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Statistiken Deutscher Baseball und Softball Verband

Stand: 2020-10-11

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2. Bundesliga Südost

Sortable Teamstats: München Caribes (MUC)

Sortstats Pitching | Teamstats | Extended Teamstats | Game Summaries

Name	Nat	Age	G	PA	AB	H	2B	3B	HR	R	RBI	K	BB	HP	SF	SH	SB	CS	AVG	SLG	OBP	OPS
Reyes	DOM	32	10	36	30	15	2	0	3	8	12	8	5	1	0	0	1	0	.500	.867	.583	1.450
Lipke	GER	27	10	35	28	8	1	0	4	10	12	9	7	0	0	0	0	0	.286	.750	.429	1.179
Walker	USA	37	8	33	22	9	3	0	0	13	5	1	11	0	0	0	10	0	.409	.545	.606	1.152
NilFrank	GER	22	4	11	8	3	1	0	0	3	1	3	2	1	0	0	0	0	.375	*.500*	.545	1.045
Tejada Rosario	DOM	34	8	27	26	7	2	0	1	5	6	8	0	0	1	0	0	0	.269	.462	.259	.721
Rodriguez Paredes	DOM	49	2	8	7	3	0	0	0	3	1	0	1	0	0	0	2	0	.429	*.429*	.500	.929
Castaños Garcia	GER	43	8	28	26	6	3	1	0	4	5	3	2	0	0	0	2	0	.231	.423	.286	.709
Rivas	DOM	26	6	19	15	4	2	0	0	5	5	3	4	0	0	0	0	0	.267	*.400*	.421	.821
Kohn	GER	44	6	20	16	3	1	0	0	2	3	1	3	1	0	0	0	0	.188	*.250*	.350	.600
Cueto	DOM	43	3	11	10	2	0	0	0	2	2	2	0	1	0	0	0	0	.200	*.200*	.273	.473
DSanchez	USA	42	8	23	19	3	0	0	0	4	2	2	4	0	0	0	0	0	.158	*.158*	.304	.462
Gonell Taveras	DOM	44	3	10	8	1	0	0	0	1	2	1	1	1	0	0	0	0	.125	*.125*	.300	.425
Peter	USA	29	10	40	29	2	0	0	0	6	3	7	7	4	0	0	0	0	.069	.069	.325	.394
Figarella	VEN	45	2	5	5	0	0	0	0	0	0	3	0	0	0	0	0	0	.000	*.000*	.000	.000
Martinez	CUB	35	2	2	1	0	0	0	0	0	0	0	1	0	0	0	0	0	.000	*.000*	.500	.500
Penalo Martinez	DOM	15	2	8	8	0	0	0	0	0	0	3	0	0	0	0	0	0	.000	*.000*	.000	.000

3rd batters		34.4	10	36	34	13	3	0	3	8	15	9	1	0	1	0	0	0	.382	.735	.389	1.124
6th batters		35.5	10	35	30	9	0	0	3	9	8	8	4	1	0	0	2	0	.300	.600	.400	1.000
4th batters		31.7	10	35	27	10	2	0	1	9	5	8	7	1	0	0	1	0	.370	.556	.514	1.070
5th batters		31.2	10	35	29	8	3	1	1	7	10	5	6	0	0	0	2	0	.276	.552	.400	.952
leadoff batters		38.2	10	40	29	10	4	0	0	14	6	1	11	0	0	0	10	0	.345	.483	.525	1.008
8th batters		40.5	10	32	27	6	2	0	0	5	7	5	3	2	0	0	0	0	.222	.296	.344	.640
7th batters		43.4	10	32	26	5	1	0	0	4	4	4	6	0	0	0	0	0	.192	.231	.344	.575
9th batters		32.1	10	31	27	3	0	0	0	4	1	7	3	1	0	0	0	0	.111	.111	.226	.337
2nd batters		29.4	10	40	29	2	0	0	0	6	3	7	7	4	0	0	0	0	.069	.069	.325	.394
Name	Nat	Age	G	PA	AB	H	2B	3B	HR	R	RBI	K	BB	HP	SF	SH	SB	CS	AVG	SLG	OBP	OPS

vs. LAU		35.7		75	59	19	4	1	2	21	18	9	12	4	0	0	8	0	.322	.525	.467	.992
vs. ING		34.9		58	47	13	3	0	2	11	10	10	8	3	0	0	1	0	.277	.468	.414	.882
vs. FUS		35.3		64	49	16	4	0	0	18	16	11	13	1	1	0	4	0	.327	.408	.469	.877
vs. FUR		34.7		66	54	11	1	0	3	12	11	9	11	1	0	0	1	0	.204	.389	.348	.737
vs. REG		34.2		53	49	7	3	0	1	4	4	15	4	0	0	0	1	0	.143	.265	.208	.473

Game 2		35.0		153	130	39	11	0	5	37	34	24	19	4	0	0	5	0	.300	.500	.405	.905
Game 1		35.0		163	128	27	4	1	3	29	25	30	29	5	1	0	10	0	.211	.328	.374	.702

homegames		35.3		205	162	46	9	1	5	51	45	29	36	6	1	0	13	0	.284	.444	.429	.874
awaygames		34.6		111	96	20	6	0	3	15	14	25	12	3	0	0	2	0	.208	.365	.315	.680

GER		35.3		94	78	20	6	1	4	19	21	16	14	2	0	0	2	0	.256	.513	.383	.896
Foreign		34.9		222	180	46	9	0	4	47	38	38	34	7	1	0	13	0	.256	.372	.392	.764

REG		17.4	10	325	252	98	24	8	5	104	89	47	56	9	7	1	40	1	.389	.607	.503	1.110
FUR		29.0	12	411	347	106	24	1	7	70	60	58	32	17	8	7	43	4	.305	.441	.384	.825
MUC		35.0	10	316	258	66	15	1	8	66	59	54	48	9	1	0	15	0	.256	.415	.389	.804
GAU		31.2	7	256	192	59	7	1	0	53	46	30	46	11	3	4	17	5	.307	.354	.460	.814
FUS		25.5	9	277	233	52	8	1	6	35	32	66	30	11	2	1	5	1	.223	.343	.337	.680
ING		35.5	10	264	235	60	12	1	2	36	25	51	12	8	2	7	32	17	.255	.340	.311	.652
LAU		26.8	8	243	197	39	7	0	0	28	21	64	38	6	1	1	19	4	.198	.234	.343	.576

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