Jonathan Irwanto vs Zen Uehling — score & stats

Set by set

Player	Set 1	Set 2	Sets
J. Irwanto	6	6	2
Z. Uehling	1	1	0

Match facts

Tournament

UTR PTT Boca Raton Men 10

Category

Utr

Surface

hard

Court

Rick Macci Tennis Center - Court 10

City

Boca Raton, FL

First serve

Z. Uehling

Total games

12–2

J. Irwanto · match stats · Z. Uehling

1Aces0

2Double faults3

50%First serve in62%

56%First-serve points won42%

93%Second serve in84%

63%Second-serve points won32%

83%Break points saved54%

46%Break points converted17%

62%Return points won41%

32Service points won19

29Receiver points won22

61Total points won41

12Games won2

6Service games won1

0Tiebreaks won0

5Longest point streak3

8Longest game streak1

Per set · aces & double faults

Set	Aces	Double faults
Set 1	0–0	2–2
Set 2	1–0	0–1

Figures read J. Irwanto first.

Set 27 games · newest first

6-1 game 7 Z. Uehling serving BREAK

0-15 15-15 30-15 40-15

5-1 game 6 J. Irwanto serving BREAK

15-0 15-15 15-30 15-40 30-40

5-0 game 5 Z. Uehling serving BREAK

15-0 30-0 40-0 40-15

4-0 game 4 J. Irwanto serving

0-15 15-15 30-15 40-15 40-30

3-0 game 3 Z. Uehling serving BREAK

0-15 15-15 15-30 30-30 30-40 40-40 A-40 40-40 A-40

2-0 game 2 J. Irwanto serving

15-0 15-15 15-30 15-40 30-40 40-40 A-40

1-0 game 1 Z. Uehling serving BREAK

15-0 30-0 30-15 30-30 40-30 40-40 A-40

Set 17 games · newest first

6-1 game 7 J. Irwanto serving

15-0 15-15 15-30 30-30 40-30 40-40 A-40 40-40 A-40

5-1 game 6 Z. Uehling serving BREAK

15-0 30-0 40-0 40-15 40-30

4-1 game 5 J. Irwanto serving

0-15 15-15 30-15 30-30 40-30

3-1 game 4 Z. Uehling serving

0-15 15-15 15-30 15-40 30-40

3-0 game 3 J. Irwanto serving

0-15 15-15 15-30 15-40 30-40 40-40 A-40 40-40 A-40 40-40 A-40

2-0 game 2 Z. Uehling serving BREAK

15-0 15-15 30-15 30-30 40-30 40-40 A-40 40-40 A-40

1-0 game 1 J. Irwanto serving

15-0 15-15 15-30 30-30 40-30

Point chips read J. Irwanto first · highlighted border marks the point winner.

Win probability

J. IrwantoZ. Uehling

50%

Model confidence

Why the model thinks so

Very evenly matched