ATP tennis predict — Siddhant Banthia vs James Mccabe

Challenger Hard Jinan challenger · qualification - 1. round 07:05

Predicted probability

Siddhant Banthia

India

7.32%

James Mccabe

Australia

92.68%

Average Odds

8.54 / 1.06

Market probability

11.04% / 88.96%

Why This Prediction?

James Mccabe is the favorite because he has a higher Elo rating (1632 vs 1218), a higher Elo rating on hard courts (1567 vs 1265) and more wins on hard courts (91 vs 1).

Player Comparison

1217.6 Elo 1632.0

1264.6 Elo (surface) 1566.8

2 Wins (Challenger) 102

1 Wins (surface) 91

1 Last 15 form 6

0 Head-to-head wins 0

0.920 Dominance ratio 0.953

1217 Rank 259

26.2 Age 23.3

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.

Siddhant Banthia

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

Favorite (odds 1.30-1.80) 0W–0L · 0.0%

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–3L · 0.0%

4 matches with market odds since 2026-05-24.

James Mccabe

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

Favorite (odds 1.30-1.80) 2W–2L · 50.0%

Even match (odds 1.80-2.20) 0W–2L · 0.0%

Underdog (odds 2.20-4.00) 3W–4L · 42.9%

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

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

Serve & Return

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

Siddhant Banthia James Mccabe

1st Serve In %

—

65.3%

1st Serve Points Won %

—

74.8%

2nd Serve Points Won %

—

51.4%

Return Points Won vs 1st Serve %

—

20.6%

Return Points Won vs 2nd Serve %

—

43.1%

Aces per Service Game

—

0.65

Double Faults per Service Game

—

0.10

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

1st Serve In %

58.1%

63.2%

1st Serve Points Won %

71.1%

71.9%

2nd Serve Points Won %

40.5%

58.8%

Return Points Won vs 1st Serve %

33.7%

26.0%

Return Points Won vs 2nd Serve %

46.9%

51.4%

Aces per Service Game

0.42

0.35

Double Faults per Service Game

0.35

0.22

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.

Siddhant Banthia James Mccabe

Break Points Saved %

—

66.0%

Break Points Converted %

—

42.3%

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

Break Points Saved %

52.8%

64.6%

Break Points Converted %

36.9%

33.8%

Based on each player's last 10 Challenger matches.

Head-to-Head

Siddhant Banthia and James Mccabe have never played each other.

Siddhant Banthia vs James Mccabe — Prediction