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Playing now
Live| Season | Team | Competition | MP | Min | G | A |
|---|---|---|---|---|---|---|
| 2025/26 |  Melbourne City Women | Australian W-League | 1 | 90 | 0 | 0 |
| 2025/26 | Melbourne City Women | AFC Women's Champions League | 2 | 135 | 0 | 0 |
| 2024/25 | Melbourne City Women | Australian W-League | 3 | 113 | 0 | 0 |
| 2024/25 | Melbourne City Women | AFC Women's Champions League | 1 | 90 | 0 | 0 |
| 2023/24 | Melbourne City Women | Australian W-League | 5 | 405 | 0 | 0 |
| 2023/24 |  Southern United Women | Victoria NPL Women | 1 | 90 | 0 | 0 |
| 2022/23 | Melbourne City Women | Australian W-League | 10 | 688 | 0 | 0 |
| 2021/22 | Melbourne City Women | Australian W-League | 15 | 1,353 | 0 | 0 |
| 2020/21 | Melbourne City Women | Australian W-League | 4 | 360 | 0 | 0 |
| 2015/16 |  Melbourne Victory Women | Australian W-League | 11 | 965 | 0 | 0 |
| 2014/15 |  Australia Women | Women's World Cup | 1 | 90 | 0 | 0 |
| Total | 11 seasons | 54 | 4,379 | 0 | 0 |
AFC Women's Champions League
2026/27No stats available right now.
Australian W-League
2025/26Compared with 15 players in the same position in 2025/26.
Value: per 90 minutes played, except the percentages. Percentile: how many of those players rank below, from 0 to 100. The dotted ring on the chart is the 50th percentile, meaning the average for the position.
Small sample so far: few matches played.
| Metric | Value | Percentile |
|---|---|---|
| Saves | 5.00 | 93 |
| Save % | 83% | 100 |
| Clean sheets | 0% | 7 |
| High claims | 1.00 | 93 |
| Pass accuracy | 66% | 47 |
| Long passing | 28% | 0 |
| Metric | Total |
|---|---|
| Clearances | 4 |
| Saves | 5 |
AFC Women's Champions League
2025/26| Metric | Total |
|---|---|
| Clearances | 1 |
| Saves | 4 |
| Clean sheets | 1 |
Australian W-League
2024/25Compared with 18 players in the same position in 2024/25.
Value: per 90 minutes played, except the percentages. Percentile: how many of those players rank below, from 0 to 100. The dotted ring on the chart is the 50th percentile, meaning the average for the position.
Small sample so far: few matches played.
| Metric | Value | Percentile |
|---|---|---|
| Saves | 1.59 | 0 |
| Save % | 67% | 44 |
| Clean sheets | 0% | 11 |
| High claims | 1.59 | 100 |
| Pass accuracy | 83% | 100 |
| Long passing | 57% | 100 |
| Metric | Total |
|---|---|
| Saves | 2 |
AFC Women's Champions League
2024/25| Metric | Total |
|---|---|
| Tackles won | 1 |
| Clearances | 1 |
| Clean sheets | 1 |
Australian W-League
2023/24Compared with 18 players in the same position in 2023/24.
Value: per 90 minutes played, except the percentages. Percentile: how many of those players rank below, from 0 to 100. The dotted ring on the chart is the 50th percentile, meaning the average for the position.
Small sample so far: few matches played.
| Metric | Value | Percentile |
|---|---|---|
| Saves | 4.22 | 61 |
| Save % | 79% | 78 |
| Clean sheets | 20% | 44 |
| High claims | 0.67 | 33 |
| Pass accuracy | 82% | 89 |
| Long passing | 42% | 61 |
| Metric | Total |
|---|---|
| Saves | 19 |
| Clean sheets | 1 |
Victoria NPL Women
2023/24Compared with 16 players in the same position in 2023/24.
Value: per 90 minutes played, except the percentages. Percentile: how many of those players rank below, from 0 to 100. The dotted ring on the chart is the 50th percentile, meaning the average for the position.
Small sample so far: few matches played.
| Metric | Value | Percentile |
|---|---|---|
| Saves | 12.00 | 100 |
| Save % | 86% | 100 |
| Clean sheets | 0% | 6 |
| High claims | 2.00 | 100 |
| Pass accuracy | 33% | 0 |
| Long passing | 28% | 0 |
| Metric | Total |
|---|---|
| Clearances | 1 |
| Saves | 12 |
Australian W-League
2022/23Compared with 13 players in the same position in 2022/23.
Value: per 90 minutes played, except the percentages. Percentile: how many of those players rank below, from 0 to 100. The dotted ring on the chart is the 50th percentile, meaning the average for the position.
| Metric | Value | Percentile |
|---|---|---|
| Saves | 3.27 | 19 |
| Save % | 69% | 27 |
| Clean sheets | 30% | 77 |
| High claims | 1.05 | 96 |
| Pass accuracy | 78% | 88 |
| Long passing | 48% | 96 |
| Metric | Total |
|---|---|
| Clearances | 4 |
| Saves | 25 |
| Clean sheets | 3 |
Australian W-League
2021/22Compared with 12 players in the same position in 2021/22.
Value: per 90 minutes played, except the percentages. Percentile: how many of those players rank below, from 0 to 100. The dotted ring on the chart is the 50th percentile, meaning the average for the position.
| Metric | Value | Percentile |
|---|---|---|
| Saves | 3.06 | 46 |
| Save % | 75% | 79 |
| Clean sheets | 27% | 50 |
| High claims | 0.73 | 79 |
| Pass accuracy | 65% | 46 |
| Long passing | 43% | 79 |
| Metric | Total |
|---|---|
| Big chances created | 1 |
| Clearances | 16 |
| Saves | 46 |
| Clean sheets | 4 |
Australian W-League
2020/21| Metric | Total |
|---|---|
| Clearances | 2 |
| Saves | 12 |
| Clean sheets | 2 |
Australian W-League
2018/19No stats available right now.
Australian W-League
2015/16| Metric | Total |
|---|---|
| Clearances | 3 |
| Saves | 12 |
| Clean sheets | 1 |
Internationals Women
2014/15No stats available right now.
Women's World Cup
2014/15| Metric | Total |
|---|---|
| Saves | 3 |
Australian W-League
2014/15No stats available right now.
Internationals Women
2012/13No stats available right now.
Women's World Cup
2010/11No stats available right now.
Recent matches
| Match | Min | G | A | Sv | GA | Cl | Pun | Pass | Score |
|---|---|---|---|---|---|---|---|---|---|
| 11/19Ho Chi Minh City WomenG3-0 | 45' | 0 | 0 | 3 | 0 | 0 | 0 | 21/30 | 7.0 |
| 11/13Lion City Sailors WomenG5-0 | 90' | 0 | 0 | 1 | 0 | 0 | 0 | 12/14 | 7.4 |
| 10/12Kaya WomenG4-0 | 90' | 0 | 0 | 0 | 0 | 1 | 1 | 20/20 | 7.3 |
| 08/11South Melbourne WomenE2-2 | 90' | 0 | 0 | 12 | 2 | 2 | 0 | 18/54 | 8.5 |
| 06/08AwayUSA WomenP3-1 | 90' | 0 | 0 | 3 | 3 | 1 | 0 | 16/32 | 5.6 |