gmpm made $859k on a single sports bet while sitting at #19 globally with a 4.36% ROI across 51 trades. Name: gmpm | Rank #19 | Whale tier Strategy: concentrated bets across 783 markets, mostly sports, playing directional conviction on single events rather than hedging portfolios. The wallet tells a story of feast-or-famine execution. $3.57M PnL on $82.1M volume (4.36% ROI) lands solid but not exceptional for someone trading that much capital. Win rate sits at 47.6% — basically coin-flip odds — yet the profit margin suggests gmpm's edge isn't timing entries. It's position sizing. Best trade hit $859,922 on the Seahawks vs. Patriots matchup. Worst trade dropped -$80,639 on Pacers vs. Knicks. That 10.6x win-to-loss ratio is the real number here — they're not winning more often, they're winning bigger when they're right. Medium risk profile masks an asymmetric game. Average trade size of $12,621 across 51 total trades reveals selective deployment — this isn't high-frequency scalping. The 13.3x buy-to-sell ratio signals strong conviction directionally; gmpm builds positions rather than flipping. Trading 783 different markets (mostly sports) suggests either strong domain knowledge across multiple sports or a systematic scanner picking liquid opportunities. Either way, chasing volume across categories dilutes any single edge. Current state: one open position remains, $28.7k portfolio value, averaging 12.2 trades per day over the sample period. The gap between peak single-win ($859k) and current holdings ($28.7k) suggests either recent drawdown, withdrawal, or pure reinvestment aggression. Medium risk rating is generous given the concentration bets — this is a player comfortable holding five or six figure positions on binary outcomes, and it shows. The skeptic's take: 47.6% win rate needs actual edge documentation. High average entry prices (0.525) imply buying consensus favorites — could be signal or could be survivorship bias showing only the profitable favorites.