Who's winning, who's getting traded, and which pairs click — across synced Sleeper leagues.
On Winning Teams — players rostered more by teams with winning season records (.600+) than by losing ones (.400 or worse). Lift = the winner-ownership share minus the loser share. Correlation, not causation — read it as "who the winners tend to have." Tap a player for the advanced breakdown.
Most Traded — players moved in completed trades this season: the active buy/sell candidates. Tap a player to see each trade broken down — what went each way (the traded player is bolded), across leagues.
Together — the pairs of players most often rostered on the same fantasy team, with the win rate of the teams that have both. Above 50% means the combo is landing on winning rosters; a small sample (few teams) is noisier.
Aggregated across the synced Sleeper leagues shown above. Each refresh reads rosters and records live from Sleeper, so standings are current — nothing personal is stored, only player-level aggregates.
Winning / losing teams = a roster with a .600+ / .400-or-worse record on the season to date. Most Traded counts completed trades across the season to date. Together counts how often two of the most-owned players sit on the same roster, with the combined record of those teams.
Data updates on demand and is cached for about 30 minutes. Trends publish once at least 25 leagues are in the sample.