Stand: 2009-09-06

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2. Bundesliga Süd

Sortable Teamstats: Neuenburg Atomics (NAT)

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Name	Nat	Age	G	PA	AB	H	2B	3B	HR	R	RBI	K	BB	HP	SF	SH	SB	CS	AVG	SLG	OBP	OPS
Aucoin	USA	25	26	108	88	33	3	4	2	31	12	8	15	3	2	0	19	3	.375	.568	.472	1.040
Gerth	GER	34	4	8	7	3	0	0	0	2	2	0	0	0	0	1	0	0	.429	.429	.429	.857
Marino	GER	25	30	102	75	17	3	0	0	15	14	12	22	1	2	3	13	1	.227	.267	.400	.667
Kolbe	GER	32	27	98	80	26	0	0	0	15	13	6	7	1	0	10	5	0	.325	.325	.386	.711
Piscatelli	USA	33	30	114	91	19	8	0	0	15	20	13	17	4	2	0	10	2	.209	.297	.351	.648
Giemsa	GER	21	11	35	25	2	1	0	0	6	0	6	10	0	0	0	2	0	.080	.120	.343	.463
von der Brelie	GER	24	30	101	79	17	6	0	0	11	11	26	7	9	2	4	9	0	.215	.291	.340	.631
Müller	GER	27	30	113	100	26	5	1	0	15	18	13	11	0	0	2	14	2	.260	.330	.333	.663
JSchmitt	GER	15	16	28	21	3	0	0	0	4	2	8	6	0	0	1	0	0	.143	.143	.333	.476
Daroczi	HUN	21	30	103	88	20	0	0	0	14	16	12	11	1	2	0	6	1	.227	.227	.314	.541
Niemann	GER	23	30	111	97	20	3	0	0	11	9	19	3	10	0	1	5	1	.206	.237	.300	.537
MSchmidt	GER	28	13	23	18	2	1	0	0	3	1	4	3	0	0	2	0	1	.111	.167	.238	.405
Millet	GER	15	20	50	46	7	1	0	0	4	4	19	2	0	0	2	2	1	.152	.174	.188	.361
Kniffin	USA	22	3	4	4	0	0	0	0	0	0	2	0	0	0	0	0	0	.000	.000	.000	.000
Schuy	GER	27	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	.000	.000	.000	.000
leadoff batters		25.5	30	124	100	39	4	4	2	35	15	9	16	5	2	1	21	3	.390	.570	.488	1.058
6th batters		24.7	30	109	88	24	2	0	0	12	19	19	13	3	2	4	12	0	.273	.295	.377	.673
3rd batters		27.8	30	115	101	27	5	1	0	16	18	13	11	0	0	3	15	2	.267	.337	.339	.676
4th batters		33.5	30	115	92	18	8	0	0	14	20	14	17	4	2	0	9	2	.196	.283	.339	.622
5th batters		22.1	30	113	91	17	0	0	0	18	7	11	18	2	1	0	10	2	.187	.187	.330	.517
2nd batters		28.7	30	119	103	26	3	0	0	15	15	13	8	2	0	6	2	0	.252	.282	.319	.600
9th batters		25.9	30	95	77	15	1	0	0	11	8	17	8	4	0	6	5	1	.195	.208	.303	.511
8th batters		20.7	30	102	79	13	2	0	0	13	14	28	15	1	1	6	4	1	.165	.190	.302	.492
7th batters		23.6	30	107	89	16	6	0	0	12	6	24	8	8	2	0	7	1	.180	.247	.299	.546
Name	Nat	Age	G	PA	AB	H	2B	3B	HR	R	RBI	K	BB	HP	SF	SH	SB	CS	AVG	SLG	OBP	OPS
vs. DAW		26.3		161	133	44	9	3	0	28	24	22	23	4	1	0	19	1	.331	.444	.441	.885
vs. HOM		26.2		134	101	27	2	0	0	23	16	17	23	2	5	3	10	1	.267	.287	.397	.684
vs. ING		25.9		132	110	27	4	1	1	26	23	12	11	4	1	6	9	1	.245	.327	.333	.661
vs. TUB		25.4		70	51	7	0	0	0	6	3	12	7	8	0	4	9	2	.137	.137	.333	.471
vs. REG		26.4		145	115	23	5	0	0	15	14	15	21	1	0	8	4	2	.200	.243	.328	.572
vs. FRE		26.3		122	103	24	4	0	0	21	18	18	11	4	2	2	11	2	.233	.272	.325	.597
vs. LAD		25.7		136	116	26	3	1	0	18	17	26	13	4	0	3	13	2	.224	.267	.323	.591
vs. HEI		24.9		99	91	17	4	0	1	9	7	26	5	2	1	0	10	1	.187	.264	.242	.506
Game 1		26.0		539	441	113	21	4	1	80	66	86	65	18	5	10	48	8	.256	.329	.371	.699
Game 2		26.0		460	379	82	10	1	1	66	56	62	49	11	5	16	37	4	.216	.256	.320	.576
awaygames		26.0		556	452	111	20	2	1	87	74	73	64	18	4	18	44	6	.246	.305	.359	.664
homegames		25.9		443	368	84	11	3	1	59	48	75	50	11	6	8	41	6	.228	.283	.333	.616
Foreign		27.1		329	271	72	11	4	2	60	48	35	43	8	6	0	35	6	.266	.358	.375	.733
GER		25.4		670	549	123	20	1	0	86	74	113	71	21	4	26	50	6	.224	.264	.333	.597
DAW		24.6	32	1140	868	249	25	13	1	259	195	189	152	86	8	26	87	11	.287	.349	.437	.786
REG		18.9	32	1081	880	280	55	7	5	246	209	139	148	24	12	17	124	22	.318	.414	.425	.838
HOM		25.7	32	1073	861	242	42	0	1	210	169	120	131	59	11	11	93	12	.281	.333	.407	.740
HEI		21.7	32	1028	877	282	46	5	2	206	153	120	100	32	10	9	104	15	.322	.392	.406	.799
LAD		24.7	31	999	849	241	34	1	3	182	146	154	104	19	6	20	57	21	.284	.337	.372	.709
ING		29.4	31	976	827	224	31	5	2	148	110	148	96	31	6	16	63	10	.271	.328	.366	.693
FRE		24.0	32	1012	858	215	30	5	1	146	103	166	108	31	6	9	74	21	.251	.301	.353	.654
TUB		28.6	30	933	773	187	35	3	2	126	77	156	111	22	4	23	41	9	.242	.303	.352	.654
NAT		26.0	30	999	820	195	31	5	2	146	122	148	114	29	10	26	85	12	.238	.295	.347	.643

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