Stand: 2020-10-11

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2. Bundesliga Nord

Sortable Teamstats: Braunschweig 89ers (BSK)

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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
Kaluza	GER	42	6	6	4	37.0	169	35	20	11	7	0	0	28	14	0	5	6	3	1	0	2.68	0.76	1.32	.240	.288	.323	.611
Freise	GER	24	3	2	0	13.0	63	12	12	11	2	1	0	9	11	0	3	7	1	0	0	7.62	0.69	1.77	.255	.340	.413	.753
Kockmann	GER	23	5	0	0	14.1	61	13	6	4	1	0	0	15	7	0	1	2	1	2	1	2.51	1.05	1.40	.255	.275	.350	.625
Mühlen	GER	23	3	2	0	7.0	51	11	14	8	1	0	0	9	17	0	1	2	0	2	0	10.29	1.29	4.00	.379	.414	.580	.994
Cramer	GER	20	1	0	0	2.0	11	0	0	0	0	0	0	3	4	0	0	1	1	0	0	0.00	1.50	2.00	.000	.000	.364	.364
Strübing	GER	41	1	0	0	0.2	2	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0.00	1.50	0.00	.000	.000	.000	.000
Voigt	GER	26	1	1	0	0.0	6	0	4	3	0	0	0	0	5	0	0	5	0	0	0	---	---	---	.000	.000	.833	.833
starter		37.5	11	11	4	51.2	259	53	43	28	9	0	0	42	41	0	8	15	4	2	0	4.88	0.81	1.82	.262	.307	.397	.704
reliever		23.6	9	0	0	22.1	104	18	13	9	2	1	0	23	17	0	2	8	2	3	1	3.63	1.03	1.57	.222	.272	.363	.634
vs. BES		33.0	3	2	1	14.0	73	17	13	6	4	0	0	14	9	0	2	2	1	1	0	3.86	1.00	1.86	.288	.356	.389	.745
vs. HHK		34.2	4	2	1	13.0	64	13	13	9	3	1	0	7	11	0	1	12	1	1	0	6.23	0.54	1.85	.260	.360	.397	.757
vs. HHS		42.9	1	1	1	6.0	29	6	6	3	2	0	0	6	2	0	2	2	0	1	0	4.50	1.00	1.33	.240	.320	.345	.665
vs. DWF		30.1	4	2	0	14.0	73	15	9	7	1	0	0	12	14	0	3	1	2	0	0	4.50	0.86	2.07	.278	.296	.438	.735
vs. KIL		31.5	5	2	0	14.0	64	8	8	6	1	0	0	17	12	0	1	5	1	1	1	3.86	1.21	1.43	.167	.188	.333	.521
vs. BRE		33.7	3	2	1	13.0	60	12	7	6	0	0	0	9	10	0	1	1	1	1	0	4.15	0.69	1.69	.255	.255	.390	.645
Game 1		41.1	9	6	4	41.0	194	37	23	13	7	0	0	34	22	0	6	8	4	2	0	2.85	0.83	1.44	.231	.275	.340	.615
Game 2		23.7	11	5	0	33.0	169	34	33	24	4	1	0	31	36	0	4	15	2	3	1	6.55	0.94	2.12	.276	.325	.440	.766
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
homegames		31.6	12	6	1	42.0	210	40	30	19	6	0	0	43	35	0	6	8	4	2	1	4.07	1.02	1.79	.248	.286	.389	.675
awaygames		35.6	8	5	3	32.0	153	31	26	18	5	1	0	22	23	0	4	15	2	3	0	5.06	0.69	1.69	.254	.311	.384	.696
GER		33.3	20	11	4	74.0	363	71	56	37	11	1	0	65	58	0	10	23	6	5	1	4.50	0.88	1.74	.251	.297	.387	.684
DWF		24.2	20	12	6	78.1	391	89	65	48	17	2	2	70	60	1	10	14	5	7	1	5.51	0.89	1.90	.283	.369	.413	.782
HHK		30.4	29	12	1	73.0	431	108	125	90	14	6	2	59	84	0	7	29	1	11	0	11.10	0.81	2.63	.325	.422	.465	.887
BSK		33.3	20	11	4	74.0	363	71	56	37	11	1	0	65	58	0	10	23	6	5	1	4.50	0.88	1.74	.251	.297	.387	.684
KIL		29.7	22	12	2	79.0	412	98	74	54	10	0	0	44	61	1	14	14	7	5	2	6.15	0.56	2.01	.300	.330	.427	.757
BES		33.9	32	12	2	78.2	409	86	81	50	10	0	0	45	64	2	19	20	5	6	1	5.72	0.57	1.91	.270	.301	.417	.718
HHS		22.1	24	11	2	69.2	306	59	37	26	8	0	1	34	31	1	10	7	9	1	4	3.36	0.49	1.29	.230	.272	.331	.603
BRE		30.0	28	12	1	84.0	377	54	42	31	6	2	0	52	65	5	6	15	7	5	2	3.32	0.62	1.42	.179	.213	.334	.547

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