Bowling Most Runs Conceded Innings - vs Mexico

Most runs conceded in an innings in 2020 in Minor T20s - vs Mexico

Most runs conceded in an innings

Player	Overs	Mdns	Runs conceded	Wickets taken	Econ	Innings in match	Team	Opposition	Ground	Result	Match Date	Scorecard
Tony Sanford	4.0	-	51	1	12.75	1	Peru	v Mexico	Buenos Aires	lost	20 Oct 2023	Other T20
Shaikh Ashraf	4.0	-	47	1	11.75	1	Peru	v Mexico	Buenos Aires	lost	20 Oct 2023	Other T20
HV Manimaran	4.0	-	36	1	9.00	2	Colombia	v Mexico	Buenos Aires	won	21 Oct 2023	Other T20
LM Parks	4.0	-	34	-	8.50	2	Colombia	v Mexico	Buenos Aires	won	21 Oct 2023	Other T20
G Parsons	3.0	-	29	-	9.66	1	Peru	v Mexico	Buenos Aires	lost	20 Oct 2023	Other T20
JP Wood	3.0	-	29	1	9.66	2	Colombia	v Mexico	Buenos Aires	won	21 Oct 2023	Other T20
Yash Sharma	4.0	-	28	-	7.00	1	Uruguay	v Mexico	Buenos Aires	won	21 Oct 2023	Other T20
Mohsin Hub	4.0	-	26	2	6.50	1	Peru	v Mexico	Buenos Aires	lost	20 Oct 2023	Other T20
VAR Perera	4.0	-	26	2	6.50	2	Colombia	v Mexico	Buenos Aires	won	21 Oct 2023	Other T20
LM Parks	3.2	-	25	1	7.50	2	Colombia	v Mexico	Itaguai	lost	11 Oct 2024	Other T20
HK Brahmbhatt	3.0	-	23	1	7.66	1	Peru	v Mexico	Buenos Aires	lost	20 Oct 2023	Other T20
Suresh Kumar	2.0	-	20	-	10.00	1	Peru	v Mexico	Buenos Aires	lost	20 Oct 2023	Other T20
PA Reid	3.0	-	20	-	6.66	2	Colombia	v Mexico	Buenos Aires	won	21 Oct 2023	Other T20
A Sehrawat	2.0	-	16	1	8.00	2	Colombia	v Mexico	Buenos Aires	won	21 Oct 2023	Other T20
B Ravi	4.0	1	12	4	3.00	1	Uruguay	v Mexico	Buenos Aires	won	21 Oct 2023	Other T20
S Krishnamoorthy	2.0	1	10	2	5.00	1	Uruguay	v Mexico	Buenos Aires	won	21 Oct 2023	Other T20
PA Reid	3.0	-	9	1	3.00	2	Colombia	v Mexico	Itaguai	lost	11 Oct 2024	Other T20
B Ravindra	3.0	1	7	2	2.33	1	Uruguay	v Mexico	Buenos Aires	won	21 Oct 2023	Other T20
H Pundhir	2.4	-	5	2	1.87	1	Uruguay	v Mexico	Buenos Aires	won	21 Oct 2023	Other T20
D Arun	2.0	-	4	-	2.00	1	Uruguay	v Mexico	Buenos Aires	won	21 Oct 2023	Other T20

Adjust:Most recentPast weekPast MonthPast year4 years10 years25 years

Performances in matches that overlap years are credited to the year in which they occurred - this results in some unknown data, especially in regard to bowling figures