Domicile
Formation
Statistiques joueurs
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Profondeur
Actualité
Historique
Blessure/Suspension
Statistiques de l'Équipe de Carrière

Centre de jeu
	Germany 5-5-0, 15pts	2	FINAL	1	Russia 7-4-0, 20pts

Team Stats
L1	Séquence	L1
3-3-0	Fiche domicile	1-3-0
2-2-0	Fiche visiteur	6-1-0
5-5-0	Derniers 10 matchs	5-4-0
2.82	Buts par match	3.00
2.64	Buts contre par match	2.62
50.00%	Pourcentage en avantage numérique	24.14%
92.00%	Pourcentage en désavantage numérique	80.65%

Russia
7-4-0, 20pts

FINAL

Germany
5-5-0, 15pts

Team Stats
L1	Séquence	L1
1-3-0	Fiche domicile	3-3-0
6-1-0	Fiche visiteur	2-2-0
5-4-0	Derniers 10 matchs	5-5-0
3.00	Buts par match	2.82
2.62	Buts contre par match	2.64
24.14%	Pourcentage en avantage numérique	50.00%
80.65%	Pourcentage en désavantage numérique	92.00%

Meneurs d'équipe
	Buts Eddi Scholler 6	Passes Arnt Pfeffer 12

	Points Arnt Pfeffer 16	Plus/Moins Helgert Pitt 2

	Victoires Hansjurgen Thom 4	Pourcentage d’arrêts Hansjurgen Thom 0.922

Statistiques d’équipe
Buts pour 31 2.82 GFG	Tirs pour 359 32.64 Avg	Pourcentage en avantage numérique 50.0% 12 GF	Début de zone offensive 38.1%
Buts contre 29 2.64 GAA	Tirs contre 362 32.91 Avg	Pourcentage en désavantage numérique 92.0%% 2 GA	Début de la zone défensive 39.0%

Informations de l'équipe
	Directeur général	Clarke Stepaniuk
	Entraîneur	Christian Bendel
	Division	Division 2
	Conférence	Conference 1
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom
	Capacité	18,000
	Assistance	0
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	22
	Équipe Mineure	8
	Limite contact	30 / 35
	Espoirs	0
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	229,688$
	Compte bancaire actuel	10,000,000$
	Compte bancaire projeté	9,770,312$
Historique d'équipe
	Saison actuelle	5-5-1 ( 15PTS)
	Historique	0-0-0

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Helgert Pitt (R)	0	X				100.00	76	36	86	86	97	84	82	89	87	65	40	37	54	46	28	83	40	74	0	19	3	1,000,000$
2	Arno Rech (R)	0	X				100.00	63	61	81	61	95	68	60	87	56	52	77	98	51	33	77	80	40	72	0	19	1	0$
3	Olaf Brieger	0		X			100.00	30	44	65	67	57	57	66	92	90	88	71	89	68	92	72	73	40	72	0	20	1	75,000$
4	Eddi Scholler (R)	0			X		100.00	56	61	83	82	62	74	60	77	83	80	70	67	71	64	61	99	40	72	0	16	1	0$
5	Denny Ashmann (R)	0			X		100.00	80	60	73	81	60	85	83	62	75	63	69	65	79	80	78	97	40	71	0	16	1	0$
6	Hannes Klenk (R)	0		X			100.00	60	79	80	79	73	80	61	58	62	70	70	75	56	79	75	74	40	70	0	16	1	0$
7	Patrick Panitz (R)	0			X		100.00	60	44	86	85	66	57	50	59	91	72	73	88	44	50	60	78	40	70	0	20	3	700,000$
8	Florentin Wehrle (R)	0		X			100.00	65	63	84	75	56	88	89	65	44	48	77	74	59	65	36	70	40	69	0	20	1	0$
9	Erwin Haberer (R)	0		X			100.00	60	73	83	72	69	60	62	71	71	63	62	82	75	64	74	89	40	68	0	16	1	0$
10	Jochen Mock (R)	0		X			100.00	78	80	63	68	74	79	67	84	64	43	80	61	77	79	67	87	40	68	0	16	1	0$
11	Reiner Volkmer (R)	0	X				100.00	66	72	58	77	71	69	75	38	67	69	54	75	57	68	66	94	43	66	0	16	1	0$
12	Caspar Reichelt (R)	0			X		100.00	79	73	68	61	69	58	74	68	57	61	77	58	65	60	69	97	40	66	0	16	1	0$
13	Arnt Pfeffer (R)	0				X	100.00	87	33	64	99	87	74	82	83	25	79	76	68	69	71	40	78	40	81	0	20	2	1,000,000$
14	Max Cooper	0				X	100.00	76	70	61	72	82	73	65	64	69	68	53	85	63	70	72	86	40	73	0	16	1	0$
15	Siegfried Klatt (R)	0				X	100.00	54	28	90	87	66	85	55	76	25	40	56	81	55	75	37	82	40	67	0	19	3	800,000$
16	Timo Wolff	0				X	100.00	58	67	55	72	55	72	72	79	76	74	65	51	70	56	53	89	40	67	0	17	1	0$
17	Mirco Lorenz (R)	0				X	100.00	56	52	79	74	73	62	55	69	25	55	73	63	59	52	58	68	40	66	0	20	1	0$
18	Frowin Wendlandt (R)	0				X	100.00	70	57	66	60	72	66	69	52	61	43	41	67	50	63	51	70	40	62	0	16	1	0$
Rayé
1	Florian Rautenberg (R)	0	X				100.00	67	66	47	66	80	55	64	54	55	72	75	72	53	70	68	86	40	66	0	16	1	0$
2	Ben Heidrich	0	X				100.00	67	74	66	70	71	61	63	63	56	70	63	63	67	57	72	86	43	65	0	16	1	0$

	MOYENNE D’ÉQUIPE						100.00	65	60	72	75	72	70	68	70	62	64	66	71	62	65	61	83	40	69

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Helgert Finke (R)	0	100.00	56	88	82	97	45	68	82	69	82	58	61	45	82	88	40	73	0	18	1	0$
2	Hansjurgen Thom (R)	0	100.00	84	68	64	61	76	77	83	80	69	66	67	74	82	71	40	73	0	16	1	0$
Rayé

	MOYENNE D’ÉQUIPE		100.00	70	78	73	79	61	73	83	75	76	62	64	60	82	80	40	73

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Christian Bendel	92	64	63	69	96	72	90	GER	36	1	100,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	PSS	FW	FT	S1	S2	S3
1	Arnt Pfeffer	Germany	D	11	4	12	16	0	6	0	23	21	44	11	23	9.09%	11	297	27.05	3	4	7	5	19	1	21	1	0	0%	0	6	8	0	1.08	0	0	0	1	1	1
2	Olaf Brieger	Germany	LW	11	3	9	12	-1	10	0	13	16	38	18	22	7.89%	3	221	20.10	2	4	6	4	17	1	16	0	0	53.33%	15	9	4	1	1.09	0	0	0	0	2	0
3	Helgert Pitt	Germany	C	9	3	6	9	2	0	0	12	13	41	7	13	7.32%	3	224	24.97	1	5	6	5	15	0	20	0	0	57.00%	293	4	3	0	0.80	0	0	0	0	0	0
4	Eddi Scholler	Germany	RW	11	6	3	9	-3	5	5	14	13	35	12	24	17.14%	3	222	20.23	2	2	4	4	18	0	14	3	0	33.33%	24	7	6	0	0.81	0	0	1	1	0	0
5	Hannes Klenk	Germany	LW	11	2	5	7	-2	0	0	12	21	29	9	18	6.90%	0	194	17.69	0	3	3	3	12	1	1	0	0	30.00%	10	5	2	0	0.72	0	0	0	0	0	1
6	Arno Rech	Germany	C	6	1	5	6	-1	2	0	10	10	13	3	7	7.69%	7	112	18.67	1	3	4	4	6	0	9	0	1	46.58%	73	2	2	0	1.07	0	0	0	0	0	0
7	Denny Ashmann	Germany	RW	11	2	4	6	-2	4	0	16	11	28	10	12	7.14%	4	195	17.77	1	1	2	1	12	0	2	0	0	0%	6	9	3	0	0.61	1	0	0	0	0	0
8	Patrick Panitz	Germany	RW	11	3	2	5	-4	0	0	8	19	29	10	16	10.34%	6	149	13.58	0	0	0	0	0	0	0	0	0	60.00%	5	9	2	0	0.67	0	0	0	0	1	0
9	Siegfried Klatt	Germany	D	11	2	3	5	-4	0	0	6	15	12	6	3	16.67%	15	219	19.98	1	0	1	2	12	1	18	1	0	0%	0	4	10	0	0.45	0	0	0	1	0	0
10	Timo Wolff	Germany	D	11	2	2	4	-4	4	0	10	10	14	5	10	14.29%	7	216	19.69	1	0	1	4	12	0	16	0	0	0%	0	3	5	0	0.37	0	0	0	0	0	0
11	Ben Heidrich	Germany	C	2	2	0	2	2	0	0	1	3	7	2	0	28.57%	0	28	14.31	0	0	0	0	0	0	0	0	0	28.57%	14	0	1	0	1.40	0	0	0	0	0	0
12	Florentin Wehrle	Germany	LW	11	0	2	2	-3	0	0	12	15	13	5	10	0%	2	165	15.08	0	0	0	0	0	0	14	0	0	40.00%	5	1	1	0	0.24	0	0	0	0	0	0
13	Florian Rautenberg	Germany	C	8	1	0	1	-2	10	0	13	8	11	4	4	9.09%	2	116	14.61	0	0	0	0	1	0	1	0	0	44.83%	58	3	1	0	0.17	0	0	0	0	0	1
14	Reiner Volkmer	Germany	C	8	0	1	1	-6	4	0	16	9	6	5	5	0%	2	133	16.74	0	0	0	0	6	0	0	0	0	50.42%	119	0	4	0	0.15	0	0	0	0	0	0
15	Frowin Wendlandt	Germany	D	11	0	1	1	-4	0	0	7	10	5	0	2	0%	3	151	13.81	0	0	0	0	0	0	4	0	0	0%	0	0	4	0	0.13	0	0	0	0	0	0
16	Max Cooper	Germany	D	11	0	1	1	1	24	10	29	20	12	3	5	0%	19	289	26.32	0	0	0	0	16	0	25	0	0	0%	0	1	11	0	0.07	0	1	1	0	0	1
17	Erwin Haberer	Germany	LW	11	0	0	0	0	0	0	1	5	1	0	0	0%	0	40	3.69	0	0	0	0	0	0	4	0	0	50.00%	12	1	0	0	0	0	0	0	0	0	0
18	Jochen Mock	Germany	LW	11	0	0	0	-2	0	0	5	2	8	5	5	0%	0	68	6.24	0	0	0	0	0	0	0	0	0	0%	2	5	4	0	0	0	0	0	0	0	0
19	Caspar Reichelt	Germany	RW	11	0	0	0	-2	2	0	5	3	2	0	3	0%	1	71	6.46	0	0	0	0	0	0	0	0	0	50.00%	2	1	0	0	0	0	0	0	0	0	0
20	Mirco Lorenz	Germany	D	11	0	0	0	-5	2	0	3	16	11	3	1	0%	1	154	14.08	0	0	0	0	2	0	1	0	0	0%	0	2	3	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				198	31	56	87	-40	73	15	216	240	359	118	183	8.64%	89	3275	16.54	12	22	34	32	157	4	176	5	1	50.47%	638	72	74	1	0.53	1	1	2	3	4	4

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	GA	SA	SAR	PS %	ST	BG	S1	S2	S3
1	Hansjurgen Thom	Germany	8	4	3	1	0.922	2.48	484	20	257	132	0	8	3	1	1	2
2	Helgert Finke	Germany	3	1	2	0	0.914	3.02	179	9	105	63	0	3	8	0	0	1
Statistiques d’équipe totales ou en moyenne			11	5	5	1	0.920	2.62	663	29	362	195		11	11	1	1	3

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10
Arno Rech	Germany	C	19	2006-09-05	GER	Yes	208 Lbs	6 ft3	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Arnt Pfeffer	Germany	D	20	2005-02-14	GER	Yes	182 Lbs	5 ft9	No	No	Assign Manually	No	No	2	2024-12-25	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Ben Heidrich	Germany	C	16	2009-08-09	GER	No	189 Lbs	6 ft1	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Caspar Reichelt	Germany	RW	16	2009-01-14	GER	Yes	250 Lbs	6 ft10	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Denny Ashmann	Germany	RW	16	2009-02-18	GER	Yes	189 Lbs	6 ft3	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Eddi Scholler	Germany	RW	16	2009-02-27	GER	Yes	193 Lbs	6 ft2	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Erwin Haberer	Germany	LW	16	2009-06-04	GER	Yes	180 Lbs	5 ft8	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Florentin Wehrle	Germany	LW	20	2005-12-26	GER	Yes	199 Lbs	6 ft1	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Florian Rautenberg	Germany	C	16	2009-08-12	GER	Yes	208 Lbs	6 ft1	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Frowin Wendlandt	Germany	D	16	2009-11-14	GER	Yes	204 Lbs	5 ft11	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Hannes Klenk	Germany	LW	16	2009-02-22	GER	Yes	199 Lbs	6 ft3	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Hansjurgen Thom	Germany	G	16	2009-05-08	GER	Yes	178 Lbs	5 ft10	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Helgert Finke	Germany	G	18	2007-03-01	GER	Yes	239 Lbs	6 ft8	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Helgert Pitt	Germany	C	19	2006-09-27	GER	Yes	250 Lbs	6 ft5	No	No	Assign Manually	No	No	3	2024-12-25	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Jochen Mock	Germany	LW	16	2009-10-27	GER	Yes	195 Lbs	6 ft8	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Max Cooper	Germany	D	16	2009-07-18	GER	No	226 Lbs	6 ft8	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Mirco Lorenz	Germany	D	20	2005-11-06	GER	Yes	243 Lbs	6 ft4	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Olaf Brieger	Germany	LW	20	2005-02-21	GER	No	205 Lbs	6 ft3	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm	75,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Patrick Panitz	Germany	RW	20	2005-01-17	GER	Yes	210 Lbs	6 ft3	No	No	Assign Manually	No	No	3	2024-12-25	False	False	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	-	-	-	-	-	-	-	700,000$	700,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Reiner Volkmer	Germany	C	16	2009-06-29	GER	Yes	204 Lbs	6 ft1	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Siegfried Klatt	Germany	D	19	2006-10-08	GER	Yes	221 Lbs	6 ft7	No	No	Assign Manually	No	No	3	2024-12-25	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	-	-	-	-	-	-	-	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Timo Wolff	Germany	D	17	2008-12-27	GER	No	206 Lbs	5 ft10	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	17.45	208 Lbs	6 ft3	1.32	162,500$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
3,575,000$	3,500,000$	2,500,000$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Olaf Brieger	Helgert Pitt	Eddi Scholler	32	0	1	4
2	Hannes Klenk	Arno Rech	Denny Ashmann	32	0	2	3
3	Florentin Wehrle	Reiner Volkmer	Patrick Panitz	26	0	2	3
4	Erwin Haberer	Helgert Pitt	Caspar Reichelt	10	0	2	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Arnt Pfeffer	Max Cooper	40	1	2	2
2	Siegfried Klatt	Timo Wolff	30	1	2	2
3	Mirco Lorenz	Frowin Wendlandt	20	1	2	2
4	Arnt Pfeffer	Max Cooper	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Olaf Brieger	Helgert Pitt	Eddi Scholler	60	1	2	2
2	Hannes Klenk	Arno Rech	Denny Ashmann	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Arnt Pfeffer	Max Cooper	60	1	2	2
2	Siegfried Klatt	Timo Wolff	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Helgert Pitt	Olaf Brieger	60	1	2	2
2	Arno Rech	Hannes Klenk	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Arnt Pfeffer	Max Cooper	60	1	2	2
2	Siegfried Klatt	Timo Wolff	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Helgert Pitt	60	1	2	2	Arnt Pfeffer	Max Cooper	60	1	2	2
2	Arno Rech	40	1	2	2	Siegfried Klatt	Timo Wolff	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Helgert Pitt	Olaf Brieger	60	1	2	2
2	Arno Rech	Hannes Klenk	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Arnt Pfeffer	Max Cooper	60	1	2	2
2	Siegfried Klatt	Timo Wolff	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Olaf Brieger	Helgert Pitt	Eddi Scholler	Arnt Pfeffer	Max Cooper

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Olaf Brieger	Helgert Pitt	Eddi Scholler	Arnt Pfeffer	Max Cooper

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Denny Ashmann, Patrick Panitz, Hannes Klenk	Denny Ashmann, Patrick Panitz	Denny Ashmann

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Timo Wolff, Mirco Lorenz, Frowin Wendlandt	Timo Wolff	Timo Wolff, Mirco Lorenz

Tirs de pénalité
Helgert Pitt, Eddi Scholler, Olaf Brieger, Arno Rech, Denny Ashmann

Gardien
#1 : Helgert Finke, #2 : Hansjurgen Thom

Lignes d’attaque personnalisées en prolongation
, , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Belarus	2	0	2	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	5	8	13	0	0	1	2	2	0	78	15	22	41	0	79	14	35	41	3	2	66.67%	5	1	80.00%	0	128	243	52.67%	118	249	47.39%	76	146	52.05%	45	27	40	16	33	17
2	Denmark	2	2	0	0	0	0	0	0	10	2	8	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	6	1.000	10	19	29	0	0	3	2	5	0	78	28	20	30	0	63	19	4	41	8	5	62.50%	2	0	100.00%	0	128	243	52.67%	118	249	47.39%	76	146	52.05%	47	29	38	17	34	18
3	Norway	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	2	5	-3	3	0.500	7	13	20	0	0	3	1	3	0	63	9	23	31	0	66	14	14	37	6	4	66.67%	8	0	100.00%	0	128	243	52.67%	118	249	47.39%	76	146	52.05%	44	25	41	17	34	17
4	Russia	3	1	2	0	0	0	0	0	4	9	-5	2	0	2	0	0	0	0	0	2	8	-6	1	1	0	0	0	0	0	0	2	1	1	3	0.333	4	7	11	0	0	0	2	2	0	81	28	30	23	0	90	30	12	64	3	0	0.00%	6	1	83.33%	0	128	243	52.67%	118	249	47.39%	76	146	52.05%	61	33	64	27	54	26
5	United States	2	1	0	1	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	3	2	1	1	0	0	1	0	0	0	0	2	2	0	3	0.500	5	9	14	0	0	2	1	2	0	59	20	19	20	0	64	12	8	33	4	1	25.00%	4	0	100.00%	0	128	243	52.67%	118	249	47.39%	76	146	52.05%	40	21	46	19	37	18
	Total	11	5	5	1	0	0	0	0	31	29	2	6	3	3	0	0	0	0	0	19	18	1	5	2	2	1	0	0	0	0	12	11	1	15	0.455	31	56	87	0	0	9	8	14	0	359	100	114	145	0	362	89	73	216	24	12	50.00%	25	2	92.00%	0	128	243	52.67%	118	249	47.39%	76	146	52.05%	238	137	231	99	195	98
	_Since Last GM Reset	11	6	5	0	0	0	0	0	31	29	2	6	3	3	0	0	0	0	0	19	18	1	5	3	2	0	0	0	0	0	12	11	1	18	0.545	31	56	87	0	0	9	8	14	0	359	100	114	145	0	362	89	73	216	24	12	50.00%	25	2	92.00%	0	128	243	52.67%	118	249	47.39%	76	146	52.05%	238	137	231	99	195	98
	_Vs Conference	11	5	5	1	0	0	0	0	31	29	2	6	3	3	0	0	0	0	0	19	18	1	5	2	2	1	0	0	0	0	12	11	1	15	0.455	31	56	87	0	0	9	8	14	0	359	100	114	145	0	362	89	73	216	24	12	50.00%	25	2	92.00%	0	128	243	52.67%	118	249	47.39%	76	146	52.05%	238	137	231	99	195	98
	_Vs Division	4	1	2	1	0	0	0	0	10	11	-1	2	1	1	0	0	0	0	0	7	7	0	2	0	1	1	0	0	0	0	3	4	-1	3	0.250	10	17	27	0	0	3	3	4	0	137	35	41	61	0	143	26	43	74	7	3	42.86%	9	1	88.89%	0	128	243	52.67%	118	249	47.39%	76	146	52.05%	86	48	87	36	71	36

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
11	15	L1	31	56	87	359	362	89	73	216	0	0

Tous les matchs
GP	W	L	OTW	OTL	T	GF	GA
11	5	5	0	0	1	31	29

Matchs locaux
GP	W	L	OTW	OTL	T	GF	GA
6	3	3	0	0	0	19	18

Matchs extérieurs
GP	W	L	OTW	OTL	T	GF	GA
5	2	2	0	0	1	12	11

Derniers 10 matchs
W	L	OTW	OTL	T
5	5	0	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
24	12	50.00%	25	2	92.00%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
100	114	145	0	9	8	14	0

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
128	243	52.67%	118	249	47.39%	76	146	52.05%

Temps avec la rondelle
En zone offensive	Contrôle en zone offensive	En zone défensive	Contrôle en zone défensive	En zone neutre	Contrôle en zone neutre
238	137	231	99	195	98

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	Lien
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1	2	Germany	2	United States	2	T	X	Sommaire du match
2	8	Belarus	5	Germany	4	L		Sommaire du match
3	13	Norway	2	Germany	5	W		Sommaire du match
4	23	Germany	5	Denmark	1	W		Sommaire du match
5	26	Russia	5	Germany	1	L		Sommaire du match
6	32	United States	2	Germany	3	W		Sommaire du match
7	37	Germany	1	Belarus	2	L		Sommaire du match
8	48	Germany	2	Norway	5	L		Sommaire du match
9	50	Denmark	1	Germany	5	W		Sommaire du match
10	55	Germany	2	Russia	1	W		Sommaire du match
11	64	Russia	3	Germany	1	L		Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	100	60	35	25	200
Assistance	0	0	0	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
0	0 - 0.00%	0$	0$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	3,575,000$	0$	100,000$0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	0$	0	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	1	229,688$	229,688$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
229,688$	10,000,000$	9,770,312$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Olaf Brieger	AGE:20	PO:73	OV:72
Hannes Klenk (R)	AGE:16	PO:74	OV:70
Florentin Wehrle (R)	AGE:20	PO:70	OV:69
Erwin Haberer (R)	AGE:16	PO:89	OV:68
Jochen Mock (R)	AGE:16	PO:87	OV:68
Thosten Eichhorn	AGE:17	PO:64	OV:65

Helgert Pitt (R)	AGE:19	PO:83	OV:74
Arno Rech (R)	AGE:19	PO:80	OV:72
Reiner Volkmer (R)	AGE:16	PO:94	OV:66
Florian Rautenberg (R)	AGE:16	PO:86	OV:66
Ben Heidrich	AGE:16	PO:86	OV:65
Fabian Schroer (R)	AGE:16	PO:84	OV:63
Torge Schaaf	AGE:16	PO:82	OV:56

Eddi Scholler (R)	AGE:16	PO:99	OV:72
Denny Ashmann (R)	AGE:16	PO:97	OV:71
Patrick Panitz (R)	AGE:20	PO:78	OV:70
Caspar Reichelt (R)	AGE:16	PO:97	OV:66
Beat Kogler (R)	AGE:16	PO:89	OV:64
Berthold Jansch (R)	AGE:18	PO:86	OV:64

Défense #1

Défense #2

Gardien

Arnt Pfeffer (R)	AGE:20	PO:78	OV:81
Max Cooper	AGE:16	PO:86	OV:73
Timo Wolff	AGE:17	PO:89	OV:67
Siegfried Klatt (R)	AGE:19	PO:82	OV:67

Mirco Lorenz (R)	AGE:20	PO:68	OV:66
Mathias Jeschke (R)	AGE:17	PO:75	OV:62
Frowin Wendlandt (R)	AGE:16	PO:70	OV:62
Marvin Lowe (R)	AGE:16	PO:72	OV:56

Helgert Finke (R)	AGE:18	PO:88	OV:73
Hansjurgen Thom (R)	AGE:16	PO:71	OV:73
Sigbert Dahms (R)	AGE:17	PO:74	OV:66

Espoirs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Information	Date de la Dernière Transaction	Lien

Choix au repêchage

Année	R1	R2	R3	R4	R5
2	GER	GER	GER	GER	GER
3	GER	GER	GER	GER	GER
4	GER	GER	GER	GER	GER
5	GER	GER	GER	GER	GER
6	GER	GER	GER	GER	GER
Choix au repêchage conditionnel

Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.

Germany Historique de transactions

[1/30/2025 7:30:05 PM] New Record for Team's Most Points (15) in 1 Game for Germany!
[1/30/2025 7:30:05 PM] New Record for Team's Most Assists (10) in 1 Game for Germany!
[1/26/2025 6:10:59 PM] New Record for Team's Most Hits (25) in 1 Game for Germany!
[1/26/2025 6:10:59 PM] New Record for Team's Most Shots Blocked (11) in 1 Game for Germany!
[1/25/2025 6:16:09 PM] New Record for Team's Most Hits (21) in 1 Game for Germany!
[1/25/2025 6:16:09 PM] New Record for Team's Most Shots (47) in 1 Game for Germany!
[1/24/2025 6:01:52 PM] New Record for Team's Most Shots Blocked (9) in 1 Game for Germany!
[1/24/2025 6:01:52 PM] New Record for Team's Most Points (14) in 1 Game for Germany!
[1/24/2025 6:01:52 PM] New Record for Team's Most Assists (9) in 1 Game for Germany!
[1/24/2025 6:01:52 PM] New Record for Team's Most Goals (5) in 1 Game for Germany!
[1/23/2025 6:35:14 PM] New Record for Team's Most Hits (19) in 1 Game for Germany!
[1/23/2025 6:35:14 PM] New Record for Team's Most Penalties Minutes (33) in 1 Game for Germany!
[1/23/2025 6:35:14 PM] New Record for Team's Most Shots (40) in 1 Game for Germany!
[1/23/2025 6:35:14 PM] New Record for Team's Most Points (10) in 1 Game for Germany!
[1/23/2025 6:35:14 PM] New Record for Team's Most Assists (6) in 1 Game for Germany!
[1/23/2025 6:35:14 PM] New Record for Team's Most Goals (4) in 1 Game for Germany!
[1/22/2025 7:34:13 PM] New Record for Team's Most Hits (15) in 1 Game for Germany!
[1/22/2025 7:34:13 PM] New Record for Team's Most Penalties Minutes (6) in 1 Game for Germany!
[1/22/2025 7:34:13 PM] New Record for Team's Most Shots Blocked (8) in 1 Game for Germany!
[1/22/2025 7:34:13 PM] New Record for Team's Most Shots (27) in 1 Game for Germany!
[1/22/2025 7:34:13 PM] New Record for Team's Most Points (5) in 1 Game for Germany!
[1/22/2025 7:34:13 PM] New Record for Team's Most Assists (3) in 1 Game for Germany!
[1/22/2025 7:34:13 PM] New Record for Team's Most Goals (2) in 1 Game for Germany!
[12/26/2024 4:12:49 PM] Germany hired Christian Bendel for $100,000 for 1 year(s).
[12/25/2024 2:45:03 PM] Hansjurgen Thom was added to Germany.
[12/25/2024 2:44:58 PM] Helgert Finke was added to Germany.
[12/25/2024 2:44:42 PM] Sigbert Dahms was added to Germany.
[12/25/2024 2:44:25 PM] Max Cooper was added to Germany.
[12/25/2024 2:44:21 PM] Marvin Lowe was added to Germany.
[12/25/2024 2:44:09 PM] Timo Wolff was added to Germany.
[12/25/2024 2:43:53 PM] Siegfried Klatt was added to Germany.
[12/25/2024 2:43:44 PM] Mirco Lorenz was added to Germany.
[12/25/2024 2:43:38 PM] Mathias Jeschke was added to Germany.
[12/25/2024 2:43:16 PM] Arnt Pfeffer was added to Germany.
[12/25/2024 2:43:05 PM] Eddi Scholler was added to Germany.
[12/25/2024 2:42:57 PM] Denny Ashmann was added to Germany.
[12/25/2024 2:42:46 PM] Caspar Reichelt was added to Germany.
[12/25/2024 2:42:37 PM] Beat Kogler was added to Germany.
[12/25/2024 2:42:28 PM] Berthold Jansch was added to Germany.
[12/25/2024 2:42:15 PM] Patrick Panitz was added to Germany.
[12/25/2024 2:42:06 PM] Jochen Mock was added to Germany.
[12/25/2024 2:41:54 PM] Erwin Haberer was added to Germany.
[12/25/2024 2:41:46 PM] Hannes Klenk was added to Germany.
[12/25/2024 2:41:30 PM] Olaf Brieger was added to Germany.
[12/25/2024 2:41:23 PM] Thosten Eichhorn was added to Germany.
[12/25/2024 2:41:10 PM] Torge Schaaf was added to Germany.
[12/25/2024 2:40:58 PM] Reiner Volkmer was added to Germany.
[12/25/2024 2:40:48 PM] Florentin Wehrle was added to Germany.
[12/25/2024 2:40:32 PM] Frowin Wendlandt was added to Germany.
[12/25/2024 2:40:17 PM] Florian Rautenberg was added to Germany.
[12/25/2024 2:40:11 PM] Fabian Schroer was added to Germany.
[12/25/2024 2:39:58 PM] Ben Heidrich was added to Germany.
[12/25/2024 2:39:50 PM] Arno Rech was added to Germany.
[12/25/2024 2:39:41 PM] Helgert Pitt was added to Germany.
[12/25/2024 1:04:13 PM] General Manager Change : Germany hired general manager Clarke Stepaniuk
[12/25/2024 1:04:13 PM] General Manager Change : Germany fired general manager Clarke
[12/25/2024 1:03:54 PM] General Manager Change : Germany hired general manager Clarke
[12/25/2024 12:57:32 PM] Team Name Change : Team 6 changed name to Germany

Pas de blessure ou de suspension.

Germany Leaders statistiques des joueurs (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Germany Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Germany Statistiques de l'Équipe de Carrière

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	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Germany Leaders statistiques des joueurs (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Germany Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Germany
	GP: 11 \| W: 5 \| L: 5 \| T: 1 \| P: 15 GF: 31 \| GA: 29 \| PP%: 50.00% \| PK%: 92.00% DG: Clarke Stepaniuk \| Morale : 40 \| Moyenne d’équipe : 70