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W25 Spring Women ITF Women - Singles - USA 2023
ITF Women - Singles W25 Spring is a tennis tournament played in USA. There are 34 players competing in the 2023 Women season. Among the players competing in the W25 Spring are Lisa-Marie Rioux, Y. Starodubtseva, Victoria Hu, S. Ishii. Browse below for the W25 Spring match results and fixtures, tennis trends or over/under number of games among other various statistics like 1st Set win sequence or set winning averages.
Final
Semi Finals
Quarter Finals
Round 2
Round 1
Trends
 I. . Jovic has won 100.00% of sets played in all W25 Spring matchesMaria Kononova has won 85.71% of sets played in all W25 Spring matches Maria Mateas has won 81.82% of sets played in all W25 Spring matches Y. Starodubtseva has won all 1st sets in the last 4 matches played at W25 Spring
Players – Set Performance
Data in above table is calculated for Set Performance as number of sets won minus number of sets lost along the tournament.
Over/Under
| Matches of... |
Total games score (player + opponent)
|
|
Avg.
| over 22.5 |
|
Alanis Hamilton
|
17.50
|
0.00
%
|
|
Allura Zamarripa
|
21.00
|
0.00
%
|
|
Amy Zhu
|
5.00
|
0.00
%
|
|
B. Murgett
|
15.00
|
0.00
%
|
|
Clervie Ngounoue
|
18.00
|
0.00
%
|
|
Eleana Yu
|
15.50
|
0.00
%
|
|
G. Broadfoot
|
28.00
|
100.00
%
|
|
Grace Min
|
18.00
|
0.00
%
|
|
I. . Jovic
|
15.00
|
0.00
%
|
|
I. Jovic
|
29.00
|
100.00
%
|
|
Jade Otway
|
11.00
|
0.00
%
|
|
Jenna Defalco
|
15.00
|
0.00
%
|
|
Jessica Hinojosa Gomez
|
15.00
|
0.00
%
|
|
Jia-Jing Lu
|
21.50
|
25.00
%
|
|
Kylie Collins
|
17.00
|
0.00
%
|
|
Lisa-Marie Rioux
|
15.00
|
0.00
%
|
|
M. Okalova
|
29.00
|
100.00
%
|
|
Maria Kononova
|
17.75
|
25.00
%
|
|
Maria Mateas
|
20.20
|
40.00
%
|
|
Mccartney Kessler
|
23.00
|
50.00
%
|
|
Michaela Bayerlova
|
35.00
|
100.00
%
|
|
Raveena Kingsley
|
21.67
|
33.33
%
|
|
Rhiann Newborn
|
20.00
|
50.00
%
|
|
S. Ishii
|
26.00
|
100.00
%
|
|
Shannon Lam
|
29.50
|
100.00
%
|
|
T. C. Grant
|
17.00
|
0.00
%
|
|
T. Lemaitre
|
18.00
|
0.00
%
|
|
Tessah Andrianjafitrimo
|
29.00
|
100.00
%
|
|
Tiphanie Lemaitre
|
28.00
|
100.00
%
|
|
Tom Evans
|
19.00
|
0.00
%
|
|
V. Miroshnichenko
|
24.67
|
66.67
%
|
|
Victoria Hu
|
29.00
|
100.00
%
|
|
Y. Starodubtseva
|
16.20
|
20.00
%
|
|
Tournament Avg.
| |
36.67%
|
Data in above table is calculated from finished matches only.
Clean Sheets
| Player Name |
CS
|
Pld
|
Perc.
|
| Maria Mateas |
4
|
5
|
80.00%
|
| Y. Starodubtseva |
3
|
5
|
60.00%
|
| Clervie Ngounoue |
2
|
3
|
66.67%
|
| Jia-Jing Lu |
2
|
4
|
50.00%
|
| Alanis Hamilton |
1
|
2
|
50.00%
|
| Eleana Yu |
1
|
2
|
50.00%
|
| I. . Jovic |
1
|
1
|
100.00%
|
| Jade Otway |
1
|
2
|
50.00%
|
| Maria Kononova |
1
|
2
|
50.00%
|
| Raveena Kingsley |
1
|
3
|
33.33%
|
| T. Lemaitre |
1
|
2
|
50.00%
|
| V. Miroshnichenko |
1
|
3
|
33.33%
|
| Allura Zamarripa |
0
|
1
|
0.00%
|
| Amy Zhu |
0
|
1
|
0.00%
|
| B. Murgett |
0
|
1
|
0.00%
|
| G. Broadfoot |
0
|
1
|
0.00%
|
| Grace Min |
0
|
1
|
0.00%
|
| I. Jovic |
0
|
1
|
0.00%
|
| Jenna Defalco |
0
|
1
|
0.00%
|
| Jessica Hinojosa Gomez |
0
|
1
|
0.00%
|
| Kylie Collins |
0
|
1
|
0.00%
|
| Lisa-Marie Rioux |
0
|
1
|
0.00%
|
| M. Okalova |
0
|
1
|
0.00%
|
| Mccartney Kessler |
0
|
1
|
0.00%
|
| Michaela Bayerlova |
0
|
1
|
0.00%
|
| Rhiann Newborn |
0
|
2
|
0.00%
|
| S. Ishii |
0
|
1
|
0.00%
|
| Shannon Lam |
0
|
2
|
0.00%
|
| T. C. Grant |
0
|
1
|
0.00%
|
| Tessah Andrianjafitrimo |
0
|
1
|
0.00%
|
| Tiphanie Lemaitre |
0
|
1
|
0.00%
|
| Tom Evans |
0
|
1
|
0.00%
|
| Victoria Hu |
0
|
1
|
0.00%
|
Data in above table lists the number of clean sheets (matches with no lost sets) out of total matches played by each player in this tournament. All finished and retired matches are counted towards these statistics.
Form – Win Sequences
| Player Name | Win 1st Set | Set Win% |
| Alanis Hamilton | 0 |
50.00%
|
| Allura Zamarripa | 0 |
0.00%
|
| B. Murgett | 0 |
0.00%
|
| Clervie Ngounoue | 0 |
71.43%
|
| Eleana Yu | 0 |
50.00%
|
| G. Broadfoot | 1 |
33.33%
|
| Grace Min | 0 |
0.00%
|
| I. . Jovic | 1 |
100.00%
|
| I. Jovic | 1 |
33.33%
|
| Jade Otway | 0 |
0.00%
|
| Jenna Defalco | 0 |
0.00%
|
| Jessica Hinojosa Gomez | 0 |
0.00%
|
| Jia-Jing Lu | 0 |
66.67%
|
| Kylie Collins | 0 |
0.00%
|
| Lisa-Marie Rioux | 0 |
0.00%
|
| M. Okalova | 1 |
33.33%
|
| Maria Kononova | 1 |
85.71%
|
| Maria Mateas | 0 |
81.82%
|
| Mccartney Kessler | 0 |
40.00%
|
| Michaela Bayerlova | 1 |
33.33%
|
| Raveena Kingsley | 0 |
57.14%
|
| Rhiann Newborn | 0 |
40.00%
|
| S. Ishii | 0 |
33.33%
|
| Shannon Lam | 0 |
50.00%
|
| T. C. Grant | 0 |
0.00%
|
| T. Lemaitre | 0 |
50.00%
|
| Tessah Andrianjafitrimo | 0 |
33.33%
|
| Tiphanie Lemaitre | 0 |
66.67%
|
| Tom Evans | 0 |
0.00%
|
| V. Miroshnichenko | 0 |
57.14%
|
| Victoria Hu | 0 |
33.33%
|
| Y. Starodubtseva | 4 |
80.00%
|
Data in above table lists consecutive 1st Set wins by each player. When 1st Set is lost, data is reset. Set Win percentage shows the winning percentage out of total sets played by each player in this tournament. All finished and retired matches are counted towards these statistics.
The statistics for the tennis tournament W25 Spring are updated regularly, as games are played and results are processed. Data shown in these statistics is organized to make it easy to identify tournament trends and probabilities for future tennis games, something that TennisStats247 system uses to calculate the predictions for ITF Women - Singles W25 Spring. The Predictions section comes with updated daily tips as our algorithm calculates probabilities for various outcomes in tennis games and it improves as more tennis statistics are available from matches played.
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