Batting Most Fifties Career - vs Kenya

Most fifties (and over) in 2020 in FC+LA+T20s - vs Kenya

Most fifties (and over)

Player	Span	Mat	Inns	NO	Runs	HS	Ave	BF	SR	100	50	50+	0	4s	6s
S Ssesazi (UGA)	2021-2023	13	13	2	345	87*	31.36	360	95.83	-	4	4	3	36	8
JAD Lawrenson (JER)	2022-2022	2	2	-	107	55	53.50	153	69.93	-	2	2	-	10	1
DM Nakrani (UGA)	2021-2023	14	13	4	308	67	34.22	250	123.20	-	2	2	2	19	19
Sikandar Raza (ZIM)	2023-2023	1	1	-	82	82	82.00	48	170.83	-	1	1	-	1	8
SC Williams (ZIM)	2023-2023	1	1	-	60	60	60.00	26	230.76	-	1	1	-	4	5
JN Frylinck (NAM)	2023-2023	1	1	1	57	57*	-	41	139.02	-	1	1	-	5	1
Mazharul Islam (SEY)	2022-2022	1	1	-	50	50	50.00	48	104.16	-	1	1	-	6	0
D Samarawickrama (ITA)	2022-2022	1	1	-	62	62	62.00	95	65.26	-	1	1	-	8	0
M Campopiano (ITA)	2022-2022	1	1	-	85	85	85.00	99	85.85	-	1	1	-	8	0
Akhil Anil (TAN)	2022-2023	2	2	1	69	52*	69.00	45	153.33	-	1	1	-	4	5
Aizaz Khan (HKG)	2022-2022	2	2	1	81	59*	81.00	112	72.32	-	1	1	-	10	1
Jaspreet Singh (ITA)	2022-2022	2	2	-	56	56	28.00	40	140.00	-	1	1	1	8	1
NA Greenwood (JER)	2022-2022	2	2	-	72	66	36.00	68	105.88	-	1	1	-	10	1
Charles Trott (BER)	2022-2022	2	2	1	72	58	72.00	62	116.12	-	1	1	-	6	4
AA Jasani (TAN)	2021-2021	2	2	1	91	90*	91.00	55	165.45	-	1	1	-	7	4
CN Onwuzulike (NGA)	2021-2021	3	3	-	78	54	26.00	67	116.41	-	1	1	-	9	3
R Obuya (UGA)	2023-2023	4	4	-	95	57	23.75	71	133.80	-	1	1	-	12	2
V Balakrishnan (BOT)	2022-2023	4	4	-	130	55	32.50	119	109.24	-	1	1	-	11	4
O Tuyisenge (RWN)	2022-2023	4	4	-	72	56	18.00	68	105.88	-	1	1	1	7	3
Saud Islam (UGA)	2021-2021	5	4	-	100	61	25.00	85	117.64	-	1	1	1	10	2
R Nehonde (BOT)	2022-2023	5	5	-	107	53	21.40	104	102.88	-	1	1	1	8	4
G Malla (NEP)	2022-2022	5	5	-	135	59	27.00	126	107.14	-	1	1	-	12	3
S Adedeji (NGA)	2021-2023	6	6	-	137	55	22.83	139	98.56	-	1	1	1	9	7
D Muhumuza (UGA)	2021-2022	8	7	2	91	59*	18.20	108	84.25	-	1	1	-	8	4
RB Patel (UGA)	2021-2023	8	7	-	117	50	16.71	167	70.05	-	1	1	1	18	1

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