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 17, 9:46 AM EST
Polymarket
More markets for the League One game, scheduled for October 17 at 7:30 AM ET.
More markets for the League One game, scheduled for October 17 at 7:30 AM ET.
On Polymarket, this market is priced through a continuous auction mechanism. Traders deposit funds and buy or sell shares representing their belief in the probability of a specific outcome. As more shares are traded, the price of those shares adjusts to reflect the collective sentiment of the market participants. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of shares in this market represents the implied probability of that outcome occurring, and traders aim to profit by accurately predicting the event’s result. The current volume traded is $8,459.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Milton Keynes Dons FC vs. Luton Town FC match, as reported by a recognized sporting news source. Traders will then be able to claim their winnings or losses based on the final outcome. It's important to monitor news sources leading up to the resolution date to stay informed about any potential factors that could influence the result.
Several factors could influence the trading activity and price movement in this market. Any news regarding team injuries, changes in player lineups, or shifts in team form could significantly impact the perceived probabilities. Unexpected weather conditions on match day, or even pre-match statements from managers, could also cause traders to reassess their positions. Major upsets in other related matches, or even broader trends in football performance, might also contribute to shifts in the odds. Monitoring these signals can help you understand potential price fluctuations.