Stand: 2019-08-25

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Softball Bundesliga

Sortable Teamstats: Tornados (MAT)

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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
Hörner	GER	31	12	9	3	48.1	218	38	29	24	6	3	0	59	24	0	5	8	3	2	0	3.48	1.22	1.28	.220	.289	.324	.613
Schöne	GER	28	12	6	2	41.0	254	78	73	44	12	5	1	24	34	3	2	12	3	6	1	7.51	0.59	2.73	.377	.498	.463	.961
LFrener	GER	24	10	7	2	32.0	154	35	18	10	5	0	0	9	13	0	1	4	2	3	0	2.19	0.28	1.50	.261	.299	.331	.630
Cewe	GER	23	8	1	0	16.2	100	26	30	25	4	0	3	6	18	0	3	6	2	1	0	10.50	0.36	2.64	.356	.534	.490	1.024
Neitzel	GER	22	3	1	0	5.2	45	11	18	14	2	2	0	1	12	0	2	0	0	2	0	17.29	0.18	4.06	.367	.567	.556	1.122
starter		28.1	24	24	7	100.1	526	130	110	82	20	8	3	75	62	1	9	15	5	9	0	5.72	0.75	1.91	.302	.407	.396	.803
reliever		26.4	21	0	0	43.1	245	58	58	35	9	2	1	24	39	2	4	15	5	5	1	5.65	0.55	2.24	.310	.396	.430	.826
vs. FRE		30.3	3	2	1	14.1	64	11	11	8	1	1	1	21	6	0	0	1	0	2	0	3.91	1.47	1.19	.216	.333	.298	.632
vs. TUB		29.9	4	2	0	13.2	73	15	12	3	2	0	0	17	10	2	2	5	1	1	0	1.54	1.24	1.83	.259	.293	.380	.673
vs. REG		28.2	3	2	1	15.0	66	9	10	7	2	0	0	16	7	0	1	3	1	1	0	3.27	1.07	1.07	.167	.204	.270	.474
vs. WES		28.6	6	4	2	22.2	131	46	33	27	6	6	0	11	11	0	3	5	0	4	0	8.34	0.49	2.51	.418	.582	.472	1.054
vs. BON		26.4	9	4	0	24.0	134	33	25	20	6	0	1	10	24	0	2	7	3	1	0	5.83	0.42	2.38	.317	.404	.447	.851
vs. NKN		26.5	9	4	1	23.0	132	31	38	22	4	2	0	10	19	0	2	4	1	3	0	6.70	0.43	2.17	.313	.394	.423	.817
vs. HHK		25.0	8	4	1	19.0	115	32	35	26	6	1	2	7	17	1	2	5	2	2	0	9.58	0.37	2.58	.344	.495	.451	.946
vs. KAR		27.8	3	2	1	12.0	56	11	4	4	2	0	0	7	7	0	1	0	2	0	1	2.33	0.58	1.50	.229	.271	.339	.610
Game 1		28.1	20	12	4	74.1	372	90	73	48	14	4	2	56	39	0	6	14	6	6	1	4.52	0.75	1.74	.299	.392	.382	.774
Game 2		27.0	25	12	3	69.1	399	98	95	69	15	6	2	43	62	3	7	16	4	8	0	6.97	0.62	2.31	.310	.415	.429	.844
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
awaygames		28.2	24	12	3	72.2	403	105	95	69	19	5	4	56	56	3	7	21	4	8	0	6.65	0.77	2.22	.334	.465	.440	.905
homegames		27.0	21	12	4	71.0	368	83	73	48	10	5	0	43	45	0	6	9	6	6	1	4.73	0.61	1.80	.274	.340	.372	.712
GER		27.6	45	24	7	143.2	771	188	168	117	29	10	4	99	101	3	13	30	10	14	1	5.70	0.69	2.01	.305	.404	.407	.811
TUB		27.3	29	28	27	171.1	818	222	152	96	31	14	4	171	37	4	7	39	11	17	0	3.92	1.00	1.51	.299	.395	.335	.730
WES		27.8	35	24	13	141.0	615	123	61	33	18	4	0	137	56	11	13	6	23	1	3	1.64	0.97	1.27	.233	.282	.321	.602
NKN		27.3	27	24	21	145.1	639	136	88	59	17	7	2	136	45	5	9	8	17	7	0	2.84	0.94	1.25	.242	.308	.304	.612
BON		21.2	42	24	11	140.0	740	195	163	122	27	11	4	117	94	25	11	49	12	12	0	6.10	0.84	2.06	.313	.410	.410	.820
FRE		19.3	41	28	18	167.1	813	162	119	81	16	5	4	113	116	6	13	51	20	8	1	3.39	0.68	1.66	.246	.304	.368	.672
KAR		26.9	40	28	18	173.0	855	212	160	104	27	15	1	100	81	7	9	33	7	21	1	4.21	0.58	1.69	.287	.369	.363	.731
MAT		27.6	45	24	7	143.2	771	188	168	117	29	10	4	99	101	3	13	30	10	14	1	5.70	0.69	2.01	.305	.404	.407	.811
REG		19.8	43	28	15	167.2	850	209	176	127	32	7	2	98	105	7	20	45	14	14	2	5.30	0.58	1.87	.302	.378	.406	.784
HHK		25.3	47	24	5	131.1	792	235	227	163	33	19	1	69	126	10	13	56	2	22	0	8.69	0.53	2.75	.375	.494	.483	.976

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