Tennis · W35 Wagga Wagga · 07/10, 02:00

Prediction: Ya-Yi Yang vs Ena Shibahara

Team pages: Ya-Yi Yang · Ena Shibahara

Prediction summary
Winner
36% 64%
Ya-Yi Yang Ena Shibahara
Estimated games
20.8
Recent form · 10 last
Ya-Yi Yang 5-5 (W-L)
WWLLWWWLLL
Ena Shibahara 5-5 (W-L)
WLWLLLWWWL
Our model (Elo) vs Market Rating Elo · Ya-Yi Yang 1500 · Ena Shibahara 1466
Ya-Yi YangEna Shibahara
Our model55%45%
Market21%79%

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

Ya-Yi YangEna Shibahara
Win %50%40%
Win % · Hard – 0% (4)
Sets (G-P)1.1-1.11.1-1.2
Games (G-P)10.7-10.710-10.6
Aces3.75.4
Double faults3.72.4
1st serve %70.2%70.9%
Break %44.3%42%
Estimated total games (ours) 20.8

Last 10 matches played

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

Ya-Yi Yang

WWLLL

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Date Opponent Sets Games Res.
29/09 Yulia Putintseva
Asian Games
0-2 4-12 L
15/09 Kristiana Sidorova
W35 Shenyang
0-2 9-13 L
10/09 Xinxin Yao
W50 Guiyang
0-2 4-12 L
09/09 Junhan Zhang
W50 Guiyang
2-0 12-7 W
07/09 Anna Kubareva
W50 Guiyang
2-0 13-6 W
06/09 Chengyiyi Yuan
W50 Guiyang
2-1 15-15 W
30/08 Momoko Kobori
W75 Tianjin
0-2 11-14 L
21/08 Rinko Matsuda
W15 Tianjin
1-2 17-19 L
20/08 Ru Xi Wu
W15 Tianjin
2-0 9-3 W
19/08 Yingqun Sun
W15 Tianjin
2-0 13-6 W

Ena Shibahara

LWWWL

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Date Opponent Sets Games Res.
19/09 Jia-Jing Lu
W35 Kyoto
0-2 6-12 L
18/09 Natsuki Yoshimoto
W35 Kyoto
2-0 12-7 W
17/09 Yuno Kitahara
W35 Kyoto
2-0 12-3 W
15/09 Sakura Hosogi
W35 Kyoto
2-0 12-5 W
25/07 Emma Dong
WTA Vancouver · Hard
1-2 12-13 L
01/04 Misaki Matsuda
W100 Luan · ~Hard
1-2 11-15 L
25/03 Yidi Yang
W50 Maanshan · ~Hard
0-2 8-13 L
18/03 Claire Liu
W75 Kofu · ~Hard
1-2 8-16 L
15/03 Hayu Kinoshita
W75 Kyoto
0-2 6-13 L
14/03 Yexin Ma
W75 Kyoto
2-0 13-9 W

Frequently asked questions

Who is the favourite in Ya-Yi Yang vs Ena Shibahara?

Our model gives 64% to Ena Shibahara, 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.