Multi-objective optimization of ski jumping flight was carried out, and then the trade-offs between the objective functions could be visualized using Self-Organizing Maps. It was assumed that there are four objective functions and 29 control variables in this case. Three of the four objective functions are concerned with the style point, and the other is the flight distance. It was found that that there is a sweet spot in Pareto-optimal solutions. In the case of the sweet spot, the hip bend angle is almost 50 degrees during the flight.