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Australian Open - Melbourne, Grand Slam, AUS, Hard, 09/02/2021, Grand Slam Court Speed Is 81.8% (2.8% Above Projected Break Implied E.O.S

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Australian Open - Melbourne, Grand Slam, AUS, Hard, 09/02/2021, Grand Slam Court Speed Is 81.8% (2.8% Above Projected Break Implied E.O.S Australian Open - Melbourne, Grand slam, AUS, Hard, 09/02/2021, Grand Slam Court Speed is 81.8% (2.8% above Projected Break Implied E.O.S. ATP ATP BP BP 12- Pinnacle My TOT mean) - Fast-ish. Hold % Opponent probability World Surface Save Win month Opening Price Surface % Rank Rank TB Price Rating Record 33 Andrey Rublev 95.30% 32.40% 96.77% 8 10 70.3 44.7 5-9 1.01 1.03 117.7 Yannick Hanfmann 72.40% 4.10% 3.23% 101 103 71.4 13.6 6-4 22.62 30.96 87.9 34 Thiago Moura Monteiro 87.00% 11.20% 72.24% 83 115 78.4 30.8 12-13 1.24 1.38 103.5 Andrej Martin 70.30% 26.30% 27.76% 102 179 45.5 45.5 2-8 4.44 3.60 86.8 35 Li Tu 80.90% 3.70% 18.27% 1000 1000 44 27.3 0-1 3.32 5.47 76.3 Feliciano Lopez 97.60% 12.70% 81.73% 63 325 67.1 28.4 2-5 1.37 1.22 97.3 36 Sam Querrey 91.80% 13.30% 56.68% 51 137 51.9 25.4 4-3 1.79 1.76 94.8 Lorenzo Sonego 84.80% 10.70% 43.32% 34 217 56.2 34.9 8-5 2.12 2.31 87.8 37 Casper Ruud 89.30% 16.00% 57.33% 27 69 70.8 30.5 3-5 1.97 1.74 103.9 Jordan Thompson 88.90% 19.60% 42.67% 52 38 65.7 33.3 6-2 1.92 2.34 103.5 38 Nikoloz Basilashvili 74.80% 20.90% 25.03% 39 64 57.3 33 2-2 4.09 4.00 91.4 Tommy Paul 78.80% 16.70% 74.97% 53 46 57.6 35.5 5-6 1.27 1.33 95.4 39 Christopher OConnell 73.70% 13.70% 30.86% 121 124 71.8 34 4-3 5.38 3.24 93.2 Jan-Lennard Struff 82.10% 26.80% 69.14% 37 15 57.3 35.1 6-7 1.19 1.45 101.6 40 Radu Albot 61.70% 13.30% 13.66% 85 301 52.9 28.3 2-6 13.83 7.32 76.9 Roberto Bautista Agut 88.20% 22.90% 86.34% 13 11 68.5 33 5-3 1.04 1.16 103.4 41 David Goffin 82.40% 31.20% 65.79% 14 17 55 50.6 7-3 1.30 1.52 105.7 Alexei Popyrin 73.90% 13.10% 34.21% 114 1000 69.3 28.4 7-4 3.87 2.92 97.2 42 Lloyd Harris 83.50% 16.50% 59.72% 91 71 48.1 35.7 10-4 1.39 1.67 93.5 Mikael Torpegaard 81.30% 14.50% 40.28% 193 169 57.9 45.5 5-3 3.25 2.48 91.3 43 Mackenzie Mcdonald 85.40% 17.40% 66.52% 194 72 54.5 41.7 7-5 1.26 1.50 89.5 Marco Cecchinato 82.90% 10.70% 33.48% 79 298 59.2 25.4 6-5 4.23 2.99 90 44 Guido Pella 72.20% 19.50% 17.40% 44 307 55.6 30.5 3-5 7.07 5.75 97.7 Borna Coric 88.30% 27.00% 82.60% 25 14 68.3 47.1 7-10 1.13 1.21 113.8 45 Filip Krajinovic 73.40% 32.80% 75.62% 31 20 67.3 51.9 3-8 1.24 1.32 106.6 Robin Haase 65.10% 21.40% 24.38% 198 375 65.8 41.7 1-7 4.44 4.10 98.3 46 Pablo Andujar 70.30% 17.00% 24.58% 59 174 51.7 40 1-4 2.52 4.07 81.3 Quentin Halys 87.70% 15.00% 75.42% 206 N/A 64.4 32.4 10-8 1.58 1.33 98.7 47 Roberto Carballes Baena 78.10% 23.30% 65.82% 98 126 55.9 41.1 2-4 1.25 1.52 91.5 Attila Balazs 69.90% 11.10% 34.18% 94 308 16.7 28.6 0-3 4.37 2.93 83.3 48 Vasek Pospisil 76.50% 13.90% 14.90% 61 44 70.7 32.8 6-6 8.80 6.71 102.6 Daniil Medvedev 93.50% 33.20% 85.10% 4 4 61.7 42.7 5-4 1.09 1.18 119.6 49 Stefanos Tsitsipas 91.50% 19.90% 82.49% 6 6 64.7 39.1 12-7 1.08 1.21 110.3 Gilles Simon 79.60% 19.90% 17.51% 64 98 62 35.2 4-3 9.82 5.71 98.4 50 Thanasi Kokkinakis 84.60% 16.60% 64.97% 266 1000 69.4 33.3 0-0 1.73 1.54 101.6 Soon-Woo Kwon 80.00% 21.40% 35.03% 97 32 54.3 35 7-8 2.22 2.85 97 51 Botic Van De Zandschulp 81.50% 16.20% 38.44% N/A 159 1000 47.1 45 9-8 2.23 2.60 100 Carlos Alcaraz Garfia 86.60% 23.30% 61.56% N/A 146 1000 42.9 42.9 13-2 1.72 1.62 105.1 52 Mikael Ymer 69.40% 23.90% 25.54% 95 313 51.3 43.4 1-2 4.78 3.92 97.1 Hubert Hurkacz 81.70% 24.80% 74.46% 29 21 64 45.3 4-4 1.22 1.34 109.4 53 Karen Khachanov 96.40% 22.10% 89.15% 20 24 72.9 36.7 9-8 1.07 1.12 111.4 Aleksandar Vukic 79.50% 13.90% 10.85% 195 94 56.3 41.7 8-2 10.93 9.22 94.5 54 Richard Berankis 83.50% 20.70% 77.14% 72 29 56.9 43.7 6-7 1.15 1.30 100 Sumit Nagal 64.30% 16.80% 22.86% 139 113 54.1 25 1-3 6.14 4.37 80.7 55 Tomas Machac 98.00% 14.60% 54.45% 197 1000 60.7 46.5 9-5 1.42 1.84 102.9 Mario Vilella Martinez 95.10% 11.30% 45.55% 188 1000 78.6 23.1 3-4 3.08 2.20 100 56 Kevin Anderson 79.10% 14.90% 39.12% 82 112 63.2 39.7 3-5 2.53 2.56 98.7 Matteo Berrettini 97.80% 25.70% 60.88% 10 19 73 43.7 5-6 1.58 1.64 117.4 57 Fabio Fognini 73.40% 22.40% 52.99% 17 207 60.7 45.2 3-4 1.88 1.89 101.8 Pierre-Hugues Herbert 72.90% 27.00% 47.01% 84 125 58.2 44.9 6-6 2.00 2.13 101.3 58 Henri Laaksonen 80.60% 11.70% 45.55% 136 1000 56.9 29.9 4-5 2.27 2.20 93.5 Salvatore Caruso 85.00% 22.20% 54.45% 76 49 68.2 32 7-7 1.70 1.84 97.9 59 Pablo Cuevas 78.40% 11.40% 58.17% 70 320 52.3 28 3-6 1.74 1.72 86.2 Andreas Seppi 85.80% 17.40% 41.83% 107 328 58.9 39.1 3-5 2.21 2.39 93.6 60 Tennys Sandgren 72.10% 17.30% 15.13% 50 67 70.2 34.1 7-7 7.39 6.61 101.1 Alex De Minaur 80.70% 32.70% 84.87% 23 8 57.4 51.4 5-5 1.12 1.18 109.7 61 Daniel Evans 71.40% 26.00% 73.69% 33 25 68.6 444 8-7 1.51 1.36 108.1 Cameron Norrie 68.40% 31.70% 26.31% 67 30 65.4 42.2 3-6 2.73 3.80 105.1 62 Ilya Ivashka 82.70% 16.70% 65.46% 110 45 60 30.3 9-6 1.72 1.53 94.9 Roman Safiullin 79.30% 16.50% 34.54% 182 1000 33.3 28.6 4-3 2.24 2.90 91.5 63 Michael Mmoh 76.40% 20.10% 55.89% 177 104 58.2 38.5 4-3 1.58 1.79 92.6 Viktor Troicki 77.90% 17.10% 44.11% 202 156 63.1 39 1-3 2.52 2.27 94.1 64 Laslo Djere 55.50% 17.10% 0.60% 56 303 52.4 41.5 5-5 27.09 166.67 86 Rafael Nadal 93.70% 34.40% 99.40% 2 9 65.8 43.6 4-3 1.01 1.01 124.2 ATP Hard Court Mean 79.0% 61.6 38.4 Australian Open - Melbourne, Grand slam, AUS, Hard, 09/02/2021, A$31.7M, Grand Slam Court Speed is 68.00% (+2.0 % above Projected Break Implied E.O.S. WTA WTA BP BP 12- Pinnacle My TOT mean) - Average - Quick Hold % Opponent probability World Surface Save Win month Opening Price Surface % Rank Rank TB Price Rating Record 1 Ashleigh Barty 87.20% 33.50% 90.37% 1 32 61.3 48.2 0-1 1.11 1.11 113.4 Danka Kovinic 61.70% 26.70% 9.63% 77 100 49.4 50 3-1 7.57 10.38 87.9 2 Sara Sorribes Tormo 41.40% 48.10% 44.73% 62 56 50 48.7 3-0 1.86 2.24 94.9 Daria Gavrilova 40.30% 39.40% 55.27% 452 N/A 43.6 42.2 0-0 2.01 1.81 93.8 3 Saisai Zheng 75.00% 39.30% 53.72% 42 45 48.6 40.4 1-2 2.70 1.86 107.2 Barbora Krejcikova 64.20% 26.90% 46.28% 66 152 55.3 37.5 1-2 1.51 2.16 96.4 4 Martina Trevisan 53.10% 28.20% 10.52% 86 184 57.7 54.5 5-1 7.19 9.51 76.4 Ekaterina Alexandrova 86.10% 29.10% 89.48% 33 61 63.2 45.7 2-6 1.12 1.12 109.4 5 Anett Kontaveit 80.00% 33.00% 76.56% 23 13 66.7 58.6 4-1 1.26 1.31 112.6 Aliaksandra Sasnovich 63.90% 33.60% 23.44% 90 54 54.7 44.8 6-5 4.12 4.27 96.5 6 Kristyna Pliskova 87.20% 17.10% 42.63% 70 355 61.8 42 1-4 1.98 2.35 95.9 Heather Watson 84.90% 25.60% 57.37% 58 30 58.8 47.1 4-4 1.89 1.74 93.6 7 Francesca Jones 62.40% 34.40% 18.39% 245 302 57.2 49.3 3-4 5.61 5.44 90.6 Shelby Rogers 80.50% 27.80% 81.61% 60 11 66.2 48.5 7-2 1.17 1.23 108.7 8 Olga Danilovic 62.90% 25.00% 25.14% 183 189 58.1 52.2 0-1 3.12 3.98 87.5 Petra Martic 84.90% 33.60% 74.86% 18 23 68.9 37.5 7-4 1.40 1.34 109.5 9 Belinda Bencic 60.40% 31.00% 89.40% 12 60 57 57.9 2-1 1.38 1.12 90.6 Lauren Davis 64.60% 33.50% 10.60% 75 177 55.7 41 0-1 3.25 9.43 95.1 10 Svetlana Kuznetsova 68.50% 33.70% 78.40% 37 31 50 47.1 2-3 1.63 1.28 97 Barbora Strycova 60.10% 28.80% 21.60% 38 90 54 44.6 1-2 2.39 4.63 88.6 11 Lin Zhu 68.80% 35.90% 59.65% 92 95 54 48.8 3-1 1.64 1.68 94.6 Whitney Osuigwe 45.80% 23.90% 40.35% 163 362 44.6 40.4 1-0 2.36 2.48 71.6 12 Leylah Annie Fernandez 60.10% 31.60% 31.66% 89 21 49.2 43.1 3-2 3.12 3.16 97.9 Elise Mertens 78.30% 40.20% 68.34% 20 6 64.2 48.2 3-2 1.40 1.46 116.1 13 Karolina Muchova 72.50% 27.80% 62.53% 27 25 60.3 38.6 3-0 1.57 1.60 107.8 Jelena Ostapenko 64.70% 41.50% 37.47% 45 96 47.9 45.9 1-4 2.53 2.67 100 14 Mona Barthel 59.40% 33.30% 27.80% 233 541 52.4 41.4 2-0 3.33 3.60 93.1 Elisabetta Cocciaretto 57.30% 34.40% 72.20% 132 202 54.8 45.6 6-1 1.36 1.39 91 15 Danielle Rose Collins 87.90% 25.80% 71.53% 46 368 64.9 46.3 2-0 1.33 1.40 104.1 Ana Bogdan 79.90% 24.40% 28.47% 93 303 57.4 37.9 1-2 3.57 3.51 96.1 16 Jasmine Paolini 68.20% 30.40% 12.55% 97 319 59.2 43.4 1-0 10.86 7.97 89 Karolina Pliskova 84.10% 24.40% 87.45% 6 36 67.7 32.1 1-5 1.06 1.14 104.9 17 Sofia Kenin 83.00% 30.70% 92.77% 4 28 60.2 45.8 6-5 1.06 1.08 98.1 Maddison Inglis 48.00% 18.40% 7.23% 130 73 44.7 41.2 1-0 11.31 13.83 63.1 18 Anastasija Sevastova 56.70% 26.30% 4.53% 54 123 48.3 38.9 2-2 4.14 22.08 83.1 Kaia Kanepi 72.70% 34.10% 95.47% 94 133 46.6 43.7 2-1 1.26 1.05 99.1 19 Nadia Podoroska 69.10% 31.70% 63.22% 47 115 50.6 42.4 6-6 1.32 1.58 92.9 Christina Mchale 63.10% 26.10% 36.78% 82 48 52.4 45.6 2-1 3.63 2.72 86.9 20 Yafan Wang 59.30% 31.60% 23.08% 96 144 49 42.4 1-2 3.19 4.33 91.9 Donna Vekic 67.40% 35.00% 76.92% 32 76 47.9 43.2 1-3 1.39 1.30 100 21 Jennifer Brady 81.20% 41.00% 81.57% 24 4 67.3 44 4-4 1.11 1.23 123.6 Aliona Bolsova 56.10% 35.40% 18.43% 103 55 45.5 56.1 5-4 7.55 5.43 98.5 22 Madison Brengle 45.70% 45.40% 73.89% 83 39 42.1 52.4 2-2 1.22 1.35 88.7 Arina Rodionova 39.60% 31.60% 26.11% 169 230 41.5 42.5 1-5 4.72 3.83 82.6 23 Chloe Paquet 62.40% 25.20% 20.52% 187 213 49.1 32.6 2-4 3.53 4.87 74.7 Mayar Sherif 73.50% 21.10% 79.48% 128 343 52.6 45.5 5-3 1.33 1.26 85.8 24 Kaja Juvan 60.80% 31.30% 16.72% 104 84 54 47.7 8-1 2.65 5.98 88 Johanna Konta 84.60% 29.90% 83.28% 14 16 67.2 35.9 3-4 1.52 1.20 111.8 25 Victoria Azarenka 77.70% 43.40% 86.38% 13 2 55.4 50.5 3-0 1.39 1.16 117.7 Jessica Pegula 59.10% 30.60% 13.62% 64 20 55.4 45.6 6-2 3.19 7.34 99.1 26 Destanee Aiava 82.80% 14.80% 57.53% 218 114 65.2 28.8 0-1 1.64 1.74 83.3 Samantha Stosur 80.60% 19.70% 42.47% 112 574 48.8 29.7 0-0 2.36 2.35 91.1 27 Nao Hibino 77.60% 36.30% 71.45% 73 67 54.4 40.6 4-1 1.77 1.40 102.8 Astra Sharma 62.60% 22.90% 28.55% 129 124 47.6 38.9 2-3 2.13 3.50 87.8 28 Kristina Mladenovic 57.10% 32.40% 7.52% 50 51 51.1 47.9 1-2 5.41 13.30 91.4 Maria Sakkari 80.40% 35.90% 92.48% 22 8 69.3 48.1 6-1 1.18 1.08 114.7 29 Yulia Putintseva 81.80% 35.90% 64.91% 28 10 60.9 48.3 3-5 1.34 1.54 112.8 Sloane Stephens 62.60% 29.10% 35.09% 40 65 53.6 41 1-1 3.49 2.85 93.6 30 Alison Van Uytvanck 73.00% 29.20% 65.57% 65 107 56.2 44.9 3-4 1.71 1.53 99 Clara Burel 48.40% 30.80% 34.43% 238 N/A 54.2 60 3-4 2.22 2.90 74.4 31 Cori Gauff 63.50% 25.30% 60.60% 48 68 56.2 47.1 2-3 1.39 1.65 90.1 Jil Teichmann 81.70% 35.30% 39.40% 57 35 63.3 47.5 3-2 3.17 2.54 108.3 32 Marie Bouzkova 70.20% 33.20% 33.15% 52 29 54 45.6 1-4 2.64 3.02 106.5 Elina Svitolina 82.80% 37.10% 66.85% 5 18 72.9 46.5 5- 3 1.53 1.50 119.1 WTA Hard Court Mean 66.0% 55 45 .
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