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Select players to analyze the trade
Enter the players you're giving and receiving, then select your stat categories. FanScout calculates z-scores for each player across your chosen categories and sums them — a higher total z-score means the player contributes more above-average production in your league.
A z-score measures how far a player's stats are from the league average, in units of standard deviation. A positive z-score means above-average production. Summing z-scores across all categories gives a single number to compare players fairly.
Compare the total z-score of players you're giving versus receiving. A trade where you receive a higher total z-score benefits your team. Also check category-level breakdowns — a player with a high total z-score might only excel in categories you already have covered.
Yes. Select a punt category to remove it from the analysis. FanScout recalculates z-scores without that stat, showing you who wins the trade in the categories that actually matter for your roster build.
Player stats and z-scores update daily based on current season data. Set the time period to Last Week, Last Month, or Full Season to see how player value changes across different windows.
