Batting match by match (All cricket)
The most runs in a match in all cricket v Western Australia at Bankstown Oval is 108 by Jack Edwards (NSW) v WA, 11 Apr 2021.
More filters
2 active
OverallInnings by inningsMatch by matchFormat summaryTeam summaryOpposition summaryGround summarySeries summaryYear summary
| Player | Runs | Scores | BF | 4s | 6s | Opposition | Ground | Date |
|---|---|---|---|---|---|---|---|---|
| Jack EdwardsNSW | 108 | 108 | 122 | 4 | 3 | v WA | Sydney | 11 Apr 2021 |
| Jason SanghaNSW | 86 | 86 | 213 | 9 | 0 | v WA | Sydney | 15 Mar 2022 |
| Daniel HughesNSW | 58 | 58 | 102 | 3 | 0 | v WA | Sydney | 11 Apr 2021 |
| Chris TremainNSW | 58 | 58 | 102 | 2 | 3 | v WA | Sydney | 15 Mar 2022 |
| Matthew GilkesNSW | 28 | 28 | 25 | 4 | 1 | v WA | Sydney | 11 Apr 2021 |
| Moisés HenriquesNSW | 23 | 23 | 43 | 4 | 0 | v WA | Sydney | 15 Mar 2022 |
| Kurtis PattersonNSW | 21 | 21 | 42 | 4 | 0 | v WA | Sydney | 15 Mar 2022 |
| Oliver DaviesNSW | 19 | 19 | 21 | 0 | 1 | v WA | Sydney | 11 Apr 2021 |
| Sean AbbottNSW | 14 | 14 | 10 | 1 | 1 | v WA | Sydney | 11 Apr 2021 |
| Daniel HughesNSW | 6 | 6 | 11 | 1 | 0 | v WA | Sydney | 15 Mar 2022 |
| Trent CopelandNSW | 5 | 5 | 26 | 0 | 0 | v WA | Sydney | 15 Mar 2022 |
| Jason SanghaNSW | 3 | 3 | 8 | 0 | 0 | v WA | Sydney | 11 Apr 2021 |
| Mitchell StarcNSW | 2 | 2* | 4 | 0 | 0 | v WA | Sydney | 11 Apr 2021 |
| Nathan LyonNSW | 2 | 2* | 1 | 0 | 0 | v WA | Sydney | 11 Apr 2021 |
| Baxter HoltNSW | 2 | 2 | 11 | 0 | 0 | v WA | Sydney | 15 Mar 2022 |
| Kurtis PattersonNSW | 1 | 1 | 7 | 0 | 0 | v WA | Sydney | 11 Apr 2021 |
| Riley AyreNSW | 1 | 1* | 9 | 0 | 0 | v WA | Sydney | 15 Mar 2022 |
| Jack EdwardsNSW | 1 | 1 | 8 | 0 | 0 | v WA | Sydney | 15 Mar 2022 |
| Ben DwarshuisNSW | 0 | 0 | 1 | 0 | 0 | v WA | Sydney | 11 Apr 2021 |
| Arjun NairNSW | 0 | 0 | 10 | 0 | 0 | v WA | Sydney | 15 Mar 2022 |
| Hayden KerrNSW | 0 | 0 | 3 | 0 | 0 | v WA | Sydney | 15 Mar 2022 |
BF balls faced · 4s fours · 6s sixes
Click a column heading to sort. Names, opponents, grounds and years narrow the query to that player, team, ground or year.