Tennis · W35 Kunshan · 29/10, 04:00

Prediction: Yufei Ren vs Yu Jun Lin

Team pages: Yufei Ren · Yu Jun Lin

Prediction summary
Winner
60% 40%
Yufei Ren Yu Jun Lin
Estimated games
21.4
Recent form · 10 last
Yufei Ren 6-4 (W-L)
WLWLWWLWLW
Yu Jun Lin 4-6 (W-L)
LWLLWLLLWW
Our model (Elo) vs Market Rating Elo · Yufei Ren 1518 · Yu Jun Lin 1489
Yufei RenYu Jun Lin
Our model54%46%
Market65%35%

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 RenYu Jun Lin
Win %60%40%
Win % · Hard 0% (1) 0% (2)
Sets (G-P)1.3-1.11.1-1.1
Games (G-P)11-10.59.5-9.5
Aces1.52.2
Double faults3.13.1
1st serve %60.2%63.5%
Break %42.6%46%
Estimated total games (ours) 21.4

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

WLLLW

Swipe the table sideways →

Date Opponent Sets Games Res.
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
10/09 Yuhan Wang
W50 Guiyang
2-0 12-8 W

Yu Jun Lin

LLLWW

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Date Opponent Sets Games Res.
28/10 Polina Leykina
W35 Kunshan
2-0 12-2 W
26/10 Wenfei Yu
W35 Kunshan
2-0 12-5 W
17/10 Daria Snigur
WTA Ningbo · Hard
1-2 11-14 L
01/10 Storm Hunter
WTA Beijing · Hard
0-2 3-12 L
14/08 Chengyiyi Yuan
W15 Tianjin
0-2 12-14 L
13/08 Duanrui Gao
W15 Tianjin
2-0 12-5 W
11/08 Yuhan Wang
W15 Tianjin
1-1 1-6 L
07/08 Chengyiyi Yuan
W15 Tianjin
1-2 10-16 L
05/08 Eva Marie Desvignes
W15 Tianjin
2-0 12-7 W
05/05 Nina Vargova
W15 Beograd · ~Clay
0-2 10-14 L

Frequently asked questions

Who is the favourite in Yufei Ren vs Yu Jun Lin?

Our model gives 60% to Yufei Ren, 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.