World Cup: England Stage of Elimination

According to the latest prediction market data for the query “World Cup: England Stage of Elimination”, traders have formed a strong consensus.

Currently, Round of 16 is dominating the market with an overwhelming 27.5% chance of winning. Quarterfinals follows in second place at 27.5%, while Semifinals sits in third with 14%. The betting volume for this specific market has already reached $65.9K, reflecting intense industry interest.

To better assess where each potential outcome stands, the market can be segmented into three distinct trading tiers based on implied probability and contract pricing:

🥇 Tier 1: The Dominant Leader

• Round of 16 (27.5%): Currently commanding the highest probability, Round of 16 is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 28¢, signaling a high degree of market conviction. This contract alone has generated $7.8K in volume.

🥈 Tier 2: The Primary Challengers

• Quarterfinals (27.5%): Positioned as the most viable alternative, Quarterfinals maintains a 27.5% chance of resolving true. Its “Buy Yes” shares currently trade at 28¢.
• Semifinals (14%): Sitting in third place with a 14% probability, the market shows measured skepticism toward Semifinals, treating it as an outside wildcard unless momentum shifts.

🥉 Tier 3: The Long-Tail Options (Combining for ~31%)

Beyond the top three choices, a wide field of macro variables and long-shot outcomes are being tracked. While their individual probabilities hover low, they represent crucial hedges for speculative traders:

• Alternative Options: This includes Round of 32 (11.5%), Final (11%), and Champion (10.5%).
• Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like Round of 32 are still attracting notable interest.

This market will resolve according to the stage of the 2026 FIFA World Cup at which England is eliminated. If England wins the tournament, this market will resolve to 'Champion'.

If England is disqualified, withdraws, is removed from the tournament, or the tournament is partially completed and not finished for any reason, this market will resolve according to the furthest completed round reached by England based on the best available official information.

If the 2026 FIFA World Cup is cancelled in full, postponed after August 2, 2026, 11:59 PM ET, this market will resolve to 'Other'.

The resolution source for this market will be official information from FIFA; however, a consensus of credible reporting may also be used.

While human consensus and speculative volume shape the broader prediction market, our quantitative algorithms offer a data-driven counter-perspective. By analyzing fundamental signals, underlying trends and historical distributions, our AI Valuation model calculates an independent “Fair Value” probability for each outcome.

Comparing this Fair Value against the current Trade Value uncovers major disparities — known as the Expected Value (EV) Gap. Contracts with a positive EV Gap represent statistically underpriced outcomes, whereas a negative EV Gap flags a potential market overreaction.

Top AI Alpha & Mispriced Arbitrage Opportunities

Based on the latest data model run, several key contracts stand out with significant deviations:

• The Most Overvalued Outcome Round of 16 currently trades at 27.5%, but our AI places its Fair Value at just 19.1%. This creates a large negative EV Gap of -8.4%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies Quarterfinals as the premium value opportunity on the board. While the market only assigns it a 27.5% trading probability, our AI’s Fair Value assessment sits at 30.6% — yielding an impressive +3.1% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include Final (EV Gap: +1.2%) and Semifinals (EV Gap: +1.1%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.