Association Québécoise de Hockey Simulé

Association Québécoise de Hockey Simulé - Detroit Red Wings

Detroit Red Wings

GP: 17 | W: 8 | L: 8 | OTL: 1 | P: 17
GF: 50 | GA: 54 | PP%: 10.87% | PK%: 85.71%
DG: Dominic Dion | Morale : 90 | Moyenne d'Équipe : 71
Prochain matchs #276 vs Atlanta Supra

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Scorpions
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Historique
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Stats d'équipe en Carrière

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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 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
1	Martin Necas	X				95.00	61	45	84	93	64	92	99	81	75	83	78	62	77	84	79	0	90	78	0
2	Jack McBain	X				97.00	99	57	74	81	72	70	99	58	74	54	62	79	67	83	74	0	90	70	0
3	Dominik Kubalik			X		99.00	71	45	87	87	65	75	98	68	30	65	70	55	70	87	79	0	90	69	0
4	Nicklas Backstrom		X			99.00	59	45	85	86	69	84	47	67	80	69	65	68	81	95	89	0	90	69	0
5	Ryan McLeod	X				100.00	61	45	86	82	73	71	69	62	78	57	66	76	68	83	74	0	90	68	0
6	Kent Johnson	X				100.00	50	45	90	88	53	73	95	66	60	65	67	55	79	80	72	0	90	68	0
7	Taylor Raddysh			X		100.00	70	45	89	84	71	83	94	64	30	58	71	58	69	85	79	0	90	68	0
8	Philip Tomasino		X			100.00	66	45	90	88	55	78	40	69	30	74	63	66	82	81	74	0	90	67	0
9	Arthur Kaliyev			X		100.00	62	45	89	83	75	58	68	66	30	62	69	55	71	81	70	0	90	66	0
10	Kiefer Sherwood			X		100.00	99	51	69	84	63	68	40	62	30	55	68	69	68	88	79	0	90	65	0
11	Alex Chiasson		X			100.00	61	45	87	82	78	60	40	63	30	52	75	59	69	92	81	0	90	64	0
12	Dougie Hamilton (C)				X	97.00	63	45	78	95	88	91	99	88	30	92	83	67	77	89	85	0	90	83	0
13	John Marino				X	100.00	61	45	86	84	53	88	77	58	30	58	58	94	67	85	80	0	90	72	0
14	Joel Edmundson (A)				X	100.00	88	51	69	77	81	82	74	54	30	55	54	83	66	89	83	0	90	72	0
15	Zach Werenski				X	100.00	51	45	95	83	71	98	40	64	30	61	68	84	69	85	83	0	90	71	0
16	Ethan Bear				X	100.00	60	48	84	82	57	77	74	57	30	57	56	84	67	85	78	0	90	69	0
17	Erik Brannstrom				X	100.00	61	45	81	83	49	67	89	56	30	58	53	83	67	83	73	0	90	68	0
Rayé
1	Andrew Peeke				X	99.74	98	45	87	77	72	89	97	53	30	47	59	89	66	85	80	0	90	74	0

	MOYENNE D'ÉQUIPE					99.22	69	47	84	84	67	78	74	64	42	62	66	71	71	86	78	0	90	70

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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
1	Ilya Samsonov	99.00	94	76	89	88	95	91	94	91	95	94	70	85	81	0	90	78	0
2	Pheonix Copley	100.00	87	71	82	88	91	81	87	81	91	86	78	91	86	0	90	75	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	91	74	86	88	93	86	91	86	93	90	74	88	84	0	90	77

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Lindy Ruff	71	92	96	96	98	71	44	CAN	64	3	5,000,000$

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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 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	P/20	PSS	S1	S2	S3
1	Martin Necas	Detroit Red Wings	C	14	9	7	16	0	12	0	30	38	72	22	50	12.50%	8	346	24.72	2	1	3	6	37	1	34	3	0	50.25%	408	12	6	0.92	0	3	1	1
2	Dougie Hamilton	Detroit Red Wings	D	15	2	13	15	1	37	5	20	24	58	24	21	3.45%	16	371	24.76	0	1	1	7	41	1	29	0	0	0.00%	0	21	10	0.81	0	0	0	1
3	Taylor Raddysh	Detroit Red Wings	RW	17	6	5	11	-1	4	0	23	20	38	11	25	15.79%	5	271	15.96	0	2	2	1	32	0	0	1	1	50.00%	12	8	5	0.81	0	0	0	0
4	Dominik Kubalik	Detroit Red Wings	RW	17	4	6	10	-1	8	0	30	14	47	19	17	8.51%	5	347	20.42	0	2	2	8	43	1	31	0	1	36.36%	22	13	6	0.58	1	0	0	1
5	Nicklas Backstrom	Detroit Red Wings	LW	17	4	6	10	-2	4	0	30	26	38	13	28	10.53%	6	347	20.42	1	2	3	3	43	0	33	0	1	62.50%	32	11	6	0.58	1	0	1	1
6	Arthur Kaliyev	Detroit Red Wings	RW	17	3	5	8	1	2	0	28	19	45	20	30	6.67%	6	247	14.56	0	0	0	0	1	0	15	1	0	12.50%	16	10	3	0.65	0	0	2	0
7	Alex Chiasson	Detroit Red Wings	LW	17	4	3	7	2	4	0	15	12	31	8	12	12.90%	9	220	13.00	0	0	0	0	3	0	9	0	1	20.00%	10	4	2	0.63	0	0	0	2
8	Jack McBain	Detroit Red Wings	C	17	2	5	7	0	10	0	36	34	24	9	18	8.33%	7	347	20.46	0	0	0	0	33	2	45	1	0	51.17%	299	2	14	0.40	1	0	2	0
9	Kent Johnson	Detroit Red Wings	C	17	5	2	7	2	4	0	11	31	42	13	18	11.90%	7	262	15.45	0	0	0	0	9	0	6	0	0	42.76%	152	8	4	0.53	0	0	0	1
10	Andrew Peeke	Detroit Red Wings	D	17	1	5	6	2	8	0	28	32	19	13	11	5.26%	22	388	22.83	1	0	1	2	45	1	46	1	0	0.00%	0	3	11	0.31	0	1	0	1
11	John Marino	Detroit Red Wings	D	17	1	5	6	-7	4	0	6	27	20	5	16	5.00%	16	341	20.11	0	1	1	0	30	1	40	0	0	0.00%	0	4	18	0.35	0	0	0	0
12	Philip Tomasino	Detroit Red Wings	LW	11	1	4	5	-5	6	0	16	11	24	7	15	4.17%	4	173	15.80	0	1	1	0	20	0	0	0	0	0.00%	3	8	3	0.58	0	0	0	0
13	Pavel Dorofeyev	Scorpions (DET)	LW	9	4	1	5	4	2	0	9	6	18	10	18	22.22%	3	134	14.89	0	0	0	0	10	0	0	1	0	0.00%	1	2	4	0.75	0	1	0	0
14	Joel Edmundson	Detroit Red Wings	D	17	1	4	5	-1	4	0	19	21	17	3	4	5.88%	22	333	19.62	1	0	1	1	31	0	37	0	0	0.00%	0	1	10	0.30	0	1	0	0
15	Ryan McLeod	Detroit Red Wings	C	17	2	2	4	-1	0	0	9	13	14	0	14	14.29%	3	160	9.45	0	0	0	0	3	1	6	0	0	54.76%	84	4	2	0.50	0	1	0	0
16	Erik Brannstrom	Detroit Red Wings	D	17	0	4	4	-2	2	0	6	10	4	1	2	0.00%	8	124	7.34	0	0	0	0	0	0	8	0	0	0.00%	0	0	7	0.64	0	0	0	0
17	Zach Werenski	Detroit Red Wings	D	16	1	2	3	5	0	0	1	15	15	4	9	6.67%	15	242	15.13	0	0	0	0	9	0	6	0	0	0.00%	0	5	10	0.25	0	0	0	0
18	Ethan Bear	Detroit Red Wings	D	17	0	2	2	0	4	0	10	16	9	7	4	0.00%	10	243	14.35	0	0	0	0	1	0	15	0	0	0.00%	0	3	13	0.16	0	0	0	0
19	Kiefer Sherwood	Detroit Red Wings	RW	17	0	2	2	-1	6	0	15	4	12	3	9	0.00%	3	107	6.30	0	0	0	0	0	0	3	0	0	80.00%	5	1	4	0.37	0	0	0	0
20	Fabian Zetterlund	Scorpions (DET)	LW	1	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	5	5.50	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0
21	Nils Lundkvist	Scorpions (DET)	D	2	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	8	4.33	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0.00	0	0	0	0
Stats d'équipe Total ou en Moyenne				306	50	83	133	-4	121	5	342	373	547	192	321	9.14%	175	5025	16.42	5	10	15	28	398	8	371	8	4	48.95%	1044	120	139	0.53	3	7	6	8

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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	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	EG	PS %	PSA	ST	BG	S1	S3
1	Ilya Samsonov	Detroit Red Wings	16	7	8	1	0.894	3.11	966	4	50	473	181	2	0.667	3	16	1	1	1
2	Pheonix Copley	Detroit Red Wings	1	1	0	0	0.967	1.00	60	0	1	30	11	0	0.000	0	1	16	1	0
Stats d'équipe Total ou en Moyenne			17	8	8	1	0.899	2.98	1026	4	51	503	192	2	0.667	3	17	17	2	1

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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 Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial
Alex Chiasson	Detroit Red Wings	LW	32	1990-10-01	No	208 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	4,500,000$	4,500,000$	3,575,893$	No
Andrew Peeke	Detroit Red Wings	D	25	1998-03-17	No	210 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$	794,643$	No
Arthur Kaliyev	Detroit Red Wings	RW	22	2001-06-26	No	210 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	2,000,000$	2,000,000$	1,589,286$	No
Dominik Kubalik	Detroit Red Wings	RW	28	1995-08-21	No	190 Lbs	6 ft2	No	No	No	4	Sans Restriction	Pro & Farm	2,500,000$	2,500,000$	1,986,607$	No
Dougie Hamilton	Detroit Red Wings	D	30	1993-06-17	No	230 Lbs	6 ft6	No	No	No	3	Sans Restriction	Pro & Farm	6,500,000$	6,500,000$	5,165,179$	No
Erik Brannstrom	Detroit Red Wings	D	24	1999-09-02	No	185 Lbs	5 ft10	No	No	No	4	Avec Restriction	Pro & Farm	1,200,000$	1,200,000$	953,571$	No
Ethan Bear	Detroit Red Wings	D	26	1997-06-26	No	197 Lbs	5 ft11	No	No	No	3	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	1,191,964$	No
Ilya Samsonov	Detroit Red Wings	G	26	1997-02-22	No	214 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	4,000,000$	4,000,000$	3,178,571$	No
Jack McBain	Detroit Red Wings	C	23	2000-01-06	No	201 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$	794,643$	No
Joel Edmundson	Detroit Red Wings	D	30	1993-06-28	No	221 Lbs	6 ft5	No	No	No	3	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	2,781,250$	No
John Marino	Detroit Red Wings	D	26	1997-05-21	No	181 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	2,250,000$	2,250,000$	1,787,946$	No
Kent Johnson	Detroit Red Wings	C	20	2002-10-18	No	175 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	1,200,000$	1,200,000$	953,571$	No
Kiefer Sherwood	Detroit Red Wings	RW	28	1995-03-31	No	194 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	800,000$	800,000$	635,714$	No
Martin Necas	Detroit Red Wings	C	24	1999-01-15	No	189 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	6,000,000$	6,000,000$	4,767,857$	No
Nicklas Backstrom	Detroit Red Wings	LW	35	1987-11-23	No	202 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$	3,178,571$	No
Pheonix Copley	Detroit Red Wings	G	31	1992-01-18	No	200 Lbs	6 ft4	No	No	No	3	Sans Restriction	Pro & Farm	2,100,000$	2,100,000$	1,668,750$	No
Philip Tomasino	Detroit Red Wings	LW	22	2001-07-28	No	179 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	1,200,000$	1,200,000$	953,571$	No
Ryan McLeod	Detroit Red Wings	C	24	1999-09-21	No	207 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	1,191,964$	No
Taylor Raddysh	Detroit Red Wings	RW	25	1998-02-18	No	198 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$	794,643$	No
Zach Werenski	Detroit Red Wings	D	26	1997-07-19	No	213 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	5,500,000$	5,500,000$	4,370,536$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	26.35	200 Lbs	6 ft2	2.30	2,662,500$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
53,250,000$	34,700,000$	30,300,000$	3,700,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Nicklas Backstrom	Martin Necas	Dominik Kubalik	35	1	2	2
2	Philip Tomasino	Jack McBain	Taylor Raddysh	30	1	2	2
3	Alex Chiasson	Kent Johnson	Arthur Kaliyev	25	1	2	2
4	Martin Necas	Ryan McLeod	Kiefer Sherwood	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dougie Hamilton		35	1	2	2
2	Joel Edmundson	John Marino	30	1	2	2
3	Zach Werenski	Ethan Bear	25	1	2	2
4	Erik Brannstrom	Dougie Hamilton	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Nicklas Backstrom	Martin Necas	Dominik Kubalik	55	1	2	2
2	Philip Tomasino	Jack McBain	Taylor Raddysh	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dougie Hamilton		55	1	2	2
2	Joel Edmundson	John Marino	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Martin Necas	Jack McBain	55	1	2	2
2	Dominik Kubalik	Nicklas Backstrom	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dougie Hamilton		55	1	2	2
2	Joel Edmundson	John Marino	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Martin Necas	55	1	2	2	Dougie Hamilton		55	1	2	2
2	Jack McBain	45	1	2	2	Joel Edmundson	John Marino	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Martin Necas	Jack McBain	55	1	2	2
2	Dominik Kubalik	Nicklas Backstrom	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dougie Hamilton		55	1	2	2
2	Joel Edmundson	John Marino	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nicklas Backstrom	Martin Necas	Dominik Kubalik	Dougie Hamilton

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nicklas Backstrom	Martin Necas	Dominik Kubalik	Dougie Hamilton

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Kent Johnson, Ryan McLeod, Arthur Kaliyev	Kent Johnson, Ryan McLeod	Arthur Kaliyev

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Zach Werenski, Ethan Bear, Erik Brannstrom	Zach Werenski	Ethan Bear, Erik Brannstrom

Tirs de Pénalité
Martin Necas, Jack McBain, Dominik Kubalik, Nicklas Backstrom, Kent Johnson

Gardien
#1 : Ilya Samsonov, #2 : Pheonix Copley

Lignes d'Attaque Perso. en Prol.
Martin Necas, Jack McBain, Dominik Kubalik, Nicklas Backstrom, Kent Johnson, Taylor Raddysh, Taylor Raddysh, Ryan McLeod, Philip Tomasino, Arthur Kaliyev, Kiefer Sherwood

Lignes de Défense Perso. en Prol.
Dougie Hamilton, , Joel Edmundson, John Marino, Zach Werenski

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

	Ligue												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	Atlanta Supra	2	2	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	6	10	16	0	0	1	4	1	0	64	22	24	18	0	62	27	14	42	7	2	28.57%	7	2	71.43%	0	195	384	50.78%	196	413	47.46%	120	239	50.21%	39	21	46	18	34	16
2	Boston Bruins	2	0	1	0	1	0	0	0	4	4	0	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	4	8	12	0	0	1	0	2	1	52	22	12	15	3	59	19	14	44	7	1	14.29%	7	0	100.00%	0	195	384	50.78%	196	413	47.46%	120	239	50.21%	40	19	42	18	38	19
3	Chicago Blackhawks	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	1	0	0	27	14	8	5	0	25	14	6	21	2	0	0.00%	3	0	100.00%	0	195	384	50.78%	196	413	47.46%	120	239	50.21%	19	11	23	9	17	8
4	Cleveland Bulldogs	2	0	1	0	0	0	0	1	9	13	-4	1	0	0	0	0	0	0	1	6	7	-1	1	0	1	0	0	0	0	0	3	6	-3	1	0.250	9	16	25	0	0	2	2	5	0	74	18	30	24	5	72	29	6	30	7	0	0.00%	3	1	66.67%	0	195	384	50.78%	196	413	47.46%	120	239	50.21%	39	22	47	19	37	19
5	Colorado Zipper	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	3	0	0	0	30	8	1	21	0	23	6	8	20	2	0	0.00%	4	1	75.00%	0	195	384	50.78%	196	413	47.46%	120	239	50.21%	19	9	18	10	21	11
6	Miami Heat	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	2	3	2	1.000	5	9	14	0	0	0	3	2	0	46	9	28	9	0	29	12	17	15	4	1	25.00%	2	0	100.00%	0	195	384	50.78%	196	413	47.46%	120	239	50.21%	25	15	17	8	17	9
7	Montreal Canadiens	1	0	0	0	1	0	0	0	3	2	1	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	0	2	0	1	37	9	15	11	2	35	11	8	21	3	0	0.00%	4	1	75.00%	0	195	384	50.78%	196	413	47.46%	120	239	50.21%	21	12	23	10	18	8
8	New York Rangers	2	0	2	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	5	7	12	1	0	1	3	1	0	65	28	25	12	0	57	20	18	46	1	0	0.00%	9	1	88.89%	0	195	384	50.78%	196	413	47.46%	120	239	50.21%	43	24	38	19	38	18
9	Regina Pats	2	1	1	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	6	1	5	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	8	11	19	1	0	3	2	3	0	61	25	17	19	0	58	16	12	47	4	0	0.00%	6	0	100.00%	0	195	384	50.78%	196	413	47.46%	120	239	50.21%	42	23	39	18	37	18
	Total	17	6	8	0	2	0	0	1	50	54	-4	9	3	3	0	2	0	0	1	28	25	3	8	3	5	0	0	0	0	0	22	29	-7	17	0.500	50	83	133	2	0	13	19	16	2	547	186	189	165	10	505	175	125	342	46	5	10.87%	56	8	85.71%	0	195	384	50.78%	196	413	47.46%	120	239	50.21%	350	192	364	161	313	156
11	Washington Budweiser	2	1	1	0	0	0	0	0	4	6	-2	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	4	6	10	0	0	0	2	2	0	63	16	21	26	0	66	14	16	38	7	1	14.29%	8	2	75.00%	0	195	384	50.78%	196	413	47.46%	120	239	50.21%	38	21	46	18	34	17
12	Winnipeg Jets	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	1	0	0	0	28	15	8	5	0	19	7	6	18	2	0	0.00%	3	0	100.00%	0	195	384	50.78%	196	413	47.46%	120	239	50.21%	20	11	20	9	18	9
	_Since Last GM Reset	17	6	8	0	2	0	0	1	50	54	-4	9	3	3	0	2	0	0	1	28	25	3	8	3	5	0	0	0	0	0	22	29	-7	17	0.500	50	83	133	2	0	13	19	16	2	547	186	189	165	10	505	175	125	342	46	5	10.87%	56	8	85.71%	0	195	384	50.78%	196	413	47.46%	120	239	50.21%	350	192	364	161	313	156
	_Vs Conference	13	5	6	0	1	0	0	1	38	43	-5	6	2	2	0	1	0	0	1	18	18	0	7	3	4	0	0	0	0	0	20	25	-5	13	0.500	38	65	103	1	0	9	15	13	1	421	137	149	130	8	393	141	99	256	37	5	13.51%	43	7	83.72%	0	195	384	50.78%	196	413	47.46%	120	239	50.21%	265	145	280	123	239	120
	_Vs Division	12	4	6	0	1	0	0	1	35	41	-6	6	2	2	0	1	0	0	1	18	18	0	6	2	4	0	0	0	0	0	17	23	-6	11	0.458	35	60	95	1	0	6	15	13	1	391	129	148	109	8	370	135	91	236	35	5	14.29%	39	6	84.62%	0	195	384	50.78%	196	413	47.46%	120	239	50.21%	245	135	262	112	217	109

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
17	17	OTW1	50	83	133	547	505	175	125	342	2	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
17	6	8	2	0	0	1	50	54

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	3	3	2	0	0	1	28	25

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	3	5	0	0	0	0	22	29

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	3	1	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
46	5	10.87%	56	8	85.71%	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
186	189	165	10	13	19	16	2

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
195	384	50.78%	196	413	47.46%	120	239	50.21%

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
350	192	364	161	313	156

Derniers Match 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	Lien
1 - 2024-04-06	5	Detroit Red Wings	3	Cleveland Bulldogs	6	L			Sommaire du Match
2 - 2024-04-07	24	Boston Bruins	2	Detroit Red Wings	3	W	X		Sommaire du Match
3 - 2024-04-08	35	Detroit Red Wings	2	Regina Pats	4	L			Sommaire du Match
4 - 2024-04-09	50	New York Rangers	4	Detroit Red Wings	2	L			Sommaire du Match
7 - 2024-04-12	76	Detroit Red Wings	5	Miami Heat	2	W			Sommaire du Match
8 - 2024-04-13	87	Chicago Blackhawks	3	Detroit Red Wings	2	L			Sommaire du Match
10 - 2024-04-15	103	Detroit Red Wings	1	Boston Bruins	2	L			Sommaire du Match
11 - 2024-04-16	113	Detroit Red Wings	4	Atlanta Supra	3	W			Sommaire du Match
12 - 2024-04-17	125	Cleveland Bulldogs	7	Detroit Red Wings	6	L	X	X	Sommaire du Match
13 - 2024-04-18	147	Washington Budweiser	1	Detroit Red Wings	3	W			Sommaire du Match
15 - 2024-04-20	165	Detroit Red Wings	1	Washington Budweiser	5	L			Sommaire du Match
16 - 2024-04-21	177	Atlanta Supra	1	Detroit Red Wings	2	W			Sommaire du Match
17 - 2024-04-22	197	Regina Pats	1	Detroit Red Wings	6	W			Sommaire du Match
18 - 2024-04-23	207	Detroit Red Wings	3	New York Rangers	5	L			Sommaire du Match
20 - 2024-04-25	228	Winnipeg Jets	4	Detroit Red Wings	1	L			Sommaire du Match
22 - 2024-04-27	249	Detroit Red Wings	3	Colorado Zipper	2	W			Sommaire du Match
23 - 2024-04-28	262	Montreal Canadiens	2	Detroit Red Wings	3	W	X		Sommaire du Match
24 - 2024-04-29	276	Detroit Red Wings	-	Atlanta Supra	-
26 - 2024-05-01	294	Regina Pats	-	Detroit Red Wings	-
28 - 2024-05-03	309	Detroit Red Wings	-	Dallas Storm	-
29 - 2024-05-04	323	Calgary Red Bull	-	Detroit Red Wings	-
30 - 2024-05-05	335	Detroit Red Wings	-	Ottawa Lumberjacks	-
32 - 2024-05-07	352	Atlanta Supra	-	Detroit Red Wings	-
33 - 2024-05-08	374	Detroit Red Wings	-	Miami Heat	-
34 - 2024-05-09	383	Halifax Thunder	-	Detroit Red Wings	-
36 - 2024-05-11	406	Hamilton Tigers	-	Detroit Red Wings	-
38 - 2024-05-13	422	Detroit Red Wings	-	Toronto Maple Leafs	-
39 - 2024-05-14	437	Moncton Wildcats	-	Detroit Red Wings	-
41 - 2024-05-16	456	Detroit Red Wings	-	Seattle Kraken	-
42 - 2024-05-17	469	Detroit Red Wings	-	Nunavut Mystery	-
43 - 2024-05-18	480	St-Johns Desperados	-	Detroit Red Wings	-
45 - 2024-05-20	502	Detroit Red Wings	-	Quebec Nordiques	-
46 - 2024-05-21	512	Ottawa Lumberjacks	-	Detroit Red Wings	-
48 - 2024-05-23	531	Houston Supernova	-	Detroit Red Wings	-
49 - 2024-05-24	544	Detroit Red Wings	-	Boston Bruins	-
51 - 2024-05-26	563	Boston Bruins	-	Detroit Red Wings	-
53 - 2024-05-28	580	Detroit Red Wings	-	Halifax Thunder	-
54 - 2024-05-29	594	New York Rangers	-	Detroit Red Wings	-
55 - 2024-05-30	608	Detroit Red Wings	-	Houston Supernova	-
56 - 2024-05-31	624	Detroit Red Wings	-	Anaheim Icehawks	-
57 - 2024-06-01	634	St-Louis Blues	-	Detroit Red Wings	-
59 - 2024-06-03	654	Dallas Storm	-	Detroit Red Wings	-
61 - 2024-06-05	668	Detroit Red Wings	-	Washington Budweiser	-
62 - 2024-06-06	686	Quebec Nordiques	-	Detroit Red Wings	-
64 - 2024-06-08	704	Detroit Red Wings	-	Los Angeles Kings	-
65 - 2024-06-09	718	Washington Budweiser	-	Detroit Red Wings	-
66 - 2024-06-10	732	Detroit Red Wings	-	New York Rangers	-
68 - 2024-06-12	746	Detroit Red Wings	-	Montreal Canadiens	-
69 - 2024-06-13	759	Chicago Blackhawks	-	Detroit Red Wings	-
71 - 2024-06-15	780	Toronto Maple Leafs	-	Detroit Red Wings	-
72 - 2024-06-16	796	Detroit Red Wings	-	Regina Pats	-
74 - 2024-06-18	810	London Spartiates	-	Detroit Red Wings	-
76 - 2024-06-20	830	Detroit Red Wings	-	Hamilton Tigers	-
77 - 2024-06-21	839	Detroit Red Wings	-	St-Louis Blues	-
78 - 2024-06-22	851	Seattle Kraken	-	Detroit Red Wings	-
79 - 2024-06-23	868	Detroit Red Wings	-	Winnipeg Jets	-
81 - 2024-06-25	881	Detroit Red Wings	-	Vancouver Knights	-
82 - 2024-06-26	892	San Jose Rhinos	-	Detroit Red Wings	-
83 - 2024-06-27	906	Detroit Red Wings	-	Chicago Blackhawks	-
85 - 2024-06-29	920	Los Angeles Kings	-	Detroit Red Wings	-
87 - 2024-07-01	941	Nunavut Mystery	-	Detroit Red Wings	-
88 - 2024-07-02	952	Detroit Red Wings	-	London Spartiates	-
89 - 2024-07-03	969	Detroit Red Wings	-	Cleveland Bulldogs	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
90 - 2024-07-04	982	Vancouver Knights	-	Detroit Red Wings	-
91 - 2024-07-05	997	Detroit Red Wings	-	Chicago Blackhawks	-
93 - 2024-07-07	1012	Colorado Zipper	-	Detroit Red Wings	-
95 - 2024-07-09	1030	Detroit Red Wings	-	Edmonton Oilers	-
96 - 2024-07-10	1042	Cleveland Bulldogs	-	Detroit Red Wings	-
97 - 2024-07-11	1053	Detroit Red Wings	-	San Jose Rhinos	-
98 - 2024-07-12	1068	Detroit Red Wings	-	Moncton Wildcats	-
99 - 2024-07-13	1083	Edmonton Oilers	-	Detroit Red Wings	-
101 - 2024-07-15	1104	Anaheim Icehawks	-	Detroit Red Wings	-
105 - 2024-07-19	1131	Miami Heat	-	Detroit Red Wings	-
108 - 2024-07-22	1153	Miami Heat	-	Detroit Red Wings	-
109 - 2024-07-23	1161	Detroit Red Wings	-	Calgary Red Bull	-
110 - 2024-07-24	1172	Detroit Red Wings	-	St-Johns Desperados	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	7000	6000	3000	5000	2000
Prix des Billets	130	90	50	30	210
Assistance	42,569	34,437	19,890	41,077	12,843
Attendance PCT	67.57%	63.77%	73.67%	91.28%	71.35%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
29	16757 - 72.86%	1,807,619$	16,268,568$	23000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
11,998,209$	53,250,000$	53,250,000$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
53,250,000$	10,971,420$	0$	20	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
52,420,941$	89	520,089$	46,287,921$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
48,466,281$	53,250,000$	109,156,877$	116,344,517$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Nicklas Backstrom	AGE:35	PO:0	OV:69
Philip Tomasino	AGE:22	PO:0	OV:67
Alex Chiasson	AGE:32	PO:0	OV:64
*Pavel Dorofeyev	AGE:22	PO:0	OV:64
*Fabian Zetterlund	AGE:24	PO:0	OV:63
*Liam Foudy	AGE:23	PO:0	OV:61
Zach Sanford	AGE:28	PO:0	OV:59
*Michael Carcone	AGE:27	PO:0	OV:57
*Joona Koppanen	AGE:25	PO:0	OV:57
*Isaac Ratcliffe	AGE:24	PO:0	OV:54
T.J. Tynan	AGE:31	PO:0	OV:52

Martin Necas	AGE:24	PO:0	OV:78
Jack McBain	AGE:23	PO:0	OV:70
Ryan McLeod	AGE:24	PO:0	OV:68
Kent Johnson	AGE:20	PO:0	OV:68
Jesper Boqvist	AGE:24	PO:0	OV:63
*Alex Steeves	AGE:23	PO:0	OV:53
*Drake Rymsha	AGE:25	PO:0	OV:53
*Oskar Steen	AGE:25	PO:0	OV:53

Dominik Kubalik	AGE:28	PO:0	OV:69
Taylor Raddysh	AGE:25	PO:0	OV:68
Arthur Kaliyev	AGE:22	PO:0	OV:66
Kiefer Sherwood	AGE:28	PO:0	OV:65
Emil Bemstrom	AGE:24	PO:0	OV:62
*Joe Snively	AGE:27	PO:0	OV:57
Bryan Little	AGE:36	PO:0	OV:54
*Jonathan Davidsson	AGE:26	PO:0	OV:53
*Ben McCartney	AGE:22	PO:0	OV:52
*Jacob Perreault	AGE:21	PO:0	OV:52

Défense #1

Défense #2

Gardien

Dougie Hamilton	AGE:30	PO:0	OV:83
Andrew Peeke	AGE:25	PO:0	OV:74
John Marino	AGE:26	PO:0	OV:72
Joel Edmundson	AGE:30	PO:0	OV:72
Zach Werenski	AGE:26	PO:0	OV:71
Ethan Bear	AGE:26	PO:0	OV:69
Erik Brannstrom	AGE:24	PO:0	OV:68
*Nils Lundkvist	AGE:23	PO:0	OV:63

*Kaedan Korczak	AGE:22	PO:0	OV:62
Nikolai Knyzhov	AGE:25	PO:0	OV:61
*Akito Hirose	AGE:24	PO:0	OV:61
*Kale Clague	AGE:25	PO:0	OV:60
Dylan Coghlan	AGE:25	PO:0	OV:59
*Lucas Carlsson	AGE:26	PO:0	OV:56
*Otto Leskinen	AGE:26	PO:0	OV:56
*Linus Hogberg	AGE:25	PO:0	OV:56

Ilya Samsonov	AGE:26	PO:0	OV:78
Pheonix Copley	AGE:31	PO:0	OV:75
Artyom Zagidulin	AGE:28	PO:0	OV:58

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total
Adam Tambellini	Detroit Red Wings	28	48
Alexei Lipanov	Detroit Red Wings	36	53
Arvid Holm	Detroit Red Wings	36	89
Beck Warm	Detroit Red Wings	42	107
Ben Blood	Detroit Red Wings
Benjamin Gaudreau	Detroit Red Wings	43	33
Bobby Nardella	Detroit Red Wings	43	123
Brad Gardiner	Detroit Red Wings	47	59
Brady Cleveland	Detroit Red Wings	47	46
Carson Focht	Detroit Red Wings	39	43
Carter Berger	Detroit Red Wings	40	85
Cliff Pu	Detroit Red Wings	34	18
Daniel Kurovsky	Detroit Red Wings
David Bernhardt	Detroit Red Wings	34	66
Demetrios Koumontzis	Detroit Red Wings	37	95
Eero Elo	Detroit Red Wings
Filip Berglund	Detroit Red Wings	34	37
Gavin White	Detroit Red Wings	45	74
Jake Furlong	Detroit Red Wings	46	81
Jakub Brabenec	Detroit Red Wings	44	52
James Malatesta	Detroit Red Wings	43	55
Jeremie Poirier	Detroit Red Wings	42	18
Joel Lowry	Detroit Red Wings
Jordan Samuels-Thomas	Detroit Red Wings
Justin Robidas	Detroit Red Wings	43	60
Kent Patterson	Detroit Red Wings
Kiril Koltsov	Detroit Red Wings
Kirill Kabanov	Detroit Red Wings
Liam Dower Nilsson	Detroit Red Wings	44	47
Liam Ohgren	Detroit Red Wings	45	12
Marcus Kallionkieli	Detroit Red Wings	39	103
Mats Lindgren	Detroit Red Wings	46	50
Matthew Seminoff	Detroit Red Wings	45	43
Maxim Barbashev	Detroit Red Wings	45	101
Mike Koster	Detroit Red Wings	42	78
Mikhail Berdin	Detroit Red Wings	34	91
Miko Matikka	Detroit Red Wings	45	52
Nando Eggenberger	Detroit Red Wings	37	104
Nathan Moon	Detroit Red Wings
Nicolas Guay	Detroit Red Wings	35	113
Oskari Laaksonen	Detroit Red Wings	35	50
Peter Diliberatore	Detroit Red Wings	37	105
Philippe Desrosiers	Detroit Red Wings	28	47
Reid Schaefer	Detroit Red Wings	46	19
Roman Tomanek	Detroit Red Wings
Ryan Healey	Detroit Red Wings	45	70
Ryan Hofer	Detroit Red Wings	45	56
Ryder Korczak	Detroit Red Wings	43	28
Samu Salminen	Detroit Red Wings	44	36
Samu Tuomaala	Detroit Red Wings	44	22
Sergei Boikov	Detroit Red Wings	32	101
Theodor Niederbach	Detroit Red Wings	41	18
Trevor Janicke	Detroit Red Wings	40	52
Tristan Lennox	Detroit Red Wings	43	40
Ty Voit	Detroit Red Wings	43	36
Tyler Biggs	Detroit Red Wings	23	18
Viktor Neuchev	Detroit Red Wings	46	62
Vilmer Alriksson	Detroit Red Wings	47	77
Vladimir Grudinin	Detroit Red Wings	46	68
Vladislav Firstov	Detroit Red Wings	40	34
Vsevolod Komarov	Detroit Red Wings	46	59
William Stromgren	Detroit Red Wings	43	27

Choix au Repêchage

Année	R1	R2	R3	R4
48	DET	DET	DET	CHI
49	DET LON		DET
50	DET	DET ATL	DET	DET
51	DET	DET LON	DET	DET
52	DET	DET LON	DET	DET

[2024-04-08 08:56:04] - TRADE : From Detroit Red Wings to London Spartiates : Joel Armia (66).
[2024-04-08 08:56:04] - TRADE : From London Spartiates to Detroit Red Wings : Y:52-RND:2-LON.
[2024-04-06 10:11:05] - General Manager Change : Detroit Red Wings hired general manager Dominic Dion
[2024-04-06 10:11:05] - General Manager Change : Detroit Red Wings fired general manager Yves Jobidon
[2024-03-23 15:03:13] - Detroit Red Wings drafts Vilmer Alriksson as the #77 overall pick in the Entry Draft of year 47.
[2024-03-23 14:31:13] - Detroit Red Wings drafts Brad Gardiner as the #59 overall pick in the Entry Draft of year 47.
[2024-03-23 14:18:01] - Detroit Red Wings drafts Brady Cleveland as the #46 overall pick in the Entry Draft of year 47.
[2024-03-02 12:24:00] - Chris Wagner was released.
[2024-03-02 12:24:00] - Detroit Red Wings paid $0 to release Chris Wagner.
[2024-02-10 20:57:15] - Scorpions was eliminated at round 1 of year 46.
[2024-02-03 09:51:12] - Detroit Red Wings didn't make playoff for year 46.

[2024-04-30 22:17:23] Game 245 - Akito Hirose from Scorpions is injured (Torso) and is out for 2 weeks.
[2024-04-30 22:17:16] Auto Lines Function has been run for Detroit Red Wings.
[2024-04-30 22:17:16] Auto Roster Partial Function has been run for Detroit Red Wings.
[2024-04-29 21:17:05] Joe Snively from Scorpions is back from Separated Right Shoulder Injury.
[2024-04-29 21:04:22] Auto Lines Function has been run for Detroit Red Wings.
[2024-04-29 21:04:22] Auto Roster Partial Function has been run for Detroit Red Wings.
[2024-04-28 22:24:31] Jesper Boqvist from Scorpions is back from Exhaustion.
[2024-04-28 00:16:41] Andrew Peeke from Detroit Red Wings is back from Left Hip Injury.
[2024-04-28 00:16:37] Game 228 - Andrew Peeke from Detroit Red Wings is injured (Left Hip) and is out for 3 days.
[2024-04-28 00:16:32] Jesper Boqvist from Scorpions is injured from Exhaustion.
[2024-04-26 21:34:44] Successfully loaded Detroit Red Wings lines done with STHS Client - 3.4.1.1
[2024-04-26 21:34:44] Nils Lundkvist of Detroit Red Wings was sent down to farm.
[2024-04-26 21:34:44] Pavel Dorofeyev of Detroit Red Wings was sent down to farm.
[2024-04-25 22:40:28] Game 188 - Joe Snively from Scorpions is injured (Separated Right Shoulder) and is out for 6 days.
[2024-04-24 22:56:57] Martin Necas from Detroit Red Wings is back from Exhaustion.
[2024-04-24 22:56:57] Dougie Hamilton from Detroit Red Wings is back from Exhaustion.
[2024-04-24 22:42:35] Successfully loaded Detroit Red Wings lines done with STHS Client - 3.4.1.1
[2024-04-24 22:42:35] Nils Lundkvist of Detroit Red Wings was sent to pro.
[2024-04-24 22:42:35] Pavel Dorofeyev of Detroit Red Wings was sent to pro.
[2024-04-23 20:47:38] Martin Necas from Detroit Red Wings is injured from Exhaustion.
[2024-04-23 20:47:38] Dougie Hamilton from Detroit Red Wings is injured from Exhaustion.
[2024-04-23 20:47:25] Auto Lines Function has been run for Detroit Red Wings.
[2024-04-23 20:47:25] Auto Roster Partial Function has been run for Detroit Red Wings.
[2024-04-23 00:14:58] Philip Tomasino from Detroit Red Wings is back from Lacerated Left Calf Injury.
[2024-04-23 00:14:58] Emil Bemstrom from Scorpions is back from Exhaustion.
[2024-04-23 00:14:58] Pavel Dorofeyev of Detroit Red Wings was sent to farm.
[2024-04-23 00:12:56] Auto Lines Function has been run for Detroit Red Wings.
[2024-04-23 00:12:56] Auto Roster Partial Function has been run for Detroit Red Wings.
[2024-04-23 00:12:56] Pavel Dorofeyev of Detroit Red Wings was sent to pro.

Pas de Blessure ou de Suspension.

Afficher ou Masquer des Colonnes

	Ligue											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
45	82	33	30	0	8	3	4	4	293	282	11	41	16	13	0	6	2	2	2	151	142	9	41	17	17	0	2	1	2	2	142	140	2	97	293	456	749	2	0	61	109	111	19	2528	712	915	863	73	2636	861	724	1652	251	53	21.12%	299	54	81.94%	16	913	1852	49.30%	939	1894	49.58%	673	1274	52.83%	1632	860	1807	789	1536	761
46	82	38	29	0	5	3	2	5	263	251	12	41	21	14	0	1	1	2	2	137	118	19	41	17	15	0	4	2	0	3	126	133	-7	98	263	421	684	1	2	51	100	105	17	2593	759	941	859	65	2650	897	597	1591	270	65	24.07%	281	50	82.21%	9	888	1853	47.92%	981	2081	47.14%	592	1207	49.05%	1648	884	1793	786	1530	759
47	17	6	8	0	2	0	0	1	50	54	-4	9	3	3	0	2	0	0	1	28	25	3	8	3	5	0	0	0	0	0	22	29	-7	17	50	83	133	2	0	13	19	16	2	547	186	189	165	10	505	175	125	342	46	5	10.87%	56	8	85.71%	0	195	384	50.78%	196	413	47.46%	120	239	50.21%	350	192	364	161	313	156
Total Saison Régulière	181	77	67	0	15	6	6	10	606	587	19	91	40	30	0	9	3	4	5	316	285	31	90	37	37	0	6	3	2	5	290	302	-12	212	606	960	1566	5	2	125	228	232	38	5668	1657	2045	1887	148	5791	1933	1446	3585	567	123	21.69%	636	112	82.39%	25	1996	4089	48.81%	2116	4388	48.22%	1385	2720	50.92%	3631	1936	3965	1737	3379	1677
Séries
45	5	1	4	0	0	0	0	0	12	20	-8	3	0	3	0	0	0	0	0	7	12	-5	2	1	1	0	0	0	0	0	5	8	-3	2	12	22	34	0	0	1	7	3	1	136	36	58	41	1	153	39	41	86	17	2	11.76%	18	4	77.78%	0	47	112	41.96%	60	114	52.63%	36	85	42.35%	96	52	113	48	90	44
Total Séries	5	1	4	0	0	0	0	0	12	20	-8	3	0	3	0	0	0	0	0	7	12	-5	2	1	1	0	0	0	0	0	5	8	-3	2	12	22	34	0	0	1	7	3	1	136	36	58	41	1	153	39	41	86	17	2	11.76%	18	4	77.78%	0	47	112	41.96%	60	114	52.63%	36	85	42.35%	96	52	113	48	90	44

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