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Bundesliga


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Statistiken Deutscher Baseball und Softball Verband

Stand: 2018-10-03

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2. Bundesliga Nordwest

Sortable Teamstats: Cologne Cardinals 2 (COC)

Sortstats Offense | Teamstats | Extended Teamstats | Game Summaries

Name	Nat	Age	GP	GS	CG	IP	BF	H	R	ER	2B	3B	HR	K	BB	IBB	HB	WP	W	L	S	ERA	K/IP	WHIP	OAVG	OSLG	OOBP	OOPS
*Dickhoff*	GER	31	8	3	2	30.2	152	43	22	12	10	0	1	18	16	0	0	2	0	3	1	3.52	0.59	1.92	.326	.424	.396	.820
*Dunskus*	GER	17	2	1	0	2.0	19	2	8	8	0	1	0	0	9	0	3	1	0	1	0	36.00	0.00	5.50	.286	.571	.737	1.308
*Fischer Martin*	GER	16	4	1	1	16.2	83	18	12	7	3	0	0	6	13	1	3	2	1	1	0	3.78	0.36	1.86	.286	.333	.420	.753
*Gorsch*	GER	20	1	1	1	5.0	20	2	0	0	0	0	0	4	2	0	0	1	1	0	0	0.00	0.80	0.80	.111	.111	.200	.311
*Kawczynski*	GER	18	3	0	0	3.2	13	3	2	2	1	0	0	2	1	0	0	1	0	0	1	4.91	0.55	1.09	.273	.364	.308	.671
*Kuhn*	GER	16	5	5	0	16.1	101	30	28	24	4	1	0	10	19	0	2	4	1	4	0	13.22	0.61	3.00	.385	.462	.505	.966
*Kujau*	GER	41	4	1	0	12.2	66	13	13	11	1	1	0	12	10	0	4	2	1	0	0	7.82	0.95	1.82	.255	.314	.409	.723
*Lauffer*	GER	19	3	1	1	8.0	45	10	10	9	1	1	0	5	7	0	2	1	1	0	0	10.13	0.63	2.13	.286	.371	.422	.794
*Liere Paz*	GER	27	1	1	0	0.0	5	1	4	4	0	0	0	0	3	0	1	2	0	1	0	---	---	---	1.000	1.000	1.000	2.000
*Müller*	GER	49	1	0	0	4.0	20	7	3	1	0	0	0	1	0	0	0	0	0	0	0	2.25	0.25	1.75	.350	.350	.350	.700
*APiontek*	GER	22	6	5	1	33.0	170	42	34	22	6	0	0	23	26	0	6	6	2	2	0	6.00	0.70	2.06	.309	.353	.438	.791
*MPiontek*	GER	16	1	0	0	1.1	14	6	8	6	1	0	0	2	3	0	0	0	0	0	0	40.50	1.50	6.75	.545	.636	.643	1.279
*NPiontek*	GER	20	4	2	0	19.0	76	13	5	4	2	1	0	23	9	0	2	2	2	0	1	1.89	1.21	1.16	.191	.250	.300	.550
*Roitzsch*	GER	21	3	0	0	6.1	28	3	0	0	1	0	0	10	8	0	0	2	1	0	1	0.00	1.58	1.74	.150	.200	.393	.593
*PStattler*	GER	17	7	7	1	39.2	190	32	25	13	3	1	0	31	33	1	5	12	3	2	0	2.95	0.78	1.64	.215	.248	.372	.621
*Winskowski*	GER	18	2	0	0	3.1	13	3	0	0	0	0	0	1	0	0	0	0	1	0	0	0.00	0.30	0.90	.231	.231	.231	.462

reliever		26.6	27	0	0	63.0	324	79	55	43	12	2	0	45	56	1	7	8	3	1	4	6.14	0.71	2.14	.310	.373	.438	.811
starter		21.7	28	28	7	138.2	691	149	119	80	21	4	1	103	103	1	21	30	11	13	0	5.19	0.74	1.82	.267	.324	.397	.722
Name	Nat	Age	GP	GS	CG	IP	BF	H	R	ER	2B	3B	HR	K	BB	IBB	HB	WP	W	L	S	ERA	K/IP	WHIP	OAVG	OSLG	OOBP	OOPS

vs. BON		25.3	7	4	1	25.2	150	42	42	25	10	2	0	13	27	1	6	9	0	4	0	8.77	0.51	2.69	.368	.491	.507	.998
vs. DOW		22.3	7	4	1	31.0	160	32	20	16	4	0	1	36	24	1	6	4	2	2	1	4.65	1.16	1.81	.250	.305	.390	.695
vs. NKN		23.5	9	4	0	31.0	140	32	16	11	4	0	0	12	17	0	2	3	3	1	0	3.19	0.39	1.58	.264	.298	.364	.662
vs. PAD		21.6	7	4	2	28.0	129	22	19	11	2	2	0	18	16	0	7	6	1	3	0	3.54	0.64	1.36	.212	.269	.352	.621
vs. RAT		19.3	8	4	1	30.0	151	33	27	22	5	0	0	14	30	0	2	7	2	2	1	6.60	0.47	2.10	.287	.330	.430	.761
vs. SOL		22.1	8	4	2	27.0	126	25	15	10	2	0	0	29	24	0	1	5	4	0	1	3.33	1.07	1.81	.248	.267	.397	.664
vs. WES		28.5	9	4	0	29.0	159	42	35	28	6	2	0	26	21	0	4	4	2	2	1	8.69	0.90	2.17	.323	.400	.421	.821

Game 1		22.6	29	14	2	119.2	582	119	83	56	18	1	0	93	92	2	16	26	9	5	3	4.21	0.78	1.76	.255	.298	.392	.690
Game 2		24.1	26	14	5	82.0	433	109	91	67	15	5	1	55	67	0	12	12	5	9	1	7.35	0.67	2.15	.314	.395	.435	.830

homegames		22.0	31	14	2	104.0	528	110	92	58	14	5	1	76	90	0	13	15	8	6	3	5.02	0.73	1.92	.264	.329	.406	.735
awaygames		24.5	24	14	5	97.2	487	118	82	65	19	1	0	72	69	2	15	23	6	8	1	5.99	0.74	1.91	.297	.350	.416	.766

GER		23.2	55	28	7	201.2	1015	228	174	123	33	6	1	148	159	2	28	38	14	14	4	5.49	0.73	1.92	.280	.339	.410	.750

BON		20.9	55	28	7	206.0	1004	226	159	107	31	8	0	166	121	2	29	36	20	8	4	4.67	0.81	1.68	.270	.326	.379	.704
COC		23.2	55	28	7	201.2	1015	228	174	123	33	6	1	148	159	2	28	38	14	14	4	5.49	0.73	1.92	.280	.339	.410	.750
DOW		23.7	53	28	6	203.0	1010	213	184	126	31	8	1	174	144	4	31	27	14	14	4	5.59	0.86	1.76	.259	.320	.386	.706
NKN		26.1	42	28	17	210.1	985	216	162	107	29	12	7	223	105	2	28	37	13	15	2	4.58	1.06	1.53	.257	.346	.356	.702
PAD		18.0	82	28	0	205.1	991	132	135	106	15	1	1	239	213	1	43	56	22	6	7	4.65	1.16	1.68	.182	.210	.393	.603
RAT		28.5	56	28	6	202.1	1127	320	283	195	44	14	16	107	133	6	38	61	7	21	1	8.67	0.53	2.24	.343	.472	.438	.910
SOL		21.0	52	28	10	189.0	1122	325	318	227	49	13	5	143	168	2	29	71	4	24	1	10.81	0.76	2.61	.356	.455	.466	.921
WES		23.9	40	28	18	207.2	1000	228	156	108	30	13	3	142	132	1	18	23	18	10	4	4.68	0.68	1.73	.271	.349	.379	.728

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