Lman

I think most people underestimate how primitive sports data still is. We track what happened. Who landed more. Who scored. Who won. But we still don’t really understand the mechanics underneath it in any consistent way. That’s what makes @FX1Sports so interesting to me. If MotionAI works the way they are describing it here, it isn’t just another layer of stats. It’s an attempt to model the interaction between movement, fatigue, environment and decision making in real time. That’s a completely different level of insight. In combat sports especially, the data layer is almost non-existent. We talk about output and control time as if that tells the whole story, but anyone who actually watches fights knows there’s far more going on. Energy trade-offs. Efficiency. Power drop-off. Micro adjustments. Pressure. All the things that change momentum before the judges ever see it on a scorecard. If you can start to quantify those properly, you’re not just making better graphics for broadcasts. You’re creating a new framework for understanding performance. The athlete-owned data piece is also bigger than people realise. Internal metrics paired with motion intelligence changes who benefits from the value created. Historically, data gets extracted. If athletes are able to participate in that layer economically, that’s a meaningful shift. This is not a short-term narrative. It’s not flashy. It’s not designed for instant engagement. It’s infrastructure. And infrastructure takes time. When I talk about backing real builders instead of feeding the casino, this is the sort of thing I mean. Whether the market ever prices that properly is out of my hands. It hasn’t yet. But I’d rather be early to something meaningful than late to something loud.