Tennis · W75 Brisbane · 10/11, 02:00

Prediction: Xinxin Yao vs Renee Alame

Team pages: Xinxin Yao · Renee Alame

Prediction summary
Winner
74% 26%
Xinxin Yao Renee Alame
Estimated games
20.7
Recent form · 10 last
Xinxin Yao 5-5 (W-L)
LLLLWWWWWL
Renee Alame 5-5 (W-L)
WLWLWLLWWL
Our model (Elo) vs Market Rating Elo · Xinxin Yao 1528 · Renee Alame 1497
Xinxin YaoRenee Alame
Our model54%46%
Market90%10%

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

Xinxin YaoRenee Alame
Win %60%50%
Win % · Hard 0% (2) –
Sets (G-P)1.3-1.21.1-1.2
Games (G-P)11.7-119-9.5
Aces1.10.8
Double faults1.42.8
1st serve %58.9%54%
Break %52.9%49.6%
Estimated total games (ours) 20.7

Last 10 matches played

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

Xinxin Yao

WLWWL

Swipe the table sideways →

Date Opponent Sets Games Res.
06/11 Katie Swan
W100 Incheon
0-2 5-13 L
05/11 Xiaodi You
W100 Incheon
2-1 16-12 W
03/11 Hanna Chang
W100 Incheon
2-1 15-6 W
25/10 Daria Khomutsianskaya
W35 Qian Daohu
1-2 12-14 L
24/10 Rada Zolotareva
W35 Qian Daohu
2-0 13-9 W
23/10 Yidi Yang
W35 Qian Daohu
2-0 12-4 W
22/10 Yujia Huang
W35 Qian Daohu
2-1 17-14 W
21/10 Sijia Wei
W35 Qian Daohu
2-1 15-12 W
05/10 Aliaksandra Sasnovich
WTA Suzhou · Hard
0-2 6-13 L
28/09 Maddison Inglis
WTA Beijing · Hard
0-2 6-13 L

Renee Alame

LLWWL

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Date Opponent Sets Games Res.
29/10 Hikaru Sato
W35 Sydney
1-2 9-13 L
28/10 Yuhan Liu
W35 Sydney
2-0 14-11 W
27/10 Nanari Katsumi
W35 Sydney
2-1 12-9 W
20/10 Tahlia Kokkinis
W35 Sydney
0-2 5-12 L
30/07 Chia Yi Tsao
W15 Brisbane
0-2 4-12 L
28/07 Ava-Monet Sycamore
W15 Brisbane
2-0 12-2 W
22/07 Fang An Lin
W15 Brisbane
0-2 5-12 L
21/07 Shiho Shibata
W15 Brisbane
2-0 12-2 W
11/02 Miho Kuramochi
W75 Brisbane
0-2 3-12 L
09/02 Elyse Tse
W75 Brisbane
2-1 14-10 W

Frequently asked questions

Who is the favourite in Xinxin Yao vs Renee Alame?

Our model gives 74% to Xinxin Yao, using surface Elo on hard.

What is the prediction based on?

On an Elo model by surface (hard) adjusted for opponent quality, compared with the market odds.