Stand: 2016-09-11

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2. Bundesliga Nord

Sortable Teamstats: Berlin Sluggers (BES)

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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
Cieluch	GER	21	22	99	87	38	6	1	1	27	23	6	9	0	2	1	13	4	.437	.563	.480	1.043
Del Muro Puente	MEX	28	25	105	80	35	10	0	3	29	22	1	9	11	5	0	9	2	.438	.675	.524	1.199
Bergengrün	GER	22	22	95	73	25	5	1	1	21	12	16	12	8	2	0	3	0	.342	.479	.474	.953
Sanchez	GER	24	21	82	65	25	4	3	1	21	20	11	11	3	1	2	8	0	.385	.585	.488	1.072
Brochwitz	GER	26	14	56	48	18	5	0	0	9	16	2	4	1	2	1	0	0	.375	.479	.418	.897
Ventura	GER	20	19	68	57	17	4	1	0	15	10	8	7	1	2	1	8	1	.298	.404	.373	.777
Stiller	GER	32	18	61	46	16	3	0	0	14	5	6	12	1	1	1	1	1	.348	.413	.483	.896
Veisz	GER	43	18	68	49	16	2	1	0	13	12	8	11	5	2	1	4	1	.327	.408	.478	.886
Galkin	GER	24	19	68	48	13	3	0	0	17	11	8	12	3	2	3	6	3	.271	.333	.431	.764
Cooray	GER	38	12	36	25	10	1	1	0	4	7	3	8	1	2	0	0	0	.400	.520	.528	1.048
Shea	USA	35	13	42	38	9	0	0	0	3	4	6	3	0	1	0	0	0	.237	.237	.286	.523
Naumann	GER	35	15	43	36	8	0	0	0	4	7	5	5	1	1	0	1	0	.222	.222	.326	.548
Leglise	GER	25	11	30	23	7	2	0	0	8	4	8	6	1	0	0	2	1	.304	.391	.467	.858
Petit	NED	19	12	43	34	7	0	0	0	9	5	6	8	0	0	1	1	1	.206	.206	.357	.563
JThomas	USA	27	20	49	39	7	0	0	0	10	5	14	9	0	0	1	2	0	.179	.179	.333	.513
Charlé	GER	43	17	44	38	6	0	0	0	5	6	5	5	0	0	1	0	0	.158	.158	.256	.414
Lorenzen	GER	33	16	47	37	6	2	0	0	7	3	6	5	1	0	4	1	0	.162	.216	.279	.495
Gebert	GER	17	3	8	7	4	0	0	0	0	0	1	1	0	0	0	0	0	.571	.571	.625	1.196
Wolburg	GER	28	7	16	12	3	1	0	0	2	3	3	3	0	0	1	0	0	.250	.333	.400	.733
Breidbach	GER	17	2	3	3	2	0	0	0	0	0	0	0	0	0	0	1	0	.667	.667	.667	1.333
Fulber	GER	40	3	5	5	2	0	0	0	0	0	0	0	0	0	0	0	0	.400	.400	.400	.800
Henschel	GER	15	5	10	8	2	0	0	0	4	0	0	1	1	0	0	1	0	.250	.250	.400	.650
Banik	GER	19	2	2	1	1	0	0	0	1	0	0	1	0	0	0	0	0	1.000	1.000	1.000	2.000
Kummer	GER	33	5	10	8	1	0	0	0	1	0	4	1	0	0	1	1	0	.125	.125	.222	.347
Viethen	GER	32	9	16	14	1	0	0	0	1	1	6	2	0	0	0	0	0	.071	.071	.188	.259
Moreland	USA	30	2	3	2	0	0	0	0	0	0	0	1	0	0	0	0	0	.000	.000	.333	.333
Waidt	GER	47	1	1	1	0	0	0	0	0	0	1	0	0	0	0	0	0	.000	.000	.000	.000
Name	Nat	Age	G	PA	AB	H	2B	3B	HR	R	RBI	K	BB	HP	SF	SH	SB	CS	AVG	SLG	OBP	OPS
leadoff batters		25.0	28	135	113	49	6	1	1	32	30	14	17	0	3	2	10	7	.434	.531	.496	1.027
4th batters		26.1	28	126	101	38	11	0	1	24	19	8	10	11	4	0	8	1	.376	.515	.468	.983
3rd batters		24.7	28	124	101	34	5	4	2	30	30	15	14	4	5	0	7	1	.337	.525	.419	.944
5th batters		29.4	28	124	100	33	8	0	1	24	25	17	13	6	4	1	5	0	.330	.440	.423	.863
6th batters		32.9	28	121	88	32	5	1	0	23	16	11	24	4	1	4	7	2	.364	.443	.513	.956
7th batters		33.0	28	115	86	30	4	1	0	24	14	12	21	5	1	2	7	1	.349	.419	.496	.914
2nd batters		25.9	28	131	104	23	3	0	1	29	10	21	16	3	1	7	8	0	.221	.279	.339	.618
9th batters		29.2	28	118	97	21	4	1	0	22	20	23	16	3	2	0	5	0	.216	.278	.339	.617
8th batters		31.1	28	116	94	19	2	0	0	17	12	13	15	2	2	3	5	2	.202	.223	.319	.542
vs. HHK		27.9		165	133	49	8	3	0	40	34	19	23	4	3	2	16	1	.368	.474	.466	.940
vs. FLA		27.6		184	140	45	8	1	4	47	39	21	24	8	5	7	14	2	.321	.479	.435	.914
vs. HRG		28.4		157	125	43	4	3	1	38	32	16	23	4	5	0	7	3	.344	.448	.446	.894
vs. BEC		28.3		159	127	40	9	0	0	31	23	17	14	9	6	3	3	3	.315	.386	.404	.790
vs. BRE		28.5		144	123	37	5	0	1	13	9	15	14	3	2	2	9	2	.301	.366	.380	.746
vs. DWF		29.8		148	121	35	8	0	0	22	18	24	20	4	0	3	5	0	.289	.355	.407	.762
vs. KIL		29.3		153	115	30	6	1	0	34	21	22	28	6	2	2	8	3	.261	.330	.424	.754
Name	Nat	Age	G	PA	AB	H	2B	3B	HR	R	RBI	K	BB	HP	SF	SH	SB	CS	AVG	SLG	OBP	OPS
Game 1		28.6		615	482	148	35	4	4	126	100	71	92	23	12	6	27	13	.307	.421	.432	.853
Game 2		28.4		495	402	131	13	4	2	99	76	63	54	15	11	13	35	1	.326	.393	.415	.808
homegames		28.5		554	440	148	24	7	2	115	93	77	70	19	10	15	33	8	.336	.436	.440	.876
awaygames		28.5		556	444	131	24	1	4	110	83	57	76	19	13	4	29	6	.295	.381	.409	.790
GER		28.6		868	691	221	38	8	3	174	140	107	116	27	17	17	50	11	.320	.411	.428	.839
Foreign		28.1		242	193	58	10	0	3	51	36	27	30	11	6	2	12	3	.301	.399	.413	.811
BES		28.5	28	1110	884	279	48	8	6	225	176	134	146	38	23	19	62	14	.316	.408	.424	.833
BEC		26.6	28	998	837	257	30	7	9	189	146	155	99	39	9	14	54	24	.307	.392	.401	.793
BRE		26.2	28	1057	841	255	39	6	0	212	152	141	149	30	17	19	96	27	.303	.364	.419	.782
DWF		29.9	28	1113	844	249	51	1	6	262	195	139	202	43	12	12	37	5	.295	.379	.449	.828
HRG		24.5	28	1055	863	224	32	5	4	158	128	171	134	34	2	22	33	10	.260	.322	.379	.702
FLA		26.3	28	997	797	206	24	5	3	156	120	154	123	49	8	20	69	23	.258	.312	.387	.699
KIL		29.3	28	956	783	193	36	2	4	148	107	173	133	23	11	6	49	12	.246	.313	.367	.680
HHK		31.8	28	920	778	174	25	0	2	97	78	168	106	20	2	14	36	18	.224	.263	.331	.595

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