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Tournament Predictions

2017 US 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 US 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 Upsets021
Actual Upsets022
Difference0-1 
Seeded UpsetsHigher Seed loses to Lower Seed or Unseeded Player
Total Matches137
Predicted Upsets112
Actual Upsets113
Difference0-1 
Draw
Line
SeedNat. Player Name2nd
Round
3rd
Round
Quarter
Finals
Semi
Finals
FinalsWIN
642Y. Wu ✔  ✔  ✔  ✔  ✔  ✔¹
11A. Geller ✔  ✔  ✔  ✔  ✔ 
43 E. Ruusuvuori ✔  ✔¹ ✔² ✔¹
19 T. Skatov ✔  ✔³ ✔² ✔ 
5611O. Crawford ✔  ✔  ✔ 
4010S. Baez ✔² ✔  ✔ 
30 D. Thomas ✔  ✔³ ✔ 
10 N. Tajima ✔³ ✔  ✔²
47 S. Riffice ✔¹ ✔ 
21 S. Carr ✔  ✔ 
815D. Vale ✔² ✔²
14 M. Efstathiou ✔² ✔³
26 G. Loffhagen ✔³ ✔ 
58 J. Paul ✔³ ✔²
52 P. Uisung ✔² ✔³
35 T. Hilderbrand ✔² ✔³
173J. Rodionov ✔ 
496Y. Oliel ✔ 
335M. Miladinovic ✔ 
4113S. Korda ✔ 
328Y. Hsu ✔ 
5 A. Rotsaert ✔ 
59 V. Kirkov ✔ 
38 A. Ayeni ✔²
167T. Bryde ✔ 
3 B. Nakashima ✔ 
54 A. Rubio ✔ 
46 T. Machac ✔²
23 J. Angel ✔³
27 R. Nijboer ✔ 
62 J. De Jong ✔ 
11 H. Gaston ✔²
2512P. Kypson
5714T. Seyboth Wild
39 G. Decamps
484Y. Shimizu
51 G. Ross
45 Z. Bergs
99M. Vrbensky
2416J. Grassi Mazzuchi
12 L. Greif
37 C. Bittoun Kouzmine
36 A. Zakharov
7 N. Mejia
63 D. Added
13 F. Forti
55 A. McHugh
20 S. Hazawa
22 S. Sridhar
44 G. Nanda
60 T. Horie
42 J. Draper
28 O. Styler
15 N. Hardt
18 B. Cernoch
53 C. Tabur
6 M. Bellalouna
34 S. Hernandez
4 M. Pucinelli De Almeida
31 B. Shi
2 A. Fenty
50 R. Goetz
29 S. Banthia
61 A. Nefve
✔  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 Thursday, September 14, 2017 at 3:36:53 PM
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