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Tournament Predictions

2017 Australian Open Predictions
The Tennis Recruiting Network's forecasting models calculate the chance of each player reaching each round, taking into account the power rating of each player prior to the tournament's start date. Select the event you want to view below, and click on the column headers to change the table's sort order. The draws and results for this tournament can be found at the official Australian Open website.
 
Boys' Singles Girls' Singles Men's Singles Women's Singles
  Initial Predictions | 1st | 2nd | 3rd | QF | SF |  
UPSETSPrevious
Round
Totals Through
Prev. Round
Current
Round
Upsets by RatingHigher Rated Player loses to Lower Rated Player
Total Matches163
Predicted Upsets016
Actual Upsets123
Difference-1 -7 
Seeded UpsetsHigher Seed loses to Lower Seed or Unseeded Player
Total Matches138
Predicted Upsets09
Actual Upsets115
Difference-1 -6 
Draw
Line
SeedNat. Player Name2nd
Round
3rd
Round
Quarter
Finals
Semi
Finals
FinalsWIN
5715Z. Piros ✔  ✔  ✔³ ✔² ✔³ ✔³
174Y. Oliel ✔  ✔  ✔  ✔  ✔³
335C. Moutet ✔  ✔  ✔  ✔ 
11Y. Wu ✔  ✔  ✔  ✔ 
53 M. Martineau ✔  ✔  ✔ 
46 E. Ruusuvuori ✔  ✔  ✔ 
14 A. Zakharov ✔² ✔³ ✔ 
27 M. Efstathiou ✔  ✔² ✔³
642Y. Hsu ✔  ✔ 
326D. Vale ✔  ✔ 
22 A. Rotsaert ✔  ✔¹
42 M. Vrbensky ✔¹ ✔²
38 S. Hazawa ✔  ✔ 
6 M. Broville ✔  ✔³
50 F. Iannaccone ✔³ ✔ 
12 C. Ferguson ✔² ✔³
167A. Popyrin ✔ 
26 C. Tseng ✔³
816A. Lim ✔ 
44 M. Sokolovskiy ✔ 
911E. Kirkin ✔²
2414D. Added ✔ 
47 L. Vuradin ✔³
36 V. Dancu ✔²
60 B. Nkomba ✔ 
3 F. Bass ✔ 
39 J. De Jong ✔³
29 M. Bouzige ✔ 
62 T. Boyer ✔²
55 R. Hijikata ✔³
51 A. Crnokrak ✔²
20 M. Dellavedova ✔²
483M. Moeller
5612K. Zuk
35 Z. Bergs
259T. Horie
13 S. Carr
4010T. Bryde
10 A. Ayeni
498N. Tajima
2 Y. Kikuchi
23 A. Walton
58 R. Nijboer
45 M. Stewart
31 N. Vylegzhanin
21 J. Molloy
18 F. Forti
11 M. Frinzi
4113L. Zhao
63 K. Gore
59 B. Smith
15 A. Rai
43 K. Pearson
28 J. Howard-Tripp
7 B. Yin
54 F. Reynolds
52 S. Banthia
30 T. Mu
4 S. Montsi
5 T. Bosancic
61 P. Henning
19 I. Schouten
37 D. Sweeny
34 K. Cavrak
✔  denotes an expected win
✔¹ denotes an expected win over a higher seeded player
✔² denotes an unexpected win over a higher rated player
✔³ denotes an unexpected win over a higher rated and higher seeded player
The idea for this analysis was inspired by Nate Silver's March Madness Predictions at FiveThirtyEight.com.
 

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7/02 Wimbledon 72.6%
 
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Page updated on Wednesday, July 26, 2017 at 12:10:36 AM
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