Tennis · M25 Laval · 11/07, 18:30

Prediction: Kenta Miyoshi vs Timo Legout

Prediction summary
Winner
45% 55%
Kenta Miyoshi Timo Legout
Estimated games
20.9
Recent form · 10 last
Kenta Miyoshi 8-2 (W-L)
LWWWWWLWWW
Timo Legout 9-1 (W-L)
WLWWWWWWWW
Our model (Elo) vs Market Rating Elo · Kenta Miyoshi 1538 · Timo Legout 1568
Kenta MiyoshiTimo Legout
Our model46%54%
Market44%56%

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

Kenta MiyoshiTimo Legout
Win %70%80%
Win % · Hard 57% (7) 71% (7)
Sets (G-P)1.5-0.71.8-0.6
Games (G-P)11.2-8.512.3-9.8
Aces4.41.4
Double faults1.52.8
1st serve %74.8%71%
Break %46.3%55%
Estimated total games (ours) 20.9

Last 10 matches played

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

Kenta Miyoshi

WLWWW

Swipe the table sideways →

Date Opponent Sets Games Res.
11/07 Karl Poling
M25 Laval
2-0 12-7 W
09/07 Justin Boulais
M25 Laval
2-0 13-6 W
07/07 Stephane Pierre-Jo Kamendje
M25 Laval
2-0 12-7 W
25/06 Vignesh Gogineni
M15 Claremont · ~Hard
0-2 6-12 L
24/06 Nav Dayal
M15 Claremont · ~Hard
2-0 12-1 W
20/06 Bryce Nakashima
M15 Irvine · ~Hard
1-2 13-17 L
20/06 Rudy Quan
M15 Irvine · ~Hard
2-1 14-13 W
19/06 Benjamin O'Connell
M15 Irvine · ~Hard
2-0 12-5 W
17/06 Lambert Ruland
M15 Irvine · ~Hard
2-0 12-5 W
12/06 Sebastian Gorzny
M25 Wichita · ~Hard
0-2 6-12 L

Timo Legout

WLWWW

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Date Opponent Sets Games Res.
10/07 Mikael Arseneault
M25 Laval
2-0 12-6 W
09/07 Duncan Chan
M25 Laval
2-0 13-9 W
08/07 Justin Roberts
M25 Laval
2-1 15-14 W
06/07 Braden Shick
Challenger Cary · Hard
1-2 14-17 L
05/07 Edward Winter
Challenger Cary · Hard
2-0 14-10 W
04/07 Ozan Baris
Challenger Cary · Hard
2-0 12-5 W
02/07 Rei Sakamoto
Challenger Cary · Hard
2-0 12-7 W
01/07 Blaise Bicknell
Challenger Cary · Hard
2-0 12-5 W
10/06 Andrew Fenty
M25 Wichita · ~Hard
1-2 8-16 L
09/06 Matthew Shearer
M25 Wichita · ~Hard
2-1 11-9 W

Frequently asked questions

Who is the favourite in Kenta Miyoshi vs Timo Legout?

Our model gives 55% to Timo Legout, 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.