H2H data updated: 2026-07-18 02:15 UTC
Elina Svitolina vs Nicole Gibbs H2H: 2-1
Elina Svitolina holds a 2–1 lead over Nicole Gibbs in their WTA head-to-head. Across 3 main-draw meetings, Elina Svitolina leads 2–1 on hard courts. Most recently, Nicole Gibbs won the 2017 Hong Kong fourth round W/O.
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UKR
Age 31
Right-Handed
174 cm / 5'9"
H2H
2
–
1
3 main draw meetings
USA
Age 33
Right-Handed
168 cm / 5'6"
H2H Match Log
| Date | Tournament | Category | Round | Surface | Winner | Score | Loser | Match |
|---|---|---|---|---|---|---|---|---|
| Oct 13, 2017* | Hong Kong | WTA 250 | R16 | Hard | Nicole Gibbs | (w/o) | Elina Svitolina | Match data |
| Aug 7, 2015* | Stanford | WTA 500 | R16 | Hard | Elina Svitolina | 6-3 7-6(5) | Nicole Gibbs | Match data |
| Jan 22, 2015* | Australian Open | Grand Slam | R64 | Hard | Elina Svitolina | 7-6(3) 7-6(6) | Nicole Gibbs | Match data |
* Estimated match date where the exact historical date is unavailable.
Career Comparison
| Player | Current | Peak | Pts | Elo | W | L | Win % | GS | 1000 | Finals | 500 | 250 | Titles |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Elina Svitolina | #10 | #3 | 6,085 | 2,143 | 429 | 227 | 65.4% | 0 | 6 | 1 | 4 | 9 | 20 |
| Nicole Gibbs | #175 | #68 | 946 | 1,692 | 37 | 60 | 38.1% | 0 | 0 | 0 | 0 | 0 | 0 |
Career Progression by Age
Seasons are aligned by the age each player spent most of that calendar year. GS and Titles are cumulative career totals through that season.
| Age | Elina Svitolina | Nicole Gibbs | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | W-L | Win % | Rank | Elo | GS | Titles | Yr | W-L | Win % | Rank | Elo | GS | Titles | |
| 17 | 2012 | 0–3 | 0.0% | #131 | 1,465 | 0 | 0 | — | — | — | — | — | — | — |
| 18 | 2013 | 13–19 | 40.6% | #45 | 1,561 | 0 | 1 | — | — | — | — | — | — | — |
| 19 | 2014 | 36–24 | 60.0% | #28 | 1,805 | 0 | 2 | 2012 | 2–4 | 33.3% | #222 | 1,504 | 0 | 0 |
| 20 | 2015 | 40–24 | 62.5% | #19 | 1,788 | 0 | 3 | 2013 | 1–2 | 33.3% | #185 | 1,509 | 0 | 0 |
| 21 | 2016 | 35–21 | 62.5% | #14 | 1,828 | 0 | 4 | 2014 | 5–6 | 45.5% | #96 | 1,549 | 0 | 0 |
| 22 | 2017 | 50–15 | 76.9% | #6 | 1,942 | 0 | 9 | 2015 | 4–11 | 26.7% | #109 | 1,505 | 0 | 0 |
| 23 | 2018 | 44–15 | 74.6% | #4 | 1,983 | 0 | 13 | 2016 | 13–15 | 46.4% | #89 | 1,590 | 0 | 0 |
| 24 | 2019 | 40–22 | 64.5% | #6 | 1,963 | 0 | 13 | 2017 | 7–12 | 36.8% | #109 | 1,580 | 0 | 0 |
| 25 | 2020 | 19–8 | 70.4% | #5 | 1,928 | 0 | 15 | 2018 | 1–6 | 14.3% | #123 | 1,529 | 0 | 0 |
| 26 | 2021 | 34–19 | 64.2% | #15 | 1,900 | 0 | 16 | 2019 | 4–3 | 57.1% | #126 | 1,628 | 0 | 0 |
| 27 | 2022 | 5–8 | 38.5% | #240 | 1,765 | 0 | 16 | 2020 | 0–1 | 0.0% | #172 | 1,606 | 0 | 0 |
| 28 | 2023 | 18–9 | 66.7% | #25 | 1,886 | 0 | 17 | — | — | — | — | — | — | — |
| 29 | 2024 | 27–16 | 62.8% | #23 | 1,906 | 0 | 17 | — | — | — | — | — | — | — |
| 30 | 2025 | 33–14 | 70.2% | #14 | 1,980 | 0 | 18 | — | — | — | — | — | — | — |
| 31 | 2026 | 35–10 | 77.8% | #10 | 2,085 | 0 | 20 | — | — | — | — | — | — | — |