds often reflect a different outlook than traditional sportsbook lines. On prediction platforms, prices are set by traders continuously, which can make them more responsive to new information and shifting sentiment. Sportsbook odds, by contrast, are adjusted by analysts and may include handling fees or other business considerations. For this market, the trader-driven approach could produce tighter spreads or different favorites compared to standard sportsbooks, especially as match day approaches and new data emerges.
On Polymarket and Predict, prices can diverge because each venue has its own user base, liquidity conditions, and trading dynamics. Polymarket 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. For example, one platform might attract more users who favor a particular team due to regional bias or recent performance narratives. Additionally, differences in market design, such as fee structures or order types, can influence how traders place bets, leading to variations in the implied probabilities for the same event.
Injuries to key players, changes in coaching strategy, or recent form for either team can all shift trader sentiment and move this market. Additionally, weather conditions, disciplinary actions, or even early betting trends on other platforms may influence prices. As the match nears, any news that affects the perceived likelihood of a win, loss, or draw will likely cause fluctuations in the odds across venues.