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Billie Jean King Cup - Group Iv



Billie Jean King Cup - Group Iv Women Double WTA - Doubles - World 2023

WTA - Doubles Billie Jean King Cup - Group Iv is a tennis tournament played in World. There are 68 players competing in the 2023 Women Double season. Among the players competing in the Billie Jean King Cup - Group Iv are Jemusse/ Rafael, Mutuyimana/ Ndahunga, Bakouboula/ Logeat, Onya/ Wantona Bunkuta. Browse below for the Billie Jean King Cup - Group Iv 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

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Semi Finals

Quarter Finals

Round 2

Round 1

🎾 Matches

Trends

Eloundou Nga/ Ngone Hagal has won 100.00% of sets played in all Billie Jean King Cup - Group Iv matches
Eloundou Nga/ Ngone Hagal has won all 1st sets in the last 4 matches played at Billie Jean King Cup - Group Iv
Ranaivo/ Voavy has won 100.00% of sets played in all Billie Jean King Cup - Group Iv matches
Kassim/ Shumet has won 100.00% of sets played in all Billie Jean King Cup - Group Iv matches
Tuyisenge/ Tuyishime has won 100.00% of sets played in all Billie Jean King Cup - Group Iv matches
Tuyishime/ Umumararungu has won 100.00% of sets played in all Billie Jean King Cup - Group Iv matches
Eloundou Nga/ Job has won 100.00% of sets played in all Billie Jean King Cup - Group Iv matches
Bolangi/ Onya has won 100.00% of sets played in all Billie Jean King Cup - Group Iv matches
Bosman Egate/ Onya has won 100.00% of sets played in all Billie Jean King Cup - Group Iv matches
Ranaivo/ Voaviandraina has won 88.89% of sets played in all Billie Jean King Cup - Group Iv matches
Ranaivo/ Voaviandraina has won all 1st sets in the last 3 matches played at Billie Jean King Cup - Group Iv
Tuyisenge/ Umumararungu has won 80.00% of sets played in all Billie Jean King Cup - Group Iv matches

Players – Set Performance

Player NamePerformanceMatchesAverage
Eloundou Nga/ Ngone Hagal 84 2.00
Ranaivo/ Voaviandraina 74 2.25
Ranaivo/ Voavy 42 2.00
Andre/ Crosetti 33 2.33
Tuyisenge/ Umumararungu 32 2.50
Bolangi/ Onya 21 2.00
Bosman Egate/ Onya 21 2.00
Eloundou Nga/ Job 21 2.00
Kassim/ Shumet 21 2.00
Tuyisenge/ Tuyishime 21 2.00
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
Andre/ Crosetti 19.67 33.33 %
Bakouboula/ Odongo 13.00 0.00 %
Bolangi/ Onya 13.00 0.00 %
Bosman Egate/ Onya 16.00 0.00 %
Bosman Egate/ Wantona Bunkuta 14.00 0.00 %
Costa/ Martins 17.00 0.00 %
Crosetti/ Diatta 16.00 0.00 %
Eloundou Nga/ Job 13.00 0.00 %
Eloundou Nga/ Ngone Hagal 14.00 0.00 %
Jemusse/ Rafael 12.00 0.00 %
Joao/ Khumalo 18.67 33.33 %
Job/ Ngone Hagal 26.00 100.00 %
Kassim/ Shumet 15.00 0.00 %
Kassim/ Zewdie 17.75 0.00 %
Khabele/ Maisa 15.50 0.00 %
Khabele/ Moseme 12.00 0.00 %
Logeat/ Odongo 12.00 0.00 %
Maisa/ Moseme 16.00 0.00 %
Mao/ Mollel 30.00 100.00 %
Mao/ Nankulange 17.00 0.00 %
Martins/ Tuluca 19.00 33.33 %
Mollel/ Singo 16.00 0.00 %
Moseme/ Senatla 12.00 0.00 %
Mutuyimana/ Ndahunga 14.00 0.00 %
Onya/ Wantona Bunkuta 21.00 50.00 %
Ranaivo/ Voaviandraina 18.00 25.00 %
Ranaivo/ Voavy 12.00 0.00 %
Tuyisenge/ Tuyishime 18.00 0.00 %
Tuyisenge/ Umumararungu 22.00 50.00 %
Tuyishime/ Umumararungu 13.00 0.00 %
Tournament Avg.   14.17%
Data in above table is calculated from finished matches only.

Clean Sheets

Player Name CS Pld Perc.
Eloundou Nga/ Ngone Hagal 4 4 100.00%
Ranaivo/ Voaviandraina 3 4 75.00%
Andre/ Crosetti 2 3 66.67%
Ranaivo/ Voavy 2 2 100.00%
Bolangi/ Onya 1 1 100.00%
Bosman Egate/ Onya 1 1 100.00%
Eloundou Nga/ Job 1 1 100.00%
Kassim/ Shumet 1 1 100.00%
Kassim/ Zewdie 1 2 50.00%
Khabele/ Maisa 1 2 50.00%
Mao/ Nankulange 1 3 33.33%
Martins/ Tuluca 1 3 33.33%
Tuyisenge/ Tuyishime 1 1 100.00%
Tuyisenge/ Umumararungu 1 2 50.00%
Tuyishime/ Umumararungu 1 1 100.00%
Bakouboula/ Odongo 0 2 0.00%
Bosman Egate/ Wantona Bunkuta 0 1 0.00%
Costa/ Martins 0 1 0.00%
Crosetti/ Diatta 0 2 0.00%
Jemusse/ Rafael 0 1 0.00%
Joao/ Khumalo 0 3 0.00%
Job/ Ngone Hagal 0 1 0.00%
Khabele/ Moseme 0 1 0.00%
Logeat/ Odongo 0 3 0.00%
Maisa/ Moseme 0 1 0.00%
Mao/ Mollel 0 1 0.00%
Mollel/ Singo 0 1 0.00%
Moseme/ Senatla 0 1 0.00%
Mutuyimana/ Ndahunga 0 1 0.00%
Onya/ Wantona Bunkuta 0 2 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%
Andre/ Crosetti1 71.43%
Bakouboula/ Odongo0 0.00%
Bolangi/ Onya1 100.00%
Bosman Egate/ Onya1 100.00%
Bosman Egate/ Wantona Bunkuta0 0.00%
Costa/ Martins0 0.00%
Crosetti/ Diatta0 0.00%
Eloundou Nga/ Job1 100.00%
Eloundou Nga/ Ngone Hagal4 100.00%
Jemusse/ Rafael0 0.00%
Joao/ Khumalo1 14.29%
Job/ Ngone Hagal1 33.33%
Kassim/ Shumet1 100.00%
Kassim/ Zewdie0 55.56%
Khabele/ Maisa1 50.00%
Khabele/ Moseme0 0.00%
Logeat/ Odongo0 0.00%
Maisa/ Moseme0 0.00%
Mao/ Mollel0 33.33%
Mao/ Nankulange0 57.14%
Martins/ Tuluca1 57.14%
Mollel/ Singo0 0.00%
Moseme/ Senatla0 0.00%
Mutuyimana/ Ndahunga0 0.00%
Onya/ Wantona Bunkuta0 40.00%
Ranaivo/ Voaviandraina3 88.89%
Ranaivo/ Voavy2 100.00%
Tuyisenge/ Tuyishime1 100.00%
Tuyisenge/ Umumararungu2 80.00%
Tuyishime/ Umumararungu1 100.00%
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 Billie Jean King Cup - Group Iv 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 WTA - Doubles Billie Jean King Cup - Group Iv. 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