Nikita Desai vs Mahta Khanloo — score & stats

Set by set

Player	Set 1	Set 2	Sets
N. Desai	1	1	0
M. Khanloo	6	6	2

Match facts

Tournament

UTR PTT Melbourne Women 03

N. Desai

L J. Adams 0–2 L S. Savic 0–2 L L. Gale 0–2 W Z. Ilitch 2–0 L L. Weir 0–2

M. Khanloo

W A. Mancini 2–1 L A. Mancini 0–1 L G. Ruhrig 0–2 W L. Weir 2–0 L A. Beck 0–2

N. Desai · match stats · M. Khanloo

1Aces0

6Double faults2

63%First serve in45%

40%First-serve points won58%

76%Second serve in91%

32%Second-serve points won65%

63%Break points saved50%

50%Break points converted37%

38%Return points won63%

25Service points won26

16Receiver points won43

41Total points won67

2Games won12

0Service games won5

0Tiebreaks won0

5Longest point streak9

1Longest game streak7

Per set · aces & double faults

Set	Aces	Double faults
Set 1	0–0	1–2
Set 2	1–0	5–0

Figures read N. Desai first.

Set 27 games · newest first

1-6 game 7 N. Desai serving BREAK

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

1-5 game 6 M. Khanloo serving

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

1-4 game 5 N. Desai serving BREAK

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

1-3 game 4 M. Khanloo serving

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

1-2 game 3 N. Desai serving BREAK

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

1-1 game 2 M. Khanloo serving BREAK

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

0-1 game 1 N. Desai serving BREAK

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

Set 17 games · newest first

1-6 game 7 M. Khanloo serving

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

1-5 game 6 N. Desai serving BREAK

0-15 0-30 0-40

1-4 game 5 M. Khanloo serving

0-15 0-30 0-40

1-3 game 4 N. Desai serving BREAK

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

1-2 game 3 M. Khanloo serving

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

1-1 game 2 N. Desai serving BREAK

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

1-0 game 1 M. Khanloo serving BREAK

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

Point chips read N. Desai first · highlighted border marks the point winner.

Win probability

N. DesaiM. Khanloo

50%

Model confidence

Why the model thinks so

Very evenly matched