Claire Reifeiss vs Kayla Brianne Moore — score & stats

Set by set

Player	Set 1	Set 2	Sets
C. Reifeiss	3	2	0
K. Moore	6	6	2

Momentum — game by game, ● = break

▲ C. Reifeiss ▼ K. Moore

Match facts

Tournament

UTR Newport Beach W02

C. Reifeiss

L A. Vustsina 0–2 L J. Mcbride 0–2

K. Moore

L S. Khatamova 0–2

C. Reifeiss · match stats · K. Moore

0Aces1

1Double faults5

69%First serve in58%

52%First-serve points won71%

93%Second serve in81%

36%Second-serve points won59%

0%Break points saved88%

13%Break points converted100%

34%Return points won53%

21Service points won43

22Receiver points won24

43Total points won67

5Games won12

4Service games won8

0Tiebreaks won0

5Longest point streak11

3Longest game streak5

Per set · aces & double faults

Set	Aces	Double faults
Set 1	0–0	1–3
Set 2	0–1	0–2

Figures read C. Reifeiss first.

Set 28 games · newest first

2-6 game 8 K. Moore serving

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

2-5 game 7 C. Reifeiss serving

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

1-5 game 6 K. Moore serving

0-15 0-30 0-40

1-4 game 5 C. Reifeiss serving BREAK

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

1-3 game 4 K. Moore serving

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

1-2 game 3 C. Reifeiss serving

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

0-2 game 2 K. Moore serving

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

0-1 game 1 C. Reifeiss serving BREAK

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

Set 19 games · newest first

3-6 game 9 K. Moore serving

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

3-5 game 8 C. Reifeiss serving

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

2-5 game 7 K. Moore serving BREAK

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

1-5 game 6 C. Reifeiss serving

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

0-5 game 5 K. Moore serving

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

0-4 game 4 C. Reifeiss serving BREAK

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

0-3 game 3 K. Moore serving

0-15 0-30 0-40

0-2 game 2 C. Reifeiss serving BREAK

0-15 0-30 0-40

0-1 game 1 K. Moore serving

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

Point chips read C. Reifeiss first · highlighted border marks the point winner.

Win probability

C. ReifeissK. Moore

50%

Model confidence

Why the model thinks so

Very evenly matched