TABLE 2.
Relationships between selected variables and match outcomes among elite German soccer players.
Parameters | Close games (≤1) |
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F | WM | CM | FB | CD | |
Total distance covered (increase by 0.1 km) | 55.94 | +* | |||
Distance covered below 11 km/h (increase by 0.1 km) | +* | +* | |||
Distance covered below 14.4 km/h (increase by 0.1 km) | +* | ||||
Distance covered at 14–17 km/h (increase by 1 %) | 8.81 | ||||
Distance covered at speeds >24 km/h (increase by 0.1 km) | 60.71 | ||||
Distance covered at speeds >24 km/h (increase by 1 %) | 7.99 | ||||
Distance covered at speeds >24 km/h - seasons (increase by 1%) | 4.08 | ||||
Number of sprints (unit increase) | 1.41 | ||||
Mean running speed (increase by 0.1 km/h) | –* | ||||
Total number of shots (unit increase) | 11.44 | ||||
Total number of shots - seasons (unit increase) | 2.72 | ||||
Number of passes (unit increase) | 0.41 | –0.41 | |||
Number of crosses (unit increase) | –0.54 | –9.16 | –0.28 | ||
Number of one-on-one plays (unit increase) | 0.88 | ||||
Playing at home | 51.75 | 41.99 | 91.34 | 49.34 | 59.93 |
Results marked with an asterisk (“∗”) were identified by visual inspection as unreliable in terms of values for the coefficient. These results have a very large confidence interval. This means that even though the model selected the variable as a contributor to the match outcome, more-precise estimate cannot be attained, but it can merely point out the direction of the variable’s effect as helpful (positive) or harmful (negative) for the match outcome.