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M25 Malibu



M25 Malibu Men ITF Men - Singles - USA 2023

ITF Men - Singles M25 Malibu is a tennis tournament played in USA. There are 32 players competing in the 2023 Men season. Among the players competing in the M25 Malibu are Alex Michelsen, Eero Vasa, Alexander Cozbinov, H. Rivera. Browse below for the M25 Malibu 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.

Trends

Gage Brymer has won 100.00% of sets played in all M25 Malibu matches
Arthur Fery has won 90.91% of sets played in all M25 Malibu matches
Arthur Fery has won all 1st sets in the last 5 matches played at M25 Malibu

Players – Set Performance

Player NamePerformanceMatchesAverage
Arthur Fery 95 2.20
Alex Michelsen 65 2.40
Learner Tien 34 2.25
Zachary Svajda 33 2.33
Alexander Cozbinov 23 2.00
Gage Brymer 21 2.00
Garrett Johns 02 2.00
A. Petrov -11 3.00
Adrian Boitan Gabi -12 2.50
Colin Markes -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
A. Kuperstein 16.00 0.00 %
A. Petrov 38.00 100.00 %
Adrian Boitan Gabi 33.00 50.00 %
Alex Michelsen 20.80 40.00 %
Alexander Cozbinov 17.67 0.00 %
Alexander Kotzen 20.00 0.00 %
Arthur Fery 19.40 20.00 %
Colin Markes 25.00 50.00 %
Connor Farren 39.00 100.00 %
Eero Vasa 15.00 0.00 %
Eric Hadigian 20.00 0.00 %
Gage Brymer 26.00 100.00 %
Garrett Johns 16.00 0.00 %
Govind Nanda 40.00 100.00 %
H. Rivera 31.00 100.00 %
Isaiah Strode 35.00 100.00 %
Kyle Kang 26.00 100.00 %
Learner Tien 24.75 50.00 %
Lucas Renard 16.00 0.00 %
Nathan Ponwith 21.00 0.00 %
R. Quan 17.00 0.00 %
Strong Kirchheimer 28.50 50.00 %
Toby Kodat 44.00 100.00 %
Zachary Svajda 18.33 33.33 %
Tournament Avg.   45.56%
Data in above table is calculated from finished matches only.

Clean Sheets

Player Name CS Pld Perc.
Arthur Fery 4 5 80.00%
Alex Michelsen 3 5 60.00%
Alexander Cozbinov 2 3 66.67%
Learner Tien 2 4 50.00%
Zachary Svajda 2 3 66.67%
Gage Brymer 1 1 100.00%
Garrett Johns 1 2 50.00%
A. Kuperstein 0 1 0.00%
A. Petrov 0 1 0.00%
Adrian Boitan Gabi 0 2 0.00%
Alexander Kotzen 0 1 0.00%
Colin Markes 0 1 0.00%
Connor Farren 0 1 0.00%
Eero Vasa 0 1 0.00%
Eric Hadigian 0 1 0.00%
Govind Nanda 0 1 0.00%
H. Rivera 0 2 0.00%
Isaiah Strode 0 1 0.00%
Kyle Kang 0 1 0.00%
Lucas Renard 0 1 0.00%
Nathan Ponwith 0 1 0.00%
R. Quan 0 1 0.00%
Strong Kirchheimer 0 2 0.00%
Toby Kodat 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. Kuperstein0 0.00%
A. Petrov0 33.33%
Adrian Boitan Gabi0 40.00%
Alex Michelsen0 75.00%
Alexander Cozbinov0 66.67%
Alexander Kotzen0 0.00%
Arthur Fery5 90.91%
Colin Markes0 40.00%
Connor Farren1 33.33%
Eero Vasa0 0.00%
Eric Hadigian0 0.00%
Gage Brymer1 100.00%
Garrett Johns0 50.00%
Govind Nanda0 33.33%
H. Rivera0 40.00%
Isaiah Strode1 33.33%
Kyle Kang0 0.00%
Learner Tien0 66.67%
Lucas Renard0 0.00%
Nathan Ponwith0 0.00%
R. Quan0 0.00%
Strong Kirchheimer0 40.00%
Toby Kodat0 33.33%
Zachary Svajda0 71.43%
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 Malibu 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 Malibu. 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