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Statistiken Deutscher Baseball und Softball Verband

Stand: 2022-09-11

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2. Bundesliga Nordost

Sortable Teamstats: Hamburg Knights (HHK)

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
*Alkuru*	GER	32	3	14	11	1	0	0	0	2	1	4	0	2	0	0	1	0	.091	.091	.231	.322
*Bland*	GER	27	1	3	3	0	0	0	0	0	0	2	0	0	0	0	0	0	.000	.000	.000	.000
Bremer	GER	26	26	110	93	23	8	1	1	16	19	13	12	5	0	0	5	1	.247	.387	.364	.751
*Dahl*	GER	16	15	52	47	16	2	1	0	9	8	12	4	1	0	0	4	0	.340	.426	.404	.829
*Dickhoff*	GER	35	10	19	15	6	0	0	0	2	0	3	4	0	0	0	0	1	.400	.400	.526	.926
Ecksmann	GER	35	25	95	68	25	0	0	0	20	16	10	23	2	2	0	5	2	.368	.368	.526	.894
*Georges*	GER	34	1	2	2	0	0	0	0	0	0	2	0	0	0	0	0	0	.000	.000	.000	.000
*Grosse*	GER	20	8	26	25	5	1	0	0	5	1	14	0	1	0	0	3	0	.200	.240	.231	.471
*Kalkowski*	GER	32	17	59	47	17	3	0	0	12	12	6	7	5	0	0	2	0	.362	.426	.492	.917
*Klett*	GER	17	7	26	18	7	0	0	0	8	1	6	7	1	0	0	3	1	.389	.389	.577	.966
*Klötzing*	GER	30	11	41	33	10	2	0	0	9	4	4	5	2	1	0	1	0	.303	.364	.415	.778
*Kobayashi*	JPN	27	13	53	41	15	4	0	0	15	7	5	11	1	0	0	4	0	.366	.463	.509	.973
*Kuck*	GER	16	3	5	5	2	0	0	0	1	1	2	0	0	0	0	2	0	.400	.400	.400	.800
*Leisner*	GER	25	10	27	25	1	0	0	0	1	3	15	0	2	0	0	0	0	.040	.040	.111	.151
*Montens*	GER	40	13	40	34	6	2	0	0	4	5	6	6	0	0	0	1	2	.176	.235	.300	.535
*Neumann*	GER	41	10	36	36	13	1	0	0	4	6	2	0	0	0	0	0	1	.361	.389	.361	.750
Olschimke	GER	26	15	66	55	19	1	1	0	14	17	4	7	0	4	0	6	1	.345	.400	.394	.794
*Otte*	GER	31	17	53	40	12	4	0	0	16	8	10	11	2	0	0	9	0	.300	.400	.472	.872
*Paczkowski*	GER	26	5	17	17	4	0	0	0	3	1	7	0	0	0	0	0	0	.235	.235	.235	.471
*Schmitz-Elvenich*	GER	19	1	2	2	0	0	0	0	0	0	2	0	0	0	0	0	0	.000	.000	.000	.000
*Schober*			5	11	10	0	0	0	0	0	0	5	1	0	0	0	0	0	.000	.000	.091	.091
*Schwenke*	GER	37	10	28	23	3	1	0	0	4	1	4	5	0	0	0	1	0	.130	.174	.286	.460
*Sengbusch*	GER	18	1	2	2	0	0	0	0	0	0	2	0	0	0	0	0	0	.000	.000	.000	.000
*Szygowski*	GER	40	12	49	43	13	3	1	0	13	11	6	4	1	1	0	6	1	.302	.419	.367	.786
*Terbuyken*	GER	44	7	17	16	4	0	0	0	0	2	7	1	0	0	0	0	0	.250	.250	.294	.544
*Unterfrauner*	ITA	33	6	19	19	10	1	0	0	6	8	2	0	0	0	0	1	0	.526	.579	.526	1.105
Wodniok	GER	42	20	74	53	22	3	0	0	19	10	7	14	4	2	1	7	3	.415	.472	.548	1.020
*Zaske*	GER	19	2	5	5	0	0	0	0	0	0	3	0	0	0	0	0	0	.000	.000	.000	.000
Name	Nat	Age	G	PA	AB	H	2B	3B	HR	R	RBI	K	BB	HP	SF	SH	SB	CS	AVG	SLG	OBP	OPS

leadoff batters		30.1	26	119	91	34	5	0	0	35	12	16	24	1	2	1	13	2	.374	.429	.500	.929
2nd batters		30.6	26	114	94	30	5	1	0	22	25	13	14	2	4	0	9	1	.319	.394	.404	.797
3rd batters		32.8	26	114	88	24	6	1	0	21	16	14	19	6	1	0	6	3	.273	.364	.430	.793
4th batters		31.4	26	108	92	26	2	0	1	18	23	18	13	3	0	0	4	1	.283	.337	.389	.726
5th batters		34.5	26	100	83	30	5	1	0	17	17	14	14	1	2	0	6	3	.361	.446	.450	.896
6th batters		31.1	26	101	89	30	4	0	0	19	16	18	8	4	0	0	2	2	.337	.382	.416	.798
7th batters		28.0	26	98	87	21	4	0	0	13	11	23	9	2	0	0	6	1	.241	.287	.327	.614
8th batters		31.0	26	95	87	19	4	1	0	16	10	21	6	1	0	0	4	0	.218	.287	.277	.564
9th batters		29.2	26	102	77	20	1	0	0	22	12	28	15	9	1	0	11	0	.260	.273	.431	.704

vs. BES		29.8		137	114	21	5	0	0	22	9	35	22	0	1	0	6	1	.184	.228	.314	.542
vs. BRE		29.9		71	50	18	4	0	0	18	19	7	17	2	2	0	3	1	.360	.440	.521	.961
vs. BSK		30.4		75	67	16	2	1	0	14	5	17	5	3	0	0	4	0	.239	.299	.320	.619
vs. DWF		30.0		129	108	27	3	1	0	13	10	31	14	3	3	1	12	0	.250	.296	.344	.640
vs. ELM		32.9		73	63	21	3	0	0	10	9	15	8	1	1	0	2	1	.333	.381	.411	.792
vs. HHS		31.4		81	67	21	2	0	0	11	11	10	10	2	1	0	1	0	.313	.343	.413	.756
vs. HRG		31.5		80	67	22	3	2	0	17	16	17	10	2	1	0	6	4	.328	.433	.425	.858
vs. HWS		32.4		152	121	45	7	0	0	44	37	19	20	10	1	0	13	1	.372	.430	.493	.923
vs. KIL		30.8		153	131	43	7	0	1	34	26	14	16	6	0	0	14	5	.328	.405	.425	.829
Name	Nat	Age	G	PA	AB	H	2B	3B	HR	R	RBI	K	BB	HP	SF	SH	SB	CS	AVG	SLG	OBP	OPS

Game 1		31.2		519	432	122	18	3	1	93	69	91	62	19	4	1	36	6	.282	.345	.393	.738
Game 2		30.7		432	356	112	18	1	0	90	73	74	60	10	6	0	25	7	.315	.371	.421	.792

homegames		31.0		445	363	119	20	1	0	100	80	68	57	16	7	1	32	3	.328	.388	.433	.822
awaygames		30.9		506	425	115	16	3	1	83	62	97	65	13	3	0	29	10	.271	.329	.381	.711

Foreign		25.2		83	70	25	5	0	0	21	15	12	12	1	0	0	5	0	.357	.429	.458	.886
GER		31.5		868	718	209	31	4	1	162	127	153	110	28	10	1	56	13	.291	.350	.401	.750

BES		25.4	24	912	733	233	36	3	3	203	158	147	136	33	5	5	74	14	.318	.387	.443	.831
BRE		29.2	24	934	767	271	37	9	3	222	179	120	119	28	15	5	94	11	.353	.437	.450	.887
BSK		28.6	24	979	763	261	37	9	5	231	187	105	146	41	16	13	88	7	.342	.434	.464	.898
DWF		27.5	23	873	691	201	41	2	3	161	127	135	133	34	8	7	73	8	.291	.369	.425	.794
ELM		30.9	26	972	780	219	38	4	12	208	162	156	135	41	11	5	108	8	.281	.386	.408	.794
HHK		31.0	26	951	788	234	36	4	1	183	142	165	122	29	10	1	61	13	.297	.357	.406	.762
HHS		26.3	23	920	721	214	36	8	5	210	161	136	132	46	15	6	97	15	.297	.390	.429	.819
HRG		29.6	26	961	795	218	30	5	1	168	132	152	121	26	12	6	35	6	.274	.328	.383	.711
HWS		30.9	23	770	602	139	14	3	1	126	93	144	135	24	7	2	64	9	.231	.269	.388	.657
KIL		28.2	21	779	630	173	28	5	5	150	118	146	115	23	7	4	93	9	.275	.359	.401	.760

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