Table 5. Relative influence
* of the association of match statistics for match wins at the 2017 Australian Open.
Player Group |
Type |
Match Statistic |
Relative Influence |
Junior Boys |
Simple Percentage |
Total Points Won |
66 |
First Serve Points Won |
30 |
Winners vs Unforced Errors |
2 |
Second Serve Point Won |
2 |
Junior Boys |
Clutch Average |
Total Points Won |
87 |
Break Points Won |
10 |
Winners vs Unforced Errors |
2 |
First Serve Points Won |
1 |
Professional Men |
Simple Percentage |
Total Points Won |
100 |
Professional Men |
Clutch Average |
Total Points Won |
68 |
Break Points Won |
16 |
First Serve Points Won |
10 |
Winners vs Unforced Errors |
6 |
Junior Girls |
Simple Percentage |
First Serve Points Won |
85 |
Total Points Won |
15 |
Junior Girls |
Clutch Average |
Total Points Won |
74 |
First Serve Points Won |
26 |
Professional Women |
Simple Percentage |
Total Points Won |
93 |
Winners vs Unforced Errors |
4 |
First Serve Points Won |
3 |
Professional Women |
Clutch Average |
Total Points Won |
88 |
First Serve Points Won |
10 |
Winners vs Unforced Errors |
2 |
* The frequency factor was selected across models in a generalized boosted regression