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M25 Santa Margherita Di Pula 3



M25 Santa Margherita Di Pula 3 Men ITF Men - Singles - Italy 2023

ITF Men - Singles M25 Santa Margherita Di Pula 3 is a tennis tournament played in Italy. There are 32 players competing in the 2023 Men season. Among the players competing in the M25 Santa Margherita Di Pula 3 are Leonardo Rossi, Lukas Neumayer, Julian Ocleppo, Niccolo Baroni. Browse below for the M25 Santa Margherita Di Pula 3 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

18/04/2023 Mario Gonzalez Fernandez
0 - 2
Goncalo Oliveira
18/04/2023 Jakub Wojcik
0 - 2
Alexander Weis
18/04/2023 Fausto Tabacco
2 - 1
Andrea Gola
18/04/2023 J. Alonso
0 - 2
Alexander Orlov
18/04/2023 Mikalai Haliak
2 - 1
Niccolo Ciavarella
18/04/2023 Giorgio Tabacco
2 - 0
Alessandro Bellifemine
18/04/2023 Samuele Pieri
0 - 2
Lorenzo Rottoli
18/04/2023 Niccolo Baroni
2 - 0
Lorenzo Lorusso
18/04/2023 Kai Wehnelt
2 - 0
Nicolas Martinez Mateo
17/04/2023 Lukas Neumayer
0 - 2
Tommaso Compagnucci
17/04/2023 Lorenzo Lingua Lavallen Alejo
2 - 0
Stefanos Sakellaridis
17/04/2023 Federico Iannaccone
2 - 0
Arnaud Bailly Gilles
17/04/2023 Mick Veldheer
0 - 2
Giovanni Oradini
17/04/2023 Mathys Erhard
2 - 0
Daniel Bagnolini
17/04/2023 Leonardo Rossi
0 - 2
Julian Ocleppo
17/04/2023 Pietro Pampanin
0 - 2
Luigi Sorrentino

Trends

Goncalo Oliveira has won 100.00% of sets played in all M25 Santa Margherita Di Pula 3 matches
Julian Ocleppo has won 80.00% of sets played in all M25 Santa Margherita Di Pula 3 matches
Mathys Erhard has won all 1st sets in the last 4 matches played at M25 Santa Margherita Di Pula 3
Alexander Weis has won all 1st sets in the last 4 matches played at M25 Santa Margherita Di Pula 3

Players – Set Performance

Player NamePerformanceMatchesAverage
Julian Ocleppo 65 2.00
Mathys Erhard 54 2.25
Alexander Weis 44 2.50
Goncalo Oliveira 43 1.33
Kai Wehnelt 33 2.33
Tommaso Compagnucci 35 2.60
Lorenzo Lingua Lavallen Alejo 23 2.67
Lorenzo Rottoli 23 2.00
Giorgio Tabacco 12 2.50
Giovanni Oradini 12 2.50
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
Alessandro Bellifemine 19.00 0.00 %
Alexander Orlov 18.00 0.00 %
Alexander Weis 25.75 50.00 %
Andrea Gola 25.00 100.00 %
Arnaud Bailly Gilles 23.00 100.00 %
Daniel Bagnolini 16.00 0.00 %
Fausto Tabacco 27.00 100.00 %
Federico Iannaccone 23.00 100.00 %
Giorgio Tabacco 24.00 50.00 %
Giovanni Oradini 25.00 50.00 %
Goncalo Oliveira 15.00 0.00 %
J. Alonso 18.00 0.00 %
Jakub Wojcik 20.00 0.00 %
Julian Ocleppo 20.40 40.00 %
Kai Wehnelt 23.67 66.67 %
Leonardo Rossi 17.00 0.00 %
Lorenzo Lingua Lavallen Alejo 26.33 66.67 %
Lorenzo Lorusso 15.00 0.00 %
Lorenzo Rottoli 17.33 0.00 %
Luigi Sorrentino 18.50 0.00 %
Lukas Neumayer 18.00 0.00 %
Mario Gonzalez Fernandez 17.00 0.00 %
Mathys Erhard 20.00 25.00 %
Mick Veldheer 18.00 0.00 %
Mikalai Haliak 23.50 50.00 %
Niccolo Baroni 18.00 0.00 %
Niccolo Ciavarella 28.00 100.00 %
Nicolas Martinez Mateo 18.00 0.00 %
Pietro Pampanin 19.00 0.00 %
Samuele Pieri 18.00 0.00 %
Stefanos Sakellaridis 17.00 0.00 %
Tommaso Compagnucci 24.40 60.00 %
Tournament Avg.   29.95%
Data in above table is calculated from finished matches only.

Clean Sheets

Player Name CS Pld Perc.
Julian Ocleppo 3 5 60.00%
Mathys Erhard 3 4 75.00%
Alexander Weis 2 4 50.00%
Goncalo Oliveira 2 3 66.67%
Kai Wehnelt 2 3 66.67%
Lorenzo Rottoli 2 3 66.67%
Alexander Orlov 1 2 50.00%
Federico Iannaccone 1 2 50.00%
Giorgio Tabacco 1 2 50.00%
Giovanni Oradini 1 2 50.00%
Lorenzo Lingua Lavallen Alejo 1 3 33.33%
Luigi Sorrentino 1 2 50.00%
Niccolo Baroni 1 2 50.00%
Tommaso Compagnucci 1 5 20.00%
Alessandro Bellifemine 0 1 0.00%
Andrea Gola 0 1 0.00%
Arnaud Bailly Gilles 0 1 0.00%
Daniel Bagnolini 0 1 0.00%
Fausto Tabacco 0 2 0.00%
J. Alonso 0 1 0.00%
Jakub Wojcik 0 1 0.00%
Leonardo Rossi 0 1 0.00%
Lorenzo Lorusso 0 1 0.00%
Lukas Neumayer 0 1 0.00%
Mario Gonzalez Fernandez 0 1 0.00%
Mick Veldheer 0 1 0.00%
Mikalai Haliak 0 2 0.00%
Niccolo Ciavarella 0 1 0.00%
Nicolas Martinez Mateo 0 1 0.00%
Pietro Pampanin 0 1 0.00%
Samuele Pieri 0 1 0.00%
Stefanos Sakellaridis 0 1 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 NameWin 1st SetSet Win%
Alessandro Bellifemine0 0.00%
Alexander Orlov0 50.00%
Alexander Weis4 70.00%
Andrea Gola0 33.33%
Arnaud Bailly Gilles0 0.00%
Daniel Bagnolini0 0.00%
Fausto Tabacco2 50.00%
Federico Iannaccone0 50.00%
Giorgio Tabacco2 60.00%
Giovanni Oradini0 60.00%
Goncalo Oliveira2 100.00%
J. Alonso0 0.00%
Jakub Wojcik0 0.00%
Julian Ocleppo1 80.00%
Kai Wehnelt0 71.43%
Leonardo Rossi0 0.00%
Lorenzo Lingua Lavallen Alejo0 62.50%
Lorenzo Lorusso0 0.00%
Lorenzo Rottoli0 66.67%
Luigi Sorrentino0 50.00%
Lukas Neumayer0 0.00%
Mario Gonzalez Fernandez0 0.00%
Mathys Erhard4 77.78%
Mick Veldheer0 0.00%
Mikalai Haliak0 40.00%
Niccolo Baroni0 50.00%
Niccolo Ciavarella0 33.33%
Nicolas Martinez Mateo0 0.00%
Pietro Pampanin0 0.00%
Samuele Pieri0 0.00%
Stefanos Sakellaridis0 0.00%
Tommaso Compagnucci0 61.54%
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 M25 Santa Margherita Di Pula 3 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 M25 Santa Margherita Di Pula 3. 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.

Seasons