UFC 331: Alexandre Pantoja vs. Joshua Van (Flyweight, Main Card)

According to the latest prediction market data for the query “UFC 331: Alexandre Pantoja vs. Joshua Van (Flyweight, Main Card)”, traders have formed a strong consensus.

Currently, Fight won by KO/TKO? is dominating the market with an overwhelming 39.5% chance of winning. Ends before Round 3? follows in second place at 37.5%, while Fight to Go the Distance? sits in third with 35.5%. The betting volume for this specific market has already reached $180.2K, 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

• Fight won by KO/TKO? (39.5%): Currently commanding the highest probability, Fight won by KO/TKO? is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 40¢, signaling a high degree of market conviction. This contract alone has generated $132 in volume.

🥈 Tier 2: The Primary Challengers

• Ends before Round 3? (37.5%): Positioned as the most viable alternative, Ends before Round 3? maintains a 37.5% chance of resolving true. Its “Buy Yes” shares currently trade at 38¢.
• Fight to Go the Distance? (35.5%): Sitting in third place with a 35.5% probability, the market shows measured skepticism toward Fight to Go the Distance?, treating it as an outside wildcard unless momentum shifts.

🥉 Tier 3: The Long-Tail Options (Combining for ~0%)

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 Van to win by KO/TKO? (33%), Fight won by submission? (25.5%), and Ends before Round 2? (18.5%).
• Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like Van in Round 2 are still attracting notable interest.

This market will resolve to "Alexandre Pantoja" if Alexandre Pantoja is officially declared the winner of the fight against Joshua Van at UFC 331: Van vs. Pantoja 2, scheduled for September 19, 2026.

It will resolve to "Joshua Van" if Joshua Van is officially declared the winner.

If the fight is declared a draw or technical draw, ruled a No Contest, not scored, canceled, or postponed beyond October 3, 2026, this market will resolve "50-50."

The resolution source for this market will be official information from the UFC.

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 Pantoja in Round 5 currently trades at 5%, but our AI places its Fair Value at just 1%. This creates a large negative EV Gap of -4%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies Fight won by KO/TKO? as the premium value opportunity on the board. While the market only assigns it a 39.5% trading probability, our AI’s Fair Value assessment sits at 47.4% — yielding an impressive +7.9% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include Fight won by submission? (EV Gap: +7.3%) and Van in Round 2 (EV Gap: +5.5%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.