ATP tennis predict — Daniil Glinka vs Philip Sekulic

Challenger Hard Granby challenger · R16

Predicted probability

Daniil Glinka

Estonia

50.79%

Philip Sekulic

Australia

49.21%

Average Odds

1.54 / 2.36

Market probability

60.51% / 39.49%

Why This Prediction?

This is a very close match — there is no significant statistical edge for either player.

Player Comparison

1602.5 Elo 1514.8

1636.0 Elo (surface) 1526.0

72 Wins (Challenger) 66

66 Wins (surface) 66

8 Last 15 form 8

0 Head-to-head wins 0

1.086 Dominance ratio 1.193

167 Rank 317

26.2 Age 22.9

left Hand right

Performance vs. the Odds

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

Daniil Glinka

Heavy favorite (odds below 1.30) 3W–0L · 100.0%

Favorite (odds 1.30-1.80) 8W–3L · 72.7%

Even match (odds 1.80-2.20) 1W–4L · 20.0%

Underdog (odds 2.20-4.00) 2W–3L · 40.0%

Heavy underdog (odds above 4.00) 0W–1L · 0.0%

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

Philip Sekulic

Heavy favorite (odds below 1.30) 0W–0L · 0.0%

Favorite (odds 1.30-1.80) 3W–2L · 60.0%

Even match (odds 1.80-2.20) 0W–0L · 0.0%

Underdog (odds 2.20-4.00) 3W–6L · 33.3%

Heavy underdog (odds above 4.00) 0W–0L · 0.0%

14 matches with market odds since 2026-07-01.

Serve & Return

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

Daniil Glinka Philip Sekulic

1st Serve In %

61.6%

62.7%

1st Serve Points Won %

71.7%

69.3%

2nd Serve Points Won %

47.6%

50.7%

Return Points Won vs 1st Serve %

23.2%

30.2%

Return Points Won vs 2nd Serve %

44.1%

44.5%

Aces per Service Game

0.50

0.38

Double Faults per Service Game

0.32

0.17

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

1st Serve In %

65.6%

60.6%

1st Serve Points Won %

68.3%

68.6%

2nd Serve Points Won %

51.5%

46.4%

Return Points Won vs 1st Serve %

35.9%

34.1%

Return Points Won vs 2nd Serve %

51.6%

61.1%

Aces per Service Game

0.38

0.58

Double Faults per Service Game

0.22

0.38

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.

Daniil Glinka Philip Sekulic

Break Points Saved %

60.0%

56.2%

Break Points Converted %

42.9%

27.4%

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

Break Points Saved %

54.2%

46.3%

Break Points Converted %

41.6%

46.7%

Based on each player's last 10 Challenger matches.

Head-to-Head

Daniil Glinka 0 – 0 Philip Sekulic

Hard Granby challenger · 2026-07-16

R16

Philip Sekulic #317

Daniil Glinka #167

6-1 1-6 6-3

11 Aces 3

6 Double Faults 3

65 Service Points 67

41 First Serve In 40

27 First Serve Won 29

8 Second Serve Won 13

5 Break Points Saved 1

10 Break Points Faced 5

- Winners -

- Unforced Errors -

2.4 Average Odds 1.5

Daniil Glinka vs Philip Sekulic — Prediction

Why This Prediction?

Player Comparison

Performance vs. the Odds

Serve & Return

Break Point Performance

Head-to-Head

Daniil Glinka — Last 10

Philip Sekulic — Last 10