Stand: 2008-07-27

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1. 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
Gerth	GER	33	12	23	22	3	0	0	0	2	0	7	1	0	0	0	0	0	.136	.136	.174	.310
Giemsa	GER	20	14	52	45	9	1	0	0	6	3	12	7	0	0	0	2	1	.200	.222	.308	.530
Güldner	GER	17	2	3	3	0	0	0	0	0	0	3	0	0	0	0	0	0	.000	.000	.000	.000
Kolbe	GER	31	24	75	66	10	0	0	0	6	0	12	4	1	0	4	1	0	.152	.152	.211	.363
Marino	GER	24	26	86	77	11	3	0	0	4	4	34	7	1	1	0	2	0	.143	.182	.221	.403
Müller	GER	26	28	108	99	25	2	1	0	6	11	22	6	0	3	0	9	3	.253	.293	.287	.580
Niemann	GER	22	28	109	89	19	2	0	0	11	1	22	8	11	0	1	0	3	.213	.236	.352	.588
Schmidt	GER	27	4	13	10	0	0	0	0	1	0	7	2	0	0	1	0	1	.000	.000	.167	.167
Schuy	GER	26	16	43	40	1	0	0	0	1	0	14	3	0	0	0	1	0	.025	.025	.093	.118
Schwarzl	GER	20	12	45	45	9	4	1	0	1	2	14	0	0	0	0	1	2	.200	.333	.200	.533
von der Brelie	GER	23	28	106	94	14	1	0	0	3	6	37	4	6	0	2	3	3	.149	.160	.231	.390
RaWidmann	GER	36	7	27	24	4	0	0	0	2	0	11	2	0	0	1	0	1	.167	.167	.231	.397
RoWidmann	GER	32	11	30	28	1	0	0	0	2	1	8	0	0	1	1	0	0	.036	.036	.034	.070
Piscatelli	USA	32	28	112	95	22	7	1	0	12	12	29	11	4	2	0	3	1	.232	.326	.330	.657
Spanjer	USA	30	28	114	100	33	5	0	0	12	11	11	13	0	0	1	9	0	.330	.380	.407	.787
leadoff batters		27.8	28	116	99	30	6	0	0	16	3	15	12	5	0	0	6	1	.303	.364	.405	.769
2nd batters		24.2	28	113	97	23	1	0	0	13	4	21	14	2	0	0	5	4	.237	.247	.345	.593
3rd batters		32.6	28	112	95	23	7	1	0	12	12	30	11	4	2	0	3	1	.242	.337	.339	.676
4th batters		26.4	28	110	102	20	4	1	0	3	14	24	3	1	2	2	7	0	.196	.255	.222	.477
5th batters		24.6	28	108	98	20	2	1	0	3	12	23	2	5	1	2	6	2	.204	.245	.255	.500
6th batters		26.4	28	103	93	13	1	0	0	2	1	38	6	2	0	2	1	5	.140	.151	.208	.358
7th batters		24.8	28	100	88	15	2	0	0	3	3	36	8	2	1	1	1	1	.170	.193	.253	.446
8th batters		29.1	28	93	83	5	2	0	0	8	1	28	6	1	0	3	1	0	.060	.084	.133	.218
9th batters		30.2	28	91	82	12	0	0	0	9	1	28	6	1	1	1	1	1	.146	.146	.211	.357
Name	Nat	Age	G	PA	AB	H	2B	3B	HR	R	RBI	K	BB	HP	SF	SH	SB	CS	AVG	SLG	OBP	OPS
vs. GAU		27.1		154	132	29	8	0	0	21	16	41	15	4	3	0	5	4	.220	.280	.312	.592
vs. HAA		27.4		142	128	26	5	0	0	8	7	27	9	2	2	1	10	3	.203	.242	.262	.505
vs. HEI		26.8		109	100	21	1	0	0	4	2	28	6	1	0	2	2	2	.210	.220	.262	.482
vs. MAI		27.2		145	132	28	3	1	0	9	7	40	5	5	0	3	7	0	.212	.250	.268	.518
vs. MAT		27.5		135	119	23	3	2	0	19	15	40	10	4	1	1	2	0	.193	.252	.276	.528
vs. REG		27.9		124	110	14	2	0	0	2	1	40	9	3	0	2	3	2	.127	.145	.213	.359
vs. SLS		27.3		137	116	20	3	0	0	6	3	27	14	4	1	2	2	4	.172	.198	.281	.480
Game 1		27.3		471	426	84	8	1	0	34	28	121	27	12	2	4	15	7	.197	.221	.263	.484
Game 2		27.3		475	411	77	17	2	0	35	23	122	41	11	5	7	16	8	.187	.238	.276	.514
homegames		27.4		490	430	81	13	2	0	39	31	110	34	17	5	4	19	8	.188	.228	.272	.500
awaygames		27.2		456	407	80	12	1	0	30	20	133	34	6	2	7	12	7	.197	.231	.267	.498
GER		25.9		720	642	106	13	2	0	45	28	203	44	19	5	10	19	14	.165	.192	.238	.430
Foreign		31.8		226	195	55	12	1	0	24	23	40	24	4	2	1	12	1	.282	.354	.369	.723
GAU		23.7	28	1055	903	199	24	1	4	118	92	210	101	30	3	16	48	12	.220	.262	.318	.581
HAA		25.6	28	1007	898	197	33	5	5	104	86	211	86	7	3	13	19	3	.219	.284	.292	.576
HEI		25.4	28	1204	1008	331	70	6	11	251	211	122	129	40	18	8	65	9	.328	.442	.418	.861
MAI		23.4	28	1170	964	265	54	2	13	164	129	215	156	24	11	15	28	5	.275	.376	.385	.761
MAT		24.9	28	1138	933	268	40	12	17	197	157	138	120	34	22	29	31	9	.287	.411	.381	.791
NAT		27.3	28	946	837	161	25	3	0	69	51	243	68	23	7	11	31	15	.192	.229	.270	.499
REG		24.4	28	1152	937	288	41	3	17	195	146	158	123	48	6	36	68	22	.307	.412	.412	.824
SLS		28.0	28	1042	872	203	36	7	5	119	85	176	104	30	11	25	39	13	.233	.307	.331	.639

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