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M25 Santa Margherita Di Pula 2



M25 Santa Margherita Di Pula 2 Men ITF Men - Singles - Italy 2023

ITF Men - Singles M25 Santa Margherita Di Pula 2 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 2 are Paul Inchauspe, Gabriele Piraino, Daniele Minighini, Mathys Erhard. Browse below for the M25 Santa Margherita Di Pula 2 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

11/04/2023 Paul Inchauspe
0 - 2
Stefano Napolitano
11/04/2023 Matias Di Natale Gian
0 - 2
Max Houkes
11/04/2023 Nicolas Martinez Mateo
2 - 0
Mikalai Haliak
11/04/2023 Gabriele Piraino
0 - 2
Goncalo Oliveira
11/04/2023 Daniele Minighini
0 - 2
Mathys Erhard
11/04/2023 Pietro Marino
2 - 1
Andrea Picchione
11/04/2023 Giorgio Tabacco
2 - 0
Luigi Sorrentino
11/04/2023 Gianmarco Ferrari
1 - 0
Enrico Dalla Valle
11/04/2023 Federico Iannaccone
0 - 2
Daniel Michalski
11/04/2023 Timo Stodder
0 - 2
Giovanni Oradini
10/04/2023 Dan Added
2 - 0
J. Alonso
10/04/2023 Kyle Edmund
2 - 0
Lorenzo Lingua Lavallen Alejo
10/04/2023 Alexander Weis
2 - 0
Fabrizio Andaloro
10/04/2023 Remy Bertola
1 - 2
Stefanos Sakellaridis
10/04/2023 Federico Cina
0 - 2
Cristian Jianu Filip
10/04/2023 Andrey Chepelev
2 - 0
Alessandro Ingarao

Trends

Goncalo Oliveira has won 90.91% of sets played in all M25 Santa Margherita Di Pula 2 matches
Goncalo Oliveira has won all 1st sets in the last 5 matches played at M25 Santa Margherita Di Pula 2
Gianmarco Ferrari has won all 1st sets in the last 3 matches played at M25 Santa Margherita Di Pula 2
Kyle Edmund has won all 1st sets in the last 3 matches played at M25 Santa Margherita Di Pula 2

Players – Set Performance

Player NamePerformanceMatchesAverage
Goncalo Oliveira 95 2.20
Daniel Michalski 55 2.20
Giorgio Tabacco 34 2.25
Cristian Jianu Filip 23 2.00
Gianmarco Ferrari 23 2.00
Kyle Edmund 23 2.67
Stefano Napolitano 23 2.00
Alexander Weis 12 2.50
Dan Added 12 2.50
Mathys Erhard 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 Ingarao 21.00 0.00 %
Alexander Weis 25.00 50.00 %
Andrea Picchione 25.00 100.00 %
Andrey Chepelev 21.00 0.00 %
Cristian Jianu Filip 18.67 0.00 %
Dan Added 19.00 50.00 %
Daniel Michalski 21.60 20.00 %
Daniele Minighini 22.00 0.00 %
Enrico Dalla Valle 10.00 0.00 %
Fabrizio Andaloro 19.00 0.00 %
Federico Cina 16.00 0.00 %
Federico Iannaccone 18.00 0.00 %
Gabriele Piraino 15.00 0.00 %
Gianmarco Ferrari 19.67 33.33 %
Giorgio Tabacco 20.75 25.00 %
Giovanni Oradini 16.50 0.00 %
Goncalo Oliveira 17.20 20.00 %
J. Alonso 15.00 0.00 %
Kyle Edmund 26.00 66.67 %
Lorenzo Lingua Lavallen Alejo 20.00 0.00 %
Luigi Sorrentino 19.00 0.00 %
Mathys Erhard 25.50 50.00 %
Matias Di Natale Gian 18.00 0.00 %
Max Houkes 21.00 50.00 %
Mikalai Haliak 17.00 0.00 %
Nicolas Martinez Mateo 18.50 0.00 %
Paul Inchauspe 20.00 0.00 %
Pietro Marino 24.25 75.00 %
Remy Bertola 30.00 100.00 %
Stefano Napolitano 17.33 0.00 %
Stefanos Sakellaridis 22.50 50.00 %
Timo Stodder 16.00 0.00 %
Tournament Avg.   21.56%
Data in above table is calculated from finished matches only.

Clean Sheets

Player Name CS Pld Perc.
Goncalo Oliveira 4 5 80.00%
Daniel Michalski 3 5 60.00%
Cristian Jianu Filip 2 3 66.67%
Gianmarco Ferrari 2 3 66.67%
Giorgio Tabacco 2 4 50.00%
Stefano Napolitano 2 3 66.67%
Alexander Weis 1 2 50.00%
Andrey Chepelev 1 2 50.00%
Dan Added 1 2 50.00%
Giovanni Oradini 1 2 50.00%
Kyle Edmund 1 3 33.33%
Mathys Erhard 1 2 50.00%
Max Houkes 1 2 50.00%
Nicolas Martinez Mateo 1 2 50.00%
Alessandro Ingarao 0 1 0.00%
Andrea Picchione 0 1 0.00%
Daniele Minighini 0 1 0.00%
Enrico Dalla Valle 0 1 0.00%
Fabrizio Andaloro 0 1 0.00%
Federico Cina 0 1 0.00%
Federico Iannaccone 0 1 0.00%
Gabriele Piraino 0 1 0.00%
J. Alonso 0 1 0.00%
Lorenzo Lingua Lavallen Alejo 0 1 0.00%
Luigi Sorrentino 0 1 0.00%
Matias Di Natale Gian 0 1 0.00%
Mikalai Haliak 0 1 0.00%
Paul Inchauspe 0 1 0.00%
Pietro Marino 0 4 0.00%
Remy Bertola 0 1 0.00%
Stefanos Sakellaridis 0 1 0.00%
Timo Stodder 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 Ingarao0 0.00%
Alexander Weis2 60.00%
Andrea Picchione0 33.33%
Andrey Chepelev0 50.00%
Cristian Jianu Filip0 66.67%
Dan Added2 60.00%
Daniel Michalski0 72.73%
Daniele Minighini0 0.00%
Enrico Dalla Valle0 0.00%
Fabrizio Andaloro0 0.00%
Federico Cina0 0.00%
Federico Iannaccone0 0.00%
Gabriele Piraino0 0.00%
Gianmarco Ferrari3 66.67%
Giorgio Tabacco0 66.67%
Giovanni Oradini0 50.00%
Goncalo Oliveira5 90.91%
J. Alonso0 0.00%
Kyle Edmund3 62.50%
Lorenzo Lingua Lavallen Alejo0 0.00%
Luigi Sorrentino0 0.00%
Mathys Erhard0 60.00%
Matias Di Natale Gian0 0.00%
Max Houkes0 60.00%
Mikalai Haliak0 0.00%
Nicolas Martinez Mateo0 50.00%
Paul Inchauspe0 0.00%
Pietro Marino0 54.55%
Remy Bertola1 33.33%
Stefano Napolitano0 66.67%
Stefanos Sakellaridis0 40.00%
Timo Stodder0 0.00%
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 M25 Santa Margherita Di Pula 2 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 2. 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