Tennis · M15 Szczawno · 02/09, 10:30

Prediction: Tomas Lanik vs Alex Huszar

Team pages: Tomas Lanik · Alex Huszar

Prediction summary
Winner
57% 43%
Tomas Lanik Alex Huszar
Estimated games
21.3
Recent form · 10 last
Tomas Lanik 5-5 (W-L)
LWLWWLWWLL
Alex Huszar 3-7 (W-L)
LLLWWLLLLW
Our model (Elo) vs Market Rating Elo · Tomas Lanik 1488 · Alex Huszar 1501
Tomas LanikAlex Huszar
Our model48%52%
Market65%35%

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

Tomas LanikAlex Huszar
Win %50%50%
Sets (G-P)1.1-1.11.2-1.3
Games (G-P)10.5-9.710.9-11.3
Aces4.60.5
Double faults2.22.1
1st serve %70.6%62.9%
Break %36.4%45.9%
Estimated total games (ours) 21.3

Last 10 matches played

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

Tomas Lanik

LLWLL

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Date Opponent Sets Games Res.
26/08 John Sperle
M15 Pecs
0-2 5-13 L
20/08 Alexander Wagner
M15 Mistelbach
0-2 11-14 L
19/08 Jure Siftar
M15 Mistelbach
2-0 12-4 W
05/08 Karol Filar
M15 Poprad
1-2 18-18 L
23/07 Marat Sharipov
M25 Ollersbach
0-2 2-10 L
22/07 Jan Hrazdil
M25 Ollersbach
2-0 12-2 W
21/07 Radovan Michalik
M25 Ollersbach
2-0 12-5 W
17/07 Gabriele Bosio
M15 Nova Gorica
0-2 7-13 L
16/07 Nicolas Parizzia
M15 Nova Gorica
2-0 12-7 W
15/07 Dominik Kellovsky
M15 Nova Gorica
2-1 14-11 W

Alex Huszar

LWLLW

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Date Opponent Sets Games Res.
01/09 Filip Drab
M15 Szczawno
2-0 13-8 W
25/08 Heorhii Shylov
M15 Vienna
1-2 11-15 L
30/07 Erik Schiessl
M15 Wels
0-2 1-12 L
29/07 David Eichenseher
M15 Wels
2-1 16-16 W
23/07 Tommaso Compagnucci
M25 Ollersbach
0-2 5-12 L
22/07 Timo Rosenkranz Koenig
M25 Ollersbach
2-1 13-7 W
21/07 Gregor Hausberger
M25 Ollersbach
2-0 13-6 W
16/07 Lambert Ruland
M25 Kramsach
0-2 7-12 L
15/07 Tomohiro Masabayashi
M25 Kramsach
2-1 19-13 W
13/07 Matyas Kozlovsky
M25 Kramsach
1-2 11-12 L

Frequently asked questions

Who is the favourite in Tomas Lanik vs Alex Huszar?

Our model gives 57% to Tomas Lanik.

What is the prediction based on?

On an Elo model adjusted for opponent quality, compared with the market odds.