Table 2 Accuracy of predicting male performance at the international, national, and regional levels using KsA values and other approaches.
From: Special endurance coefficients enable the evaluation of running performance
Dataset | C1 | C2 | C3 | C4 | C5 | C6 | ||
---|---|---|---|---|---|---|---|---|
Area/contries | World | Europe | GBR | GER | BLV1 | SHLV2 | ||
Performance level | international | national | regional | |||||
Number of runners | 9 | 6 | 24 | 77 | 21 | 31 | ||
100m: mean time (s) 400m: mean time (s) | 9.89 | 10.15 | 10.37 | 10.52 | 10.69 | 10.89 | ||
44.36 | 45.40 | 45.54 | 46.38 | 48.27 | 48.37 | Mean ± SD3 | ||
100m → 400m | KsA | − 1.47 | − 1.20 | 0.63 | 0.24 | − 2.13 | − 0.50 | 1.03 ± 0.71 |
Prediction error (%) | VDOT | not applicable for short distances | ||||||
Riegel | not applicable for short distances | |||||||
LOG | not applicable, times for two distances are necessary | |||||||
Number of runners | 42 | 59 | 60 | 100 | 27 | 60 | ||
1500 m: mean time (sec) | 211.17 | 213.74 | 218.28 | 220.32 | 227.80 | 233.52 | ||
3000 m: mean time (sec) | 450.38 | 459.96 | 466.10 | 473.02 | 495.26 | 505.32 | ||
5000 m: mean time (sec) | 775.54 | 791.10 | 805.37 | 815.78 | 858.04 | 881.32 | Mean ± SD | |
1500m → 3000m prediction error (%) | KsA4 | 1.56 | 0.66 | 1.44 | 0.89 | − 0.37 | 0.10 | 0.84 ± 0.58 |
VDOT5 | 1.47 | 0.88 | 1.27 | 0.84 | − 0.66 | − 0.06 | 0.86 ± 0.49 | |
Riegel6 | − 2.53 | − 3.04 | − 2.60 | − 3.18 | − 4.09 | − 4.02 | 3.24 ± 0.68 | |
LOG7 | − 0.73 | − 1.16 | − 0.57 | − 0.90 | − 1.12 | − 0.54 | 0.84 ± 0.27 | |
3000m → 5000m prediction error (%) | KsA | 0.09 | 0.21 | − 0.25 | − 0.06 | − 0.52 | − 1.18 | 0.39 ± 0.42 |
VDOT | − 0.38 | − 0.34 | 1.01 | − 0.82 | 1.00 | 1.22 | 0.80 ± 0.36 | |
Riegel | − 1.62 | − 0.94 | − 0.46 | − 0.67 | − 0.52 | − 0.33 | 0.76 ± 0.47 | |
LOG | − 0.66 | − 0.08 | − 0.73 | − 0.60 | − 0.91 | 1.09 | 0.68 ± 0.34 |