Purpose: Analyze the ranking relation, player’s age, total matches played, and winning rates between ITF (International Tennis Federation) and ATP (Association of Tennis Professionals) players. Methods: 4,488 players with both ITF rankings and ATP rankings on the ITF website, and were analyzed to show the relations between ITF and ATP rankings. One-way ANOVA was employed to explore the average age of best ITF rankings and the differences between total games played and winning rate among ATP top 100 players. Results: 1. The probability of ITF top 10 players becoming ATP top 100 players was 31.75%. 2. The average age of ATP top 20 players who obtained best ITF rankings (age 17.66) was significantly lower than ATP top 51 to 100 players (age 17.94). 3. It required 70% winning rate and 106 games played in ITF; 60% winning rate and 650 games played in ATP to become top 100 players. Conclusion: The younger the players attained the best rankings; the more possible they obtained best ATP rankings. In addition, the rankings of ITF and ATP rose with winning rate. The rankings also went up with more games played after players entered the main draw.