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

Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	Kris Nissen
	Division	South West
	Conférence	Southern Conference
	Capitaine	Dalen Palmateer
	Assistant #1	Luke Vanni
	Assistant #2	Kody Schutz
Informations de l’aréna
	Nom	Los Muertos Arena
	Capacité	18,000
	Assistance
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	20
	Équipe Mineure	31
	Limite contact	51 / 55
	Espoirs	5
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	59,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	94,784,441$
	Compte bancaire projeté	94,784,441$
Historique d'équipe
	Saison actuelle	0-0-0 (0PTS)
	Historique	185-102-36 (0.573%)
	Apparitions en séries éliminatoires	3
	Historique en séries éliminatoires (W-L)	22 - 16 (0.579%)
	Coupe Stanley	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	#	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	Dalen Palmateer (C)	23	X				100.00	67	58	72	96	99	99	76	94	95	83	77	99	76	66	55	64	50	88	0	23	4	4,650,000$
2	Kody Schutz (A)	22		X			100.00	48	37	76	97	90	95	75	96	79	83	91	84	47	43	60	65	50	85	0	22	5	4,000,000$
3	Donavon Sorley	38		X			100.00	38	39	59	78	81	99	94	99	51	85	81	61	70	63	63	58	50	79	0	24	3	3,500,000$
4	Bruno-Carl Young (R)	24			X		100.00	34	49	65	67	60	87	92	92	49	84	94	97	54	86	33	61	50	79	0	24	3	2,200,000$
5	Hale Labrecque	12			X		100.00	30	54	89	81	90	70	57	88	73	72	98	97	87	82	68	56	50	78	0	25	2	3,750,000$
6	Dillan Dewhurst	40	X				100.00	88	35	79	92	65	99	72	99	91	67	68	50	80	56	97	35	50	77	0	29	3	1,750,000$
7	Hannu-Petteri Hatinen	14			X		100.00	93	40	69	80	97	63	66	91	72	80	68	52	35	92	67	48	50	75	0	27	3	1,100,000$
8	Forster Brittingham (R)	30	X				100.00	98	36	56	93	71	77	52	87	56	45	42	95	64	40	34	64	50	69	0	23	3	1,750,000$
9	Kellen Hopfner (R)	37		X			100.00	43	92	60	88	70	93	90	87	66	41	46	70	38	35	81	69	50	69	0	23	3	1,999,999$
10	Luke Vanni (A)	2				X	100.00	86	41	58	98	99	95	92	99	25	61	72	69	49	43	68	68	50	84	0	22	5	3,500,000$
11	Akio Nishiwaki	5				X	100.00	98	49	83	95	40	99	88	85	25	82	76	65	65	66	61	37	50	81	0	28	3	1,999,999$
12	Johnathon Vreeland	7				X	100.00	99	45	77	95	65	92	52	78	25	73	54	99	93	35	75	49	50	78	0	26	1	1,597,000$
13	Braden Dodd	6				X	100.00	99	48	81	70	98	77	75	90	25	70	52	70	38	40	53	25	50	78	0	31	3	2,000,000$
Rayé
1	Feng Xingyi	28		X			100.00	44	45	95	78	84	95	62	88	49	96	58	84	88	50	63	58	50	79	0	24	3	1,700,000$
2	Elie Van Der Male	88	X				100.00	44	35	71	64	35	87	85	92	99	82	88	94	74	88	66	64	50	78	0	22	5	3,200,000$
3	Artem Ivalahti (R)	87			X		100.00	55	45	86	89	80	75	80	78	72	80	97	26	48	56	53	64	50	75	0	22	5	2,500,000$
4	Francois-Xavier Barnhart (R)	74	X				100.00	40	60	64	62	85	79	86	93	99	63	80	44	89	52	90	52	50	72	0	24	2	1,100,000$
5	Marcel Kacmarik (R)	0				X	100.00	74	68	81	76	86	90	93	85	79	78	80	53	84	66	74	73	50	80	0	18	3	1,000,000$

	MOYENNE D’ÉQUIPE						100.00	65	49	73	83	78	87	77	90	63	74	73	73	66	59	65	56	50	78

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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	Lars-Bjorn Sundholm	1	100.00	78	65	79	67	99	62	99	99	78	60	60	34	97	27	50	79	0	30	2	2,750,000$
2	Pierre-Anthony Back	34	100.00	54	88	73	75	87	89	89	65	84	83	83	54	58	43	50	79	0	26	3	2,750,000$
Rayé

	MOYENNE D’ÉQUIPE		100.00	66	77	76	71	93	76	94	82	81	72	72	44	78	35	50	79

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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

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	Date de la Dernière Transaction	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
Akio Nishiwaki	Muertos	D	28	1999-01-03	JPN	No	185 Lbs	5 ft5	No	No	Trade	2024-03-31	No	No	3	2024-06-04	False	False	Pro & Farm	1,999,999$	1,999,999$	1,999,999$	No	1,999,999$	1,999,999$	-	-	-	-	-	-	-	1,999,999$	1,999,999$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Artem Ivalahti	Muertos	RW	22	2005-08-28	FIN	Yes	222 Lbs	6 ft7	No	No	Assign Manually		No	No	5	2025-09-28	False	False	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	No	2,500,000$	2,500,000$	2,500,000$	2,500,000$	-	-	-	-	-	2,500,000$	2,500,000$	2,500,000$	2,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Braden Dodd	Muertos	D	31	1996-12-11	USA	No	223 Lbs	6 ft7	No	No	Assign Manually	2024-10-16	No	No	3	2025-02-01	False	False	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Bruno-Carl Young	Muertos	RW	24	2003-05-28	CAN	Yes	204 Lbs	6 ft3	No	No	Assign Manually	2025-04-16	No	No	3	2025-09-28	False	False	Pro & Farm	2,200,000$	2,200,000$	2,200,000$	No	2,200,000$	2,200,000$	-	-	-	-	-	-	-	2,200,000$	2,200,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Dalen Palmateer	Muertos	C	23	2004-08-01	CAN	No	212 Lbs	6 ft8	No	No	Assign Manually		No	No	4	2025-02-01	False	False	Pro & Farm	4,650,000$	4,650,000$	4,650,000$	No	4,650,000$	4,650,000$	4,650,000$	-	-	-	-	-	-	4,650,000$	4,650,000$	4,650,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Dillan Dewhurst	Muertos	C	29	1998-08-20	CAN	No	223 Lbs	6 ft8	No	No	Assign Manually		No	No	3	2025-09-28	False	False	Pro & Farm	1,750,000$	1,750,000$	1,750,000$	No	1,750,000$	1,750,000$	-	-	-	-	-	-	-	1,750,000$	1,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Donavon Sorley	Muertos	LW	24	2003-07-22	USA	No	191 Lbs	6 ft2	No	No	N/A		No	No	3	2024-06-04	False	False	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$	3,500,000$	-	-	-	-	-	-	-	3,500,000$	3,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Elie Van Der Male	Muertos	C	22	2005-07-09	CAN	No	177 Lbs	5 ft7	No	No	Assign Manually		No	No	5	2025-09-28	False	False	Pro & Farm	3,200,000$	3,200,000$	3,200,000$	No	3,200,000$	3,200,000$	3,200,000$	3,200,000$	-	-	-	-	-	3,200,000$	3,200,000$	3,200,000$	3,200,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Feng Xingyi	Muertos	LW	24	2003-10-17	CHN	No	185 Lbs	6 ft1	No	No	N/A		No	No	3	2024-06-04	False	False	Pro & Farm	1,700,000$	1,700,000$	1,700,000$	No	1,700,000$	1,700,000$	-	-	-	-	-	-	-	1,700,000$	1,700,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Forster Brittingham	Muertos	C	23	2004-12-15	USA	Yes	182 Lbs	6 ft3	No	No	Free Agent		No	No	3	2024-07-10	False	False	Pro & Farm	1,750,000$	1,750,000$	1,750,000$	No	1,750,000$	1,750,000$	-	-	-	-	-	-	-	1,750,000$	1,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Francois-Xavier Barnhart	Muertos	C	24	2003-06-26	CAN	Yes	167 Lbs	5 ft8	No	No	N/A		No	No	2		False	False	Pro & Farm	1,100,000$	1,100,000$	1,100,000$	No	1,100,000$	-	-	-	-	-	-	-	-	1,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Hale Labrecque	Muertos	RW	25	2002-01-28	USA	No	189 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	3,750,000$	-	-	-	-	-	-	-	-	3,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Hannu-Petteri Hatinen	Muertos	RW	27	2000-01-08	FIN	No	210 Lbs	6 ft3	No	No	N/A		No	No	3	2024-06-04	False	False	Pro & Farm	1,100,000$	1,100,000$	1,100,000$	No	1,100,000$	1,100,000$	-	-	-	-	-	-	-	1,100,000$	1,100,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Johnathon Vreeland	Muertos	D	26	2001-06-20	USA	No	173 Lbs	5 ft5	No	No	Trade	2025-06-12	No	No	1		False	False	Pro & Farm	1,597,000$	1,597,000$	1,597,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kellen Hopfner	Muertos	LW	23	2004-04-13	CAN	Yes	178 Lbs	5 ft10	No	No	Free Agent		No	No	3	2024-07-10	False	False	Pro & Farm	1,999,999$	1,999,999$	1,999,999$	No	1,999,999$	1,999,999$	-	-	-	-	-	-	-	1,999,999$	1,999,999$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Kody Schutz	Muertos	LW	22	2005-07-02	USA	No	206 Lbs	6 ft2	No	No	Assign Manually		No	No	5	2025-09-28	False	False	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	No	4,000,000$	4,000,000$	4,000,000$	4,000,000$	-	-	-	-	-	4,000,000$	4,000,000$	4,000,000$	4,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Lars-Bjorn Sundholm	Muertos	G	30	1997-12-28	SWE	No	169 Lbs	5 ft7	No	No	N/A		No	No	2		False	False	Pro & Farm	2,750,000$	2,750,000$	2,750,000$	No	2,750,000$	-	-	-	-	-	-	-	-	2,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Luke Vanni	Muertos	D	22	2005-03-24	CAN	No	167 Lbs	5 ft5	No	No	Assign Manually		No	No	5	2025-09-28	False	False	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$	3,500,000$	3,500,000$	3,500,000$	-	-	-	-	-	3,500,000$	3,500,000$	3,500,000$	3,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Marcel Kacmarik	Muertos	D	18	2009-01-23	SVK	Yes	206 Lbs	6 ft3	No	No	Assign Manually		No	No	3	2025-10-09	False	False	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Pierre-Anthony Back	Muertos	G	26	2001-04-09	CAN	No	196 Lbs	6 ft3	No	No	Free Agent	2024-06-15	No	No	3	2024-10-11	False	False	Pro & Farm	2,750,000$	2,750,000$	2,750,000$	No	2,750,000$	2,750,000$	-	-	-	-	-	-	-	2,750,000$	2,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
20	24.65	193 Lbs	6 ft1	3.20	2,439,850$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
48,796,998$	47,199,998$	39,599,998$	17,850,000$	13,200,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Kody Schutz	Dalen Palmateer	Hale Labrecque	35	1	2	2
2	Donavon Sorley	Dillan Dewhurst	Bruno-Carl Young	35	1	2	2
3				20	1	2	2
4	Kellen Hopfner	Forster Brittingham	Hannu-Petteri Hatinen	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Luke Vanni	Akio Nishiwaki	35	0	3	2
2	Braden Dodd	Johnathon Vreeland	35	0	3	2
3			20	0	3	2
4	Luke Vanni	Akio Nishiwaki	10	0	3	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Kody Schutz	Dalen Palmateer	Hale Labrecque	50	0	0	5
2	Donavon Sorley	Dillan Dewhurst	Bruno-Carl Young	50	0	0	5

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Luke Vanni	Akio Nishiwaki	50	0	0	5
2	Braden Dodd	Johnathon Vreeland	50	0	0	5

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Dalen Palmateer	Kody Schutz	50	0	5	0
2	Dillan Dewhurst	Donavon Sorley	50	0	5	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Luke Vanni	Akio Nishiwaki	50	0	5	0
2	Braden Dodd	Johnathon Vreeland	50	0	5	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Dalen Palmateer	50	0	5	0	Luke Vanni	Akio Nishiwaki	50	0	5	0
2	Dillan Dewhurst	50	0	5	0	Braden Dodd	Johnathon Vreeland	50	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Dalen Palmateer	Kody Schutz	50	0	3	2
2	Dillan Dewhurst	Donavon Sorley	50	0	3	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Luke Vanni	Akio Nishiwaki	50	0	3	2
2	Braden Dodd	Johnathon Vreeland	50	0	3	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Kody Schutz	Dalen Palmateer	Hale Labrecque	Luke Vanni	Akio Nishiwaki

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Kody Schutz	Dalen Palmateer	Hale Labrecque	Luke Vanni	Akio Nishiwaki

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Donavon Sorley, Dillan Dewhurst,	Donavon Sorley, Dillan Dewhurst	Donavon Sorley

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Johnathon Vreeland, ,	Johnathon Vreeland	Johnathon Vreeland,

Tirs de pénalité
Dalen Palmateer, Kody Schutz, Hale Labrecque, Bruno-Carl Young, Donavon Sorley

Gardien
#1 : Lars-Bjorn Sundholm, #2 : Pierre-Anthony Back

Lignes d’attaque personnalisées en prolongation
Dalen Palmateer, Kody Schutz, Hale Labrecque, Bruno-Carl Young, Donavon Sorley, Dillan Dewhurst, , Hannu-Petteri Hatinen, ,

Lignes de défense personnalisées en prolongation
Luke Vanni, Akio Nishiwaki, Braden Dodd, Johnathon Vreeland,

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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

	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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

			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
0	0	N/A	0	0	0	0	0	0	0	0	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
0	0	0	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
0	0	0%	0	0	0%	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
0	0	0	0	0	0	0	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
0	0	0%	0	0	0%	0	0	0%

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
0	0	0	0	0	0

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	SO	RI	Lien

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	110	65	40	30	200
Assistance	0%	0%	0%	0%	0%
Attendance PCT	0%	0%	0%	0%	0%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
40	0 - 0%	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$	48,796,998$	48,796,998$	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$	20	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	0$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	94,784,441$	94,784,441$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	59,000,000$	59,000,000$	-26,000,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Kody Schutz	AGE:22	PO:65	OV:85
Donavon Sorley	AGE:24	PO:58	OV:79
Feng Xingyi	AGE:24	PO:58	OV:79
Zayden Rankine (R)	AGE:24	PO:58	OV:77
Sebastian Rehn (R)	AGE:18	PO:80	OV:75
David Hutchings (R)	AGE:23	PO:65	OV:71
York Kiki	AGE:26	PO:53	OV:70
Kellen Hopfner (R)	AGE:23	PO:69	OV:69
Semyon Pashkov (R)	AGE:24	PO:55	OV:69
Trent Cully (R)	AGE:22	PO:63	OV:64

Dalen Palmateer	AGE:23	PO:64	OV:88
Elie Van Der Male	AGE:22	PO:64	OV:78
Dillan Dewhurst	AGE:29	PO:35	OV:77
Torrey Birdsell	AGE:32	PO:18	OV:77
Geordie von Wilke (R)	AGE:18	PO:82	OV:74
Francois-Xavier Barnhart (R)	AGE:24	PO:52	OV:72
Ladzimir Lucanok (R)	AGE:22	PO:65	OV:71
Forster Brittingham (R)	AGE:23	PO:64	OV:69
Jerri Viheriaranta (R)	AGE:22	PO:68	OV:67
Bartosch Gellert	AGE:24	PO:57	OV:64
Bjornar Brobakken (R)	AGE:23	PO:55	OV:64

Bruno-Carl Young (R)	AGE:24	PO:61	OV:79
Hale Labrecque	AGE:25	PO:56	OV:78
Loughlin Dowe	AGE:24	PO:62	OV:76
Artem Ivalahti (R)	AGE:22	PO:64	OV:75
Hannu-Petteri Hatinen	AGE:27	PO:48	OV:75
Soren Wanchuk (R)	AGE:21	PO:62	OV:72
Wyatt Baslyk (R)	AGE:23	PO:55	OV:71
Helge Radstrom (R)	AGE:22	PO:66	OV:67
Blaine Wolff (R)	AGE:24	PO:55	OV:64

Défense #1

Défense #2

Gardien

Luke Vanni	AGE:22	PO:68	OV:84
Akio Nishiwaki	AGE:28	PO:37	OV:81
Marcel Kacmarik (R)	AGE:18	PO:73	OV:80
Johnathon Vreeland	AGE:26	PO:49	OV:78
Braden Dodd	AGE:31	PO:25	OV:78
Pelle Jonson (R)	AGE:22	PO:67	OV:76
Jaryd Rooke (R)	AGE:18	PO:67	OV:76
Francois Prigione (R)	AGE:23	PO:61	OV:74

Elan Holman (R)	AGE:22	PO:66	OV:73
Dicky Money (R)	AGE:24	PO:61	OV:73
Oren Chumola (R)	AGE:22	PO:70	OV:71
Austen Gowler (R)	AGE:22	PO:68	OV:71
Kyrre Sakariassen (R)	AGE:23	PO:62	OV:70
Dave Karrys	AGE:25	PO:55	OV:66
John Sodke (R)	AGE:23	PO:61	OV:63

Pierre-Anthony Back	AGE:26	PO:43	OV:79
Lars-Bjorn Sundholm	AGE:30	PO:27	OV:79
Tord Tourula (R)	AGE:23	PO:66	OV:75
Stan Krowina (R)	AGE:24	PO:56	OV:75
Dustin Tousignant	AGE:28	PO:36	OV:75
Sargent Beasley (R)	AGE:20	PO:70	OV:74

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
Carlin Shuler	Muertos	4	20
Florian Rautenberg	Muertos	5	81
Gabriel Pardy	Muertos	4	116
Makar Dargevich	Muertos	5	75
Timo Wolff	Muertos	4	8

Choix au repêchage

Année	R1	R2	R3	R4	R5
5
6
7
8
9
Choix au repêchage conditionnel

Muertos Turning Things Around?

Par Kris Nissen (Muertos) Le Monday 8th May 2023 / 11:19pm

As the Tucson Muertos reach the quarter season mark, they find themselves sitting in 6th place in the conference with a record of 9 wins, 7 losses, and 3 overtime losses for a total of 21 points. While they are not at the top of the standings, the team has some standout players who have contributed to their success so far this season.

One such player is 34-year-old center Zackary Nowry, who has tallied 10 goals and 14 assists in just 19 games played. His strong play has earned him a +8 rating and made him a crucial player on the ice. Joining Nowry in his impressive performance is 25-year-old right winger Niclas Saarelainen, who has also put up impressive numbers with 11 goals and 9 assists in 19 games played. While his +/- rating is even, his scoring touch has made him a dangerous player to watch.

Another player who has made an impact is 26-year-old right winger Brantley Langevin, who has 4 goals and 11 assists in 19 games played, contributing to the team's offensive production. Additionally, 35-year-old left winger Michal England has also been a valuable asset with 6 goals and 8 assists, and a +8 rating.

Despite the strong performances from these players, the team has struggled defensively. 19-year-old center Dalen Palmateer has struggled with a -7 rating, and the team's defense has been inconsistent, allowing too many goals. However, the team's 35-year-old defenseman Jordie Devincentis has contributed with 2 goals and 9 assists and a +1 rating, helping to stabilize the blue line.

In the net, the Muertos have relied on the strong play of 26-year-old goaltender Lars-Bjorn Sundholm, who has a record of 6-5-1 with a save percentage of 0.911 and goals against average of 2.90 in 13 games played. His backup, 24-year-old Dustin Tousignant, has also played well with a 3-2-2 record, a save percentage of 0.913, and goals against average of 3.20 in 7 games played.

As the Muertos prepare to take on the Los Angeles Dynasty on Wednesday, May 10th, they will need to continue to rely on their offensive weapons to put pucks in the net while tightening up their defensive play. If they can do so, they will have a good chance of coming away with a win and continuing their climb up the standings.

Overall, while the team has some areas to improve, they have a solid core of players who are capable of leading them to success. With some tweaks to their defensive play, the Muertos could be a force to be reckoned with as the season progresses.

Voir commentaires (1)

Kieran Green (

Dockheads) Le 10th May / 10:41pm :

good article and insight

Nouveau commentaire

Muertos Historique de transactions

Pas de blessure ou de suspension.

Muertos 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
1	Dalen Palmateer	311	115	184	299	22	238	382	676	1118	10.29%	223	6004	19.31	12	41	53	70	3	1	4	11	21	7	53.11%	1	1.00	6	20
2	Donavon Sorley	277	96	188	284	52	80	195	283	1142	8.41%	90	5150	18.59	17	38	55	95	0	0	0	4	14	4	35.09%	1	1.10	0	2
3	Elie Van Der Male	275	90	141	231	55	55	201	550	680	13.24%	168	5052	18.37	12	30	42	54	1	0	1	4	9	7	54.83%	3	0.91	0	0
4	Kody Schutz	236	111	118	229	16	48	130	303	917	12.10%	118	4428	18.76	17	10	27	65	1	2	3	8	22	7	49.22%	0	1.03	5	15
5	Niclas Saarelainen	240	105	98	203	-4	74	198	152	1020	10.29%	61	4586	19.11	21	15	36	93	0	0	0	0	16	7	46.85%	5	0.89	1	1

Muertos 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
1	Lars-Bjorn Sundholm	192	118	47	19	0.927	2.69	11168	16	3	500	6827	3795	14	6	0.681	69
2	Par Mellgren	63	32	20	7	0.914	3.06	3552	6	0	181	2097	1303	8	3	0.696	23
3	Dustin Tousignant	45	18	19	6	0.911	3.34	2567	2	0	143	1606	962	4	5	0.667	12
4	Pierre-Anthony Back	46	17	15	2	0.895	3.59	2259	2	0	135	1283	554	2	2	1.000	5
5	Tord Tourula	2	2	0	0	0.888	4.39	123	0	0	9	80	37	0	0	0	0

Muertos 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
Saison régulière
1	80	32	30	0	6	4	5	3	276	250	26	40	16	12	0	4	3	2	3	154	138	16	40	16	18	0	2	1	3	0	122	112	10	93	276	445	721	8	2	65	108	92	14	3116	1055	1080	956	47	2992	1058	498	1697	154	34	22.08%	94	10	89.36%	0	1032	1939	53.22%	930	1674	55.56%	625	1194	52.35%	1712	1050	1804	688	1343	658
2	80	41	23	0	3	3	7	3	301	239	62	40	23	9	0	1	0	5	2	152	108	44	40	18	14	0	2	3	2	1	149	131	18	108	301	487	788	2	1	78	122	91	14	3102	1044	1105	924	58	3086	1006	380	1705	172	42	24.42%	55	11	80.00%	1	1032	1954	52.81%	902	1689	53.40%	644	1217	52.92%	1716	1049	1795	681	1348	673
3	80	40	17	0	11	5	2	5	289	220	69	40	17	9	0	6	3	2	3	133	117	16	40	23	8	0	5	2	0	2	156	103	53	116	289	472	761	2	0	94	99	83	18	3095	1105	1033	924	58	2799	993	449	1770	181	45	24.86%	112	18	83.93%	5	1084	2004	54.09%	852	1591	53.55%	646	1204	53.65%	1796	1108	1702	681	1361	684
4	80	33	32	0	0	5	5	5	264	272	-8	40	19	14	0	0	2	4	1	143	138	5	40	14	18	0	0	3	1	4	121	134	-13	86	264	433	697	4	0	83	98	78	13	2982	989	1032	937	61	2883	986	608	1675	152	28	18.42%	145	27	81.38%	2	964	1881	51.25%	921	1776	51.86%	625	1215	51.44%	1775	1095	1746	680	1340	668
Total Saison régulière	320	146	102	0	20	17	19	16	1130	981	149	160	75	44	0	11	8	13	9	582	501	81	160	71	58	0	9	9	6	7	548	480	68	403	1130	1837	2967	16	3	320	427	344	59	12295	4193	4250	3741	224	11760	4043	1935	6847	659	149	22.61%	406	66	83.74%	8	4112	7778	52.87%	3605	6730	53.57%	2540	4830	52.59%	7001	4303	7048	2731	5394	2684
Séries éliminatoires
1	13	7	6	0	0	0	0	0	42	30	12	6	6	0	0	0	0	0	0	27	12	15	7	1	6	0	0	0	0	0	15	18	-3	14	42	71	113	0	0	11	14	16	1	515	187	167	152	9	433	167	85	323	25	6	24.00%	15	6	60.00%	0	144	297	48.48%	150	275	54.55%	97	185	52.43%	286	176	279	111	225	110
2	18	12	6	0	0	0	0	0	61	49	12	10	5	5	0	0	0	0	0	32	31	1	8	7	1	0	0	0	0	0	29	18	11	24	61	101	162	1	0	19	21	16	5	712	253	220	199	40	680	221	140	400	28	9	32.14%	36	4	88.89%	0	200	423	47.28%	207	396	52.27%	140	283	49.47%	395	238	404	158	319	155
3	7	3	4	0	0	0	0	0	20	24	-4	4	0	4	0	0	0	0	0	11	19	-8	3	3	0	0	0	0	0	0	9	5	4	6	20	35	55	0	0	2	8	9	1	245	68	82	86	9	308	90	35	130	10	1	10.00%	10	0	100.00%	0	78	183	42.62%	83	172	48.26%	69	114	60.53%	134	77	178	61	116	56
Total Séries éliminatoires	38	22	16	0	0	0	0	0	123	103	20	20	11	9	0	0	0	0	0	70	62	8	18	11	7	0	0	0	0	0	53	41	12	44	123	207	330	1	0	32	43	41	7	1472	508	469	437	58	1421	478	260	853	63	16	25.40%	61	10	83.61%	0	422	903	46.73%	440	843	52.19%	306	582	52.58%	816	493	862	332	661	321

Muertos Leaders statistiques des joueurs (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKS	GW	GT	FO%	HT	P/20	PSS
1	Donavon Sorley	38	15	23	38	12	25	30	32	142	10.56%	9	690	18.18	3	5	8	7	0	2	0	27.27%	1	1.10	0
2	Elie Van Der Male	38	8	26	34	13	8	30	78	77	10.39%	26	691	18.19	1	6	7	3	0	2	0	50.13%	0	0.98	0
3	Niclas Saarelainen	38	13	15	28	5	12	27	16	162	8.02%	3	668	17.59	2	2	4	8	0	4	0	40.63%	0	0.84	0
4	Hale Labrecque	37	12	15	27	14	5	14	61	132	9.09%	22	667	18.05	1	4	5	3	2	1	0	50.00%	1	0.81	1
5	Dalen Palmateer	35	7	17	24	10	35	50	78	104	6.73%	27	660	18.87	0	2	2	3	2	1	3	52.36%	0	0.73	0

Muertos Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	GA	SA	SAR	A	EG
1	Lars-Bjorn Sundholm	28	15	8	5	0.932	2.47	1728	71	1044	575	3	1
2	Par Mellgren	8	5	3	0	0.920	2.91	453	22	275	162	1	0
3	Dustin Tousignant	1	1	0	0	0.897	4.00	60	4	39	19	0	0
4	Pierre-Anthony Back	2	1	0	0	0.919	3.30	91	5	62	28	0	0

	Muertos
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% DG: Kris Nissen \| Morale : 50 \| Moyenne d’équipe : 78