ATP tennis predict — Ryan Seggerman vs Maxim Zhukov

Challenger Hard Wuning 3 challenger · qualification - round of 16 05:30

Predicted probability

Ryan Seggerman

USA

75.38%

Maxim Zhukov

Russia

24.62%

Average Odds

1.22 / 3.92

Market probability

76.26% / 23.74%

Why This Prediction?

Ryan Seggerman is the favorite because he has a higher Elo rating (1622 vs 1395), a higher Elo rating on hard courts (1540 vs 1393) and a stronger serve (69.6% vs 55.4% of service points won).

Player Comparison

1621.7 Elo 1395.1

1539.8 Elo (surface) 1393.3

53 Wins (Challenger) 17

29 Wins (surface) 17

9 Last 15 form 5

0 Head-to-head wins 0

1.022 Dominance ratio 0.812

612 Rank 726

27.2 Age 21.7

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.

Ryan Seggerman

Heavy favorite (odds below 1.30) 2W–0L · 100.0%

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

Even match (odds 1.80-2.20) 3W–1L · 75.0%

Underdog (odds 2.20-4.00) 0W–3L · 0.0%

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

13 matches with market odds since 2026-05-31.

Maxim Zhukov

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

Favorite (odds 1.30-1.80) 1W–3L · 25.0%

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

Underdog (odds 2.20-4.00) 0W–1L · 0.0%

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

5 matches with market odds since 2026-08-02.

Serve & Return

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

Ryan Seggerman Maxim Zhukov

1st Serve In %

55.3%

—

1st Serve Points Won %

70.5%

—

2nd Serve Points Won %

45.5%

—

Return Points Won vs 1st Serve %

26.3%

—

Return Points Won vs 2nd Serve %

42.1%

—

Aces per Service Game

0.79

—

Double Faults per Service Game

0.43

—

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

1st Serve In %

61.2%

58.9%

1st Serve Points Won %

79.3%

62.8%

2nd Serve Points Won %

61.1%

46.3%

Return Points Won vs 1st Serve %

22.9%

33.8%

Return Points Won vs 2nd Serve %

49.5%

49.2%

Aces per Service Game

0.71

0.50

Double Faults per Service Game

0.29

0.41

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.

Ryan Seggerman Maxim Zhukov

Break Points Saved %

56.4%

—

Break Points Converted %

34.6%

—

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

Break Points Saved %

61.0%

47.8%

Break Points Converted %

27.4%

40.5%

Based on each player's last 10 Challenger matches.

Head-to-Head

Ryan Seggerman and Maxim Zhukov have never played each other.

Ryan Seggerman vs Maxim Zhukov — Prediction