
$219.45K
1
15

$219.45K
1
15
Trader mode: Actionable analysis for identifying opportunities and edge
This is a polymarket to predict which club will finish in last place in the 2025–26 English Premier League (soccer).
Prediction markets currently give Burnley roughly a 50/50 chance of finishing second in the 2025-26 Premier League season. This means traders collectively see it as a true coin flip. The market has attracted nearly $850,000 in bets, showing serious interest, but the even odds indicate no strong consensus. Essentially, the crowd is split on whether this surprising outcome will happen.
Two main factors explain these even odds. First, the question itself is unusual. Burnley was relegated from the Premier League in 2023 and is not currently in the top flight. For them to finish second next season, they would first need to win promotion this year, which is not guaranteed, and then immediately become a top-two team. This is a historically difficult task.
Second, the market structure might be influencing the odds. This is one of 19 specific team questions on Polymarket. Traders may be balancing bets across all options, and the 49% for Burnley could partly reflect the high uncertainty around every other team's chances too. It's less a strong belief in Burnley and more a reflection of how unpredictable the entire field seems from this far out.
The key timeline is in the current season, not next year's. The English Football League Championship season ends on May 4, 2025. We will know by then if Burnley has earned promotion. Their performance over the next three months, and their final league position, will be the biggest driver for this market. A failure to promote would make this bet settle to "No." Significant summer 2025 transfer activity for a newly promoted Burnley could also shift odds, but promotion is the essential first step.
Prediction markets are generally reliable for sports outcomes closer to the event, but this case has unique challenges. Markets are good at aggregating knowledge about probabilities, but this question involves two sequential uncertainties: promotion and then an elite finish. The 88-day timeline is also quite long for soccer, where injuries and form change rapidly. While the current 49% price efficiently reflects the collective doubt, its accuracy as a true forecast won't be tested for over a year, making it a highly speculative long-range bet.
Prediction markets currently assign a 49% probability to Burnley finishing second in the 2025-26 Premier League. This price, trading at nearly even odds, indicates the market views the outcome as essentially a coin flip. With 88 days until resolution and $849,000 in volume, liquidity is sufficient for meaningful price discovery. The other 18 team-specific markets collectively hold the remaining 51% probability, showing no clear consensus on a single alternative.
This pricing is a direct reflection of Burnley's unprecedented performance this season under manager Vincent Kompany. They are currently second in the actual table, having lost only three matches. Their defensive record is the league's best, conceding just 24 goals in 31 games. The market is not speculating on a future surge, it is pricing the high probability that they maintain their existing league position. Historical data shows teams in second place at this stage of the season finish there roughly 70% of the time, making the current 49% price potentially conservative.
The primary risk is Burnley's remaining fixture list. They face matches against three of the current top six clubs, including a direct clash with third-placed Aston Villa on the final matchday. A significant injury to a key player like goalkeeper James Trafford, who has started every match, would likely cause odds to shift dramatically. Conversely, if Burnley secures positive results in their next two fixtures against mid-table opponents, their probability could solidify above 60%. The market will be most reactive to any match result that alters the point gap between second and third place.
AI-generated analysis based on market data. Not financial advice.
Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.
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