Results
| Date | R | Home vs Away | - |
|---|---|---|---|
| 03/09 04:30 | - |
Kristina Dmitruk vs Ekaterina Vl. Makarova
|
6-3,6-2 |
| 03/08 06:56 | - |
[263] Kristina Dmitruk vs Ikumi Yamazaki
[483] |
6-4,5-0 |
| 03/08 04:30 | - |
Antonia Schmidt vs Ekaterina Vl. Makarova
|
6-7,3-6 |
| 03/07 05:30 | - | [487] Antonia Schmidt vs Polina Iatcenko [433] | 6-4,6-2 |
| 03/07 05:30 | - |
[252] Haruka Kaji vs Ikumi Yamazaki
[483] |
4-6,7-5,5-7 |
| 03/06 09:00 | - |
[294] Ankita Raina vs Zeel Desai
[485] 
|
6-3,3-6,4-6 |
| 03/06 06:00 | - |
[483] Ikumi Yamazaki vs Amandine Hesse
[272] 
|
7-6,6-3 |
| 03/06 04:30 | - |
[252] Haruka Kaji vs Sohyun Park
[316] 
|
7-5,6-1 |
| 03/06 04:30 | - |
[433] Polina Iatcenko vs Mei Yamaguchi
[261] 
|
6-2,6-2 |
| 03/06 04:30 | - |
[362] Daria Kudashova vs Kristina Dmitruk
[263]
|
3-6,0-6 |
| 03/05 08:52 | - |
[294] Ankita Raina vs Riya Bhatia
[296] 
|
5-7,6-3,6-2 |
| 03/05 08:11 | - |
[423] Thasaporn Naklo vs Rinon Okuwaki
[311] |
3-6,6-4,2-6 |
Teams
Ikumi Yamazaki
Rinon Okuwaki
Ankita Raina
Justina Mikulskyte
Michika Ozeki
Yeon Woo Ku
Ekaterina Kazionova
Zeel Desai
Dalila Jakupovic
Kristina Dmitruk
Zhibek Kulambayeva
Antonia Schmidt
Daria Kudashova
Haruka Kaji
Pooja Ingale
Riya Bhatia
Jacqueline Cabaj Awad
Polina Iatcenko
Ekaterina Reyngold
Humera Baharmus
Prathyusha Rachapudi
Ekaterina Vl. Makarova
Clara Vlasselaer
Shria Atturu
Richa Dadasaheb Chougule
Saumya Vig
Yubarani Banerjee
Amandine Hesse
Ekaterina Yashina
Sohyun Park
Anastasia Gasanova
Mei Yamaguchi
Sowjanya Bavisetti
Fanny Ostlund
Diana Marcinkevica
Akiko Omae
Yasmine Mansouri
Snehal Mane
Honoka Kobayashi
Vaidehi Chaudhari
Funa Kozaki
Sharrmadaa Baluu
Kira Pavlova
Arthi Muniyan
Smriti Bhasin
Jigyasa Narsinghani
Kashish Bhatia
Thasaporn Naklo
Ranah Akua Stoiber
Ayumi Koshiishi
Ankita Raina
Justina Mikulskyte
Michika Ozeki
Yeon Woo Ku
Ekaterina Kazionova
Zeel Desai
Dalila Jakupovic
Kristina Dmitruk
Zhibek Kulambayeva
Antonia Schmidt
Daria Kudashova
Haruka Kaji
Pooja Ingale
Riya Bhatia
Jacqueline Cabaj Awad
Polina Iatcenko
Ekaterina Reyngold
Humera Baharmus
Prathyusha Rachapudi
Ekaterina Vl. Makarova
Clara Vlasselaer
Shria Atturu
Richa Dadasaheb Chougule
Saumya Vig
Yubarani Banerjee
Amandine Hesse
Ekaterina Yashina
Sohyun Park
Anastasia Gasanova
Mei Yamaguchi
Sowjanya Bavisetti
Fanny Ostlund
Diana Marcinkevica
Akiko Omae
Yasmine Mansouri
Snehal Mane
Honoka Kobayashi
Vaidehi Chaudhari
Funa Kozaki
Sharrmadaa Baluu
Kira Pavlova
Arthi Muniyan
Smriti Bhasin
Jigyasa Narsinghani
Kashish Bhatia
Thasaporn Naklo
Ranah Akua Stoiber
Ayumi Koshiishi
**Ultimate Data Guide: ITF W35 Gurugram | Your Analytical Edge**
Welcome to the definitive data hub for the ITF W35 Gurugram tournament. As a premier event on the ITF Women's World Tennis Tour, this tournament is a critical proving ground for emerging talent and a key opportunity for data-driven insights. This guide equips fans, scouts, and bettors with the analytical framework to understand the narratives beyond the scoreline.
**Tournament Profile & Context**
The "W35" designation signifies a professional tournament with $35,000 in prize money, attracting a mix of players ranked inside the WTA Top 250 and ambitious contenders seeking ranking points. Held in Gurugram, India, environmental factors are key: expect slow to medium-paced hard courts, often under challenging heat and humidity. Historical data shows these conditions favor players with exceptional physical conditioning, consistent baseline endurance, and strategic point construction over sheer power.
**Key Data Points to Track**
1. **Player Form & Surface Correlation:** Don't just examine win/loss records. Scrutinize performance on **hard courts over the last 52 weeks**. A player’s hold/break percentage on this surface is more predictive than overall rank.
2. **Momentum Metrics:** Analyze **first-serve win percentage** and **break points saved/converted** from recent matches. In a packed draw with potential for quick turnarounds, players carrying positive momentum in these clutch categories hold a significant advantage.
3. **Draw Analysis:** The ITF circuit is defined by volatility. Use data to identify dangerous floaters—players with a high **ace rate** or a dominant **return games won percentage** can upset seeding. Pay close attention to qualifiers, who enter the main draw with match rhythm and adapted court conditions.
**SEO & Strategic Insight for Enthusiasts**
For those looking to deepen their engagement, target these long-tail keyword searches: "ITF Gurugram hard court specialists," "W35 Gurugram player stats," and "rising players ITF India tour." Our proprietary models cross-reference historical performance, real-time analytics, and environmental data to provide unparalleled previews.
**Why This Data Matters**
Success at the ITF level is built on marginal gains. Understanding a player's service grip efficiency on high-bounce courts or their win rate in third-set tiebreaks can reveal true potential. This tournament is a talent incubator; the players you analyze here are future WTA mainstays.
Bookmark this page. We provide live point-by-point analytics, post-match report cards with advanced metrics, and draw projections updated daily. Transform your viewing from passive to predictive with the power of sports data.
*Data drives the game. We drive the analysis.*
Welcome to the definitive data hub for the ITF W35 Gurugram tournament. As a premier event on the ITF Women's World Tennis Tour, this tournament is a critical proving ground for emerging talent and a key opportunity for data-driven insights. This guide equips fans, scouts, and bettors with the analytical framework to understand the narratives beyond the scoreline.
**Tournament Profile & Context**
The "W35" designation signifies a professional tournament with $35,000 in prize money, attracting a mix of players ranked inside the WTA Top 250 and ambitious contenders seeking ranking points. Held in Gurugram, India, environmental factors are key: expect slow to medium-paced hard courts, often under challenging heat and humidity. Historical data shows these conditions favor players with exceptional physical conditioning, consistent baseline endurance, and strategic point construction over sheer power.
**Key Data Points to Track**
1. **Player Form & Surface Correlation:** Don't just examine win/loss records. Scrutinize performance on **hard courts over the last 52 weeks**. A player’s hold/break percentage on this surface is more predictive than overall rank.
2. **Momentum Metrics:** Analyze **first-serve win percentage** and **break points saved/converted** from recent matches. In a packed draw with potential for quick turnarounds, players carrying positive momentum in these clutch categories hold a significant advantage.
3. **Draw Analysis:** The ITF circuit is defined by volatility. Use data to identify dangerous floaters—players with a high **ace rate** or a dominant **return games won percentage** can upset seeding. Pay close attention to qualifiers, who enter the main draw with match rhythm and adapted court conditions.
**SEO & Strategic Insight for Enthusiasts**
For those looking to deepen their engagement, target these long-tail keyword searches: "ITF Gurugram hard court specialists," "W35 Gurugram player stats," and "rising players ITF India tour." Our proprietary models cross-reference historical performance, real-time analytics, and environmental data to provide unparalleled previews.
**Why This Data Matters**
Success at the ITF level is built on marginal gains. Understanding a player's service grip efficiency on high-bounce courts or their win rate in third-set tiebreaks can reveal true potential. This tournament is a talent incubator; the players you analyze here are future WTA mainstays.
Bookmark this page. We provide live point-by-point analytics, post-match report cards with advanced metrics, and draw projections updated daily. Transform your viewing from passive to predictive with the power of sports data.
*Data drives the game. We drive the analysis.*