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M15 Pittsburgh



M15 Pittsburgh Men ITF Men - Singles - USA 2023

ITF Men - Singles M15 Pittsburgh is a tennis tournament played in USA. There are 32 players competing in the 2023 Men season. Among the players competing in the M15 Pittsburgh are Jesse Flores, Nick Lagaev, Manuel Aguilar Juan Carlos, A. Bancila. Browse below for the M15 Pittsburgh 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

Darian King has won 83.33% of sets played in all M15 Pittsburgh matches

Players – Set Performance

Player NamePerformanceMatchesAverage
Darian King 85 2.40
Manuel Aguilar Juan Carlos 65 2.40
Felix Corwin 34 2.25
Samir Banerjee 34 2.25
Ignacio Monzon 23 2.00
Jesse Flores 23 2.67
A.J. Catanzariti 12 2.50
Alexander Kotzen 12 2.50
Bruno Kuzuhara 13 2.33
Kosuke Ogura 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. Bancila 22.00 0.00 %
A.J. Catanzariti 27.50 50.00 %
Alexander Kotzen 24.00 50.00 %
Bruno Kuzuhara 20.67 33.33 %
C. Mahjoob 12.00 0.00 %
Darian King 21.80 60.00 %
Enrique Pena 21.00 0.00 %
Evan Bynoe 21.00 0.00 %
Fabien Salle 17.00 0.00 %
Felix Corwin 21.50 25.00 %
Henrik Wiersholm 23.00 100.00 %
Ignacio Monzon 18.00 0.00 %
Jacob Brumm 17.00 0.00 %
Jesse Flores 25.33 66.67 %
Jody Maginley 18.00 0.00 %
Kosuke Ogura 24.00 50.00 %
Kyle Seelig 25.50 50.00 %
Manuel Aguilar Juan Carlos 23.20 60.00 %
Nick Lagaev 13.50 0.00 %
Patrick Maloney 21.00 50.00 %
Preston Brown 19.00 0.00 %
Ryan Dickerson 25.50 100.00 %
Samir Banerjee 21.50 50.00 %
Sebastian Osorio Juan 17.00 0.00 %
Thomas Brown 19.00 0.00 %
Thomas Byers Loren 17.00 0.00 %
Tristan McCormick 7.00 0.00 %
Tyler Stice 25.00 100.00 %
Tyler Zink 23.00 100.00 %
William Grant 25.50 100.00 %
Tournament Avg.   34.83%
Data in above table is calculated from finished matches only.

Clean Sheets

Player Name CS Pld Perc.
Darian King 3 5 60.00%
Manuel Aguilar Juan Carlos 3 5 60.00%
Ignacio Monzon 2 3 66.67%
A.J. Catanzariti 1 2 50.00%
Alexander Kotzen 1 2 50.00%
Bruno Kuzuhara 1 3 33.33%
Felix Corwin 1 2 50.00%
Jesse Flores 1 3 33.33%
Kosuke Ogura 1 2 50.00%
Nick Lagaev 1 2 50.00%
Patrick Maloney 1 2 50.00%
Samir Banerjee 1 2 50.00%
William Grant 1 2 50.00%
A. Bancila 0 1 0.00%
C. Mahjoob 0 1 0.00%
Enrique Pena 0 1 0.00%
Evan Bynoe 0 1 0.00%
Fabien Salle 0 1 0.00%
Henrik Wiersholm 0 1 0.00%
Jacob Brumm 0 1 0.00%
Jody Maginley 0 1 0.00%
Kyle Seelig 0 2 0.00%
Preston Brown 0 1 0.00%
Ryan Dickerson 0 1 0.00%
Sebastian Osorio Juan 0 1 0.00%
Thomas Brown 0 1 0.00%
Thomas Byers Loren 0 1 0.00%
Tristan McCormick 0 1 0.00%
Tyler Stice 0 1 0.00%
Tyler Zink 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. Bancila0 0.00%
A.J. Catanzariti0 60.00%
Alexander Kotzen2 60.00%
Bruno Kuzuhara0 57.14%
C. Mahjoob0 0.00%
Darian King0 83.33%
Enrique Pena0 0.00%
Evan Bynoe0 0.00%
Fabien Salle0 0.00%
Felix Corwin0 66.67%
Henrik Wiersholm0 0.00%
Ignacio Monzon0 66.67%
Jacob Brumm0 0.00%
Jesse Flores1 62.50%
Jody Maginley0 0.00%
Kosuke Ogura2 60.00%
Kyle Seelig0 40.00%
Manuel Aguilar Juan Carlos2 75.00%
Nick Lagaev0 0.00%
Patrick Maloney0 60.00%
Preston Brown0 0.00%
Ryan Dickerson1 50.00%
Samir Banerjee0 66.67%
Sebastian Osorio Juan0 0.00%
Thomas Brown0 0.00%
Thomas Byers Loren0 0.00%
Tyler Stice1 33.33%
Tyler Zink0 0.00%
William Grant2 60.00%
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 Pittsburgh 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 Pittsburgh. 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