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Enter your roster and use our Team Analysis
to view categorical strengths and weaknesses, based on previous seasons' data. Join today and view z-scores for all of your league's teams, based on our projections.
Get an accurate review of potential transactions with our Trade Analysis
, based on previous seasons' data. Z-scores don't lie! Join today and our projections can be your guide.
What are z-scores? Z-scores tell us how far above or below average a player's contributions rate in a scoring category. The average for any stat is the average produced by the top players in your league. Example: for leagues with 12 teams and 13 hitter spots, the top players group is 156 players (12*13). Values are expressed in standard deviations, with the positive or negative value growing larger as the player's average moves farther away from the group average. Example: if 18 HR is the group average, then Miguel Cabrera will have a large positive (+2.07), Elvis Andrus will have a large negative (-1.52), and Brandon Phillips will be close to average (+0.05). A player's overall impact is measured by the whole of his positive and negative contributions in all of your league's scoring categories.
Why use z-scores? They precisely measure and express a player's true impact. Opinions are subjective, the numbers are not. Z-scores don't lie!