Jersey: Batting figures (List A)
Asa Tribe has scored the most runs in List A cricket for Jersey at Farmers Cricket Club Ground: 359 in 4 matches.
More filters
2 active
OverallInnings by inningsMatch by matchFormat summaryTeam summaryOpposition summaryGround summarySeries summaryYear summary
| Player | Span | Mat | Inns | NO | Runs | HS | Ave | BF | SR | 100 | 50 | 0 | 4s | 6s |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Asa TribeJER | 2022-2025 | 4 | 4 | 1 | 359 | 175 | 119.67 | 396 | 90.66 | 1 | 2 | 0 | 35 | 5 |
| Nick GreenwoodJER | 2022-2025 | 6 | 6 | 0 | 261 | 141 | 43.50 | 253 | 103.16 | 1 | 1 | 2 | 30 | 1 |
| Harrison CarlyonJER | 2022-2025 | 6 | 6 | 0 | 220 | 96 | 36.67 | 266 | 82.71 | 0 | 2 | 0 | 32 | 3 |
| Jonty JennerJER | 2016-2025 | 7 | 6 | 3 | 191 | 104* | 63.67 | 192 | 99.48 | 1 | 1 | 0 | 17 | 5 |
| Josh LawrensonJER | 2022-2025 | 6 | 6 | 0 | 110 | 46 | 18.33 | 158 | 69.62 | 0 | 0 | 1 | 11 | 0 |
| Julius SumerauerJER | 2022-2025 | 6 | 3 | 1 | 95 | 39* | 47.50 | 73 | 130.14 | 0 | 0 | 0 | 3 | 7 |
| Zak TribeJER | 2025 | 3 | 3 | 1 | 89 | 45* | 44.50 | 131 | 67.94 | 0 | 0 | 1 | 7 | 0 |
| Dominic BlampiedJER | 2022-2025 | 6 | 4 | 2 | 77 | 37* | 38.50 | 78 | 98.72 | 0 | 0 | 1 | 5 | 3 |
| Nathaniel WatkinsJER | 2016 | 1 | 1 | 1 | 50 | 50* | - | 41 | 121.95 | 0 | 1 | 0 | 9 | 0 |
| Peter GoughJER | 2016 | 1 | 1 | 1 | 41 | 41* | - | 44 | 93.18 | 0 | 0 | 0 | 7 | 0 |
| Jake DunfordJER | 2016-2025 | 7 | 2 | 0 | 34 | 23 | 17.00 | 50 | 68.00 | 0 | 0 | 0 | 2 | 0 |
| Charlie BrennanJER | 2025 | 2 | 1 | 0 | 2 | 2 | 2.00 | 9 | 22.22 | 0 | 0 | 0 | 0 | 0 |
| Charles PerchardJER | 2016-2025 | 7 | 2 | 1 | 1 | 1* | 1.00 | 4 | 25.00 | 0 | 0 | 1 | 0 | 0 |
| G RichardsonJER | 2025 | 3 | 1 | 1 | 0 | 0* | - | 8 | 0.00 | 0 | 0 | 0 | 0 | 0 |
Span first and last year · Mat matches · Inns innings · NO not outs · HS highest score · Ave batting average · BF balls faced · SR strike rate · 100 hundreds · 50 fifties · 0 ducks · 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.