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M15 Metzingen Men ITF Men - Singles - Germany 2023
ITF Men - Singles M15 Metzingen is a tennis tournament played in Germany. There are 32 players competing in the 2023 Men season. Among the players competing in the M15 Metzingen are Daniel Paty, Aleksandre Metreveli, Florian Broska, Stefan Popovic. Browse below for the M15 Metzingen match results and fixtures, tennis trends or over/under number of games among other various statistics like 1st Set win sequence or set winning averages.
Final
Semi Finals
Quarter Finals
Round 2
Round 1
Trends
 Nicola Kuhn has won 100.00% of sets played in all M15 Metzingen matchesNicola Kuhn has won all 1st sets in the last 5 matches played at M15 Metzingen Luca Tanner Gian has won all 1st sets in the last 3 matches played at M15 Metzingen Kai Lemstra has won all 1st sets in the last 3 matches played at M15 Metzingen
Players – Set Performance
Data in above table is calculated for Set Performance as number of sets won minus number of sets lost along the tournament.
Over/Under
| Matches of... |
Total games score (player + opponent)
|
|
Avg.
| over 22.5 |
|
A. J. Williams
|
27.00
|
100.00
%
|
|
Aleksandre Metreveli
|
17.00
|
50.00
%
|
|
Alexander Donski
|
29.00
|
100.00
%
|
|
Arthur Nagel
|
16.00
|
0.00
%
|
|
Carlos Prado Angelo Juan
|
23.00
|
50.00
%
|
|
Daniel Paty
|
16.00
|
20.00
%
|
|
Daniel Salazar
|
28.00
|
100.00
%
|
|
David Fix
|
15.00
|
0.00
%
|
|
Dominik Boehler
|
16.00
|
0.00
%
|
|
Dominik Kellovsky
|
22.50
|
50.00
%
|
|
Florian Broska
|
28.00
|
100.00
%
|
|
Giuseppe La Vela
|
24.50
|
50.00
%
|
|
John Sperle
|
28.00
|
100.00
%
|
|
Kai Lemstra
|
19.67
|
33.33
%
|
|
L. Poertner
|
21.00
|
0.00
%
|
|
Leon Schmidt
|
23.50
|
50.00
%
|
|
Leopold Zima
|
27.00
|
100.00
%
|
|
Liam Gavrielides
|
21.75
|
25.00
%
|
|
Luca Tanner Gian
|
21.33
|
33.33
%
|
|
M. Hoffmann
|
17.00
|
0.00
%
|
|
Maarten Jong Alexander
|
25.25
|
75.00
%
|
|
Mariano Dedura-Palomero
|
16.00
|
0.00
%
|
|
Matthew Dellavedova
|
20.00
|
0.00
%
|
|
Nicola Kuhn
|
18.60
|
0.00
%
|
|
P. Leithold
|
31.00
|
100.00
%
|
|
Philip Florig
|
19.67
|
33.33
%
|
|
Rostislav Galfinger
|
30.00
|
100.00
%
|
|
Stefan Popovic
|
25.67
|
66.67
%
|
|
Stefanos Sakellaridis
|
18.00
|
0.00
%
|
|
Taym Al Azmeh
|
23.50
|
50.00
%
|
|
Tom Gentzsch
|
18.00
|
0.00
%
|
|
Yannik Kelm
|
27.50
|
100.00
%
|
|
Tournament Avg.
| |
46.46%
|
Data in above table is calculated from finished matches only.
Clean Sheets
| Player Name |
CS
|
Pld
|
Perc.
|
| Nicola Kuhn |
5
|
5
|
100.00%
|
| Daniel Paty |
3
|
5
|
60.00%
|
| Kai Lemstra |
2
|
3
|
66.67%
|
| Liam Gavrielides |
2
|
4
|
50.00%
|
| Luca Tanner Gian |
2
|
3
|
66.67%
|
| Philip Florig |
2
|
3
|
66.67%
|
| Arthur Nagel |
1
|
2
|
50.00%
|
| Giuseppe La Vela |
1
|
2
|
50.00%
|
| A. J. Williams |
0
|
1
|
0.00%
|
| Aleksandre Metreveli |
0
|
2
|
0.00%
|
| Alexander Donski |
0
|
1
|
0.00%
|
| Carlos Prado Angelo Juan |
0
|
1
|
0.00%
|
| Daniel Salazar |
0
|
1
|
0.00%
|
| David Fix |
0
|
1
|
0.00%
|
| Dominik Boehler |
0
|
1
|
0.00%
|
| Dominik Kellovsky |
0
|
1
|
0.00%
|
| Florian Broska |
0
|
1
|
0.00%
|
| John Sperle |
0
|
1
|
0.00%
|
| L. Poertner |
0
|
1
|
0.00%
|
| Leon Schmidt |
0
|
2
|
0.00%
|
| Leopold Zima |
0
|
1
|
0.00%
|
| M. Hoffmann |
0
|
1
|
0.00%
|
| Maarten Jong Alexander |
0
|
4
|
0.00%
|
| Mariano Dedura-Palomero |
0
|
1
|
0.00%
|
| Matthew Dellavedova |
0
|
1
|
0.00%
|
| P. Leithold |
0
|
1
|
0.00%
|
| Rostislav Galfinger |
0
|
1
|
0.00%
|
| Stefan Popovic |
0
|
3
|
0.00%
|
| Stefanos Sakellaridis |
0
|
1
|
0.00%
|
| Taym Al Azmeh |
0
|
1
|
0.00%
|
| Tom Gentzsch |
0
|
1
|
0.00%
|
| Yannik Kelm |
0
|
2
|
0.00%
|
Data in above table lists the number of clean sheets (matches with no lost sets) out of total matches played by each player in this tournament. All finished and retired matches are counted towards these statistics.
Form – Win Sequences
| Player Name | Win 1st Set | Set Win% |
| A. J. Williams | 0 |
33.33%
|
| Aleksandre Metreveli | 1 |
66.67%
|
| Alexander Donski | 1 |
33.33%
|
| Arthur Nagel | 0 |
50.00%
|
| Carlos Prado Angelo Juan | 0 |
40.00%
|
| Daniel Paty | 0 |
66.67%
|
| Daniel Salazar | 1 |
33.33%
|
| David Fix | 0 |
0.00%
|
| Dominik Boehler | 0 |
0.00%
|
| Dominik Kellovsky | 0 |
40.00%
|
| Florian Broska | 1 |
33.33%
|
| Giuseppe La Vela | 0 |
60.00%
|
| John Sperle | 0 |
33.33%
|
| Kai Lemstra | 3 |
71.43%
|
| L. Poertner | 0 |
0.00%
|
| Leon Schmidt | 0 |
40.00%
|
| Leopold Zima | 0 |
33.33%
|
| Liam Gavrielides | 0 |
66.67%
|
| Luca Tanner Gian | 3 |
71.43%
|
| M. Hoffmann | 0 |
0.00%
|
| Maarten Jong Alexander | 0 |
54.55%
|
| Mariano Dedura-Palomero | 0 |
0.00%
|
| Matthew Dellavedova | 0 |
0.00%
|
| Nicola Kuhn | 5 |
100.00%
|
| P. Leithold | 1 |
33.33%
|
| Philip Florig | 0 |
71.43%
|
| Rostislav Galfinger | 0 |
33.33%
|
| Stefan Popovic | 0 |
50.00%
|
| Stefanos Sakellaridis | 0 |
0.00%
|
| Taym Al Azmeh | 0 |
40.00%
|
| Tom Gentzsch | 0 |
0.00%
|
| Yannik Kelm | 0 |
50.00%
|
Data in above table lists consecutive 1st Set wins by each player. When 1st Set is lost, data is reset. Set Win percentage shows the winning percentage out of total sets played by each player in this tournament. All finished and retired matches are counted towards these statistics.
The statistics for the tennis tournament M15 Metzingen are updated regularly, as games are played and results are processed. Data shown in these statistics is organized to make it easy to identify tournament trends and probabilities for future tennis games, something that TennisStats247 system uses to calculate the predictions for ITF Men - Singles M15 Metzingen. The Predictions section comes with updated daily tips as our algorithm calculates probabilities for various outcomes in tennis games and it improves as more tennis statistics are available from matches played.
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