Mananchaya Sawangkaew vs Emerson JonesW100 Gifu Final

W100 Gifu · CHALLENGER · Final
#164WTA
1696ELO
1657Hard ELO
24 yrs · Right-handed
Last 10 · pre-match
LWWWLWWWWW
0 — 0
Sets
Monday, 27 April 2026
hard
#135WTA
1671ELO
1664Hard ELO
18 yrs · Right-handed
Last 10 · pre-match
LWLLLLWWWL
Sawangkaew M.
7-6 6-3
Jones E.
Sawangkaew M.
7762
Jones E.
623

Mananchaya Sawangkaew defeated Emerson Jones 7-6 6-3 in the W100 Gifu final on hard. The upset overturned the form book — Emerson Jones came in ranked #135, defending last year's semi-final.

Key context

Head to head

No previous meetings on record.

Serve vs return

This season
Sawangkaew M.serving58% hold

wins 53% of points on serve vs Jones E.

Jones E.serving51% hold

wins 50% of points on serve vs Sawangkaew M.

Baseline battle — serve is shaky, expect plenty of breaks

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·Slight edge
67%
62%
1st serve points won·Even
66%
63%
2nd serve points won·Even
45%
47%
Service points won·Even
59%
57%
Return points won·Even
47%
46%
Break points saved·Even
58%
58%
Aces / match·Even
2.0
2.0
Double faults / match·Slight edge
3.3
4.0

Averages over each player's completed matches in the selected window (35 vs 23). ATP, WTA & Challenger.

Umpiry Score

Pre-match
6.5
Marginal edgeUmpiry Score
6.4
Marginal edgeUmpiry Score
Form & Matchup
5.1Hard Elo 1657
Surface ELO
4.9+7 Hard Elo edge
5.0Overall Elo 1696
ELO gap
5.0Overall Elo 1671
5.0No prior meetings
H2H
5.0
6.1
Surface form
5.9
0.0
Win streak
0.0
Fatigue & Travel
3-set count
7.0
Context
Defending pts
8.5

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.

Freshness

Recent load
Freshness·Dominant
57
100

Sawangkaew M.: 1 day rest · 3 matches, 65 games (7d) · Jones E.: 17 days rest. Higher means fresher. About

Conditions

Court speed
Medium-fastrewards aggression
SlowFast