Juncheng Shang vs Stefan DostanicLexington CH Round of 32

Lexington CH · CHALLENGER · Round of 32
#274ATP
1746ELO
1698Hard ELO
21 yrs · 180 cm · Left-handed
Last 10 · pre-match
LLLWLWWLWW
2 — 1
Sets
Monday, 1 August 2022
hard
#276ATP
1485ELO
1492Hard ELO
24 yrs · 188 cm · Right-handed
Last 10 · pre-match
LWLWLWLWLL
Shang J.
6-0 4-6 6-3
Dostanic S.
Shang J.
6462
Dostanic S.
0631

Juncheng Shang defeated Stefan Dostanic 6-0 4-6 6-3 in the Lexington CH round of 32 on hard.

Key context

Head to head

No previous meetings on record.

Serve vs return

This season
Shang J.serving80% hold

wins 63% of points on serve vs Dostanic S.

Dostanic S.serving85% hold

wins 66% of points on serve vs Shang J.

Serve advantage — Dostanic S.

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

Serve & return on hard

Shang J.Dostanic S.
34
Serve
18
Return

Per-surface Serve / Return Rating (0–100, percentile within the hard field, opponent-adjusted over 52 weeks). About

Statistics

This season
1st serve in·Even
64%
65%
1st serve points won·Even
70%
70%
2nd serve points won·Even
53%
50%
Service points won·Even
64%
63%
Return points won·Even
36%
40%
Break points saved·Even
62%
62%
Aces / match·Clear edge
3.7
5.5
Double faults / match·Even
2.6
2.8

Averages over each player's completed matches in the selected window (197 vs 87). ATP, WTA & Challenger.

Umpiry Score

Pre-match
7.1
Strong advantageUmpiry Score
3.6
Heavy underdogUmpiry ScorePartial · surface data limited
  • Extended break: 371 days (−1.5)
Form & Matchup
7.2+207 Hard Elo edge
Surface ELO
2.8Hard Elo 1492
7.4Overall Elo 1746
ELO gap
2.6Overall Elo 1485
5.0No prior meetings
H2H
5.0
5.6
Surface form
7.03-match win streak
Win streak
0.0Lost last 2
Fatigue & Travel
6.0
Minutes 14d
4.0
3-set count
7.0
Prev. match
Context
5.0
Defending pts
6.0

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