H2H data updated: 2026-09-13 00:00 UTC
Natalia Vikhlyantseva holds a 1–0 lead over Anna-Lena Friedsam in their WTA head-to-head. Across 1 main-draw meeting, Natalia Vikhlyantseva leads 1–0 on hard courts. Most recently, Natalia Vikhlyantseva won the 2015 Shenzhen round of 32 2-6 6-3 6-3.
Want to explore more matchups? Advanced rivalry search lets you browse current and historical rivalries, unbeaten records, or every matchup for a player.
| Player | Score | Player | Match Data | Date | Round | Tournament | Category | Surface |
|---|---|---|---|---|---|---|---|---|
| Natalia Vikhlyantseva | 2-6 6-3 6-3 | Anna-Lena Friedsam | Match data | Jan 8, 2015* | R32 | Shenzhen | International → modern equivalent WTA 250 | Hard |
Estimated match date where the exact historical date is unavailable. Arrows show an edition's recorded category and documented modern equivalent; unresolved editions keep their recorded category. Asterisked totals include editions mapped from documented historical predecessor categories. Mapping details.
| Player | Current | Peak | Pts | Elo | W | L | Win % | GS | 1000 including documented historical predecessor categories | Finals | 500 including documented historical predecessor categories | 250 including documented historical predecessor categories | Titles |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Anna-Lena Friedsam | #253 | #45 | 1,160 | 1,743 | 62 | 83 | 42.8% | 0 | 0 | 0 | 0 | 0 | 0 |
| Natalia Vikhlyantseva | #1,034 | #54 | 1,070 | 1,686 | 34 | 56 | 37.8% | 0 | 0 | 0 | 0 | 0 | 0 |
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 | Anna-Lena Friedsam | Natalia Vikhlyantseva | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | W-L | Win % | Rank | Elo | GS | Titles | Yr | W-L | Win % | Rank | Elo | GS | Titles | |
| 18 | — | — | — | — | — | — | — | 2015 | 1–2 | 33.3% | #237 | 1,499 | 0 | 0 |
| 19 | — | — | — | — | — | — | — | 2016 | 1–2 | 33.3% | #132 | 1,585 | 0 | 0 |
| 20 | 2014 | 7–10 | 41.2% | #85 | 1,539 | 0 | 0 | 2017 | 15–16 | 48.4% | #56 | 1,647 | 0 | 0 |
| 21 | 2015 | 11–14 | 44.0% | #95 | 1,582 | 0 | 0 | 2018 | 5–19 | 20.8% | #134 | 1,567 | 0 | 0 |
| 22 | 2016 | 15–14 | 51.7% | #67 | 1,645 | 0 | 0 | 2019 | 9–10 | 47.4% | #115 | 1,626 | 0 | 0 |
| 23 | 2017 | 0–1 | 0.0% | #507 | 1,601 | 0 | 0 | 2020 | 0–1 | 0.0% | #145 | 1,575 | 0 | 0 |
| 24 | 2018 | 1–2 | 33.3% | #483 | 1,596 | 0 | 0 | 2021 | 3–5 | 37.5% | #195 | 1,543 | 0 | 0 |
| 25 | 2019 | 7–9 | 43.8% | #145 | 1,658 | 0 | 0 | 2022 | 0–1 | 0.0% | #382 | 1,476 | 0 | 0 |
| 26 | 2020 | 5–4 | 55.6% | #111 | 1,646 | 0 | 0 | — | — | — | — | — | — | — |
| 27 | 2021 | 5–11 | 31.2% | #140 | 1,565 | 0 | 0 | — | — | — | — | — | — | — |
| 28 | 2022 | 4–3 | 57.1% | #120 | 1,690 | 0 | 0 | — | — | — | — | — | — | — |
| 29 | 2023 | 7–14 | 33.3% | #135 | 1,605 | 0 | 0 | — | — | — | — | — | — | — |
| 31 | 2025 | 0–1 | 0.0% | #154 | 1,652 | 0 | 0 | — | — | — | — | — | — | — |
Seasons are aligned by the age each player spent most of that calendar year. Results cover completed main-draw matches. Bold green marks the higher win percentage when both players have at least 5 matches on that surface at the aligned age.
| Age | Anna-Lena Friedsam | Natalia Vikhlyantseva | ||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | Hard | Clay | Grass | Carpet | Yr | Hard | Clay | Grass | Carpet | |||||||||||||||||||||||||
| W | L | M | Win % | W | L | M | Win % | W | L | M | Win % | W | L | M | Win % | W | L | M | Win % | W | L | M | Win % | W | L | M | Win % | W | L | M | Win % | |||
| 18 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 2015 | 1 | 2 | 3 | 33.3% | — | — | — | — | — | — | — | — | — | — | — | — |
| 19 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 2016 | 0 | 1 | 1 | 0.0% | — | — | — | — | 1 | 1 | 2 | 50.0% | — | — | — | — |
| 20 | 2014 | 5 | 5 | 10 | 50.0% | 2 | 3 | 5 | 40.0% | 0 | 1 | 1 | 0.0% | 0 | 1 | 1 | 0.0% | 2017 | 10 | 9 | 19 | 52.6% | 1 | 4 | 5 | 20.0% | 4 | 3 | 7 | 57.1% | — | — | — | — |
| 21 | 2015 | 7 | 9 | 16 | 43.8% | 3 | 4 | 7 | 42.9% | 1 | 1 | 2 | 50.0% | — | — | — | — | 2018 | 2 | 8 | 10 | 20.0% | 3 | 8 | 11 | 27.3% | 0 | 3 | 3 | 0.0% | — | — | — | — |
| 22 | 2016 | 6 | 5 | 11 | 54.5% | 4 | 5 | 9 | 44.4% | 5 | 4 | 9 | 55.6% | — | — | — | — | 2019 | 3 | 6 | 9 | 33.3% | 4 | 3 | 7 | 57.1% | 2 | 1 | 3 | 66.7% | — | — | — | — |
| 23 | 2017 | 0 | 1 | 1 | 0.0% | — | — | — | — | — | — | — | — | — | — | — | — | 2020 | 0 | 1 | 1 | 0.0% | — | — | — | — | — | — | — | — | — | — | — | — |
| 24 | 2018 | 1 | 2 | 3 | 33.3% | — | — | — | — | — | — | — | — | — | — | — | — | 2021 | 0 | 1 | 1 | 0.0% | 3 | 4 | 7 | 42.9% | — | — | — | — | — | — | — | — |
| 25 | 2019 | 1 | 2 | 3 | 33.3% | 4 | 4 | 8 | 50.0% | 2 | 3 | 5 | 40.0% | — | — | — | — | 2022 | 0 | 1 | 1 | 0.0% | — | — | — | — | — | — | — | — | — | — | — | — |
| 26 | 2020 | 5 | 3 | 8 | 62.5% | 0 | 1 | 1 | 0.0% | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 27 | 2021 | 3 | 5 | 8 | 37.5% | 2 | 6 | 8 | 25.0% | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 28 | 2022 | 3 | 2 | 5 | 60.0% | 1 | 1 | 2 | 50.0% | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 29 | 2023 | 5 | 8 | 13 | 38.5% | 2 | 4 | 6 | 33.3% | 0 | 2 | 2 | 0.0% | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 31 | 2025 | 0 | 1 | 1 | 0.0% | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Career | — | 36 | 43 | 79 | 45.6% | 18 | 28 | 46 | 39.1% | 8 | 11 | 19 | 42.1% | 0 | 1 | 1 | 0.0% | — | 16 | 29 | 45 | 35.6% | 11 | 19 | 30 | 36.7% | 7 | 8 | 15 | 46.7% | — | — | — | — |
Seasons are aligned by the age each player spent most of that calendar year. Detailed serve and return statistics available for 128/144 of Anna-Lena Friedsam's and 87/90 of Natalia Vikhlyantseva's main draw matches. Sample is shown as matches with detailed serve and return statistics / total main draw matches. Bold green marks the stronger value when both stat samples contain at least 5 matches; lower is better for DFs/M.
| Age | Anna-Lena Friedsam | Natalia Vikhlyantseva | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | Sample | Aces/M | DFs/M | 1st Sv% | 1st Pts% | 2nd Pts% | BP Saved% | BP Conv% | Svc Pts% | Ret Pts% | Yr | Sample | Aces/M | DFs/M | 1st Sv% | 1st Pts% | 2nd Pts% | BP Saved% | BP Conv% | Svc Pts% | Ret Pts% | |
| 18 | — | —/— | — | — | — | — | — | — | — | — | — | 2015 | 3/3 | 4.7 | 5.3 | 57.6% | 66.8% | 39.7% | 54.5% | 48.4% | 54.8% | 40.0% |
| 19 | — | —/— | — | — | — | — | — | — | — | — | — | 2016 | 3/3 | 3.3 | 4.0 | 61.8% | 68.8% | 42.5% | 39.3% | 46.8% | 58.6% | 40.8% |
| 20 | 2014 | 17/17 | 4.1 | 4.2 | 59.9% | 64.7% | 46.0% | 49.9% | 55.8% | 56.9% | 42.6% | 2017 | 30/31 | 3.2 | 3.8 | 61.4% | 66.1% | 45.6% | 56.5% | 47.6% | 57.8% | 42.1% |
| 21 | 2015 | 13/25 | 3.2 | 4.8 | 62.7% | 64.0% | 48.7% | 45.1% | 40.6% | 58.1% | 40.1% | 2018 | 22/24 | 2.6 | 4.1 | 62.1% | 62.5% | 43.8% | 52.1% | 41.2% | 55.1% | 40.2% |
| 22 | 2016 | 29/29 | 4.1 | 2.7 | 64.0% | 66.8% | 48.7% | 55.2% | 47.6% | 60.2% | 38.8% | 2019 | 19/19 | 1.5 | 5.7 | 61.9% | 65.1% | 46.0% | 61.8% | 52.2% | 57.8% | 44.0% |
| 23 | 2017 | 1/1 | 1.0 | 1.0 | 66.2% | 51.0% | 50.0% | 61.5% | 66.7% | 50.6% | 39.1% | 2020 | 1/1 | 1.0 | 8.0 | 59.2% | 61.9% | 48.3% | 50.0% | 25.0% | 56.3% | 39.7% |
| 24 | 2018 | 3/3 | 0.7 | 3.3 | 67.6% | 52.3% | 49.5% | 65.9% | 60.0% | 52.0% | 37.7% | 2021 | 8/8 | 1.6 | 8.0 | 59.1% | 62.9% | 37.0% | 54.6% | 49.3% | 52.8% | 46.4% |
| 25 | 2019 | 16/16 | 1.4 | 3.6 | 67.0% | 62.6% | 46.2% | 56.0% | 50.1% | 56.9% | 39.8% | 2022 | 1/1 | 2.0 | 6.0 | 59.5% | 50.0% | 33.3% | 20.0% | 20.0% | 43.2% | 35.0% |
| 26 | 2020 | 9/9 | 2.3 | 2.4 | 69.6% | 67.9% | 51.0% | 45.4% | 37.7% | 62.7% | 43.3% | — | —/— | — | — | — | — | — | — | — | — | — |
| 27 | 2021 | 14/16 | 3.4 | 3.6 | 64.3% | 63.5% | 43.8% | 55.2% | 37.7% | 56.5% | 39.4% | — | —/— | — | — | — | — | — | — | — | — | — |
| 28 | 2022 | 5/7 | 4.4 | 4.4 | 66.0% | 62.0% | 45.6% | 57.1% | 64.1% | 56.3% | 41.2% | — | —/— | — | — | — | — | — | — | — | — | — |
| 29 | 2023 | 21/21 | 3.3 | 3.0 | 66.8% | 62.2% | 45.3% | 54.4% | 54.5% | 56.6% | 42.0% | — | —/— | — | — | — | — | — | — | — | — | — |
| Career | — | 128/145 | 3.3 | 3.4 | 64.8% | 64.0% | 47.0% | 53.1% | 48.7% | 57.9% | 40.5% | — | 87/90 | 2.5 | 4.8 | 61.3% | 64.5% | 44.0% | 55.2% | 46.6% | 56.4% | 42.2% |
Seasons are aligned by the age each player spent most of that calendar year. Metrics use eligible main-draw results; point statistics use matches with detailed data. Bold green marks the stronger value when both underlying samples are sufficient. Lower is better for Schedule because a negative value means a tougher schedule. Career Schedule is normalized per 100 matches.
| Age | Anna-Lena Friedsam | Natalia Vikhlyantseva | ||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | Elo | P+ | Serve+ | Return+ | PD | TPW% | Hard Elo | Clay Elo | Grass Elo | Set Win % | Set Margin | Dec. Set | Tiebreak | Pressure+ | Schedule | Yr | Elo | P+ | Serve+ | Return+ | PD | TPW% | Hard Elo | Clay Elo | Grass Elo | Set Win % | Set Margin | Dec. Set | Tiebreak | Pressure+ | Schedule | |
| 18 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 2015 | 1500 | 106.1 | -1.22 | +0.71 | 0.886 | 47.9% | +20 | — | — | 37.5% | -0.75 | 1–1 | — | — | -0.10 |
| 19 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 2016 | 1585 | 110.1 | +1.88 | -1.70 | 0.986 | 49.6% | — | — | — | 42.9% | -0.43 | 0–1 | — | — | -0.10 |
| 20 | 2014 | 1539 | 113.8 | +0.51 | -1.51 | 0.986 | 49.8% | +15 | 0 | — | 43.9% | -0.29 | 3–4 (43%) | 3–3 (50%) | 100.5 | -0.25 | 2017 | 1648 | 124.3 | +1.14 | -1.22 | 0.998 | 50.0% | +5 | -174 | +30 | 48.5% | +0.01 | 3–5 (38%) | 3–3 (50%) | 98.7 | +0.61 |
| 21 | 2015 | 1583 | 117.4 | -0.11 | -1.37 | 0.957 | 49.5% | +1 | -45 | — | 45.6% | -0.30 | 5–4 (56%) | 0–3 (0%) | 100.4 | +0.50 | 2018 | 1568 | 117.8 | -1.37 | -1.37 | 0.894 | 47.8% | +20 | -72 | +61 | 28.3% | -1.19 | 0–5 (0%) | 1–5 (17%) | 91.0 | -1.34 |
| 22 | 2016 | 1646 | 122.7 | +3.29 | -3.20 | 0.976 | 49.4% | -4 | -78 | -8 | 49.2% | -0.24 | 4–3 (57%) | 4–5 (44%) | 101.2 | -0.35 | 2019 | 1626 | 125.8 | -0.20 | +0.37 | 1.042 | 51.2% | -7 | -45 | +34 | 50.0% | +0.33 | 3–5 (38%) | 1–3 (25%) | — | +0.34 |
| 23 | 2017 | 1602 | 95.5 | -1.10 | -1.20 | 0.792 | 45.4% | — | — | — | 0.0% | -3.00 | — | — | — | +0.11 | 2020 | 1575 | 106.6 | -0.44 | +0.12 | 0.910 | 47.7% | — | — | — | 0.0% | -2.50 | — | 0–1 | — | +0.30 |
| 24 | 2018 | 1596 | 106.9 | +0.57 | +0.53 | 0.785 | 45.3% | -6 | — | — | 28.6% | -1.57 | 1–0 | 1–0 | — | -0.15 | 2021 | 1543 | 101.7 | -1.92 | +0.59 | 0.983 | 49.5% | — | +35 | — | 42.1% | -0.31 | 1–2 (33%) | — | — | +0.47 |
| 25 | 2019 | 1658 | 119.7 | +0.76 | -1.59 | 0.922 | 48.6% | -69 | +3 | -16 | 50.0% | -0.06 | 2–4 (33%) | 2–1 (67%) | — | -1.03 | 2022 | 1477 | 94.3 | -2.22 | -0.26 | 0.617 | 39.0% | — | — | — | — | — | — | — | — | +0.20 |
| 26 | 2020 | 1647 | 124.1 | +2.54 | -0.84 | 1.162 | 51.8% | -15 | — | — | 54.5% | +0.46 | 2–2 (50%) | 1–1 | — | +0.27 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 27 | 2021 | 1566 | 109.4 | -0.41 | -3.05 | 0.906 | 48.0% | +7 | +39 | — | 34.2% | -0.76 | 3–3 (50%) | 1–3 (25%) | 98.7 | +0.82 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 28 | 2022 | 1691 | 113.4 | -0.02 | -1.40 | 0.944 | 49.3% | -36 | — | — | 47.4% | -0.58 | 4–1 (80%) | 2–0 | — | -0.07 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 29 | 2023 | 1606 | 124.0 | -0.63 | -1.56 | 0.967 | 49.4% | +15 | +85 | — | 41.2% | -0.39 | 2–7 (22%) | 1–6 (14%) | 88.8 | -0.94 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 30 | 2024 | 1545 | 100.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 31 | 2025 | 1653 | 102.6 | — | — | — | — | — | — | — | 0.0% | -4.00 | — | — | — | 0.00 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 32 | 2026 | 1557 | 104.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Career | — | 1743 | 121.9 | +0.93 | -1.96 | 0.963 | 49.2% | -2 | -4 | -11 | 44.4% | -0.36 | 26–28 (48%) | 15–22 (41%) | 98.5 | -0.75 | — | 1686 | 120.5 | -0.18 | -0.67 | 0.968 | 49.4% | +7 | -58 | +38 | 41.9% | -0.33 | 8–19 (30%) | 5–12 (29%) | 89.4 | +0.43 |
Each player's five most-played main-draw opponents. The current matchup is highlighted when it appears in a player's top five.
| Opponent | W | L | M | Last Played | H2H |
|---|---|---|---|---|---|
| Stefanie Voegele | 2 | 2 | 4 | Jul 25, 2019 | H2H |
| Angelique Kerber | 0 | 3 | 3 | Sep 3, 2020 | H2H |
| Daria Kasatkina | 1 | 2 | 3 | Mar 7, 2020 | H2H |
| Margarita Gasparyan | 2 | 1 | 3 | Jul 3, 2019 | H2H |
| Kiki Bertens | 0 | 3 | 3 | Jun 28, 2019 | H2H |
| Opponent | W | L | M | Last Played | H2H |
|---|---|---|---|---|---|
| Julia Goerges | 0 | 4 | 4 | Aug 28, 2019 | H2H |
| Alizé Cornet | 1 | 2 | 3 | Jul 20, 2019 | H2H |
| Daria Saville | 1 | 1 | 2 | Jul 19, 2019 | H2H |
| Kiki Bertens | 0 | 2 | 2 | Jun 15, 2019 | H2H |
| Kristyna Pliskova | 1 | 1 | 2 | May 1, 2019 | H2H |