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Tournament Predictions

2016 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 Upsets018
Actual Upsets012
Difference0+6 
Seeded UpsetsHigher Seed loses to Lower Seed or Unseeded Player
Total Matches142
Predicted Upsets114
Actual Upsets113
Difference0+1 
Draw
Line
SeedNat. Player Name2nd
Round
3rd
Round
Quarter
Finals
Semi
Finals
FinalsWIN
5 O. Anderson ✔  ✔¹ ✔³ ✔  ✔¹ ✔¹
497D. Karimov ✔  ✔  ✔  ✔  ✔³
336A. De Minaur ✔  ✔  ✔  ✔³
325Y. Chung ✔  ✔² ✔  ✔ 
483S. Tsitsipas ✔  ✔  ✔ 
14 M. Purcell ✔  ✔¹ ✔ 
2415K. Raisma ✔² ✔  ✔³
5713Y. Watanuki ✔  ✔  ✔³
174F. Auger-Aliassime ✔  ✔ 
11M. Valkusz ✔  ✔ 
642M. Kecmanovic ✔  ✔ 
43 L. Caruana ✔  ✔ 
53 C. Oh ✔  ✔ 
28 T. Wu ✔  ✔¹
10 E. Guell Bartrina ✔¹ ✔ 
4012Y. Hossam ✔  ✔ 
814U. Humbert ✔ 
29 P. Rikl ✔ 
168U. Blanch ✔ 
3 K. Sultanov ✔ 
45 C. Manda ✔ 
55 M. Siimar ✔¹
2511G. Olivieri ✔²
22 L. Kazakov ✔ 
42 B. Ellis ✔¹
35 E. Benchetrit ✔ 
37 P. Matuszewski ✔ 
61 J. Lin ✔²
19 T. Mu ✔²
60 M. Bouzige ✔²
52 A. Tang ✔ 
12 L. Vuradin ✔²
62 N. Kuhn
26 G. Blancaneaux
2 G. Moroni
23 E. Furness
6 L. Klein
13 T. Horie
50 Z. Clark
15 K. Zuk
63 R. Molleker
11 S. Cuypers
18 A. Ciurletti
54 L. Tessa
31 A. Popyrin
569J. Clarke
4116Y. Wu
910A. Lim
7 y. Tanaka
47 Z. Piros
34 C. Summaria
44 R. Noguchi
4 E. Moore
36 E. Kirkin
27 S. Jones
59 N. Khunjan
20 Y. Oliel
38 A. Aleshchev
39 R. Wrzesinski
46 R. Yang
58 C. Lo
21 A. Walton
30 D. Sumizawa
51 N. Consalvo
✔  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 Sunday, April 10, 2016 at 11:05:38 PM
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