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M25 Oviedo



M25 Oviedo Men ITF Men - Singles - Spain 2023

ITF Men - Singles M25 Oviedo is a tennis tournament played in Spain. There are 32 players competing in the 2023 Men season. Among the players competing in the M25 Oviedo are Augusto Barreto Sanchez Diego, Emanuel Ambrogi Luciano, Alejo Sanchez Quilez, Imanol Lopez Morillo. Browse below for the M25 Oviedo 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

30/08/2023 Emanuel Ambrogi Luciano
2 - 0
Gonzalo Lama
30/08/2023 Julio Cesar Porras
1 - 2
Alejandro Juan Mano
30/08/2023 Dali Blanch
2 - 1
Louis Dussin
30/08/2023 Ryan Nijboer
1 - 1
A. Pedrico Kravtsov
30/08/2023 Ivan Marrero Curbelo
1 - 2
Augusto Barreto Sanchez Diego
30/08/2023 Marco Moroni Gian
2 - 0
Noah Regas Luis
30/08/2023 Giacomo Revelli
2 - 0
I. Perez
30/08/2023 Carlos Lopez Montagud
2 - 0
Jaime Caldes
30/08/2023 Kane Bonsach Ganley
2 - 0
Vilius Gaubas
30/08/2023 Xavi Matas Ortega
0 - 1
Tomas Curras Abasolo
30/08/2023 Carlos Gimeno Valero
2 - 0
I. Maksymchuk
30/08/2023 Alvaro Lopez San Martin
0 - 0
Sergio Callejon Hernando
30/08/2023 Benjamin Winter Lopez
0 - 1
Alejo Sanchez Quilez
30/08/2023 Jose Gutierrez Oscar
0 - 2
Facundo Mena
30/08/2023 Bruno Pujol Navarro
0 - 2
Michiel De Krom
30/08/2023 Max Alcala Gurri
0 - 2
Imanol Lopez Morillo

Trends

Imanol Lopez Morillo has won 100.00% of sets played in all M25 Oviedo matches
Carlos Lopez Montagud has won 90.91% of sets played in all M25 Oviedo matches
Carlos Lopez Montagud has won all 1st sets in the last 5 matches played at M25 Oviedo
Alejandro Juan Mano has won all 1st sets in the last 3 matches played at M25 Oviedo

Players – Set Performance

Player NamePerformanceMatchesAverage
Carlos Lopez Montagud 95 2.20
Imanol Lopez Morillo 43 1.33
Marco Moroni Gian 34 2.25
Ryan Nijboer 35 2.20
Alejandro Juan Mano 23 2.67
Carlos Gimeno Valero 24 1.50
Emanuel Ambrogi Luciano 12 2.50
Facundo Mena 12 2.50
Kane Bonsach Ganley 12 2.50
Michiel De Krom 13 2.33
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. Pedrico Kravtsov 22.00 0.00 %
Alejandro Juan Mano 26.33 66.67 %
Alejo Sanchez Quilez 15.50 0.00 %
Alvaro Lopez San Martin 5.00 0.00 %
Augusto Barreto Sanchez Diego 24.50 100.00 %
Benjamin Winter Lopez 13.00 0.00 %
Bruno Pujol Navarro 15.00 0.00 %
Carlos Gimeno Valero 15.75 0.00 %
Carlos Lopez Montagud 18.60 20.00 %
Dali Blanch 20.00 50.00 %
Emanuel Ambrogi Luciano 23.50 50.00 %
Facundo Mena 24.00 50.00 %
Giacomo Revelli 16.00 0.00 %
Gonzalo Lama 16.00 0.00 %
I. Maksymchuk 17.00 0.00 %
I. Perez 15.00 0.00 %
Imanol Lopez Morillo 18.33 33.33 %
Ivan Marrero Curbelo 25.00 100.00 %
Jaime Caldes 13.00 0.00 %
Jose Gutierrez Oscar 17.00 0.00 %
Julio Cesar Porras 30.00 100.00 %
Kane Bonsach Ganley 23.00 50.00 %
Louis Dussin 24.00 100.00 %
Marco Moroni Gian 20.00 25.00 %
Max Alcala Gurri 26.00 100.00 %
Michiel De Krom 22.33 33.33 %
Noah Regas Luis 15.00 0.00 %
Ryan Nijboer 20.40 20.00 %
Sergio Callejon Hernando 11.00 0.00 %
Tomas Curras Abasolo 18.00 33.33 %
Vilius Gaubas 21.00 0.00 %
Xavi Matas Ortega 10.00 0.00 %
Tournament Avg.   29.11%
Data in above table is calculated from finished matches only.

Clean Sheets

Player Name CS Pld Perc.
Carlos Lopez Montagud 4 5 80.00%
Carlos Gimeno Valero 3 4 75.00%
Imanol Lopez Morillo 2 3 66.67%
Marco Moroni Gian 2 4 50.00%
Ryan Nijboer 2 5 40.00%
Alejo Sanchez Quilez 1 2 50.00%
Emanuel Ambrogi Luciano 1 2 50.00%
Facundo Mena 1 2 50.00%
Giacomo Revelli 1 2 50.00%
Kane Bonsach Ganley 1 2 50.00%
Michiel De Krom 1 3 33.33%
Sergio Callejon Hernando 1 2 50.00%
Tomas Curras Abasolo 1 3 33.33%
A. Pedrico Kravtsov 0 1 0.00%
Alejandro Juan Mano 0 3 0.00%
Alvaro Lopez San Martin 0 1 0.00%
Augusto Barreto Sanchez Diego 0 2 0.00%
Benjamin Winter Lopez 0 1 0.00%
Bruno Pujol Navarro 0 1 0.00%
Dali Blanch 0 1 0.00%
Gonzalo Lama 0 1 0.00%
I. Maksymchuk 0 1 0.00%
I. Perez 0 1 0.00%
Ivan Marrero Curbelo 0 1 0.00%
Jaime Caldes 0 1 0.00%
Jose Gutierrez Oscar 0 1 0.00%
Julio Cesar Porras 0 1 0.00%
Louis Dussin 0 1 0.00%
Max Alcala Gurri 0 1 0.00%
Noah Regas Luis 0 1 0.00%
Vilius Gaubas 0 1 0.00%
Xavi Matas Ortega 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%
A. Pedrico Kravtsov0 50.00%
Alejandro Juan Mano3 62.50%
Alejo Sanchez Quilez0 33.33%
Augusto Barreto Sanchez Diego2 50.00%
Benjamin Winter Lopez0 0.00%
Bruno Pujol Navarro0 0.00%
Carlos Gimeno Valero0 66.67%
Carlos Lopez Montagud5 90.91%
Dali Blanch0 40.00%
Emanuel Ambrogi Luciano0 60.00%
Facundo Mena0 60.00%
Giacomo Revelli0 50.00%
Gonzalo Lama0 0.00%
I. Maksymchuk0 0.00%
I. Perez0 0.00%
Imanol Lopez Morillo2 100.00%
Ivan Marrero Curbelo0 33.33%
Jaime Caldes0 0.00%
Jose Gutierrez Oscar0 0.00%
Julio Cesar Porras0 33.33%
Kane Bonsach Ganley0 60.00%
Louis Dussin0 33.33%
Marco Moroni Gian0 66.67%
Max Alcala Gurri0 0.00%
Michiel De Krom0 57.14%
Noah Regas Luis0 0.00%
Ryan Nijboer0 63.64%
Sergio Callejon Hernando0 0.00%
Tomas Curras Abasolo0 50.00%
Vilius Gaubas0 0.00%
Xavi Matas Ortega0 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 Oviedo 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 Oviedo. 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