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Australian Open Mixed Double Mixed Doubles - Australia 2023

Mixed Doubles Australian Open is a tennis tournament played in Australia. There are 66 players competing in the 2023 Mixed Double season. Among the players competing in the Australian Open are Chan/ Nys, Zimmermann/ Puetz, Dabrowski/ Purcell, Birrell/ Hijikata. Browse below for the Australian Open 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

22/01/2023 Melichar-Martinez/ Middelkoop
0 - 2
Ninomiya/ Behar
21/01/2023 Fourlis/ Saville
0 - 2
Mirza/ Bopanna
21/01/2023 Stosur/ Ebden
1 - 2
Schuurs/ Mektic
21/01/2023 Olmos/ Arevalo
2 - 1
Chan/ Nys
21/01/2023 Zhang/ Haase
1 - 2
Parnaby/ Harris
21/01/2023 Gadecki/ Polmans
2 - 0
Shibahara/ Koolhof
21/01/2023 Danilina/ Nedovyesov
1 - 2
Mladenovic/ Cabal
20/01/2023 Chan H-/Venus
1 - 2
Ostapenko/ Vega Hernandez
20/01/2023 Mattek-Sands/ Pavic
2 - 1
Pegula/ Krajicek
20/01/2023 Birrell/ Hijikata
2 - 0
Kichenok/ Escobar
20/01/2023 Krawczyk/ Skupski
2 - 1
Hunter/ Peers
20/01/2023 Flipkens/ Roger-Vasselin
1 - 2
Townsend/ Murray
20/01/2023 Cabrera/ Smith
2 - 0
Zimmermann/ Puetz
20/01/2023 Dabrowski/ Purcell
2 - 0
Yang/ Zielinski
20/01/2023 Rosolska/ Rojer
1 - 2
Inglis/ Kubler
20/01/2023 Han/ Zhang
0 - 2
Stefani/ Matos

🎾 Matches

Trends

Stefani/ Matos has won 90.91% of sets played in all Australian Open matches
Gadecki/ Polmans has won all 1st sets in the last 4 matches played at Australian Open

Players – Set Performance

Player NamePerformanceMatchesAverage
Stefani/ Matos 95 2.20
Gadecki/ Polmans 54 2.25
Krawczyk/ Skupski 34 2.75
Mirza/ Bopanna 34 2.25
Ostapenko/ Vega Hernandez 22 3.00
Cabrera/ Smith 13 2.33
Dabrowski/ Purcell 12 2.50
Inglis/ Kubler 13 2.33
Townsend/ Murray 13 3.00
Birrell/ Hijikata 02 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
Birrell/ Hijikata 17.00 0.00 %
Cabrera/ Smith 25.67 33.33 %
Chan H-/Venus 37.00 100.00 %
Chan/ Nys 33.00 100.00 %
Dabrowski/ Purcell 28.50 50.00 %
Danilina/ Nedovyesov 38.00 100.00 %
Flipkens/ Roger-Vasselin 34.00 100.00 %
Fourlis/ Saville 21.00 0.00 %
Gadecki/ Polmans 21.75 25.00 %
Han/ Zhang 14.00 0.00 %
Hunter/ Peers 44.00 100.00 %
Inglis/ Kubler 26.33 33.33 %
Kichenok/ Escobar 20.00 0.00 %
Krawczyk/ Skupski 34.50 75.00 %
Mattek-Sands/ Pavic 31.50 50.00 %
Melichar-Martinez/ Middelkoop 17.00 0.00 %
Mirza/ Bopanna 26.75 50.00 %
Mladenovic/ Cabal 30.00 50.00 %
Ninomiya/ Behar 20.00 50.00 %
Olmos/ Arevalo 38.50 100.00 %
Ostapenko/ Vega Hernandez 40.50 100.00 %
Parnaby/ Harris 29.50 50.00 %
Pegula/ Krajicek 43.00 100.00 %
Rosolska/ Rojer 40.00 100.00 %
Schuurs/ Mektic 36.50 100.00 %
Shibahara/ Koolhof 16.00 0.00 %
Stefani/ Matos 22.80 20.00 %
Stosur/ Ebden 35.00 100.00 %
Townsend/ Murray 35.33 100.00 %
Yang/ Zielinski 20.00 0.00 %
Zhang/ Haase 41.00 100.00 %
Zimmermann/ Puetz 21.00 0.00 %
Tournament Avg.   55.83%
Data in above table is calculated from finished matches only.

Clean Sheets

Player Name CS Pld Perc.
Stefani/ Matos 4 5 80.00%
Gadecki/ Polmans 3 4 75.00%
Mirza/ Bopanna 2 4 50.00%
Birrell/ Hijikata 1 2 50.00%
Cabrera/ Smith 1 3 33.33%
Dabrowski/ Purcell 1 2 50.00%
Inglis/ Kubler 1 3 33.33%
Krawczyk/ Skupski 1 4 25.00%
Ninomiya/ Behar 1 2 50.00%
Chan H-/Venus 0 1 0.00%
Chan/ Nys 0 1 0.00%
Danilina/ Nedovyesov 0 1 0.00%
Flipkens/ Roger-Vasselin 0 1 0.00%
Fourlis/ Saville 0 1 0.00%
Han/ Zhang 0 1 0.00%
Hunter/ Peers 0 1 0.00%
Kichenok/ Escobar 0 1 0.00%
Mattek-Sands/ Pavic 0 1 0.00%
Melichar-Martinez/ Middelkoop 0 1 0.00%
Mladenovic/ Cabal 0 2 0.00%
Olmos/ Arevalo 0 2 0.00%
Ostapenko/ Vega Hernandez 0 2 0.00%
Parnaby/ Harris 0 2 0.00%
Pegula/ Krajicek 0 1 0.00%
Rosolska/ Rojer 0 1 0.00%
Schuurs/ Mektic 0 2 0.00%
Shibahara/ Koolhof 0 1 0.00%
Stosur/ Ebden 0 1 0.00%
Townsend/ Murray 0 3 0.00%
Yang/ Zielinski 0 1 0.00%
Zhang/ Haase 0 1 0.00%
Zimmermann/ Puetz 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%
Birrell/ Hijikata0 50.00%
Cabrera/ Smith0 57.14%
Chan H-/Venus0 33.33%
Chan/ Nys0 33.33%
Dabrowski/ Purcell2 60.00%
Danilina/ Nedovyesov1 33.33%
Flipkens/ Roger-Vasselin0 33.33%
Fourlis/ Saville0 0.00%
Gadecki/ Polmans4 77.78%
Han/ Zhang0 0.00%
Hunter/ Peers1 33.33%
Inglis/ Kubler0 57.14%
Kichenok/ Escobar0 0.00%
Krawczyk/ Skupski0 63.64%
Mattek-Sands/ Pavic0 40.00%
Melichar-Martinez/ Middelkoop0 0.00%
Mirza/ Bopanna0 66.67%
Mladenovic/ Cabal0 40.00%
Ninomiya/ Behar0 50.00%
Olmos/ Arevalo2 50.00%
Ostapenko/ Vega Hernandez0 66.67%
Parnaby/ Harris0 40.00%
Pegula/ Krajicek1 33.33%
Rosolska/ Rojer0 33.33%
Schuurs/ Mektic1 50.00%
Shibahara/ Koolhof0 0.00%
Stefani/ Matos1 90.91%
Stosur/ Ebden1 33.33%
Townsend/ Murray1 55.56%
Yang/ Zielinski0 0.00%
Zhang/ Haase1 33.33%
Zimmermann/ Puetz0 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 Australian Open 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 Mixed Doubles Australian Open. 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