Stavenson (0xf5fe759cece500f58a431ef8dacea321f6e3e23d) turned $11.5K into $114.5K in pure profit — a 673% ROI — by doing the opposite of what Polymarket whales usually do: he picked tennis and motorsports instead of chasing election hype like every other degen. Stavenson is rank 949 on Polymarket with 89.6% win rate across 217 total trades. Trader type screams whale, but this isn't your typical size-stack gambler. He's hitting 2.5 trades per day, staying surgical with $420 average entry, and mastering niche prediction markets most retail dares touch. His best single trade netted $38.1K on Dubai Duty Free Tennis Championships, Qualification: Tereza Valentova vs Kimberly Birrell, proving he found real edges where crowd noise dies. The edge is absurdly clean: while Polymarket traders pile into US politics and Fed predictions, Stavenson farms obscure tennis qualifiers and F1 driver props. Lower liquidity, fewer tourists, better information asymmetry. His buy-sell ratio of 5.16 shows he's not panic dumping — he builds positions on what he knows. Low risk profile despite whale status means he sizes correctly and stops bleeding before it matters. He's closed 214 positions and only had max single loss of $1.9K. That's discipline. Now here's the weird part: his worst trade wasn't even brutal. Abu Dhabi Grand Prix driver pole position bet cost him barely $2K. That's not the Polymarket whale signature move of dumping $50K on a meme. His current portfolio sits at $9.5K with 3 open positions, but he's already withdrawn $79.5K lifetime. He's not reinvesting hype. He takes profits and walks. Real talk though: niche sports prediction markets work until they don't. Stavenson's win rate is elite, but tennis qualifiers and F1 grids have smaller liquidity pools — trying to exit a $100K position on Valentova vs Birrell probably isn't smooth. His 209 markets traded shows he's diversified against that exact risk. Not everyone survives the edge once the money gets real. But so far, he's the contrarian's contrarian.