Tennis · W75 Sydney · 16/11, 01:30

Prediction: Sijia Wei vs Vaidehee Chaudhari

Team pages: Sijia Wei · Vaidehee Chaudhari

Prediction summary
Winner
67% 33%
Sijia Wei Vaidehee Chaudhari
Estimated games
20.1
Recent form · 10 last
Sijia Wei 8-2 (W-L)
WWWWLWWWLW
Vaidehee Chaudhari 4-6 (W-L)
WLLLWLLWLW
Our model (Elo) vs Market Rating Elo · Sijia Wei 1561 · Vaidehee Chaudhari 1547
Sijia WeiVaidehee Chaudhari
Our model52%48%
Market79%21%

The bar above blends our model with the market: where our probability diverges most from the odds is where the model sees the widest gap.

Statistics

Sijia WeiVaidehee Chaudhari
Win %70%70%
Sets (G-P)1.5-0.71.4-0.9
Games (G-P)11.2-7.610.7-9.4
Aces1.60.7
Double faults1.42.1
1st serve %66.3%57.3%
Break %52.5%57.7%
Estimated total games (ours) 20.1

Last 10 matches played

Last matches of each player (sets and games). W = win, L = loss. Common opponents to both are in blue.

Sijia Wei

WWWLW

Swipe the table sideways →

Date Opponent Sets Games Res.
15/11 Elyse Tse
W75 Sydney
2-0 12-4 W
12/11 Joanna Garland
W75 Brisbane
0-2 6-12 L
11/11 Eva Bennemann
W75 Brisbane
2-0 12-5 W
09/11 Ya-Yi Yang
W75 Brisbane
2-0 12-2 W
08/11 Joellah Wan
W75 Brisbane
2-0 12-2 W
31/10 Wushuang Zheng
W35 Kunshan
0-2 3-12 L
30/10 Priska Madelyn Nugroho
W35 Kunshan
2-1 19-16 W
29/10 Tiana Tian Deng
W35 Kunshan
2-0 12-3 W
28/10 Jiangxue Han
W35 Kunshan
2-0 12-5 W
21/10 Xinxin Yao
W35 Qian Daohu
1-2 12-15 L

Vaidehee Chaudhari

WLWLW

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Date Opponent Sets Games Res.
15/11 Chihiro Muramatsu
W75 Sydney
2-0 12-6 W
09/11 Merel Hoedt
W75 Brisbane
0-2 4-12 L
08/11 Amy Stevens
W75 Brisbane
2-0 12-5 W
30/10 Funa Kozaki
W35 Sydney
0-2 3-12 L
29/10 Lucia Gale
W35 Sydney
2-1 16-9 W
28/10 Chia Yi Tsao
W35 Sydney
2-0 13-9 W
24/10 I Wen Wan
W35 Sydney
0-2 6-12 L
23/10 Tahlia Kokkinis
W35 Sydney
2-1 16-14 W
22/10 Sera Nishimoto
W35 Sydney
2-1 13-8 W
21/10 Elyse Tse
W35 Sydney
2-0 12-7 W

Frequently asked questions

Who is the favourite in Sijia Wei vs Vaidehee Chaudhari?

Our model gives 67% to Sijia Wei.

What is the prediction based on?

On an Elo model adjusted for opponent quality, compared with the market odds.