Tennis · W15 Yeongwol · 05/09, 04:00

Prediction: Yujin Kim vs Naho Sato

Team pages: Yujin Kim · Naho Sato

Prediction summary
Winner
31% 69%
Yujin Kim Naho Sato
Estimated games
19.3
Recent form · 10 last
Yujin Kim 4-6 (W-L)
LLLLWLLWWW
Naho Sato 4-6 (W-L)
LWLWLLLWWL
Our model (Elo) vs Market Rating Elo · Yujin Kim 1510 · Naho Sato 1511
Yujin KimNaho Sato
Our model50%50%
Market16%84%

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

Yujin KimNaho Sato
Win %50%50%
Win % · Hard 0% (2) 50% (2)
Sets (G-P)0.9-1.31.1-1.1
Games (G-P)8-9.79.7-8.6
Aces0.60.3
Double faults2.92.3
1st serve %51.3%56.7%
Break %35.2%54.3%
Estimated total games (ours) 19.3

Last 10 matches played

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

Yujin Kim

WLWWW

Swipe the table sideways →

Date Opponent Sets Games Res.
04/09 Chenting Zhu
W15 Yeongwol
1-1 10-9 W
03/09 BoYoung Jeong
W15 Yeongwol
1-0 7-5 W
01/09 Youna Kim
W15 Yeongwol
2-1 16-12 W
20/08 Sijia Wei
W15 Tianjin
0-2 3-7 L
19/08 Ruien Zhang
W15 Tianjin
2-1 17-13 W
18/08 Yu Jin Ahn
W15 Tianjin
2-0 12-6 W
04/08 Anna Yang
W15 Tianjin
1-2 6-9 L
16/06 Kanon Sawashiro
W15 Sapporo
0-2 5-12 L
08/06 Nao Nishino
W15 Tokyo · ~Hard
0-2 1-12 L
28/05 Eunchae Kim
W15 Fukui · ~Hard
0-2 3-12 L

Naho Sato

LLWWW

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Date Opponent Sets Games Res.
04/09 Sae Noguchi
W15 Yeongwol
1-1 8-7 W
03/09 Chia Yi Tsao
W15 Yeongwol
2-0 12-5 W
01/09 Onyu Choi
W15 Yeongwol
2-0 12-2 W
26/08 Viktoria Morvayova
W15 Tianjin
0-2 6-13 L
25/08 Lingyou Ge
W15 Tianjin
1-1 6-7 L
12/08 Victoria Allen
W35 Aldershot
1-2 12-16 L
11/08 Mio Mushika
W35 Aldershot
2-0 12-2 W
06/08 Hiromi Abe
W35 Roehampton · ~Hard
0-2 7-12 L
04/08 Indianna Spink
W35 Roehampton · ~Hard
2-1 13-9 W
28/07 Linda Klimovicova
W35 Aldershot
0-2 9-13 L

Frequently asked questions

Who is the favourite in Yujin Kim vs Naho Sato?

Our model gives 69% to Naho Sato, 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.