When Damien Dau talks about combat sports data, he is describing an infrastructure problem that has existed for decades. Boxing, MMA, and related disciplines have attracted large global audiences, but the underlying data layer — the kind that powers live betting markets and predictive pricing — has never caught up with the demand sitting on top of it.
FX1, the AI and sports data company Dau founded, has now announced a partnership with sports intelligence firm Twenty First Group to address exactly that. The initial product focuses on boxing, building both pre-fight and live in-play markets for sportsbooks and prediction market platforms. MMA and other combat sports follow later.
The technical foundation matters here. FX1's database holds records on more than one million fights and half a million fighters. Its MotionAI system uses video analysis to convert fighter movement into real-time data, which becomes predictive input during live competition. Twenty First Group brings pricing and line-making expertise — the translation layer between raw data and a market that clears. Will Stephenson, Twenty First Group's chief betting officer, described the category as carrying significant untapped potential while acknowledging that fragmented data has constrained what operators can actually offer.
I've seen this before in less obvious markets: an asset class with genuine interest sitting behind a pricing infrastructure that wasn't built to handle it. The problem isn't demand. The problem is that bad data produces wide spreads, wide spreads push out retail participation, and thin liquidity makes manipulation easier. Combat sports have been caught in that loop for a long time.
The consensus view on this partnership will land somewhere around "interesting niche product." I think that misses what's actually happening. The prediction market category is under regulatory pressure from multiple directions simultaneously — the CFTC, state attorneys general, tribal compacts. Platforms are looking for product categories that carry lower political exposure than election or sports-outcome contracts. A data partnership that enables live boxing markets sits in a different regulatory conversation than a contract on who wins the midterms. Combat sports is not a distraction from the main event. It is a diversification play made during a period when the main event is under scrutiny.
Whether this reaches the scale both companies are projecting depends on one constraint neither press release addresses: market liquidity. A technically sophisticated pricing engine producing boxing markets that nobody trades is a demonstration project. The question a market would eventually resolve on is whether FX1 and Twenty First Group can deliver enough volume to make those markets self-sustaining — tight enough that operators keep them listed, liquid enough that data quality gets tested under real conditions.
FX1's MotionAI system uses video analysis to convert fighter movement into real-time data during live competition. The system draws from FX1's database of more than one million fights and half a million fighters to generate predictive input as matches unfold. This technical foundation allows sportsbooks and prediction market platforms to price live in-play markets with data that updates dynamically rather than relying on static pre-fight information.
Boxing, MMA, and related combat disciplines have attracted large global audiences for decades, but the underlying data layer powering live betting markets and predictive pricing never developed to match that demand. Will Stephenson, Twenty First Group's chief betting officer, described the category as carrying significant untapped potential while acknowledging that fragmented data has constrained what operators can actually offer. The infrastructure gap created an asset class with genuine interest sitting behind a pricing infrastructure that was not built to handle it.
The prediction market category faces regulatory pressure from the CFTC, state attorneys general, and tribal compacts simultaneously. Combat sports live boxing markets sit in a different regulatory conversation than contracts on election outcomes or general sports results, carrying lower political exposure for platforms under scrutiny. This positions combat sports as a diversification play for prediction market operators during a period when their main product categories face heightened regulatory attention.
The critical constraint is whether FX1 and Twenty First Group can deliver enough trading volume to make boxing markets self-sustaining. A technically sophisticated pricing engine producing boxing markets that nobody trades functions only as a demonstration project. Market resolution depends on liquidity becoming tight enough that operators keep markets listed and deep enough that data quality gets tested under genuine competitive conditions.