ATP tennis predict — J J Wolf vs Mark Lajal

Challenger Hard Vancouver challenger · F

Predicted probability

J J Wolf

USA

49.61%

Mark Lajal

Estonia

50.39%

Average Odds

1.55 / 2.30

Market probability

59.74% / 40.26%

Why This Prediction?

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

Player Comparison

1715.1 Elo 1721.3

1761.3 Elo (surface) 1739.8

109 Wins (Challenger) 133

99 Wins (surface) 119

10 Last 15 form 10

0 Head-to-head wins 0

0.977 Dominance ratio 1.060

563 Rank 189

27.6 Age 23.2

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.

J J Wolf

Heavy favorite (odds below 1.30) 4W–0L · 100.0%

Favorite (odds 1.30-1.80) 5W–5L · 50.0%

Even match (odds 1.80-2.20) 3W–0L · 100.0%

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

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

20 matches with market odds since 2026-06-30.

Mark Lajal

Heavy favorite (odds below 1.30) 11W–3L · 78.6%

Favorite (odds 1.30-1.80) 10W–3L · 76.9%

Even match (odds 1.80-2.20) 2W–2L · 50.0%

Underdog (odds 2.20-4.00) 3W–3L · 50.0%

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

37 matches with market odds since 2026-06-02.

Serve & Return

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

J J Wolf Mark Lajal

1st Serve In %

54.1%

61.5%

1st Serve Points Won %

71.5%

70.8%

2nd Serve Points Won %

50.6%

54.2%

Return Points Won vs 1st Serve %

27.2%

25.9%

Return Points Won vs 2nd Serve %

53.0%

53.8%

Aces per Service Game

0.52

0.48

Double Faults per Service Game

0.28

0.29

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

1st Serve In %

59.3%

58.9%

1st Serve Points Won %

72.8%

61.5%

2nd Serve Points Won %

51.0%

44.0%

Return Points Won vs 1st Serve %

22.6%

27.2%

Return Points Won vs 2nd Serve %

50.5%

57.3%

Aces per Service Game

0.55

0.44

Double Faults per Service Game

0.19

0.43

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.

J J Wolf Mark Lajal

Break Points Saved %

53.3%

62.7%

Break Points Converted %

36.8%

41.3%

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

Break Points Saved %

55.7%

55.4%

Break Points Converted %

32.3%

35.3%

Based on each player's last 10 Challenger matches.

Head-to-Head

J J Wolf 0 – 0 Mark Lajal

Hard Vancouver challenger · 2026-08-02

F

J J Wolf #563

Mark Lajal #189

7-5 6-1

4 Aces 9

2 Double Faults 5

59 Service Points 66

32 First Serve In 39

27 First Serve Won 23

11 Second Serve Won 9

1 Break Points Saved 4

3 Break Points Faced 9

- Winners -

- Unforced Errors -

1.6 Average Odds 2.3

J J Wolf vs Mark Lajal — Prediction