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 |