H2H data updated: 2026-09-13 00:00 UTC
Jessica Pegula and Naomi Osaka are tied 1–1 in their WTA head-to-head. Across 2 main-draw meetings, Jessica Pegula leads 1–0 on clay, while Naomi Osaka leads 1–0 on hard courts. Most recently, Jessica Pegula won the 2021 Italian Open second round 7-6(2) 6-2.
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 |
|---|---|---|---|---|---|---|---|---|
| Jessica Pegula | 7-6(2) 6-2 | Naomi Osaka | Match data | May 13, 2021* | R32 | Italian Open | WTA 1000 | Clay |
| Naomi Osaka | 6-3 7-6(5) | Jessica Pegula | Match data | Sep 29, 2019 | R64 | China Open | Premier Mandatory → modern equivalent WTA 1000 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jessica Pegula | #3 | #3 | 7,265 | 2,166 | 304 | 140 | 68.5% | 0 | 4 | 0 | 4 | 3 | 11 |
| Naomi Osaka | #13 | #1 | 7,985 | 2,179 | 251 | 136 | 64.9% | 4 | 2 | 0 | 1 | 1 | 8 |
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 | Jessica Pegula | Naomi Osaka | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | W-L | Win % | Rank | Elo | GS | Titles | Yr | W-L | Win % | Rank | Elo | GS | Titles | |
| 16 | — | — | — | — | — | — | — | 2014 | 2–2 | 50.0% | #260 | 1,530 | 0 | 0 |
| 17 | — | — | — | — | — | — | — | 2015 | 0–2 | 0.0% | #144 | 1,508 | 0 | 0 |
| 18 | 2012 | 0–2 | 0.0% | #150 | 1,478 | 0 | 0 | 2016 | 20–13 | 60.6% | #48 | 1,700 | 0 | 0 |
| 19 | 2013 | 2–4 | 33.3% | #203 | 1,489 | 0 | 0 | 2017 | 19–22 | 46.3% | #68 | 1,695 | 0 | 0 |
| 20 | — | — | — | — | — | — | — | 2018 | 40–20 | 66.7% | #5 | 1,902 | 1 | 2 |
| 21 | 2015 | 2–4 | 33.3% | #155 | 1,484 | 0 | 0 | 2019 | 40–13 | 75.5% | #3 | 2,047 | 2 | 5 |
| 22 | 2016 | 5–3 | 62.5% | #167 | 1,518 | 0 | 0 | 2020 | 16–3 | 84.2% | #3 | 2,111 | 3 | 6 |
| 23 | 2017 | 0–1 | 0.0% | #627 | 1,500 | 0 | 0 | 2021 | 20–8 | 71.4% | #13 | 2,040 | 4 | 7 |
| 24 | 2018 | 4–1 | 80.0% | #111 | 1,608 | 0 | 0 | 2022 | 15–11 | 57.7% | #42 | 1,933 | 4 | 7 |
| 25 | 2019 | 9–13 | 40.9% | #83 | 1,634 | 0 | 1 | — | — | — | — | — | — | — |
| 26 | 2020 | 10–6 | 62.5% | #63 | 1,788 | 0 | 1 | 2024 | 21–17 | 55.3% | #57 | 1,872 | 4 | 7 |
| 27 | 2021 | 38–19 | 66.7% | #18 | 1,925 | 0 | 1 | 2025 | 31–14 | 68.9% | #16 | 1,965 | 4 | 8 |
| 28 | 2022 | 42–20 | 67.7% | #3 | 1,975 | 0 | 2 | 2026 | 27–11 | 71.1% | #13 | 2,052 | 4 | 8 |
| 29 | 2023 | 54–17 | 76.1% | #5 | 2,084 | 0 | 4 | — | — | — | — | — | — | — |
| 30 | 2024 | 36–16 | 69.2% | #7 | 2,026 | 0 | 6 | — | — | — | — | — | — | — |
| 31 | 2025 | 52–21 | 71.2% | #6 | 2,057 | 0 | 9 | — | — | — | — | — | — | — |
| 32 | 2026 | 50–13 | 79.4% | #3 | 2,140 | 0 | 11 | — | — | — | — | — | — | — |
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 | Jessica Pegula | Naomi Osaka | ||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | Hard | Clay | Grass | Yr | Hard | Clay | Grass | |||||||||||||||||||
| W | L | M | Win % | W | L | M | Win % | W | L | M | Win % | W | L | M | Win % | W | L | M | Win % | W | L | M | Win % | |||
| 16 | — | — | — | — | — | — | — | — | — | — | — | — | — | 2014 | 2 | 2 | 4 | 50.0% | — | — | — | — | — | — | — | — |
| 17 | — | — | — | — | — | — | — | — | — | — | — | — | — | 2015 | 0 | 2 | 2 | 0.0% | — | — | — | — | — | — | — | — |
| 18 | 2012 | 0 | 2 | 2 | 0.0% | — | — | — | — | — | — | — | — | 2016 | 18 | 11 | 29 | 62.1% | 2 | 2 | 4 | 50.0% | — | — | — | — |
| 19 | 2013 | 0 | 2 | 2 | 0.0% | 2 | 2 | 4 | 50.0% | — | — | — | — | 2017 | 13 | 13 | 26 | 50.0% | 2 | 5 | 7 | 28.6% | 4 | 4 | 8 | 50.0% |
| 20 | — | — | — | — | — | — | — | — | — | — | — | — | — | 2018 | 29 | 13 | 42 | 69.0% | 5 | 4 | 9 | 55.6% | 6 | 3 | 9 | 66.7% |
| 21 | 2015 | 2 | 2 | 4 | 50.0% | 0 | 1 | 1 | 0.0% | 0 | 1 | 1 | 0.0% | 2019 | 30 | 7 | 37 | 81.1% | 9 | 4 | 13 | 69.2% | 1 | 2 | 3 | 33.3% |
| 22 | 2016 | 5 | 3 | 8 | 62.5% | — | — | — | — | — | — | — | — | 2020 | 16 | 3 | 19 | 84.2% | — | — | — | — | — | — | — | — |
| 23 | 2017 | 0 | 1 | 1 | 0.0% | — | — | — | — | — | — | — | — | 2021 | 18 | 5 | 23 | 78.3% | 2 | 3 | 5 | 40.0% | — | — | — | — |
| 24 | 2018 | 4 | 1 | 5 | 80.0% | — | — | — | — | — | — | — | — | 2022 | 14 | 9 | 23 | 60.9% | 1 | 2 | 3 | 33.3% | — | — | — | — |
| 25 | 2019 | 6 | 7 | 13 | 46.2% | 3 | 4 | 7 | 42.9% | 0 | 2 | 2 | 0.0% | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 26 | 2020 | 10 | 5 | 15 | 66.7% | 0 | 1 | 1 | 0.0% | — | — | — | — | 2024 | 13 | 9 | 22 | 59.1% | 5 | 5 | 10 | 50.0% | 3 | 3 | 6 | 50.0% |
| 27 | 2021 | 27 | 12 | 39 | 69.2% | 7 | 4 | 11 | 63.6% | 4 | 3 | 7 | 57.1% | 2025 | 25 | 8 | 33 | 75.8% | 3 | 3 | 6 | 50.0% | 3 | 3 | 6 | 50.0% |
| 28 | 2022 | 28 | 15 | 43 | 65.1% | 12 | 4 | 16 | 75.0% | 2 | 1 | 3 | 66.7% | 2026 | 12 | 6 | 18 | 66.7% | 7 | 3 | 10 | 70.0% | 8 | 2 | 10 | 80.0% |
| 29 | 2023 | 40 | 11 | 51 | 78.4% | 8 | 4 | 12 | 66.7% | 6 | 2 | 8 | 75.0% | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 30 | 2024 | 26 | 11 | 37 | 70.3% | 4 | 2 | 6 | 66.7% | 6 | 3 | 9 | 66.7% | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 31 | 2025 | 37 | 14 | 51 | 72.5% | 11 | 5 | 16 | 68.8% | 4 | 2 | 6 | 66.7% | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 32 | 2026 | 34 | 8 | 42 | 81.0% | 9 | 3 | 12 | 75.0% | 7 | 2 | 9 | 77.8% | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Career | — | 219 | 94 | 313 | 70.0% | 56 | 30 | 86 | 65.1% | 29 | 16 | 45 | 64.4% | — | 190 | 88 | 278 | 68.3% | 36 | 31 | 67 | 53.7% | 25 | 17 | 42 | 59.5% |
Seasons are aligned by the age each player spent most of that calendar year. Detailed serve and return statistics available for 404/444 of Jessica Pegula's and 350/386 of Naomi Osaka'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 | Jessica Pegula | Naomi Osaka | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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% | |
| 16 | — | —/— | — | — | — | — | — | — | — | — | — | 2014 | 4/4 | 4.3 | 1.8 | 55.4% | 65.3% | 44.8% | 33.6% | 49.2% | 55.5% | 41.0% |
| 18 | 2012 | 2/2 | 3.5 | 3.0 | 58.7% | 60.3% | 56.8% | 73.0% | 57.7% | 58.9% | 33.1% | 2016 | 33/33 | 4.8 | 2.5 | 55.2% | 69.6% | 48.3% | 54.8% | 51.5% | 59.9% | 43.8% |
| 19 | 2013 | 5/6 | 0.6 | 3.4 | 58.9% | 55.7% | 46.7% | 61.7% | 47.7% | 51.8% | 42.3% | 2017 | 40/41 | 4.2 | 2.5 | 55.9% | 67.2% | 45.7% | 45.6% | 46.3% | 57.5% | 40.2% |
| 20 | — | —/— | — | — | — | — | — | — | — | — | — | 2018 | 55/60 | 4.7 | 2.1 | 59.7% | 71.1% | 48.8% | 55.8% | 55.7% | 61.9% | 45.3% |
| 21 | 2015 | 3/6 | 1.7 | 3.7 | 62.7% | 69.6% | 46.8% | 57.3% | 34.6% | 60.8% | 39.9% | 2019 | 50/53 | 7.0 | 1.9 | 60.2% | 73.1% | 47.9% | 56.3% | 51.0% | 63.1% | 44.4% |
| 22 | 2016 | 4/8 | 2.3 | 2.5 | 60.3% | 60.6% | 43.7% | 52.4% | 50.4% | 53.8% | 36.9% | 2020 | 18/19 | 7.8 | 2.5 | 59.0% | 76.0% | 53.0% | 64.2% | 43.2% | 66.5% | 42.5% |
| 23 | 2017 | 1/1 | 6.0 | 6.0 | 53.4% | 70.2% | 46.3% | 66.7% | 33.3% | 59.1% | 33.7% | 2021 | 21/28 | 6.5 | 2.8 | 53.5% | 76.2% | 52.2% | 59.4% | 52.6% | 64.9% | 43.6% |
| 24 | 2018 | 5/5 | 4.4 | 2.8 | 60.7% | 69.8% | 43.9% | 63.7% | 54.4% | 59.5% | 43.0% | 2022 | 22/26 | 5.7 | 2.5 | 51.4% | 76.9% | 47.4% | 61.9% | 44.1% | 62.7% | 41.4% |
| 25 | 2019 | 22/22 | 2.0 | 2.5 | 61.1% | 60.0% | 45.9% | 51.0% | 45.5% | 54.7% | 42.7% | — | —/— | — | — | — | — | — | — | — | — | — |
| 26 | 2020 | 16/16 | 2.4 | 2.2 | 61.9% | 63.7% | 49.2% | 54.3% | 45.5% | 58.1% | 44.4% | 2024 | 36/38 | 6.5 | 2.7 | 54.0% | 75.1% | 51.1% | 56.3% | 50.1% | 64.0% | 40.4% |
| 27 | 2021 | 52/57 | 2.8 | 3.0 | 59.7% | 67.6% | 50.8% | 56.5% | 49.0% | 61.0% | 46.9% | 2025 | 34/46 | 6.6 | 2.9 | 56.9% | 74.7% | 49.3% | 52.5% | 53.6% | 63.5% | 45.2% |
| 28 | 2022 | 61/62 | 2.6 | 3.1 | 58.0% | 68.1% | 49.3% | 53.2% | 46.7% | 60.2% | 46.4% | 2026 | 37/38 | 5.9 | 2.5 | 58.2% | 72.9% | 49.6% | 52.0% | 47.3% | 63.2% | 42.7% |
| 29 | 2023 | 69/71 | 2.5 | 2.4 | 58.4% | 67.2% | 50.7% | 54.6% | 51.3% | 60.2% | 47.5% | — | —/— | — | — | — | — | — | — | — | — | — |
| 30 | 2024 | 49/52 | 3.3 | 2.4 | 61.5% | 68.0% | 50.3% | 57.0% | 52.0% | 61.2% | 44.8% | — | —/— | — | — | — | — | — | — | — | — | — |
| 31 | 2025 | 57/73 | 2.6 | 2.2 | 62.3% | 67.9% | 50.7% | 56.5% | 50.4% | 61.3% | 46.1% | — | —/— | — | — | — | — | — | — | — | — | — |
| 32 | 2026 | 58/63 | 4.0 | 1.8 | 61.6% | 70.6% | 51.2% | 56.2% | 47.4% | 63.1% | 45.6% | — | —/— | — | — | — | — | — | — | — | — | — |
| Career | — | 404/444 | 2.8 | 2.5 | 60.3% | 67.4% | 50.0% | 55.5% | 49.0% | 60.4% | 45.7% | — | 350/388 | 5.8 | 2.4 | 56.9% | 72.6% | 48.9% | 54.7% | 50.3% | 62.3% | 43.1% |
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 | Jessica Pegula | Naomi Osaka | ||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | |
| 16 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 2014 | 1531 | 113.5 | +0.17 | +0.57 | 0.923 | 48.4% | +17 | — | — | 45.5% | 0.00 | 2–1 (67%) | 1–0 | — | -0.19 |
| 17 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 2015 | 1509 | 102.0 | — | — | — | — | — | — | — | 20.0% | -1.80 | 0–1 | — | — | 0.00 |
| 18 | 2012 | 1479 | 101.6 | -0.91 | -1.89 | 0.805 | 47.0% | — | — | — | 20.0% | -1.60 | 0–1 | — | — | -0.05 | 2016 | 1700 | 128.3 | +3.18 | +0.66 | 1.091 | 51.9% | -10 | -101 | — | 60.0% | +0.65 | 4–5 (44%) | 5–6 (45%) | 101.0 | +0.04 |
| 19 | 2013 | 1489 | 106.5 | -1.07 | +0.21 | 0.878 | 47.3% | — | +75 | — | 35.7% | -1.00 | 1–1 | 1–1 | — | -0.25 | 2017 | 1696 | 132.1 | +1.30 | -2.12 | 0.947 | 48.9% | +6 | -84 | -47 | 45.8% | -0.18 | 5–4 (56%) | 2–5 (29%) | 97.8 | -1.51 |
| 20 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 2018 | 1902 | 160.7 | +5.21 | +2.94 | 1.190 | 53.8% | +17 | -236 | -168 | 67.5% | +1.35 | 4–3 (57%) | 4–4 (50%) | 99.8 | -2.09 |
| 21 | 2015 | 1485 | 104.6 | +0.19 | -1.18 | 1.018 | 49.7% | +11 | — | — | 43.8% | -0.63 | 1–3 (25%) | 2–3 (40%) | — | +0.29 | 2019 | 2047 | 154.9 | +5.80 | +1.63 | 1.202 | 53.6% | +30 | -229 | -350 | 68.4% | +1.22 | 17–2 (89%) | 10–4 (71%) | 116.1 | +0.60 |
| 22 | 2016 | 1519 | 111.1 | -0.50 | -2.35 | 0.800 | 45.8% | +15 | — | — | 58.8% | +0.23 | 1–0 | 2–1 (67%) | — | +0.01 | 2020 | 2112 | 156.0 | +6.66 | +1.24 | 1.267 | 54.0% | +19 | — | — | 71.7% | +1.61 | 9–1 (90%) | 3–5 (38%) | 103.1 | -0.42 |
| 23 | 2017 | 1501 | 95.9 | -2.41 | -3.99 | 0.824 | 46.6% | — | — | — | 33.3% | -2.00 | 0–1 | — | — | +0.19 | 2021 | 2040 | 154.1 | +6.00 | +1.08 | 1.240 | 54.0% | +82 | -235 | — | 72.2% | +1.43 | 3–3 (50%) | 2–2 (50%) | 95.5 | -0.04 |
| 24 | 2018 | 1608 | 112.0 | -0.41 | +0.67 | 1.062 | 51.5% | +6 | — | — | 72.7% | +0.91 | 1–0 | 2–0 | — | +0.14 | 2022 | 1934 | 147.8 | +4.77 | +0.02 | 1.112 | 52.0% | +91 | -156 | — | 57.4% | +0.81 | 4–1 (80%) | 0–2 | — | -0.62 |
| 25 | 2019 | 1634 | 127.0 | -1.39 | +0.06 | 0.941 | 48.7% | +21 | -85 | — | 41.2% | -0.49 | 4–3 (57%) | 2–2 (50%) | 102.2 | -0.99 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 26 | 2020 | 1788 | 143.1 | +1.44 | +2.30 | 1.059 | 51.0% | +28 | — | — | 51.4% | +0.17 | 5–0 (100%) | 3–2 (60%) | 107.9 | -1.45 | 2024 | 1873 | 146.8 | +5.89 | -1.17 | 1.122 | 52.2% | +76 | -98 | -157 | 56.3% | +0.71 | 3–5 (38%) | 4–8 (33%) | 94.1 | -2.05 |
| 27 | 2021 | 1926 | 160.3 | +4.03 | +4.07 | 1.203 | 53.8% | +32 | -304 | -286 | 64.0% | +1.08 | 7–10 (41%) | 3–2 (60%) | 99.3 | -0.70 | 2025 | 1966 | 153.3 | +4.79 | +1.97 | 1.240 | 54.1% | +59 | -128 | -253 | 65.4% | +1.12 | 11–9 (55%) | 10–6 (63%) | 101.6 | +0.92 |
| 28 | 2022 | 1975 | 158.6 | +3.67 | +4.35 | 1.167 | 53.0% | +11 | -131 | -302 | 62.7% | +0.90 | 10–6 (63%) | 7–8 (47%) | 100.5 | +0.72 | 2026 | 2053 | 158.1 | +5.15 | +1.24 | 1.160 | 53.0% | +1 | -104 | -111 | 66.7% | +1.12 | 8–2 (80%) | 7–3 (70%) | 109.0 | -0.80 |
| 29 | 2023 | 2085 | 164.0 | +3.89 | +4.87 | 1.193 | 53.7% | +47 | -210 | -304 | 68.3% | +1.39 | 17–6 (74%) | 6–7 (46%) | 104.6 | +0.29 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 30 | 2024 | 2026 | 156.7 | +4.38 | +2.33 | 1.156 | 52.9% | +50 | -128 | -137 | 63.6% | +0.76 | 13–7 (65%) | 11–8 (58%) | 100.5 | +1.07 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 31 | 2025 | 2057 | 165.8 | +4.29 | +3.29 | 1.192 | 53.6% | +59 | -133 | -89 | 66.5% | +1.16 | 17–13 (57%) | 9–11 (45%) | 95.7 | +2.36 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 32 | 2026 | 2141 | 168.2 | +6.12 | +3.68 | 1.237 | 53.8% | +67 | -159 | -77 | 70.0% | +1.27 | 19–5 (79%) | 9–3 (75%) | 110.3 | -0.73 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Career | — | 2167 | 162.8 | +3.70 | +3.34 | 1.155 | 52.9% | +41 | -155 | -186 | 63.2% | +0.91 | 96–56 (63%) | 57–48 (54%) | 105.1 | +0.21 | — | 2179 | 157.0 | +4.72 | +0.85 | 1.143 | 52.6% | +35 | -157 | -155 | 62.7% | +0.95 | 70–37 (65%) | 48–45 (52%) | 107.0 | -1.65 |
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 |
|---|---|---|---|---|---|
| Aryna Sabalenka | 4 | 10 | 14 | Sep 10, 2026 | H2H |
| Iga Swiatek | 5 | 7 | 12 | Aug 22, 2026 | H2H |
| Maria Sakkari | 7 | 5 | 12 | Jul 30, 2025 | H2H |
| Coco Gauff | 5 | 5 | 10 | Aug 23, 2026 | H2H |
| Elina Svitolina | 6 | 3 | 9 | Feb 21, 2026 | H2H |
| Opponent | W | L | M | Last Played | H2H |
|---|---|---|---|---|---|
| Elise Mertens | 7 | 4 | 11 | Sep 5, 2026 | H2H |
| Karolina Muchova | 4 | 4 | 8 | Jul 7, 2026 | H2H |
| Elina Svitolina | 5 | 3 | 8 | Aug 5, 2025 | H2H |
| Angelique Kerber | 2 | 5 | 7 | Jul 29, 2024 | H2H |
| Karolina Pliskova | 2 | 5 | 7 | Feb 16, 2024 | H2H |