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Tournament Predictions

2015 Southern Calfornia Sectionals 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 USTA TennisLink website.

Related Content: Post-Tournament Analysis

 
Boys' 18 Singles B16 B14 B12 G18 G16 G14 G12
  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 Upsets012
Actual Upsets111
Difference-1 +1 
Seeded UpsetsHigher Seed loses to Lower Seed or Unseeded Player
Total Matches144
Predicted Upsets08
Actual Upsets16
Difference-1 +2 
Draw
Line
SeedPlayer Name2nd
Round
3rd
Round
Quarter
Finals
Semi
Finals
FinalsWIN
484B. Holt ✔  ✔  ✔  ✔  ✔  ✔³
11K. Boyd ✔  ✔  ✔  ✔  ✔ 
173R. Stalder ✔  ✔  ✔  ✔ 
609J. Ortlip ✔  ✔  ✔  ✔ 
95R. Smith ✔  ✔  ✔ 
369N. Borchenko ✔  ✔  ✔³
299R. Marker ✔  ✔  ✔³
529D. Gealer ✔  ✔  ✔³
255J. Brumm ✔  ✔ 
565B. Hoffmann ✔  ✔ 
405B. Rowe ✔  ✔ 
449R. Shen ✔  ✔ 
59M. Cancilla ✔  ✔ 
62 G. Gomes ✔  ✔³
16 C. Chakravarthi ✔  ✔¹
22 Z. Brodney ✔  ✔ 
642K. Hance ✔ 
3 A. Ayeni ✔ 
28 K. Lam ✔²
139D. Goulak ✔ 
12 J. Rotheram ✔ 
54 D. Harris ✔ 
23 K. Kozlowski ✔ 
58 C. Deng ✔²
33 J. Star ✔ 
7 A. Gaal ✔ 
37 J. Meyer ✔²
41 K. McCann ✔ 
45 I. Volk ✔ 
50 J. Kogan ✔²
31 M. Miller ✔²
19 A. Leahy ✔²
27 E. Young-Smith
57 R. Lenhard
51 M. Pham
18 J. Gordy
61 R. Lan
38 B. Lam
14 R. DeLaTorre
53 K. Smith
21 V. Bajpai
59 H. Lopez
47 D. Chen
55 A. Stern
20 C. Lee
6 G. Cooper
10 G. Vincent
39 J. Yeam
34 J. Tscherne
49 G. Sumen
35 D. DeLaTorre
32 A. Ju
26 A. Kenawi
4 A. Mashhadi
42 C. Lipscomb
63 R. Ponder
15 R. Brown
24 J. Piatos
8 V. Yadav
30 G. Noonan
43 H. Cohen
2 L. Chmielewski
46 A. Saleh
11 A. Thornes
✔  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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Page updated on Monday, April 11, 2016 at 12:17:26 AM
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