Skip to main content

Table 1 Distribution of all professional players divided into quartiles in each sport

From: Relative Age Effects in Male Japanese Professional Athletes: a 25-Year Historical Analysis

  Year Q1 Q2 Q3 Q4 Total χ2 Phi
Soccer 1993 129 (36.5%) 108 (30.6%) 57 (16.1%) 59 (16.7%) 353 47.17* 0.366
[Predicted] 86 89 86 92    
2001 277 (35.9%) 233 (30.0%) 153 (19.8%) 109 (14.1%) 772 79.74* 0.321
[Predicted] 194 203 188 188    
2010 331 (34.7%) 273 (28.6%) 212 (22.2%) 139 (14.6%) 955 78.46* 0.287
[Predicted] 237 251 236 231    
2018 467 (33.1%) 422 (29.9%) 294 (20.9%) 227 (16.1%) 1410 88.55* 0.251
[Predicted] 354 369 350 337    
Baseball 1993 279 (34.7%) 262 (32.6%) 142 (17.7%) 120 (14.9%) 803 105.02* 0.362
[Predicted] 196 203 195 210    
2001 264 (36.1%) 224 (30.6%) 141 (19.3%) 102 (14.0%) 731 80.61* 0.332
[Predicted] 183 192 178 178    
2010 240 (32.8%) 212 (29.0%) 175 (23.9%) 104 (14.2%) 731 51.26* 0.265
[Predicted] 181 192 181 177    
2018 258 (31.0%) 236 (28.4%) 181 (21.8%) 156 (18.8%) 831 25.44* 0.175
[Predicted] 209 218 206 199    
Basketball 2010 48 (30.4%) 44 (27.8%) 35 (22.2%) 31 (19.6%) 158 3.91 0.157
[Predicted] 39 42 39 38    
2018 137 (32.0%) 124 (29.0%) 84 (19.6%) 83 (19.4%) 428 17.65 0.203
[Predicted] 107 112 106 102    
Volleyball 2010 39 (29.3%) 43 (32.3%) 28 (21.1%) 23 (17.3%) 133 6.27 0.217
[Predicted] 33 35 33 32    
2018 141 (28.2%) 123 (24.6%) 130 (26.0%) 106 (21.2%) 500 3.73 0.086
[Predicted] 126 123 124 120    
  1. The number in the second row is the predicted number of players obtained using the chi-squared test. n number of players, χ2 chi-squared value
  2. *p < 0.001
\