TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 7, 4:01 PM EST
Kalshi
This group tracks the total number of corner kicks taken in the Saudi Professional League match between Al Hilal Saudi Club and NEOM SC. Markets exist for the total corners, over/under thresholds, and corners taken by each team, as well as first/second half splits. Resolution relies on official statistics, with fallbacks to Flashscore and Sofascore.
Total corners markets for the Saudi Professional League game between Al Hilal Saudi Club and NEOM SC, scheduled for September 7, 2026 at 2:00 PM ET.
Resolution depends on whether the winning team achieves a victory margin exceeding the stated goal differential during the regular 90 minutes plus stoppage time, not including extra time or penalties. A 'Yes' result is triggered for the respective market if the condition is met. Kalshi states no official connection to the league, and all trademarks belong to their original owners.
Total corners markets for the Saudi Professional League game between Al Hilal Saudi Club and NEOM SC, scheduled for September 7, 2026 at 2:00 PM ET.
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. The differing prices between Polymarket and Predict for the Al Hilal vs NEOM corners market can stem from several factors. Each platform attracts a different user base with varying levels of expertise and access to information. Trading volume also plays a role; higher volume on one platform can lead to more efficient price discovery. Furthermore, the specific mechanisms for trading and market making on Polymarket and Predict can influence price formation. The 24-hour volume for this market is $140,763, and these differences in user behavior and platform mechanics contribute to the observed price variations.