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
	United States 6-5-0, 18pts	4	FINAL	5	Sweden 10-2-0, 29pts

Team Stats
W1	Séquence	W3
2-2-0	Fiche domicile	6-2-0
4-3-0	Fiche visiteur	4-0-0
5-4-0	Derniers 10 matchs	8-2-0
2.69	Buts par match	3.62
2.08	Buts contre par match	2.46
12.50%	Pourcentage en avantage numérique	24.00%
78.95%	Pourcentage en désavantage numérique	72.00%

United States
6-5-0, 18pts

FINAL

Slovakia
7-4-0, 21pts

Team Stats
W1	Séquence	L2
2-2-0	Fiche domicile	4-2-0
4-3-0	Fiche visiteur	3-2-0
5-4-0	Derniers 10 matchs	5-2-0
2.69	Buts par match	2.40
2.08	Buts contre par match	2.07
12.50%	Pourcentage en avantage numérique	21.88%
78.95%	Pourcentage en désavantage numérique	84.09%

Meneurs d'équipe
	Buts Errol Merwin 7	Passes Lenny Koonts 10

	Points Lenny Koonts 14	Plus/Moins Lenny Koonts 10

	Victoires Remy Botelho 6	Pourcentage d’arrêts Remy Botelho 0.925

Statistiques d’équipe
Buts pour 35 2.69 GFG	Tirs pour 398 30.62 Avg	Pourcentage en avantage numérique 12.5% 3 GF	Début de zone offensive 37.6%
Buts contre 27 2.08 GAA	Tirs contre 359 27.62 Avg	Pourcentage en désavantage numérique 78.9%% 4 GA	Début de la zone défensive 38.6%

Informations de l'équipe
	Directeur général	Casey Schuhmacher
	Entraîneur	Dave Gonzalez
	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	23
	Équipe Mineure	7
	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	1,295,938$
	Compte bancaire actuel	10,000,000$
	Compte bancaire projeté	8,704,062$
Historique d'équipe
	Saison actuelle	6-5-2 ( 18PTS)
	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	Lenny Koonts	0	X				100.00	90	46	83	91	95	76	64	87	89	83	84	80	42	89	97	74	40	83	0	20	4	4,000,000$
2	Kody Schutz	0		X			100.00	48	37	74	91	80	89	73	94	79	80	85	78	47	43	60	77	40	81	0	20	2	1,000,000$
3	Nathanael Miller	0		X			100.00	72	37	72	76	86	93	90	72	83	67	73	94	91	37	63	70	40	80	0	20	4	2,800,000$
4	Errol Merwin (R)	0			X		100.00	31	46	87	52	91	81	60	92	89	94	78	89	54	55	57	79	40	79	0	19	2	900,000$
5	Cole Mcure	0		X			100.00	83	39	84	57	67	94	79	76	61	79	82	89	49	45	35	78	40	78	0	20	2	800,000$
6	B.J. Zack	0			X		100.00	89	38	87	51	55	82	86	70	76	91	79	92	47	59	95	73	40	78	0	20	2	2,535,000$
7	Ritchie Kruger	0	X				100.00	74	28	73	80	90	55	88	78	90	80	62	80	79	44	67	81	40	77	0	19	2	900,000$
8	Brent Knudsen (R)	0	X				100.00	53	56	90	98	85	99	76	91	89	80	45	43	50	51	44	79	40	77	0	20	3	1,000,000$
9	Tod Benedict (R)	0			X		100.00	77	49	90	58	96	66	93	78	88	86	47	74	64	58	78	76	40	77	0	20	3	900,000$
10	Isiah Bruton (R)	0			X		100.00	52	56	88	96	85	94	73	90	89	80	45	40	50	51	44	78	43	76	0	20	2	800,000$
11	Hendy Meen (R)	0	X				100.00	43	61	71	86	34	81	82	63	93	90	61	80	56	77	40	81	43	73	0	18	1	0$
12	Israel Swenson (R)	0		X			100.00	32	40	81	78	62	60	69	91	52	79	52	87	37	80	70	73	40	70	0	20	2	800,000$
13	Durham Hopley	0				X	100.00	50	62	74	87	92	88	69	82	25	79	32	96	91	62	27	83	40	78	0	19	2	1,000,000$
14	Culley Daggett (R)	0				X	100.00	66	60	81	64	92	96	77	72	25	50	63	75	38	37	80	77	40	74	0	19	3	800,000$
15	Regis Kaylor (R)	0				X	100.00	86	57	54	61	55	59	84	88	25	84	73	83	85	68	49	77	40	72	0	20	2	800,000$
16	Elan Holman (R)	0				X	100.00	94	58	66	77	77	90	81	60	25	57	50	52	54	63	47	72	43	71	0	20	1	0$
17	Lowell Hinkley (R)	0				X	100.00	81	56	38	78	92	78	54	89	25	45	42	74	80	72	77	79	40	70	0	19	1	0$
18	Rene Pietila (R)	0				X	100.00	75	34	59	92	37	92	80	93	25	63	57	77	42	43	69	76	40	69	0	19	1	0$
Rayé
1	Antonio Macphedron	0		X			100.00	46	30	81	70	50	63	56	91	88	78	74	94	50	87	48	87	40	72	0	19	2	800,000$
2	Sampson Rushton (R)	0			X		100.00	93	30	80	55	45	94	54	92	55	75	71	70	93	92	64	76	40	71	0	20	1	0$
3	Adler Malley (R)	0				X	100.00	58	32	62	67	64	92	52	68	25	69	30	95	53	89	53	71	40	67	0	20	1	0$

	MOYENNE D’ÉQUIPE						100.00	66	45	75	75	73	82	73	82	62	76	61	78	60	62	60	77	40	75

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	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Remy Botelho (R)	0	100.00	87	92	91	92	56	85	76	65	66	61	54	41	77	81	40	77	0	19	3	800,000$
2	Sargent Beasley (R)	0	100.00	77	55	64	82	56	80	77	72	77	82	80	79	60	80	40	72	0	18	1	0$
Rayé

	MOYENNE D’ÉQUIPE		100.00	82	74	78	87	56	83	77	69	72	72	67	60	69	81	40	75

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dave Gonzalez	64	72	79	72	83	74	50	USA	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	PKM	GW	FO%	FOT	GA	TA	P/20	FL	FT	S1	S2	S3
1	Lenny Koonts	United States	C	13	4	10	14	10	10	10	29	26	55	13	27	7.27%	6	272	20.95	0	1	1	0	21	15	0	55.66%	309	21	3	1.03	1	1	2	1	1
2	Errol Merwin	United States	RW	13	7	5	12	9	2	0	2	15	39	10	14	17.95%	6	244	18.77	0	1	1	3	22	6	3	68.75%	16	3	3	0.98	0	0	2	1	0
3	Kody Schutz	United States	LW	13	6	4	10	0	0	0	18	18	59	16	34	10.17%	2	252	19.39	1	1	2	4	22	17	0	28.57%	21	15	4	0.79	0	0	0	2	1
4	Ritchie Kruger	United States	C	13	4	4	8	2	0	0	17	15	44	8	19	9.09%	1	193	14.87	0	0	0	0	0	9	0	58.33%	108	10	4	0.83	0	0	1	0	1
5	Brent Knudsen	United States	C	13	2	5	7	-3	0	0	12	13	32	11	26	6.25%	5	227	17.52	0	0	0	2	20	0	0	52.33%	172	15	0	0.61	0	0	0	0	0
6	B.J. Zack	United States	RW	13	1	6	7	-3	0	0	16	21	15	4	9	6.67%	4	226	17.45	0	1	1	0	20	0	1	55.56%	9	3	6	0.62	0	0	0	1	1
7	Culley Daggett	United States	D	13	1	5	6	9	2	0	13	16	14	7	8	7.14%	21	319	24.60	1	1	2	1	26	14	1	0%	0	2	12	0.38	0	0	1	0	0
8	Durham Hopley	United States	D	13	0	5	5	9	10	0	13	33	12	9	3	0%	17	317	24.40	0	1	1	0	26	12	0	0%	0	3	9	0.32	0	0	0	0	1
9	Nathanael Miller	United States	LW	13	3	1	4	6	0	0	22	18	33	11	13	9.09%	10	239	18.45	1	0	1	2	20	6	0	63.64%	11	4	3	0.33	0	0	0	1	1
10	Tod Benedict	United States	RW	13	2	2	4	2	0	0	13	24	17	3	13	11.76%	7	179	13.82	0	0	0	0	0	0	1	66.67%	3	3	0	0.45	0	0	0	0	1
11	Antonio Macphedron	United States	LW	6	2	1	3	2	0	0	0	3	6	2	5	33.33%	2	37	6.20	0	0	0	0	0	0	0	0%	0	1	0	1.61	0	0	0	0	0
12	Cole Mcure	United States	LW	13	1	2	3	2	0	0	16	13	16	7	19	6.25%	5	185	14.26	0	0	0	0	0	0	0	37.50%	8	4	3	0.32	0	0	0	0	0
13	Sampson Rushton	United States	RW	6	1	2	3	2	0	0	8	4	4	1	1	25.00%	0	37	6.29	0	0	0	0	0	0	0	100.00%	1	0	1	1.59	0	0	1	0	0
14	Lowell Hinkley	United States	D	13	0	3	3	2	8	0	22	11	8	6	6	0%	16	260	20.00	0	0	0	0	16	11	0	0%	0	0	6	0.23	0	0	0	0	0
15	Rene Pietila	United States	D	13	0	3	3	-2	4	0	15	16	11	5	5	0%	8	210	16.22	0	0	0	0	0	5	0	0%	0	4	4	0.28	0	0	0	0	0
16	Regis Kaylor	United States	D	13	0	2	2	2	8	0	25	7	10	4	4	0%	13	260	20.02	0	0	0	2	16	10	0	0%	0	3	7	0.15	0	0	0	1	0
17	Israel Swenson	United States	LW	13	0	1	1	0	0	0	0	9	10	1	8	0%	2	97	7.48	0	0	0	1	1	5	0	57.14%	14	0	1	0.21	0	0	0	0	0
18	Isiah Bruton	United States	RW	7	1	0	1	-1	0	0	3	3	8	1	5	12.50%	1	65	9.39	0	0	0	0	0	0	0	0%	0	4	1	0.30	0	0	0	0	0
19	Hendy Meen	United States	C	7	0	0	0	-1	0	0	3	5	3	2	2	0%	2	69	9.86	0	0	0	0	0	1	0	37.50%	24	4	1	0	0	0	0	0	0
20	Elan Holman	United States	D	7	0	0	0	-2	4	0	17	5	1	0	2	0%	3	123	17.71	0	0	0	0	0	0	0	0%	0	1	2	0	0	0	0	0	0
21	Adler Malley	United States	D	6	0	0	0	0	0	0	5	3	1	0	1	0%	4	87	14.66	0	0	0	0	0	7	0	0%	0	0	5	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				234	35	61	96	45	48	10	269	278	398	121	224	8.79%	135	3908	16.70	3	6	9	15	214	125	6	54.17%	696	100	75	0.49	1	1	7	7	7

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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Remy Botelho	United States	13	6	5	2	0.925	2.06	788	0	2	27	359	175	1	0	0	0	13	0	1	1	1
Statistiques d’équipe totales ou en moyenne			13	6	5	2	0.925	2.06	788	0	2	27	359	175	1	0		0	13	0	1	1	1

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
Adler Malley	United States	D	20	2005-02-22	USA	Yes	190 Lbs	6 ft1	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Antonio Macphedron	United States	LW	19	2006-06-26	USA	No	179 Lbs	5 ft6	No	No	Assign Manually	No	No	2	2024-12-25	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
B.J. Zack	United States	RW	20	2005-07-14	USA	No	187 Lbs	5 ft5	No	No	Assign Manually	No	No	2	2024-12-25	False	False	Pro & Farm	2,535,000$	0$	0$	No	2,535,000$	-	-	-	-	-	-	-	-	2,535,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Brent Knudsen	United States	C	20	2005-05-13	USA	Yes	184 Lbs	6 ft1	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	-	-	-	-	-	-	-
Cole Mcure	United States	LW	20	2005-04-23	USA	No	214 Lbs	6 ft2	No	No	Assign Manually	No	No	2	2024-12-25	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Culley Daggett	United States	D	19	2006-04-22	USA	Yes	210 Lbs	6 ft0	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	-	-	-	-	-	-	-
Durham Hopley	United States	D	19	2006-03-24	USA	No	195 Lbs	6 ft1	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	-	-	-	-	-	-	-	-
Elan Holman	United States	D	20	2005-02-24	USA	Yes	233 Lbs	6 ft5	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Errol Merwin	United States	RW	19	2006-11-06	USA	Yes	212 Lbs	6 ft8	No	No	Assign Manually	No	No	2	2024-12-25	False	False	Pro & Farm	900,000$	0$	0$	No	900,000$	-	-	-	-	-	-	-	-	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Hendy Meen	United States	C	18	2007-07-26	USA	Yes	234 Lbs	6 ft5	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Isiah Bruton	United States	RW	20	2005-05-13	USA	Yes	184 Lbs	6 ft1	No	No	Assign Manually	No	No	2	2024-12-25	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Israel Swenson	United States	LW	20	2005-02-06	USA	Yes	185 Lbs	5 ft5	No	No	Assign Manually	No	No	2	2024-12-25	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Kody Schutz	United States	LW	20	2005-07-02	USA	No	206 Lbs	6 ft2	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	-	-	-	-	-	-	-	-
Lenny Koonts	United States	C	20	2005-03-25	USA	No	219 Lbs	6 ft8	No	No	Assign Manually	No	No	4	2024-12-25	False	False	Pro & Farm	4,000,000$	0$	0$	No	4,000,000$	4,000,000$	4,000,000$	-	-	-	-	-	-	4,000,000$	4,000,000$	4,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Lowell Hinkley	United States	D	19	2006-09-09	USA	Yes	247 Lbs	6 ft7	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Nathanael Miller	United States	LW	20	2005-09-14	USA	No	208 Lbs	6 ft8	No	No	Assign Manually	No	No	4	2024-12-25	False	False	Pro & Farm	2,800,000$	0$	0$	No	2,800,000$	2,800,000$	2,800,000$	-	-	-	-	-	-	2,800,000$	2,800,000$	2,800,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Regis Kaylor	United States	D	20	2005-10-08	USA	Yes	237 Lbs	6 ft6	No	No	Assign Manually	No	No	2	2024-12-25	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Remy Botelho	United States	G	19	2006-09-02	USA	Yes	219 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	-	-	-	-	-	-	-
Rene Pietila	United States	D	19	2006-11-22	USA	Yes	183 Lbs	5 ft7	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ritchie Kruger	United States	C	19	2006-09-07	USA	No	209 Lbs	6 ft0	No	No	Assign Manually	No	No	2	2024-12-25	False	False	Pro & Farm	900,000$	0$	0$	No	900,000$	-	-	-	-	-	-	-	-	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Sampson Rushton	United States	RW	20	2005-09-24	USA	Yes	187 Lbs	5 ft11	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Sargent Beasley	United States	G	18	2007-10-15	USA	Yes	195 Lbs	6 ft1	No	No	Assign Manually	No	No	1	2024-12-25	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Tod Benedict	United States	RW	20	2005-11-25	USA	Yes	179 Lbs	5 ft7	No	No	Assign Manually	No	No	3	2024-12-25	False	False	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	-	-	-	-	-	-	-	900,000$	900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	19.48	204 Lbs	6 ft1	2.04	897,174$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
20,635,000$	20,635,000$	10,300,000$	6,800,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Nathanael Miller	Lenny Koonts	Errol Merwin	30	0	2	3
2	Kody Schutz	Brent Knudsen	B.J. Zack	30	1	1	3
3	Cole Mcure	Ritchie Kruger	Tod Benedict	25	1	2	2
4	Israel Swenson	Hendy Meen	Isiah Bruton	15	3	1	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Durham Hopley	Culley Daggett	34	1	3	1
2	Regis Kaylor	Lowell Hinkley	33	1	3	1
3	Rene Pietila	Elan Holman	33	1	3	1
4	Durham Hopley	Culley Daggett	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Kody Schutz	Lenny Koonts	Errol Merwin	60	1	0	4
2	Nathanael Miller	Brent Knudsen	B.J. Zack	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Durham Hopley	Culley Daggett	60	1	3	1
2	Regis Kaylor	Lowell Hinkley	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Lenny Koonts	Kody Schutz	60	1	3	1
2	Nathanael Miller	Errol Merwin	40	1	3	1

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Durham Hopley	Culley Daggett	60	1	3	1
2	Regis Kaylor	Lowell Hinkley	40	1	3	1

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Lenny Koonts	60	1	3	1	Durham Hopley	Culley Daggett	60	2	3	0
2	Kody Schutz	40	1	3	1	Regis Kaylor	Lowell Hinkley	40	2	3	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Lenny Koonts	Kody Schutz	60	1	2	2
2	Nathanael Miller	Errol Merwin	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Durham Hopley	Culley Daggett	60	1	2	2
2	Regis Kaylor	Lowell Hinkley	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Kody Schutz	Lenny Koonts	Errol Merwin	Durham Hopley	Culley Daggett

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Kody Schutz	Lenny Koonts	Errol Merwin	Durham Hopley	Culley Daggett

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Israel Swenson, Cole Mcure, Ritchie Kruger	Israel Swenson, Cole Mcure	Ritchie Kruger

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Rene Pietila, Culley Daggett, Regis Kaylor	Rene Pietila	Lowell Hinkley, Regis Kaylor

Tirs de pénalité
Lenny Koonts, Kody Schutz, Nathanael Miller, Errol Merwin, Cole Mcure

Gardien
#1 : Remy Botelho, #2 : Sargent Beasley

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	3	1	1	1	0	0	0	0	10	9	1	1	0	1	0	0	0	0	0	1	3	-2	2	1	0	1	0	0	0	0	9	6	3	3	0.333	10	17	27	0	0	4	5	1	0	101	24	36	37	4	110	48	8	73	2	0	0.00%	4	1	75.00%	0	157	262	59.92%	141	269	52.42%	79	165	47.88%	76	48	57	24	50	27
2	Denmark	2	1	1	0	0	0	0	0	3	3	0	1	1	0	0	0	0	0	0	2	0	2	1	0	1	0	0	0	0	0	1	3	-2	3	0.500	3	5	8	0	1	0	2	1	0	54	12	27	15	0	37	19	8	39	4	0	0.00%	4	2	50.00%	0	157	262	59.92%	141	269	52.42%	79	165	47.88%	48	28	33	17	37	20
3	Germany	2	0	1	1	0	0	0	0	4	5	-1	1	0	0	1	0	0	0	0	2	2	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	4	7	11	0	0	1	3	0	0	64	31	18	15	0	59	22	8	42	4	0	0.00%	4	1	75.00%	0	157	262	59.92%	141	269	52.42%	79	165	47.88%	46	27	40	19	37	19
4	Norway	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	5	1	4	6	1.000	7	12	19	0	0	2	2	3	0	68	20	22	26	0	49	10	10	43	5	1	20.00%	0	0	0%	0	157	262	59.92%	141	269	52.42%	79	165	47.88%	50	31	33	16	35	19
5	Russia	2	1	1	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	3	1	2	3	0.500	4	7	11	0	0	1	1	2	0	58	22	20	16	0	46	14	8	36	4	0	0.00%	4	0	100.00%	0	157	262	59.92%	141	269	52.42%	79	165	47.88%	47	28	37	18	35	18
6	Slovakia	1	1	0	0	0	0	0	0	3	0	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	0	3	3	1.000	3	5	8	0	1	3	0	0	0	24	15	5	4	0	21	10	2	12	3	1	33.33%	1	0	100.00%	0	157	262	59.92%	141	269	52.42%	79	165	47.88%	22	14	20	9	16	8
7	Sweden	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	4	8	12	0	0	0	2	2	0	29	6	15	8	0	37	12	4	24	2	1	50.00%	2	0	100.00%	0	157	262	59.92%	141	269	52.42%	79	165	47.88%	22	13	20	8	16	8
	Total	13	6	5	2	0	0	0	0	35	27	8	5	2	2	1	0	0	0	0	8	8	0	8	4	3	1	0	0	0	0	27	19	8	18	0.462	35	61	96	0	2	11	15	9	0	398	130	143	121	4	359	135	48	269	24	3	12.50%	19	4	78.95%	0	157	262	59.92%	141	269	52.42%	79	165	47.88%	315	192	242	114	232	122
	_Since Last GM Reset	13	8	5	0	0	0	0	0	35	27	8	5	2	2	1	0	0	0	0	8	8	0	8	6	3	-1	0	0	0	0	27	19	8	24	0.615	35	61	96	0	2	11	15	9	0	398	130	143	121	4	359	135	48	269	24	3	12.50%	19	4	78.95%	0	157	262	59.92%	141	269	52.42%	79	165	47.88%	315	192	242	114	232	122
	_Vs Conference	11	5	4	2	0	0	0	0	28	22	6	5	2	2	1	0	0	0	0	8	8	0	6	3	2	1	0	0	0	0	20	14	6	15	0.455	28	48	76	0	1	8	13	7	0	345	109	123	109	4	301	113	42	233	19	1	5.26%	16	4	75.00%	0	157	262	59.92%	141	269	52.42%	79	165	47.88%	270	164	201	96	198	105
	_Vs Division	5	1	2	2	0	0	0	0	14	14	0	2	0	1	1	0	0	0	0	3	5	-2	3	1	1	1	0	0	0	0	11	9	2	3	0.200	14	24	38	0	0	5	8	1	0	165	55	54	52	4	169	70	16	115	6	0	0.00%	8	2	75.00%	0	157	262	59.92%	141	269	52.42%	79	165	47.88%	123	75	97	43	88	47

			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
13	18	W1	35	61	96	398	359	135	48	269	0	2

Tous les matchs
GP	W	L	OTW	OTL	T	GF	GA
13	6	5	0	0	2	35	27

Matchs locaux
GP	W	L	OTW	OTL	T	GF	GA
5	2	2	0	0	1	8	8

Matchs extérieurs
GP	W	L	OTW	OTL	T	GF	GA
8	4	3	0	0	1	27	19

Derniers 10 matchs
W	L	OTW	OTL	T
5	4	0	0	1

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	3	12.50%	19	4	78.95%	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
130	143	121	4	11	15	9	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
157	262	59.92%	141	269	52.42%	79	165	47.88%

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
315	192	242	114	232	122

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	9	Norway	1	United States	2	W		Sommaire du match
3	14	Russia	2	United States	1	L		Sommaire du match
4	19	United States	3	Belarus	3	T	X	Sommaire du match
5	30	United States	1	Denmark	3	L		Sommaire du match
6	32	United States	2	Germany	3	L		Sommaire du match
7	42	United States	5	Norway	1	W		Sommaire du match
8	43	United States	3	Russia	1	W		Sommaire du match
9	51	Belarus	3	United States	1	L		Sommaire du match
10	56	Denmark	0	United States	2	W		Sommaire du match
11	63	United States	6	Belarus	3	W		Sommaire du match
14	67	United States	4	Sweden	5	L		Sommaire du match
15	69	United States	3	Slovakia	0	W		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$	20,635,000$	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	1,295,938$	1,295,938$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
1,295,938$	10,000,000$	8,704,062$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Kody Schutz	AGE:20	PO:77	OV:81
Nathanael Miller	AGE:20	PO:70	OV:80
Cole Mcure	AGE:20	PO:78	OV:78
Woodrow Convrey (R)	AGE:18	PO:83	OV:73
Antonio Macphedron	AGE:19	PO:87	OV:72
Israel Swenson (R)	AGE:20	PO:73	OV:70

Lenny Koonts	AGE:20	PO:74	OV:83
Ritchie Kruger	AGE:19	PO:81	OV:77
Brent Knudsen (R)	AGE:20	PO:79	OV:77
Hendy Meen (R)	AGE:18	PO:81	OV:73
Marten Samways (R)	AGE:18	PO:77	OV:69

Errol Merwin (R)	AGE:19	PO:79	OV:79
B.J. Zack	AGE:20	PO:73	OV:78
Tod Benedict (R)	AGE:20	PO:76	OV:77
Isiah Bruton (R)	AGE:20	PO:78	OV:76
Jason Krouse (R)	AGE:19	PO:89	OV:73
Brantt Mackaness (R)	AGE:19	PO:88	OV:73
Sampson Rushton (R)	AGE:20	PO:76	OV:71

Défense #1

Défense #2

Gardien

Durham Hopley	AGE:19	PO:83	OV:78
Culley Daggett (R)	AGE:19	PO:77	OV:74
Regis Kaylor (R)	AGE:20	PO:77	OV:72
Elan Holman (R)	AGE:20	PO:72	OV:71
Alfred Rice (R)	AGE:20	PO:80	OV:70

Lowell Hinkley (R)	AGE:19	PO:79	OV:70
Rene Pietila (R)	AGE:19	PO:76	OV:69
Adler Malley (R)	AGE:20	PO:71	OV:67
Axel Moreau (R)	AGE:18	PO:88	OV:66

Remy Botelho (R)	AGE:19	PO:81	OV:77
Henrick Polley (R)	AGE:19	PO:78	OV:73
Sargent Beasley (R)	AGE:18	PO:80	OV:72

Espoirs

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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

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	USA	USA	USA	USA	USA
3	USA	USA	USA	USA	USA
4	USA	USA	USA	USA	USA
5	USA	USA	USA	USA	USA
6	USA	USA	USA	USA	USA
Choix au repêchage conditionnel

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

United States Historique de transactions

[2/1/2025 6:24:25 PM] New Record for Team's Most Points (16) in 1 Game for United States!
[2/1/2025 6:24:25 PM] New Record for Team's Most Assists (10) in 1 Game for United States!
[2/1/2025 6:24:25 PM] New Record for Team's Most Goals (6) in 1 Game for United States!
[1/30/2025 7:30:07 PM] New Record for Team's Most Shots Blocked (22) in 1 Game for United States!
[1/28/2025 6:05:50 PM] New Record for Team's Most Shots (38) in 1 Game for United States!
[1/28/2025 6:05:50 PM] New Record for Team's Most Points (14) in 1 Game for United States!
[1/28/2025 6:05:50 PM] New Record for Team's Most Assists (9) in 1 Game for United States!
[1/28/2025 6:05:50 PM] New Record for Team's Most Goals (5) in 1 Game for United States!
[1/26/2025 6:11:00 PM] New Record for Team's Most Shots Blocked (12) in 1 Game for United States!
[1/25/2025 6:16:08 PM] New Record for Team's Most Shots (37) in 1 Game for United States!
[1/25/2025 6:16:08 PM] New Record for Team's Most Points (8) in 1 Game for United States!
[1/25/2025 6:16:08 PM] New Record for Team's Most Assists (5) in 1 Game for United States!
[1/25/2025 6:16:08 PM] New Record for Team's Most Goals (3) in 1 Game for United States!
[1/23/2025 6:35:14 PM] New Record for Team's Most Penalties Minutes (10) in 1 Game for United States!
[1/22/2025 7:34:13 PM] New Record for Team's Most Hits (27) in 1 Game for United States!
[1/22/2025 7:34:13 PM] New Record for Team's Most Penalties Minutes (4) in 1 Game for United States!
[1/22/2025 7:34:13 PM] New Record for Team's Most Shots Blocked (10) in 1 Game for United States!
[1/22/2025 7:34:13 PM] New Record for Team's Most Shots (33) in 1 Game for United States!
[1/22/2025 7:34:13 PM] New Record for Team's Most Points (5) in 1 Game for United States!
[1/22/2025 7:34:13 PM] New Record for Team's Most Assists (3) in 1 Game for United States!
[1/22/2025 7:34:13 PM] New Record for Team's Most Goals (2) in 1 Game for United States!
[1/22/2025 7:34:13 PM] New Record for Team's Most Hits (27) in 1 Game for United States!
[12/26/2024 4:12:25 PM] United States hired Dave Gonzalez for $100,000 for 1 year(s).
[12/25/2024 3:12:43 PM] Tod Benedict was added to United States.
[12/25/2024 3:12:36 PM] Sargent Beasley was added to United States.
[12/25/2024 3:12:30 PM] Sampson Rushton was added to United States.
[12/25/2024 3:12:25 PM] Rene Pietila was added to United States.
[12/25/2024 3:12:16 PM] Brent Knudsen was added to United States.
[12/25/2024 3:12:06 PM] Axel Moreau was added to United States.
[12/25/2024 3:12:00 PM] Adler Malley was added to United States.
[12/25/2024 3:11:55 PM] Alfred Rice was added to United States.
[12/25/2024 3:11:49 PM] Remy Botelho was added to United States.
[12/25/2024 3:11:43 PM] Regis Kaylor was added to United States.
[12/25/2024 3:11:40 PM] Lowell Hinkley was added to United States.
[12/25/2024 3:11:15 PM] Isiah Bruton was added to United States.
[12/25/2024 3:11:08 PM] Henrick Polley was added to United States.
[12/25/2024 3:11:02 PM] Elan Holman was added to United States.
[12/25/2024 3:10:57 PM] Durham Hopley was added to United States.
[12/25/2024 3:10:53 PM] Culley Daggett was added to United States.
[12/25/2024 3:10:46 PM] B.J. Zack was added to United States.
[12/25/2024 3:10:14 PM] Jason Krouse was added to United States.
[12/25/2024 3:10:09 PM] Errol Merwin was added to United States.
[12/25/2024 3:10:04 PM] Cole Mcure was added to United States.
[12/25/2024 3:09:57 PM] Antonio Macphedron was added to United States.
[12/25/2024 3:09:50 PM] Nathanael Miller was added to United States.
[12/25/2024 3:09:41 PM] Kody Schutz was added to United States.
[12/25/2024 3:09:36 PM] Israel Swenson was added to United States.
[12/25/2024 3:09:32 PM] Woodrow Convrey was added to United States.
[12/25/2024 3:09:26 PM] Brantt Mackaness was added to United States.
[12/25/2024 3:09:19 PM] Lenny Koonts was added to United States.
[12/25/2024 3:09:14 PM] Ritchie Kruger was added to United States.
[12/25/2024 3:09:09 PM] Marten Samways was added to United States.
[12/25/2024 3:09:04 PM] Hendy Meen was added to United States.
[12/25/2024 1:05:11 PM] General Manager Change : United States hired general manager Casey Schuhmacher
[12/25/2024 1:05:11 PM] General Manager Change : United States fired general manager Casey Schumacher
[12/25/2024 1:05:02 PM] General Manager Change : United States hired general manager Casey Schumacher
[12/25/2024 12:57:42 PM] Team Name Change : Team 8 changed name to United States

Pas de blessure ou de suspension.

United States 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

United States 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

United States 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

United States 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

United States 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

	United States
	GP: 13 \| W: 6 \| L: 5 \| T: 2 \| P: 18 GF: 35 \| GA: 27 \| PP%: 12.50% \| PK%: 78.95% DG: Casey Schuhmacher \| Morale : 40 \| Moyenne d’équipe : 75