# Dane Sweeny

Dane Sweeny (born 12 February 2001) is an Australian professional tennis player. He has a career high ATP singles ranking of world No. 194 achieved on 12 February 2024 and a doubles ranking of No. 160 achieved on 14 November 2022.

## Juniors

In August 2015, Sweeny represented Australia at the ITF World Junior Tennis Finals in Prostějov, Czech Republic. He reached a career high of No. 21 in the ITF Junior Rankings on 27 May 2019.

## Professional career
### 2018–2020: Career beginnings

Sweeny made his ITF Men's World Tennis Tour main draw debut in Mornington, Victoria in March 2018 and his ATP Challenger Tour main draw debut in October 2019 in Traralgon.

### 2021: ATP debut

In January 2021, Sweeny made the third and final round of the 2021 Australian Open – Men's singles qualifying.
Sweeny was awarded a wildcard into the 2021 Great Ocean Road Open, where he made his ATP Tour main draw debut. Sweeny defeated Nam Ji-sung in the first round before losing to Aljaž Bedene in round two.
In August and September, Sweeny played in the ITF circuit in Monastir, reaching the semifinal in one. On 27 September 2021, Sweeny achieved a career high singles ranking of No. 533. He broke into the world's top 500 on 15 November 2021. Sweeny ended 2021 with a singles ranking of No. 496.

### 2022: Major doubles and Top 250 singles debut

Sweeny reached the second round of the 2022 Australian Open – Men's singles qualifying. He made his debut in doubles as a wildcard pair partnering compatriot Li Tu reaching the third round where they lost to second seeds Rajeev Ram/Joe Salisbury.
In February 2022, Sweeny won his first ITF titles in singles and doubles in Canberra.
He made his top 250 debut on 3 October 2022 at world No. 247.

### 2023-2024: Major, Masters debuts and first win, top 200

In October 2023, Sweeny qualified for a Masters 1000 at the Shanghai for the first time. He recorded his first main-draw win at this level against Taro Daniel, which was his first top 100 win also.
He qualified for the 2024 Australian Open making his Grand Slam debut.

## Performance timelines

Key :
| W | F | SF | QF | #R | RR | Q# | P# | DNQ | A | Z# | PO | G | S | B | NMS | NTI | P | NH |
Only main-draw results in ATP Tour, Grand Slam tournaments, Davis Cup and Olympic Games are included in win–loss records.

### Singles

Current after the 2024 French Open.
| Tournament | 2021 | 2022 | 2023 | 2024 | SR | W–L | Win % |
| Grand Slam tournaments ||||||||
| Australian Open | Q3 | Q2 | Q2 | 1R | 0 / 1 | 0–1 | 0% |
| French Open | A | A | A | Q1 | 0 / 0 | 0–0 | – |
| Wimbledon | A | A | Q1 | Q1 | 0 / 0 | 0–0 | – |
| US Open | A | A | A | A | 0 / 0 | 0–0 | – |
| Win–loss | 0–0 | 0–0 | 0–0 | 0–1 | 0 / 1 | 0–1 | 0% |
| ATP Masters 1000 ||||||||
| Shanghai Masters | NH | NH | 2R | A | 0 / 1 | 1–1 | – |
| Career statistics ||||||||
| Tournaments | 1 | 0 | 2 | 1 | Career total: 4 | Career total: 4 | Career total: 4 |
| Titles | 0 | 0 | 0 | 0 | Career total: 0 | Career total: 0 | Career total: 0 |
| Finals | 0 | 0 | 0 | 0 | Career total: 0 | Career total: 0 | Career total: 0 |
| Overall win–loss | 1–1 | 0–0 | 1–2 | 0–1 | 0 / 4 | 2–4 | 33% |
| Year-end ranking | 496 | 251 | 256 | 339 | | | |

## Challenger and World Tennis Tour finals
### Singles: 10 (7–3)

* Legend (singles)
* ATP Challenger Tour (0–1)
* ITF World Tennis Tour (7–2)
* Finals by surface
* Hard (6–3)
* Clay (1–0)
* Grass (0–0)
* Carpet (0–0)
| Result | W–L | Date | Tournament | Tier | Surface | Opponent | Score |
| Loss | 0-1 | Nov 2021 | M25, Saint-Dizier, France | World Tennis Tour | Hard (indoor) | Li Tu | 6–1, 1–6, 4–6 |
| Win | 1-1 | Feb 2022 | M25, Canberra, Australia | World Tennis Tour | Hard | Akira Santillan | 6–3, 4–6, 7–5 |
| Win | 2-1 | Feb 2022 | M25, Canberra, Australia | World Tennis Tour | Hard | James McCabe | 5–7, 7–6$^{(8–6)}$, 6–3 |
| Win | 3-1 | July 2022 | M15, Caloundra, Australia | World Tennis Tour | Hard | Thomas Fancutt | 6–3, 6—4 |
| Loss | 3-2 | Nov 2021 | M15, Caloundra, Australia | World Tennis Tour | Hard | Dayne Kelly | 1–6, 6–1, 5–7 |
| Win | 4-2 | Sep 2022 | M25, Darwin, Australia | World Tennis Tour | Hard | Kyle Seelig | 4–6, 6–2, 6–1 |
| Win | 5-2 | Sep 2022 | M25, Darwin, Australia | World Tennis Tour | Hard | Omar Jasika | 6–3, 6–7$^{(4–7)}$, 6–4 |
| Win | 6-2 | Oct 2022 | M25, Cairns, Australia | World Tennis Tour | Hard | Philip Sekulic | 6–2, 6–3 |
| Win | 7-2 | Mar 2023 | M25, Canberra, Australia | World Tennis Tour | Clay | Marc Polmans | 6–7$^{(1–7)}$, 7–6$^{(7–5)}$, 6–4 |
| Loss | 7-3 | Feb 2024 | Burnie, Australia | Challenger | Hard | Adam Walton | 2–6, 6–7$^{(4–7)}$ |

### Doubles: 9 (5–4)

* Legend (doubles)
* ATP Challenger Tour (0–1)
* ITF World Tennis Tour (5–3)
* Titles by surface
* Hard (4–4)
* Clay (1–0)
* Grass (0–0)
* Carpet (0–0)
| Result | W–L | Date | Tournament | Tier | Surface | Partner | Opponents | Score |
| Win | 1–0 | Aug 2021 | M15, Monastir, Tunisia | World Tennis Tour | Hard | Blake Ellis | Timur Khabibulin / Beibit Zhukayev | 7–6, 6–1 |
| Win | 2–0 | Feb 2022 | M25, Canberra, Australia | World Tennis Tour | Hard | Li Tu | Jayden Court /David Hough | 6–3, 7–5 |
| Loss | 2–1 | Mar 2022 | M25, Bendigo, Australia | World Tennis Tour | Hard | Li Tu | Akira Santillan /Philip Sekulic | 5–7, 7–6, [7–10] |
| Win | 3–1 | Mar 2022 | M25, Canberra, Australia | World Tennis Tour | Clay | Li Tu | Matthew Romios / Eric Vanshelboim | 7–6, 3–6, [10–7] |
| Loss | 3–2 | Mar 2022 | M25, Monastir, Tunisia | World Tennis Tour | Hard | Jayden Court | Hsu Yu-hsiou /Fajing Sun | 6–7$^{(4–7)}$, 3–6, |
| Win | 4–2 | June 2022 | M25, Tusla, USA | World Tennis Tour | Hard | Hsu Yu-hsiou | Ezikiel Clark /Nathan Ponwith | 6–3, 6–2 |
| Loss | 3–3 | June 2022 | M25, Dallas, USA | World Tennis Tour | Hard | Hsu Yu-hsiou | Govind Nanda /Tyler Zink | 4–6, 4–6 |
| Win | 5–3 | Sep 2022 | M25, Darwin, Australia | World Tennis Tour | Hard | Calum Puttergill | Joshua Charlton /Adam Walton | 7–6$^{(7–5)}$, 6–3 |
| Loss | 5–4 | Sep 2024 | Charleston, U.S.A | Challenger | Hard | Calum Puttergill | Luke Saville /Tristan Schoolkate | 7–6$^{(7–1)}$, 1–6, [3–10] |