Naoki Nakagawa vs Sasi Kumar MukundKobe CH Qualifying Round 2

Kobe CH · CHALLENGER · Qualifying Round 2
#776ATP
1289ELO
1271Hard ELO
29 yrs · 180 cm · Right-handed
Last 10 · pre-match
LWWLWWLWLL
2 — 0
Sets
Monday, 14 November 2022
hard
1306ELO
1281Hard ELO
29 yrs · 185 cm · Right-handed
Last 10 · pre-match
LLLWWLWLLL
Nakagawa N.
6-3 7-6
Mukund S.
Nakagawa N.
6772
Mukund S.
3650

Naoki Nakagawa defeated Sasi Kumar Mukund 6-3 7-6 in the Kobe CH qualifying round 2 on hard.

Key context

Head to head

No previous meetings on record.

Serve vs return

This season
Nakagawa N.serving82% hold

wins 64% of points on serve vs Mukund S.

Mukund S.serving80% hold

wins 63% of points on serve vs Nakagawa N.

Even serve battle

Each player's serve crossed against the other's return, converted to expected hold of serve. Recent completed matches, ATP, WTA & Challenger. About

Statistics

This season
1st serve in·Even
55%
59%
1st serve points won·Even
71%
69%
2nd serve points won·Even
50%
50%
Service points won·Even
62%
61%
Return points won·Even
37%
37%
Break points saved·Even
61%
57%
Aces / match·Even
6.0
5.4
Double faults / match·Even
2.6
2.4

Averages over each player's completed matches in the selected window (122 vs 146). ATP, WTA & Challenger.

Clutch

Under pressure
Clutch Rating·Even
3
0
Break points saved·Dominant
57
20
Break points won·Even
1
5
Deciding sets·Even
12
13
Tiebreaks·Dominant
17
56

Performance in the biggest moments — break points, deciding sets and tiebreaks (0–100, higher is better). About

Umpiry Score

Pre-match
5.6
Slight disadvantageUmpiry ScorePartial · surface data limited
6.7
Slight advantageUmpiry ScorePartial · surface data limited
Form & Matchup
0.0No prior meetings
H2H
10.0
3.7
Surface form
6.1
0.0
Win streak
0.0
Fatigue & Travel
6.4
Minutes 14d
5.7
7.0
3-set count
4.0
9.0
Prev. match
9.0
Context
5.0
Defending pts
5.0

The Umpiry Score combines match-context factors — matchup, form, fatigue, travel and motivation — into a single 0–10 score, updated daily. Read how it works.

Conditions

Court speed
Medium-fastrewards aggression
SlowFast