ATP tennis predict — Omar Jasika vs Marat Sharipov

Challenger Hard Shanghai challenger · QF 12:00

Predicted probability

Omar Jasika

Australia

28.50%

Marat Sharipov

Russia

71.50%

Average Odds

2.83 / 1.40

Market probability

33.10% / 66.90%

Why This Prediction?

Marat Sharipov is the favorite because he has a higher Elo rating (1727 vs 1510), a higher Elo rating on hard courts (1717 vs 1502) and more aces per game (0.48 vs 0.13).

Player Comparison

1510.2 Elo 1726.5

1502.3 Elo (surface) 1716.6

111 Wins (Challenger) 52

108 Wins (surface) 43

7 Last 15 form 10

0 Head-to-head wins 1

1.182 Dominance ratio 1.005

408 Rank 442

29.3 Age 23.9

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.

Omar Jasika

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

Favorite (odds 1.30-1.80) 1W–2L · 33.3%

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

Underdog (odds 2.20-4.00) 1W–2L · 33.3%

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

9 matches with market odds since 2026-08-30.

Marat Sharipov

Heavy favorite (odds below 1.30) 1W–0L · 100.0%

Favorite (odds 1.30-1.80) 2W–1L · 66.7%

Even match (odds 1.80-2.20) 5W–1L · 83.3%

Underdog (odds 2.20-4.00) 2W–0L · 100.0%

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

12 matches with market odds since 2026-06-29.

Serve & Return

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

Omar Jasika Marat Sharipov

1st Serve In %

68.6%

52.3%

1st Serve Points Won %

55.3%

70.6%

2nd Serve Points Won %

40.4%

41.9%

Return Points Won vs 1st Serve %

25.9%

14.3%

Return Points Won vs 2nd Serve %

49.5%

42.9%

Aces per Service Game

0.18

0.40

Double Faults per Service Game

0.26

0.50

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

1st Serve In %

68.9%

54.0%

1st Serve Points Won %

72.1%

81.5%

2nd Serve Points Won %

58.0%

50.0%

Return Points Won vs 1st Serve %

29.9%

18.2%

Return Points Won vs 2nd Serve %

55.0%

40.6%

Aces per Service Game

0.27

0.67

Double Faults per Service Game

0.15

0.12

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.

Omar Jasika Marat Sharipov

Break Points Saved %

43.0%

62.5%

Break Points Converted %

26.8%

—

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

Break Points Saved %

70.0%

56.5%

Break Points Converted %

37.9%

33.3%

Based on each player's last 10 Challenger matches.

Head-to-Head

Omar Jasika 0 – 1 Marat Sharipov

Hard Shanghai challenger · 2026-09-11

QF

Marat Sharipov #442

Omar Jasika #408

6-4 6-4

1 Aces 6

2 Double Faults 0

- Service Points -

- First Serve In -

37 First Serve Won 35

6 Second Serve Won 7

4 Break Points Saved 0

6 Break Points Faced 0

- Winners -

- Unforced Errors -

1.4 Average Odds 2.8

Hard Gwangju CH · 2026-04-20

Q1

Marat Sharipov #365

Omar Jasika #463

6-4 6-1

6 Aces 0

1 Double Faults 2

44 Service Points 41

26 First Serve In 29

20 First Serve Won 16

11 Second Serve Won 3

1 Break Points Saved 2

3 Break Points Faced 7

- Winners -

- Unforced Errors -

- Average Odds -

Omar Jasika vs Marat Sharipov — Prediction