← Back to Predictions

Timo Legout vs Daniel Milavsky — Prediction

Challenger Hard San Diego 2 challenger · 1. round 00:35

Predicted probability

Timo Legout

France

40.91%

Average Odds

1.52  /  2.41

Market probability

61.32%  /  38.68%

Why This Prediction?

Daniel Milavsky is the favorite because he has the advantage of playing in his home country, fewer double faults per game (0.13 vs 0.37) and a stronger serve (59.5% vs 47.4% of service points won).

Player Comparison

1723.5 Elo 1685.3
1697.5 Elo (surface) 1626.1
20 Wins (Challenger) 32
18 Wins (surface) 27
11 Last 15 form 10
0 Head-to-head wins 0
0.928 Dominance ratio 1.013
410 Rank 312
None Age 25.0
right Hand right

Performance vs. the Odds

Career record grouped by how big a favorite the market made each player, based on their average odds.

Timo Legout

Heavy favorite (odds below 1.30) 3W–0L · 100.0%
Favorite (odds 1.30-1.80) 4W–2L · 66.7%
Even match (odds 1.80-2.20) 3W–1L · 75.0%
Underdog (odds 2.20-4.00) 3W–1L · 75.0%
Heavy underdog (odds above 4.00) 1W–1L · 50.0%

19 matches with market odds since 2026-05-26.

Daniel Milavsky

Heavy favorite (odds below 1.30) 2W–0L · 100.0%
Favorite (odds 1.30-1.80) 8W–3L · 72.7%
Even match (odds 1.80-2.20) 1W–1L · 50.0%
Underdog (odds 2.20-4.00) 4W–6L · 40.0%
Heavy underdog (odds above 4.00) 1W–0L · 100.0%

26 matches with market odds since 2026-05-26.

Serve & Return

Serve and return win rates from each player's last 10 matches at the selected level.

Timo Legout Daniel Milavsky

1st Serve In %

64.0%
65.5%

1st Serve Points Won %

57.7%
70.9%

2nd Serve Points Won %

30.0%
37.9%

Return Points Won vs 1st Serve %

38.0%
23.5%

Return Points Won vs 2nd Serve %

34.1%
50.0%

Aces per Service Game

0.06
0.64

Double Faults per Service Game

0.75
0.27

Based on each player's last 10 ATP/Grand Slam matches.

1st Serve In %

59.1%
59.1%

1st Serve Points Won %

61.9%
70.7%

2nd Serve Points Won %

50.0%
46.3%

Return Points Won vs 1st Serve %

30.9%
32.6%

Return Points Won vs 2nd Serve %

52.9%
52.7%

Aces per Service Game

0.17
0.44

Double Faults per Service Game

0.27
0.33

Based on each player's last 10 Challenger matches.

Break Point Performance

How each player handles the biggest points - break points saved serving, and converted returning - from their last 10 matches at the selected level.

Timo Legout Daniel Milavsky

Break Points Saved %

44.4%
70.0%

Break Points Converted %

16.7%
40.0%

Based on each player's last 10 ATP/Grand Slam matches.

Break Points Saved %

64.8%
56.8%

Break Points Converted %

51.8%
42.9%

Based on each player's last 10 Challenger matches.

Head-to-Head

Timo Legout 00 Daniel Milavsky

Hard San Diego 2 challenger · 2026-09-23
7-5 6-7 6-2
2 Aces 9
5 Double Faults 5
- Service Points -
- First Serve In -
55 First Serve Won 51
19 Second Serve Won 21
9 Break Points Saved 13
12 Break Points Faced 19
- Winners -
- Unforced Errors -
1.5 Average Odds 2.4

Timo Legout — Last 10

W W W L W W W L W L

Daniel Milavsky — Last 10

L L L L W W W L W W