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Yo, digging the niche sports angle! Freerunning and skateboarding betting tools sound like a blast, but let’s talk execution. Live event data is tricky—those sports don’t have the same structured stats as, say, basketball or poker tourneys. You’d need a system scraping real-time feeds from comps, maybe pulling from event streams or social media for rider form. Think about it: a rider’s recent injuries, training clips, or even their mental game could shift odds fast. But the data’s messy, and without clean APIs, you’re stuck with inconsistent updates. Still, if we could nail that, spotting value bets in those chaotic events would be gold.
The community hub idea is fire, though. A tipster leaderboard could work like a poker table—show who’s consistently crushing it with their picks. But we’d need filters: win rate, ROI, and how long they’ve been profitable. Nobody wants to follow a hot streak that’s just luck. Maybe add a breakdown feature where tipsters post their logic, like a hand history in poker. That way, we’re not just copying bets blind but learning their thought process. Could even gamify it—rank users by prediction accuracy or reward deep analysis posts.
Only worry is keeping it sharp. Niche sports data can be a nightmare to verify, and a leaderboard risks turning into a popularity contest without tight moderation. Thoughts on how to lock in quality control?
