Tennis · W100 Incheon · 04/11, 03:00

Prediction: Yufei Ren vs Yeon Woo Ku

Team pages: Yufei Ren · Yeon Woo Ku

Prediction summary
Winner
39% 61%
Yufei Ren Yeon Woo Ku
Estimated games
22.2
Recent form · 10 last
Yufei Ren 5-5 (W-L)
LWLWWLWLWL
Yeon Woo Ku 7-3 (W-L)
WWWWLLWWWL
Our model (Elo) vs Market Rating Elo · Yufei Ren 1491 · Yeon Woo Ku 1496
Yufei RenYeon Woo Ku
Our model49%51%
Market31%69%

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

Yufei RenYeon Woo Ku
Win %50%50%
Win % · Hard 0% (1) 50% (2)
Sets (G-P)1.1-1.31.3-1.2
Games (G-P)10.6-10.911.7-11
Aces1.41
Double faults3.33.6
1st serve %59.7%56.6%
Break %49.7%46.8%
Estimated total games (ours) 22.2

Last 10 matches played

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

Yufei Ren

LLLWL

Swipe the table sideways →

Date Opponent Sets Games Res.
29/10 Yu Jun Lin
W35 Kunshan
0-2 8-12 L
27/10 Zi Ye Zhang
W35 Kunshan
2-0 13-6 W
20/10 Jiangxue Han
W35 Qian Daohu
0-2 5-12 L
28/09 Yexin Ma
WTA Beijing · Hard
1-2 10-16 L
18/09 Kristiana Sidorova
W35 Shenyang
1-2 9-14 L
17/09 Priska Madelyn Nugroho
W35 Shenyang
2-1 17-11 W
16/09 Jiaqi Wang
W35 Shenyang
1-0 6-0 W
13/09 Alexandra Shubladze
W50 Guiyang
0-2 5-12 L
12/09 Daria Khomutsianskaya
W50 Guiyang
2-1 17-15 W
11/09 Hina Inoue
W50 Guiyang
2-1 16-11 W

Yeon Woo Ku

LWWLL

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Date Opponent Sets Games Res.
27/10 Kylie Collins
W100 New Braunfels
0-2 2-12 L
22/10 Anastasia Tikhonova
W50 Austin
1-2 14-14 L
21/10 Kylie Collins
W50 Austin
2-0 12-4 W
20/10 Arantxa Rus
W50 Austin
2-1 15-10 W
17/10 Renata Zarazua
W100 Edmond
0-2 4-12 L
16/10 Arantxa Rus
W100 Edmond
2-1 18-14 W
14/10 Zoie Epps
W100 Edmond
2-0 12-7 W
29/09 Moyuka Uchijima
Asian Games
1-2 15-17 L
24/09 Elena-Gabriela Ruse
WTA Seoul · Hard
1-2 13-15 L
22/09 Alevtina Ibragimova
WTA Seoul · Hard
2-0 12-5 W

Frequently asked questions

Who is the favourite in Yufei Ren vs Yeon Woo Ku?

Our model gives 61% to Yeon Woo Ku, 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.