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Statistiken Deutscher Baseball und Softball Verband

Stand: 2021-10-17

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
*Albrecht*	GER	24	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	---	---	---	---
*Banik*	GER	24	2	7	5	2	0	0	0	1	0	3	2	0	0	0	0	1	.400	.400	.571	.971
Bergengrün	GER	27	18	67	59	25	7	3	1	16	22	5	6	1	1	0	5	0	.424	.695	.478	1.173
*Buschmann*	GER	37	10	32	26	5	1	0	0	5	8	7	3	1	1	0	4	1	.192	.231	.290	.521
*Cooray*	GER	43	5	16	9	0	0	0	0	2	1	2	7	0	0	0	1	0	.000	.000	.438	.438
*Dern*	GER	33	5	14	14	4	1	0	0	2	2	1	0	0	0	0	0	0	.286	.357	.286	.643
*Kaufmann*	GER	52	1	4	3	1	0	0	0	0	0	1	1	0	0	0	0	0	.333	.333	.500	.833
*Kaufmannn*	GER	17	9	23	21	4	0	0	0	2	2	13	2	0	0	0	0	1	.190	.190	.261	.451
*Knaack*	GER	52	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	.000	.000	.000	.000
*MKrause*	GER	17	11	42	37	17	2	2	0	16	9	7	4	1	0	0	8	0	.459	.622	.524	1.145
*Leglise*	GER	30	6	20	18	5	1	0	0	4	3	1	1	1	0	0	1	0	.278	.333	.350	.683
*Lietz*	GER	20	1	1	1	0	0	0	0	0	0	1	0	0	0	0	0	0	.000	.000	.000	.000
Mandtas	COL	33	17	53	49	15	1	0	0	12	5	11	2	2	0	0	1	0	.306	.327	.358	.685
*Mello*	GER	16	5	12	10	1	0	0	0	1	1	3	2	0	0	0	2	0	.100	.100	.250	.350
*Nickel*	GER	21	11	39	31	10	0	0	0	13	4	2	6	1	1	0	5	1	.323	.323	.436	.758
*Nischik*	GER	15	3	10	9	2	0	0	0	1	1	5	1	0	0	0	0	0	.222	.222	.300	.522
*Reger*	GER	33	2	4	2	0	0	0	0	0	0	2	2	0	0	0	0	0	.000	.000	.500	.500
Reichert	GER	18	16	56	43	17	0	1	0	21	8	4	9	3	0	1	14	1	.395	.442	.527	.969
*Rodriguez*	USA	26	6	20	19	7	3	0	0	4	5	1	0	1	0	0	2	0	.368	.526	.400	.926
*Schneider*	GER	19	7	21	14	2	0	0	0	6	3	7	5	1	0	1	0	0	.143	.143	.400	.543
*Stiller*	GER	37	12	38	30	8	1	0	0	8	8	2	6	0	1	1	1	0	.267	.300	.378	.678
*Stoddard*	USA	46	8	28	23	5	0	0	0	5	6	1	2	1	2	0	0	0	.217	.217	.286	.503
*Tochatschek*	GER	16	2	6	5	1	0	0	0	2	0	1	1	0	0	0	2	0	.200	.200	.333	.533
*Vohmann*	GER	15	11	35	27	4	1	0	0	11	4	9	7	0	1	0	3	0	.148	.185	.314	.499
*BWeber*	GER	16	7	26	19	4	1	0	0	5	3	4	6	1	0	0	2	1	.211	.263	.423	.686
Witzmann	GER	22	19	76	61	20	4	0	0	22	9	7	15	0	0	0	14	1	.328	.393	.461	.854
*Zobl-Mittleman*	GER	16	11	38	32	7	0	0	0	6	5	5	2	3	0	1	3	1	.219	.219	.324	.543
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		21.2	20	85	71	21	3	1	0	24	11	9	12	1	1	0	15	2	.296	.366	.400	.766
2nd batters		21.6	20	83	64	20	1	1	0	23	10	10	13	5	0	1	18	0	.313	.359	.463	.823
3rd batters		26.7	20	80	70	28	6	3	0	21	24	10	7	2	1	0	6	0	.400	.571	.463	1.034
4th batters		26.3	20	77	64	22	7	1	1	15	21	11	9	3	1	0	5	0	.344	.531	.442	.973
5th batters		29.6	20	76	61	13	1	0	0	18	8	12	14	0	1	0	5	1	.213	.230	.355	.585
6th batters		29.7	20	74	57	14	0	0	0	17	9	10	15	0	1	1	6	2	.246	.246	.397	.643
7th batters		26.5	20	73	62	19	3	0	0	15	7	13	7	2	0	1	6	0	.306	.355	.394	.749
8th batters		26.2	20	75	62	17	2	0	0	15	14	13	8	3	2	0	2	3	.274	.306	.373	.680
9th batters		23.4	20	67	57	12	0	0	0	17	5	17	8	1	0	1	5	0	.211	.211	.318	.529

vs. BRE		24.6		55	48	9	1	0	0	7	3	8	5	2	0	0	2	1	.188	.208	.291	.499
vs. BSK		23.7		56	50	16	2	0	0	13	11	6	4	0	0	2	3	1	.320	.360	.370	.730
vs. DWF		25.9		81	63	20	5	0	0	20	16	8	13	3	1	1	7	2	.317	.397	.450	.847
vs. ELM		25.2		55	47	9	1	0	0	5	4	13	6	2	0	0	0	1	.191	.213	.309	.522
vs. FLA		26.9		64	45	14	2	2	0	28	20	3	14	1	2	1	12	1	.311	.444	.468	.912
vs. HHK		24.3		85	69	19	1	0	0	21	10	16	12	4	0	0	10	1	.275	.290	.412	.702
vs. HHS		27.4		73	55	18	2	1	1	22	15	10	14	2	2	0	15	0	.327	.455	.466	.920
vs. HRG		27.9		78	69	24	5	0	0	16	10	13	7	2	0	0	3	0	.348	.420	.423	.843
vs. HWS		25.9		68	60	14	2	1	0	10	6	16	8	0	0	0	9	0	.233	.300	.324	.624
vs. KIL		23.6		75	62	23	2	2	0	23	14	12	10	1	2	0	7	1	.371	.468	.453	.921
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		25.6		351	293	82	14	3	0	78	53	49	47	6	3	2	30	5	.280	.348	.387	.735
Game 2		25.6		339	275	84	9	3	1	87	56	56	46	11	4	2	38	3	.305	.371	.420	.791

homegames		25.3		323	260	80	9	5	1	93	63	39	47	6	6	3	39	4	.308	.392	.417	.809
awaygames		25.9		367	308	86	14	1	0	72	46	66	46	11	1	1	29	4	.279	.331	.391	.722

Foreign		36.1		101	91	27	4	0	0	21	16	13	4	4	2	0	3	0	.297	.341	.347	.687
GER		23.8		589	477	139	19	6	1	144	93	92	89	13	5	4	65	8	.291	.363	.413	.775

BES		25.6	20	690	568	166	23	6	1	165	109	105	93	17	7	4	68	8	.292	.359	.403	.762
BRE		29.8	20	703	565	190	29	7	1	180	140	93	105	21	6	6	62	10	.336	.418	.453	.871
BSK		30.9	20	661	551	151	22	6	1	117	99	102	73	21	10	6	74	5	.274	.341	.374	.715
DWF		24.8	16	531	436	130	18	2	3	114	82	86	67	19	8	1	47	6	.298	.369	.408	.777
ELM		31.0	19	645	493	140	16	1	1	120	87	95	123	17	5	7	61	10	.284	.327	.439	.765
FLA		27.0	19	592	466	136	21	1	2	124	97	103	89	29	1	7	56	5	.292	.354	.434	.788
HHK		33.2	20	619	498	128	24	2	1	99	65	110	88	19	11	2	74	11	.257	.319	.381	.701
HHS		25.8	19	602	456	136	31	1	2	146	117	88	100	20	12	13	72	5	.298	.384	.435	.819
HRG		29.7	20	635	524	131	21	3	0	95	72	104	83	15	9	4	47	6	.250	.302	.363	.664
HWS		31.2	19	484	403	68	4	0	0	38	24	98	67	10	2	2	12	7	.169	.179	.301	.479
KIL		28.0	18	542	436	95	8	1	1	87	62	88	83	15	3	5	66	8	.218	.248	.359	.607

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