Tennis · M25 Sapporo · 10/09, 03:00

Prediction: Yu Tanaka vs Keisuke Saitoh

Team pages: Keisuke Saitoh

Prediction summary
Winner
37% 63%
Yu Tanaka Keisuke Saitoh
Estimated games
20.2
Recent form · 10 last
Yu Tanaka 6-4 (W-L)
WLLWWLWLWW
Keisuke Saitoh 5-5 (W-L)
WWLLLLWWLW
Our model (Elo) vs Market Rating Elo · Yu Tanaka 1539 · Keisuke Saitoh 1534
Yu TanakaKeisuke Saitoh
Our model51%49%
Market25%75%

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 TanakaKeisuke Saitoh
Win %60%60%
Win % · Hard 33% (3) 0% (2)
Sets (G-P)1.3-0.91.3-0.9
Games (G-P)9.9-8.710.4-9.8
Aces2.71.5
Double faults1.41.5
1st serve %69.4%64%
Break %58.4%41.1%
Estimated total games (ours) 20.2

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

LWLWW

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Date Opponent Sets Games Res.
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
04/08 Saveliy Ivanov
M15 Astana
2-0 13-7 W
27/07 Natsuki Yamamoto
M15 Astana
2-0 12-6 W
01/07 Kasidit Samrej
M15 Tokyo · ~Hard
0-2 6-13 L
30/06 Shunsuke Nakagawa
M15 Tokyo · ~Hard
2-1 13-11 W
15/06 Azuma Visaya
M15 Tokyo · ~Hard
1-2 12-12 L

Keisuke Saitoh

LWWLW

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Date Opponent Sets Games Res.
09/09 Kokoro Isomura
M25 Sapporo
2-0 12-5 W
04/09 Yanki Erel
M25 Urayasu
0-2 0-12 L
03/09 Chase Ferguson
M25 Urayasu
2-0 12-5 W
01/09 Sena Okabe
M25 Urayasu
2-0 12-5 W
26/08 Matthew Dellavedova
M25 Taipei · ~Hard
0-2 3-12 L
18/08 Tsung-Hao Huang
M25 Taipei · ~Hard
0-2 7-13 L
01/08 Sam Ryan Ziegann
M15 Bali
1-2 13-18 L
31/07 Sanhui Shin
M15 Bali
2-1 19-12 W
30/07 Rafalentino Ali Da Costa
M15 Bali
2-0 14-12 W
28/07 Daniel Bagnolini
M15 Bali
2-0 12-4 W

Frequently asked questions

Who is the favourite in Yu Tanaka vs Keisuke Saitoh?

Our model gives 63% to Keisuke Saitoh, 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.