This study was conducted to clarify the relationship between race pattern and performance in the men's 400-m race. Using several video cameras, 154 male 400-m sprinters (45-46 s: 26, 47 s: 35, 48 s: 58, 49 s: 35) in official competitions were videotaped at a sampling rate of 59.94 Hz from the start to the finish. The split time at every 50 m from the start was calculated using the Overlay method, which analyzes the split time by superimposing an image of the 400-m race onto an image of the hurdles in a 400-m hurdle race. Each segment was defined as follows: First segment, from the start to the 100-m mark; 2^nd segment, from the 100-m mark to the 200-m mark; 3^rd segment, from the 200-m mark to the 300-m mark; 4^th segment, from the 300-m mark to the finish. The results of regression analysis revealed significant correlations between the 400-m race time and the all of the segment times (r=0.589-0.887, p<0.001), the ratio of the time for the 3^rd segment (r=0.290, p<0.001) to that of the 4^th segment (r=0.218, p<0.01), the rate of change in running speed from the 1^st to the 2^nd segments (r=−0.317, p<0.001), and that from the 2^nd to the 3^rd segments (r=−0.271, p<0.01). However, the relationship between the 400-m race time and the deceleration index (the slope of the linear relationship between running speed and the number of segments from the peak running speed to the finish) was not significant (r=0.154, p=0.056). These results suggest that it is important to maintain running speed in the 2^nd and 3^rd 100-m segments to achieve high performance in the 400-m sprint.