Stand: 2009-08-02

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Softball Bundesliga Süd

Sortable Teamstats: Augsburg Dirty Slugs (ADS)

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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
Baylor	GER	25	23	75	68	22	2	0	1	11	14	12	5	1	0	1	6	1	.324	.397	.378	.775
Engelhardt	GER	19	16	34	28	3	0	0	0	5	1	14	6	0	0	0	0	1	.107	.107	.265	.372
LFischer	GER	17	3	6	6	1	0	0	0	0	0	2	0	0	0	0	0	0	.167	.167	.167	.333
Holland	GER	15	17	38	34	6	0	0	0	3	0	10	2	2	0	0	0	0	.176	.176	.263	.440
Kasadaj	GER	14	3	2	2	0	0	0	0	0	0	2	0	0	0	0	0	0	.000	.000	.000	.000
PKonrad	GER	21	19	58	49	13	2	0	0	5	8	7	9	0	0	0	1	0	.265	.306	.379	.685
SKonrad	GER	26	22	65	55	8	4	0	0	11	5	8	7	1	0	2	2	1	.145	.218	.254	.472
Lehnhardt	GER	25	18	53	51	10	2	0	0	3	7	11	1	1	0	0	1	0	.196	.235	.226	.462
Nagy	GER	17	2	2	2	0	0	0	0	0	0	2	0	0	0	0	0	1	.000	.000	.000	.000
Oberst	GER	17	2	3	3	0	0	0	0	0	0	2	0	0	0	0	0	0	.000	.000	.000	.000
Prinz	GER	25	4	6	6	0	0	0	0	0	0	4	0	0	0	0	0	0	.000	.000	.000	.000
Rauscher	GER	33	22	59	58	13	0	0	0	10	5	8	1	0	0	0	1	0	.224	.224	.237	.461
Seifert	GER	23	21	69	64	24	1	0	0	20	7	8	3	0	0	2	16	1	.375	.391	.403	.794
Smeja	GER	27	3	8	7	3	0	0	0	2	0	1	1	0	0	0	0	0	.429	.429	.500	.929
Zipf	GER	27	5	11	11	1	0	0	0	3	0	3	0	0	0	0	1	0	.091	.091	.091	.182
Greipel	GER	17	23	78	60	18	2	1	0	16	9	15	15	2	0	1	11	1	.300	.367	.455	.821
Schälchli	GER	35	21	65	52	17	1	1	0	13	12	1	6	2	0	5	7	1	.327	.385	.417	.801
Name	Nat	Age	G	PA	AB	H	2B	3B	HR	R	RBI	K	BB	HP	SF	SH	SB	CS	AVG	SLG	OBP	OPS
2nd batters		26.1	23	76	65	23	3	0	0	19	10	6	8	0	0	3	16	2	.354	.400	.425	.825
3rd batters		26.7	23	76	64	17	0	0	0	14	11	8	7	2	0	3	8	0	.266	.266	.356	.622
4th batters		25.5	23	73	69	13	4	0	0	10	10	13	3	1	0	0	4	0	.188	.246	.233	.479
6th batters		29.2	23	68	63	18	1	0	0	8	5	10	2	2	0	1	0	1	.286	.302	.328	.630
7th batters		24.6	23	66	60	16	1	0	0	9	3	11	6	0	0	0	2	0	.267	.283	.333	.617
8th batters		22.3	23	65	56	10	2	0	0	9	4	13	7	2	0	0	0	1	.179	.214	.292	.507
9th batters		21.5	23	61	55	6	0	0	1	8	3	24	6	0	0	0	1	1	.109	.164	.197	.360
leadoff batters		17.8	23	79	61	18	2	1	0	16	9	16	14	2	0	2	11	1	.295	.361	.442	.802
5th batters		29.0	23	68	63	18	1	1	0	9	13	9	3	0	0	2	4	1	.286	.333	.318	.652
vs. FRE		24.6		99	78	17	1	0	0	19	13	12	19	2	0	0	4	1	.218	.231	.384	.615
vs. HAA		24.8		89	80	18	1	0	0	9	5	24	5	1	0	3	8	2	.225	.238	.279	.517
vs. HER		23.9		103	100	19	3	0	0	14	8	20	3	0	0	0	12	1	.190	.220	.214	.434
vs. MAT		24.2		87	72	10	0	0	0	3	2	28	10	2	0	3	0	2	.139	.139	.262	.401
vs. DAR		25.5		120	104	41	6	1	0	39	29	12	11	2	0	3	14	1	.394	.471	.462	.933
vs. KAR		25.0		134	122	34	3	1	1	18	11	14	8	2	0	2	8	0	.279	.344	.333	.678
Game 2		24.7		284	259	64	6	0	0	48	29	58	17	4	0	4	19	3	.247	.270	.304	.574
Game 1		24.7		348	297	75	8	2	1	54	39	52	39	5	0	7	27	4	.253	.303	.349	.652
Name	Nat	Age	G	PA	AB	H	2B	3B	HR	R	RBI	K	BB	HP	SF	SH	SB	CS	AVG	SLG	OBP	OPS
awaygames		24.9		307	277	74	6	0	0	51	34	54	18	6	0	6	23	3	.267	.289	.326	.614
homegames		24.5		325	279	65	8	2	1	51	34	56	38	3	0	5	23	4	.233	.287	.331	.618
GER		24.7		632	556	139	14	2	1	102	68	110	56	9	0	11	46	7	.250	.288	.329	.616
ADS		24.7	23	632	556	139	14	2	1	102	68	110	56	9	0	11	46	7	.250	.288	.329	.616
DAR		27.8	24	469	393	54	7	4	0	34	18	126	61	9	0	6	7	13	.137	.176	.268	.443
HER		23.3	24	707	575	164	25	7	2	140	99	114	96	14	9	13	77	16	.285	.363	.395	.758
KAR		24.5	24	756	645	190	21	12	0	155	112	145	93	10	2	6	34	6	.295	.364	.391	.755
HAA		23.4	24	761	625	237	33	15	7	217	171	94	91	25	12	8	59	8	.379	.514	.469	.982
MAT		27.1	22	696	577	221	38	17	7	237	180	71	90	14	7	8	24	4	.383	.544	.472	1.017
FRE		26.0	21	707	592	211	20	21	3	180	121	83	87	12	10	6	43	5	.356	.476	.442	.919

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