World Cup: Most Assists

According to the latest prediction market data for the query “World Cup: Most Assists”, traders have formed a strong consensus.

Currently, Michael Olise is dominating the market with an overwhelming 41% chance of winning. Rodrigo De Paul follows in second place at 4.8%, while Bukayo Saka sits in third with 3.3%. The betting volume for this specific market has already reached $143.4K, 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

• Michael Olise (41%): Currently commanding the highest probability, Michael Olise is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 41¢, signaling a high degree of market conviction. This contract alone has generated $44.0K in volume.

🥈 Tier 2: The Primary Challengers

• Rodrigo De Paul (4.8%): Positioned as the most viable alternative, Rodrigo De Paul maintains a 4.8% chance of resolving true. Its “Buy Yes” shares currently trade at 5¢.
• Bukayo Saka (3.3%): Sitting in third place with a 3.3% probability, the market shows measured skepticism toward Bukayo Saka, treating it as an outside wildcard unless momentum shifts.

🥉 Tier 3: The Long-Tail Options (Combining for ~50.9%)

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 Lamine Yamal (3.3%), Bruno Fernandes (2.8%), and Martin Ødegaard (1.7%).
• Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like Mohamed Salah are still attracting notable interest.

This market will resolve to the player who records the most assists through all rounds of the 2026 FIFA World Cup competition.

In the event of a tie, this market will resolve according to the official leader as determined by FIFA World Cup rules. If multiple leaders are announced then this market will resolve to the player who completed more passes during the 2026 FIFA World Cup. If a tie still persists, this market will resolve to the player whose listed last name comes first alphabetically.

If the 2026 FIFA World Cup competition is cancelled, postponed after August 2, 2026, 11:59 PM ET, or there is otherwise no official leader declared within that timeframe, 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 Michael Olise currently trades at 41%, but our AI places its Fair Value at just 24.1%. This creates a large negative EV Gap of -16.9%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies Cédric Bakambu as the premium value opportunity on the board. While the market only assigns it a 0.1% trading probability, our AI’s Fair Value assessment sits at 23.8% — yielding an impressive +23.7% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include Gonzalo Plata (EV Gap: +23.7%) and Mohammed Kudus (EV Gap: +23.7%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.