Tennis · M15 Yanagawa City · 28/10, 05:00

Prediction: Yu Tanaka vs Saki Tange

Team pages: Yu Tanaka · Saki Tange

Prediction summary
Winner
58% 42%
Yu Tanaka Saki Tange
Estimated games
19.9
Recent form · 10 last
Yu Tanaka 5-5 (W-L)
LWLWWLWLLW
Saki Tange 5-5 (W-L)
WLLWLLWWLW
Our model (Elo) vs Market Rating Elo · Yu Tanaka 1530 · Saki Tange 1504
Yu TanakaSaki Tange
Our model54%46%
Market61%39%

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

Yu TanakaSaki Tange
Win %60%50%
Win % · Hard – 33% (3)
Sets (G-P)1.3-0.91.1-1.2
Games (G-P)10.5-8.49.7-9.3
Aces2.60.5
Double faults1.52.4
1st serve %72%65.8%
Break %69.3%47.5%
Estimated total games (ours) 19.9

Last 10 matches played

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

Yu Tanaka

LWWLW

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Date Opponent Sets Games Res.
27/10 Riku Takahata
M15 Yanagawa City
2-0 12-2 W
22/10 Hyu Kawanishi
M15 Tanagura
1-2 16-17 L
21/10 Kokoro Isomura
M15 Tanagura
2-1 16-9 W
19/10 Yua Taka
M15 Tanagura
2-0 12-6 W
10/09 Keisuke Saitoh
M25 Sapporo
0-2 6-12 L
09/09 Ryuki Matsuda
M25 Sapporo
2-0 12-4 W
07/09 Yuichiro Inui
M25 Sapporo
2-0 12-5 W
01/09 Makoto Ochi
M25 Urayasu
0-2 3-12 L
31/08 Naoki Tajima
M25 Urayasu
2-0 7-4 W
06/08 Shunsuke Mitsui
M15 Astana
0-2 9-13 L

Saki Tange

LWWLW

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Date Opponent Sets Games Res.
27/10 Kazushi Idogaki
M15 Yanagawa City
2-1 10-8 W
10/09 Sanhui Shin
M25 Sapporo
0-2 8-13 L
08/09 Alejandro Hayen
M25 Sapporo
2-0 12-4 W
07/09 Riku Nakamoto
M25 Sapporo
2-0 12-3 W
02/09 Hikaru Shiraishi
M25 Urayasu
0-2 7-12 L
29/07 Sergey Petrov
M15 Astana
1-2 12-14 L
27/07 Daniel Yurekli
M15 Astana
2-0 12-3 W
07/07 Yuto Oki
M15 Tokyo · ~Hard
0-2 8-13 L
01/07 Matthew Dellavedova
M15 Tokyo · ~Hard
0-2 5-12 L
30/06 Shu Matsuoka
M15 Tokyo · ~Hard
2-1 11-11 W

Frequently asked questions

Who is the favourite in Yu Tanaka vs Saki Tange?

Our model gives 58% to Yu Tanaka, 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.