TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 30, 3:34 PM EST
Polymarket
This market tracks whether Rangers FC will win the upcoming Scottish Premiership match against Aberdeen FC. On Polymarket, the current probability that Rangers FC will win stands at 100.0%, with Aberdeen FC to win at 0.1%. The result will be settled according to official records from https://spfl.co.uk/. The decisive moment will be the match's final whistle on August 30, 2026.
This event is for the upcoming Scottish Premiership game, scheduled for Sunday, August 30, 2026 between Aberdeen FC and Rangers FC.
On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Polymarket, traders set prices through continuous bidding, with the current top outcome reflecting the most likely result according to market participants. The implied probability of each outcome is derived from the trading volume and order book depth, allowing for rapid adjustments as new data influences expectations. This mechanism captures a crowd-sourced forecast that can shift dramatically ahead of key events.
This market resolves around Aug 30, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result is determined by the official match conclusion, and the market settles based on that verified data. Timing aligns closely with the actual match end, ensuring participants can track real-world developments as they occur.
Injuries to key players, tactical announcements from coaches, or shifting weather conditions could all move this market. Additionally, early betting trends or momentum swings during the match itself may cause rapid price adjustments. As the event nears, any credible news that alters perceptions of likely outcomes — whether from analysts, fan polls, or pre-match ceremonies — can influence trader behavior and shift market probabilities.