Tennis · M25 Louisville · 17/07, 18:30

Prediction: Alexander Frusina vs Timo Legout

Prediction summary
Winner
34% 66%
Alexander Frusina Timo Legout
Estimated games
20.2
Recent form · 10 last
Alexander Frusina 8-2 (W-L)
WWWLWWLWWW
Timo Legout 9-1 (W-L)
WWWWWWWLWW
Our model (Elo) vs Market Rating Elo · Alexander Frusina 1566 · Timo Legout 1569
Alexander FrusinaTimo Legout
Our model50%50%
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

Alexander FrusinaTimo Legout
Win %80%80%
Win % · Hard 75% (4) 75% (4)
Sets (G-P)1.5-0.41.7-0.5
Games (G-P)10.6-6.812.6-8.8
Aces2.61.6
Double faults3.52.4
1st serve %68.4%72.5%
Break %53.4%57.2%
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.

Alexander Frusina

WLWWW

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Date Opponent Sets Games Res.
16/07 William Jansen
M25 Louisville
2-0 13-10 W
15/07 Ryan Colby
M25 Louisville
1-0 7-3 W
14/07 Jon Gamble
M25 Louisville
2-0 12-2 W
09/07 Evan Zhu
M25 Dallas
0-2 7-12 L
08/07 Xavier Calvelo
M25 Dallas
2-0 12-4 W
07/07 Alex Finkelstein
M25 Dallas
2-0 12-2 W
03/07 Aziz Ouakaa
M15 Monastir · ~Hard
0-2 5-12 L
02/07 Andrea Paolini
M15 Monastir · ~Hard
2-0 12-7 W
01/07 Ali Habib
M15 Monastir · ~Hard
2-0 13-9 W
30/06 Milledge Cossu
M15 Monastir · ~Hard
2-0 13-7 W

Timo Legout

WWLWW

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Date Opponent Sets Games Res.
16/07 Oliver Bonding
M25 Louisville
2-0 12-3 W
15/07 Donald Nikolas Stoot
M25 Louisville
2-0 12-4 W
11/07 Kenta Miyoshi
M25 Laval
0-2 10-13 L
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

Frequently asked questions

Who is the favourite in Alexander Frusina vs Timo Legout?

Our model gives 66% 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.