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Statistiken Deutscher Baseball und Softball Verband

Stand: 2022-09-11

League Overview | League Leaders | Team Ranking | Highs & Lows: Players/Teams

2. Bundesliga Nordost

Sortable Teamstats: Berlin Sluggers (BES)

Sortstats Pitching | Teamstats | Extended Teamstats | Game Summaries

Name	Nat	Age	G	PA	AB	H	2B	3B	HR	R	RBI	K	BB	HP	SF	SH	SB	CS	AVG	SLG	OBP	OPS
Vohmann	GER	16	19	87	65	26	4	0	0	24	12	5	18	3	0	1	9	3	.400	.462	.547	1.008
Roley	USA	37	23	84	64	22	8	1	2	21	24	5	15	3	1	1	6	1	.344	.594	.482	1.076
MKrause	GER	18	15	61	50	17	1	1	1	16	14	10	8	2	1	0	12	1	.340	.460	.443	.903
Reichert	GER	19	14	52	37	10	1	0	0	16	4	7	13	2	0	0	10	1	.270	.297	.481	.778
Schneider	GER	20	23	92	71	17	1	0	0	16	9	17	12	6	1	2	1	2	.239	.254	.389	.642
PGebhardt	GER	29	16	61	46	14	0	1	0	15	17	10	12	3	0	0	5	0	.304	.348	.475	.823
DStoddard	USA	47	10	48	39	15	3	0	0	12	9	4	7	2	0	0	2	1	.385	.462	.500	.962
Cieluch	GER	27	10	43	43	21	5	0	0	10	9	7	0	0	0	0	1	0	.488	.605	.488	1.093
Banik	GER	25	18	48	36	13	1	0	0	9	5	15	12	0	0	0	3	0	.361	.389	.521	.910
Cooray	GER	44	12	42	32	10	2	0	0	9	4	6	7	2	0	1	1	0	.313	.375	.463	.838
Nickel	GER	22	15	53	50	15	4	0	0	7	8	17	1	2	0	0	5	1	.300	.380	.340	.720
JTochatschek	GER	17	10	25	21	6	2	0	0	7	0	6	2	2	0	0	2	0	.286	.381	.400	.781
Manotas	COL	34	9	24	20	4	1	0	0	6	2	0	2	2	0	0	1	1	.200	.250	.333	.583
Wasielewski	GER	16	15	59	51	20	1	0	0	6	15	5	5	1	2	0	10	1	.392	.412	.441	.852
Kaufmannn	GER	18	9	22	19	4	1	0	0	5	3	7	2	1	0	0	1	0	.211	.263	.318	.581
Ventura	GER	26	3	12	10	3	1	0	0	5	4	1	2	0	0	0	1	0	.300	.400	.417	.817
Junker	GER	16	6	16	12	2	0	0	0	4	2	5	4	0	0	0	1	0	.167	.167	.375	.542
Starrett	USA	15	5	6	4	1	0	0	0	3	3	1	2	0	0	0	1	0	.250	.250	.500	.750
EStoddard	GBR	16	6	13	11	2	0	0	0	3	1	6	2	0	0	0	0	0	.182	.182	.308	.490
Blum Garcia	ECU	27	3	8	8	3	0	0	0	2	3	1	0	0	0	0	0	0	.375	.375	.375	.750
Mello	GER	17	2	8	7	0	0	0	0	2	0	0	1	0	0	0	0	0	.000	.000	.125	.125
BWeber	GER	17	7	17	12	3	0	0	0	2	4	7	4	1	0	0	2	2	.250	.250	.471	.721
Kulecki	GER	34	1	3	3	1	0	0	0	1	2	0	0	0	0	0	0	0	.333	.333	.333	.667
Mullany	USA	29	2	4	3	1	0	0	0	1	1	1	1	0	0	0	0	0	.333	.333	.500	.833
Nischik	GER	16	5	11	9	1	0	0	0	1	0	4	2	0	0	0	0	0	.111	.111	.273	.384
Bergengrün	GER	28	2	9	8	1	0	0	0	0	2	0	0	1	0	0	0	0	.125	.125	.222	.347
Zobl-Mittleman	GER	17	1	4	2	1	0	0	0	0	1	0	2	0	0	0	0	0	.500	.500	.750	1.250
Name	Nat	Age	G	PA	AB	H	2B	3B	HR	R	RBI	K	BB	HP	SF	SH	SB	CS	AVG	SLG	OBP	OPS

3rd batters		30.8	24	105	88	35	9	1	2	29	24	12	13	4	0	0	4	0	.398	.591	.495	1.086
leadoff batters		18.9	24	110	85	30	4	0	0	27	10	15	19	5	0	1	11	3	.353	.400	.495	.895
6th batters		24.5	24	98	81	30	3	1	1	27	18	18	13	4	0	0	13	0	.370	.469	.480	.949
2nd batters		25.7	24	111	89	27	4	0	0	25	17	15	12	5	2	3	5	1	.303	.348	.407	.756
5th batters		27.3	24	98	81	28	7	1	0	23	25	9	14	2	1	0	11	4	.346	.457	.449	.906
9th batters		22.3	24	104	87	25	3	0	0	23	17	24	13	4	0	0	12	2	.287	.322	.404	.726
4th batters		33.6	24	100	76	22	3	0	0	21	17	15	18	4	1	1	5	1	.289	.329	.444	.773
7th batters		23.0	24	95	73	17	1	0	0	15	14	19	18	3	1	0	9	3	.233	.247	.400	.647
8th batters		22.5	24	91	73	19	2	0	0	13	16	20	16	2	0	0	4	0	.260	.288	.407	.694

vs. HWS		26.2		164	125	43	8	0	0	47	39	15	24	11	4	0	26	2	.344	.408	.476	.884
vs. DWF		25.3		170	137	44	8	1	1	46	32	24	29	4	0	0	11	4	.321	.416	.453	.869
vs. HHK		24.9		159	123	46	4	2	0	38	29	17	25	8	1	2	12	3	.374	.439	.503	.942
vs. KIL		25.6		89	66	17	4	0	1	20	14	22	20	3	0	0	3	1	.258	.364	.449	.813
vs. BRE		23.7		79	66	19	1	0	0	16	13	8	11	1	0	1	8	0	.288	.303	.397	.700
vs. HHS		25.0		75	62	20	4	0	0	15	13	24	10	2	0	1	2	2	.323	.387	.432	.820
vs. BSK		25.7		62	52	17	3	0	0	9	8	4	7	3	0	0	7	1	.327	.385	.435	.820
vs. HRG		28.4		70	62	20	3	0	0	9	7	17	7	0	0	1	1	1	.323	.371	.391	.762
vs. ELM		22.9		44	40	7	1	0	1	3	3	16	3	1	0	0	4	0	.175	.275	.250	.525
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		26.0		541	442	145	23	1	2	117	94	80	72	21	2	4	50	8	.328	.398	.443	.841
Game 2		24.5		371	291	88	13	2	1	86	64	67	64	12	3	1	24	6	.302	.371	.443	.814

homegames		25.5		586	456	157	22	3	1	144	110	83	102	20	4	4	54	9	.344	.412	.479	.892
awaygames		25.2		326	277	76	14	0	2	59	48	64	34	13	1	1	20	5	.274	.347	.378	.725

GER		22.4		725	584	185	24	2	1	155	115	129	107	26	4	4	64	11	.317	.370	.441	.811
Foreign		37.0		187	149	48	12	1	2	48	43	18	29	7	1	1	10	3	.322	.456	.452	.908

BSK		28.6	24	979	763	261	37	9	5	231	187	105	146	41	16	13	88	7	.342	.434	.464	.898
BRE		29.2	24	934	767	271	37	9	3	222	179	120	119	28	15	5	94	11	.353	.437	.450	.887
HHS		26.3	23	920	721	214	36	8	5	210	161	136	132	46	15	6	97	15	.297	.390	.429	.819
ELM		30.9	26	972	780	219	38	4	12	208	162	156	135	41	11	5	108	8	.281	.386	.408	.794
BES		25.4	24	912	733	233	36	3	3	203	158	147	136	33	5	5	74	14	.318	.387	.443	.831
HHK		31.0	26	951	788	234	36	4	1	183	142	165	122	29	10	1	61	13	.297	.357	.406	.762
HRG		29.6	26	961	795	218	30	5	1	168	132	152	121	26	12	6	35	6	.274	.328	.383	.711
DWF		27.5	23	873	691	201	41	2	3	161	127	135	133	34	8	7	73	8	.291	.369	.425	.794
KIL		28.2	21	779	630	173	28	5	5	150	118	146	115	23	7	4	93	9	.275	.359	.401	.760
HWS		30.9	23	770	602	139	14	3	1	126	93	144	135	24	7	2	64	9	.231	.269	.388	.657

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