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	Wild
	GP: 9 \| W: 8 \| L: 1 GF: 33 \| GA: 23 \| PP%: 18.75% \| PK%: 92.86% DG: Kyle Smith \| Morale : 50 \| Moyenne d'�quipe : 67

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Wild
Formation
Points
Informations Joueurs
Lignes
Statistiques d'�quipe
Calendrier
Finance
Client Web pour Lignes


	Wild 8-1-0, 16pts	2	FINAL	3	Thunderbirds 5-5-0, 10pts

Team Stats
W1	Streak	L1
5-0-0	Home Record	3-2-0
3-1-0	Away Record	2-3-0
8-0-1	Last 10 Games	5-4-1
3.67		2.80
2.56		2.50
18.75%		15.38%
92.86%		84.62%

Thunderbirds
5-5-0, 10pts

FINAL

Wild
8-1-0, 16pts

Team Stats
L1	Streak	W1
3-2-0	Home Record	5-0-0
2-3-0	Away Record	3-1-0
5-4-1	Last 10 Games	8-0-1
2.80		3.67
2.50		2.56
15.38%		18.75%
84.62%		92.86%


	Buts Kieffer Bellows 7			Passes Jack Quinn 11

	Points Jack Quinn 15			Plus/Moins Graeme Clarke 9

	Victoires Mads Sogaard 8			Pourcentage d'Arr�ts Mads Sogaard 0.934

Statistiques d'�quipe
33 3.67 GFG	Tirs Pour 300 33.33 Avg	18.8% 3 GF	36.3%
Buts Contre 23 2.56 GAA	Tirs Contre 351 39.00 Avg	92.9% 1 GA	38.8%


	Directeur g�n�ral	Kyle Smith
		Central Division
		Western Conference




	Capacit� de l'Ar�na	5,000
	Assistance	5,000
		5,000

		25
		20
		45 / 55
	�spoirs	20

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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	�ge	Contrat	Salaire Moyen
1	Jack Quinn (R)	0		X	X		100.00	69	51	97	76	84	60	89	66	41	73	73	68	70	70	70	0	50	78	0	21	2	925,000$
2	Peyton Krebs (R)	0	X	X			100.00	71	53	92	74	82	61	88	61	57	71	70	65	66	66	66	0	50	76	0	22	2	925,000$
3	Jack Drury (R)	0	X				100.00	68	53	95	71	85	47	55	62	53	68	70	55	66	66	66	0	50	73	0	23	2	925,000$
4	Kieffer Bellows (R)	0		X	X		100.00	80	52	96	71	81	45	55	57	41	67	70	55	64	64	64	0	50	72	0	25	3	750,000$
5	Tyler Benson (R)	0		X	X		100.00	55	39	80	59	63	58	45	47	36	65	64	50	56	25	40	0	50	64	0	25	2	770,750$
6	Graeme Clarke (R)	0	X		X		100.00	52	56	83	57	56	61	71	45	65	61	65	49	55	25	40	0	50	62	0	22	2	925,000$
7	Justin Richards (R)	0	X		X		100.00	53	64	82	54	54	79	91	40	65	59	64	40	52	25	40	0	50	61	0	25	1	877,750$
8	Bobby Brink (R)	0			X		100.00	52	51	83	55	57	58	55	43	36	60	64	42	54	25	40	0	50	60	0	21	2	925,000$
9	Felix Robert (R)	0	X				100.00	52	58	83	55	55	65	75	43	65	58	65	44	54	25	40	0	50	60	0	23	3	854,058$
10	Chaz Lucius (R)	0	X				100.00	53	36	83	53	64	58	45	40	65	58	64	39	52	25	40	0	50	59	0	20	3	925,000$
11	Justin Sourdif (R)	0	X				100.00	53	54	82	54	55	58	65	41	65	59	64	41	52	25	40	0	50	59	0	21	2	847,500$
12	Donald Busdeker (R)	0			X		100.00	53	61	82	52	53	73	84	38	36	57	63	38	51	25	40	0	50	59	0	23	2	925,000$
13	Braden Schneider (R)	0				X	100.00	74	51	97	69	79	58	98	62	40	69	68	82	65	65	65	0	50	79	0	21	2	925,000$
14	Nick Perbix (R)	0				X	100.00	71	52	95	72	80	57	83	65	40	70	69	81	67	67	67	0	50	79	0	25	1	900,000$
15	Matthew Kessel (R)	0				X	100.00	60	38	71	62	60	58	45	53	36	71	64	59	58	25	40	0	50	68	0	23	2	925,000$
16	Alexander Peters (R)	0				X	100.00	61	38	71	58	60	58	45	45	36	62	65	58	55	25	40	0	50	65	0	26	1	750,000$
17	Jack Thompson (R)	0				X	100.00	52	66	84	53	53	83	97	39	36	58	64	40	51	25	40	0	50	61	0	21	2	828,333$
18	Sean Day	0				X	100.00	53	65	83	53	53	81	94	39	36	58	63	40	51	25	40	0	50	61	0	25	2	770,750$
Ray�
1	Clark Bishop	0	X	X			100.00	55	48	79	54	55	58	47	41	65	58	64	45	53	25	40	0	50	59	0	27	2	888,000$
2	Ben McCartney (R)	0		X			100.00	54	59	80	53	54	67	77	40	36	57	64	37	52	25	40	0	50	59	0	21	2	813,333$
3	Luke Henman (R)	0	X				100.00	53	55	82	52	53	59	68	38	65	57	64	41	51	25	40	0	50	58	0	23	2	925,000$
4	Kyle Olson (R)	0			X		100.00	54	58	81	51	52	65	75	36	36	56	63	34	50	25	40	0	50	57	0	24	1	925,000$

	MOYENNE D'�QUIPE						100.00	59	53	85	59	63	62	70	47	48	62	66	50	57	36	47	0	50	65

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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	�ge	Contrat	Salaire Moyen
1	Mads Sogaard (R)	100.00	81	65	53	74	80	78	76	79	84	77	82	26	52	0	50	80	0	22	2	925,000$
2	Arturs Silovs (R)	100.00	76	65	53	70	83	72	73	80	77	52	79	25	51	0	50	77	0	22	2	925,000$
Ray�
1	Oskari Salminen (R)	100.00	73	70	78	78	76	74	76	76	76	73	76	25	55	0	50	78	0	23	1	855,000$

	MOYENNE D'�QUIPE	100.00	77	67	61	74	80	75	75	78	79	67	79	25	53	0	50	78

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	�ge	Contrat	Salaire

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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'�quipe	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	EG	P/20	FT	S1	S2	S3
1	Jack Quinn	Wild (MIN)	LW/RW	9	4	11	15	5	0	0	11	17	41	8	25	9.76%	9	202	22.51	0	1	1	3	13	0	0	2	0	22.51	12	24	10	0	1.48	0	0	1	1
2	Kieffer Bellows	Wild (MIN)	LW/RW	9	7	6	13	8	0	0	21	12	30	16	23	23.33%	7	190	21.20	0	1	1	2	11	1	18	1	0	21.20	12	22	6	1	1.36	0	4	1	0
3	Jack Drury	Wild (MIN)	C	9	5	5	10	3	2	0	9	7	24	10	10	20.83%	4	189	21.08	0	1	1	1	14	0	17	1	1	21.08	172	18	5	0	1.05	0	1	0	1
4	Nick Perbix	Wild (MIN)	D	9	3	6	9	-2	2	0	18	34	37	18	18	8.11%	15	205	22.81	1	1	2	13	15	0	10	0	0	0.00%	0	13	7	0	0.88	0	0	2	1
5	Peyton Krebs	Wild (MIN)	C/LW	9	5	4	9	3	4	0	12	14	29	9	19	17.24%	5	182	20.28	1	0	1	5	14	0	1	1	0	20.28	9	27	5	0	0.99	0	1	1	0
6	Graeme Clarke	Wild (MIN)	C/RW	9	2	3	5	9	2	0	8	7	14	9	14	14.29%	3	173	19.29	1	0	1	1	12	0	0	0	0	19.29	20	11	5	0	0.58	0	0	0	0
7	Braden Schneider	Wild (MIN)	D	9	1	3	4	-1	0	0	19	33	42	9	12	2.38%	30	233	25.96	0	0	0	12	11	1	19	1	0	0.00%	0	10	18	0	0.34	0	0	0	1
8	Matthew Kessel	Wild (MIN)	D	9	1	3	4	3	6	0	10	17	13	10	7	7.69%	11	208	23.11	0	1	1	1	14	0	12	1	0	0.00%	0	8	7	0	0.38	0	0	1	0
9	Tyler Benson	Wild (MIN)	LW/RW	9	2	2	4	-4	4	0	10	18	25	14	11	8.00%	3	176	19.62	0	0	0	0	0	0	1	0	0	19.62	7	10	4	0	0.45	0	0	1	0
10	Felix Robert	Wild (MIN)	C	9	0	3	3	9	5	5	4	14	8	2	5	0.00%	2	173	19.23	0	0	0	0	1	1	5	0	0	19.23	91	6	1	0	0.35	1	0	0	0
11	Alexander Peters	Wild (MIN)	D	9	1	1	2	3	2	0	16	12	11	1	4	9.09%	14	181	20.21	0	0	0	0	11	0	9	0	0	0.00%	0	4	4	0	0.22	0	0	0	0
12	Chaz Lucius	Wild (MIN)	C	9	0	2	2	-2	2	0	9	10	4	1	6	0.00%	1	151	16.86	0	0	0	0	0	0	4	0	0	16.86	123	1	1	0	0.26	0	0	0	0
13	Jack Thompson	Wild (MIN)	D	9	1	1	2	6	0	0	2	5	7	6	1	14.29%	2	162	18.01	0	0	0	0	0	0	0	0	0	0.00%	0	4	7	0	0.25	0	0	0	0
14	Sean Day	Wild (MIN)	D	9	0	2	2	5	2	0	3	9	2	1	0	0.00%	13	158	17.56	0	0	0	0	0	0	0	0	0	0.00%	0	4	7	0	0.25	0	0	0	0
15	Bobby Brink	Wild (MIN)	RW	9	1	0	1	-3	27	5	7	8	12	5	8	8.33%	1	154	17.16	0	0	0	1	11	0	4	1	0	17.16	5	6	1	0	0.13	1	0	0	1
16	Justin Richards	Wild (MIN)	C/RW	9	0	1	1	-2	0	0	3	6	1	0	3	0.00%	0	67	7.46	0	0	0	0	0	0	0	0	0	7.46	35	0	1	0	0.30	0	0	0	0
17	Justin Sourdif	Wild (MIN)	C	9	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	3	0.34	0	0	0	0	0	0	0	0	0	0.00%	1	0	0	0	0.00%	0	0	0	0
18	Donald Busdeker	Wild (MIN)	RW	9	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	2	0.28	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00%	0	0	0	0
Stats d'�quipe Total ou en Moyenne				162	33	53	86	40	58	10	162	223	300	119	166	11.00%	120	2816	17.39	3	5	8	39	133	3	103	8	1	48.46%	487	168	89	1	0.61	2	6	7	5

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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'�quipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Mads Sogaard	Wild (MIN)	9	8	0	1	0.934	2.43	568	0	0	23	351	207	1	0	0.00%	0	9	0	2	0	2
Stats d'�quipe Total ou en Moyenne			9	8	0	1	0.934	2.43	568	0	0	23	351	207	1	0	0.000	0	9	0	2	0	2

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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'�quipe	POS	�ge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-�change	Disponible pour �change	Ballotage Forc�	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Ann�e 2	Salaire Ann�e 3	Link
Alexander Peters	Wild (MIN)	D	26	1996-07-02	Yes	201 Lbs	6 ft4	No	No	No	1	Pro & Farm	750,000$	26,786$	750,000$	26,786$	0$	0$	No			Lien / Lien NHL
Arturs Silovs	Wild (MIN)	G	22	2001-03-22	Yes	217 Lbs	6 ft3	No	No	No	2	Farm Only	925,000$	33,036$	925,000$	33,036$	0$	0$	No	925,000$		Lien / Lien NHL
Ben McCartney	Wild (MIN)	LW	21	2001-07-13	Yes	182 Lbs	6 ft0	No	No	No	2	Pro & Farm	813,333$	29,048$	813,333$	29,048$	0$	0$	No	813,333$		Lien / Lien NHL
Bobby Brink	Wild (MIN)	RW	21	2001-07-08	Yes	165 Lbs	5 ft8	No	No	No	2	Pro & Farm	925,000$	33,036$	925,000$	33,036$	0$	0$	No	925,000$		Lien / Lien NHL
Braden Schneider	Wild (MIN)	D	21	2001-09-20	Yes	202 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	33,036$	925,000$	33,036$	0$	0$	No	925,000$		Lien / Lien NHL
Chaz Lucius	Wild (MIN)	C	20	2003-05-02	Yes	185 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	33,036$	925,000$	33,036$	0$	0$	No	925,000$	925,000$	Lien / Lien NHL
Clark Bishop	Wild (MIN)	C/LW	27	1996-03-29	No	197 Lbs	6 ft1	No	No	No	2	Pro & Farm	888,000$	31,714$	888,000$	31,714$	0$	0$	No	888,000$		Lien / Lien NHL
Donald Busdeker	Wild (MIN)	RW	23	1999-09-25	Yes	180 Lbs	5 ft10	No	No	No	2	Pro & Farm	925,000$	33,036$	925,000$	33,036$	0$	0$	No	925,000$		Lien / Lien NHL
Felix Robert	Wild (MIN)	C	23	1999-07-24	Yes	170 Lbs	5 ft8	No	No	No	3	Pro & Farm	854,058$	30,502$	854,058$	30,502$	0$	0$	No	854,058$	854,058$	Lien / Lien NHL
Graeme Clarke	Wild (MIN)	C/RW	22	2001-04-24	Yes	175 Lbs	6 ft0	No	No	No	2	Farm Only	925,000$	33,036$	925,000$	33,036$	0$	0$	No	925,000$		Lien / Lien NHL
Jack Drury	Wild (MIN)	C	23	2000-02-03	Yes	174 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	33,036$	925,000$	33,036$	0$	0$	No	925,000$		Lien / Lien NHL
Jack Quinn	Wild (MIN)	LW/RW	21	2001-09-19	Yes	185 Lbs	6 ft0	No	No	No	2	Farm Only	925,000$	33,036$	925,000$	33,036$	0$	0$	No	925,000$		Lien / Lien NHL
Jack Thompson	Wild (MIN)	D	21	2002-03-19	Yes	183 Lbs	6 ft0	No	No	No	2	Pro & Farm	828,333$	29,583$	828,333$	29,583$	0$	0$	No	828,333$		Lien / Lien NHL
Justin Richards	Wild (MIN)	C/RW	25	1998-03-17	Yes	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	877,750$	31,348$	877,750$	31,348$	0$	0$	No			Lien / Lien NHL
Justin Sourdif	Wild (MIN)	C	21	2002-03-24	Yes	175 Lbs	5 ft11	No	No	No	2	Pro & Farm	847,500$	30,268$	847,500$	30,268$	0$	0$	No	847,500$		Lien / Lien NHL
Kieffer Bellows	Wild (MIN)	LW/RW	25	1998-06-10	Yes	195 Lbs	6 ft1	No	No	No	3	Pro & Farm	750,000$	26,786$	750,000$	26,786$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Kyle Olson	Wild (MIN)	RW	24	1999-03-22	Yes	172 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	33,036$	925,000$	33,036$	0$	0$	No			Lien / Lien NHL
Luke Henman	Wild (MIN)	C	23	2000-04-29	Yes	152 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	33,036$	925,000$	33,036$	0$	0$	No	925,000$		Lien / Lien NHL
Mads Sogaard	Wild (MIN)	G	22	2000-12-13	Yes	199 Lbs	6 ft7	No	No	No	2	Farm Only	925,000$	33,036$	925,000$	33,036$	0$	0$	No	925,000$		Lien / Lien NHL
Matthew Kessel	Wild (MIN)	D	23	2000-06-23	Yes	205 Lbs	6 ft2	No	No	No	2	Farm Only	925,000$	33,036$	925,000$	33,036$	0$	0$	No	925,000$		Lien / Lien NHL
Nick Perbix	Wild (MIN)	D	25	1998-06-15	Yes	201 Lbs	6 ft4	No	No	No	1	Pro & Farm	900,000$	32,143$	900,000$	32,143$	0$	0$	No			Lien / Lien NHL
Oskari Salminen	Wild (MIN)	G	23	1999-09-22	Yes	201 Lbs	6 ft4	No	No	No	1	Pro & Farm	855,000$	30,536$	855,000$	30,536$	0$	0$	No			Lien / Lien NHL
Peyton Krebs	Wild (MIN)	C/LW	22	2001-01-26	Yes	185 Lbs	6 ft0	No	No	No	2	Farm Only	925,000$	33,036$	925,000$	33,036$	0$	0$	No	925,000$		Lien / Lien NHL
Sean Day	Wild (MIN)	D	25	1998-01-09	No	218 Lbs	6 ft3	No	No	No	2	Pro & Farm	770,750$	27,527$	770,750$	27,527$	0$	0$	No	770,750$		Lien / Lien NHL
Tyler Benson	Wild (MIN)	LW/RW	25	1998-03-15	Yes	190 Lbs	6 ft0	No	No	No	2	Pro & Farm	770,750$	27,527$	770,750$	27,527$	0$	0$	No	770,750$		Lien / Lien NHL

Joueurs Total	�ge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Ann�e
25	22.96	188 Lbs	6 ft1	1.92	877,219$

Attaque � 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Peyton Krebs	Jack Drury	Jack Quinn	40	0	1	4
2	Kieffer Bellows	Felix Robert	Graeme Clarke	30	0	2	3
3	Tyler Benson	Chaz Lucius	Bobby Brink	20	0	3	2
4	Jack Quinn	Justin Richards	Tyler Benson	10	0	3	2

D�fense � 5 contre 5
Ligne #	D�fense	D�fense	% Temps	PHY	DF	OF
1	Nick Perbix	Braden Schneider	40	0	2	3
2	Alexander Peters	Matthew Kessel	30	0	2	3
3	Sean Day	Jack Thompson	20	0	3	2
4	Matthew Kessel	Braden Schneider	10	0	2	3

Attaque en Avantage Num�rique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Peyton Krebs	Jack Drury	Jack Quinn	60	0	0	5
2	Kieffer Bellows	Graeme Clarke	Bobby Brink	40	0	1	4

D�fense en Avantage Num�rique
Ligne #	D�fense	D�fense	% Temps	PHY	DF	OF
1	Nick Perbix	Matthew Kessel	60	0	1	4
2	Braden Schneider	Alexander Peters	40	0	2	3

Attaque � 4 en D�savantage Num�rique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jack Drury	Kieffer Bellows	60	1	2	2
2	Felix Robert	Bobby Brink	40	1	2	2

D�fense � 4 en D�savantage Num�rique
Ligne #	D�fense	D�fense	% Temps	PHY	DF	OF
1	Matthew Kessel	Braden Schneider	60	1	2	2
2	Alexander Peters	Nick Perbix	40	1	2	2

3 joueurs en D�savantage Num�rique
Ligne #	Ailier	% Temps	PHY	DF	OF	D�fense	D�fense	% Temps	PHY	DF	OF
1	Graeme Clarke	60	0	4	1	Alexander Peters	Braden Schneider	60	0	4	1
2	Felix Robert	40	0	4	1	Matthew Kessel	Nick Perbix	40	0	4	1

Attaque � 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jack Drury	Peyton Krebs	60	0	2	3
2	Graeme Clarke	Jack Quinn	40	0	2	3

D�fense � 4 contre 4
Ligne #	D�fense	D�fense	% Temps	PHY	DF	OF
1	Matthew Kessel	Braden Schneider	60	0	3	2
2	Jack Thompson	Nick Perbix	40	0	3	2

Attaque Derni�re Minute
Ailier Gauche	Centre	Ailier Droit	D�fense	D�fense
Jack Quinn	Jack Drury	Bobby Brink	Matthew Kessel	Braden Schneider

D�fense Derni�re Minute
Ailier Gauche	Centre	Ailier Droit	D�fense	D�fense
Jack Quinn	Felix Robert	Peyton Krebs	Nick Perbix	Braden Schneider

Attaquants Suppl�mentaires
Normal	Avantage Num�rique	D�savantage Num�rique
Jack Quinn, Felix Robert, Bobby Brink	Felix Robert, Chaz Lucius	Chaz Lucius

D�fenseurs Suppl�mentaires
Normal	Avantage Num�rique	D�savantage Num�rique
Braden Schneider, Nick Perbix, Alexander Peters	Nick Perbix	Nick Perbix, Braden Schneider

Tirs de P�nalit�
Jack Quinn, Peyton Krebs, Jack Drury, Bobby Brink, Felix Robert

Gardien
#1 : Mads Sogaard, #2 : Arturs Silovs

Lignes d'Attaque Perso. en Prol.
Jack Drury, Bobby Brink, Felix Robert, Chaz Lucius, Peyton Krebs, Graeme Clarke, Graeme Clarke, Jack Quinn, Kieffer Bellows, Justin Richards, Tyler Benson

Lignes de D�fense Perso. en Prol.
Braden Schneider, Alexander Peters, Jack Thompson, Sean Day, Nick Perbix

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 �quipe	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	Silver Knights	4	4	0	0	0	0	0	0	16	11	5	2	2	0	0	0	0	0	0	7	4	3	2	2	0	0	0	0	0	0	9	7	2	8	1.000	16	27	43	0	0	15	7	8	3	134	106	92	93	9	146	54	37	62	6	2	33.33%	6	0	100.00%	0	90	177	50.85%	83	189	43.92%	63	121	52.07%	198	121	215	77	154	78
2	Thunderbirds	5	4	1	0	0	0	0	0	17	12	5	3	3	0	0	0	0	0	0	12	8	4	2	1	1	0	0	0	0	0	5	4	1	8	0.800	17	26	43	0	0	15	7	8	3	166	106	92	93	9	205	66	21	100	10	1	10.00%	8	1	87.50%	0	90	177	50.85%	83	189	43.92%	63	121	52.07%	198	121	215	77	154	78
	Total	9	8	1	0	0	0	0	0	33	23	10	5	5	0	0	0	0	0	0	19	12	7	4	3	1	0	0	0	0	0	14	11	3	16	0.889	33	53	86	0	0	15	7	8	3	300	106	92	93	9	351	120	58	162	16	3	18.75%	14	1	92.86%	0	90	177	50.85%	83	189	43.92%	63	121	52.07%	198	121	215	77	154	78
	_Since Last GM Reset	9	8	1	0	0	0	0	0	33	23	10	5	5	0	0	0	0	0	0	19	12	7	4	3	1	0	0	0	0	0	14	11	3	16	0.889	33	53	86	0	0	15	7	8	3	300	106	92	93	9	351	120	58	162	16	3	18.75%	14	1	92.86%	0	90	177	50.85%	83	189	43.92%	63	121	52.07%	198	121	215	77	154	78
	_Vs Conference	9	8	1	0	0	0	0	0	33	23	10	5	5	0	0	0	0	0	0	19	12	7	4	3	1	0	0	0	0	0	14	11	3	16	0.889	33	53	86	0	0	15	7	8	3	300	106	92	93	9	351	120	58	162	16	3	18.75%	14	1	92.86%	0	90	177	50.85%	83	189	43.92%	63	121	52.07%	198	121	215	77	154	78
	_Vs Division	5	4	1	0	0	0	0	0	17	12	5	3	3	0	0	0	0	0	0	12	8	4	2	1	1	0	0	0	0	0	5	4	1	8	0.800	17	26	43	0	0	15	7	8	3	166	106	92	93	9	205	66	21	100	10	1	10.00%	8	1	87.50%	0	90	177	50.85%	83	189	43.92%	63	121	52.07%	198	121	215	77	154	78

			Total Pour les Joueurs
Matchs Jou�s	Points	S�quence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqu�s	Minutes de P�nalit�	Mises en �chec	Buts en Filet D�sert	Blanchissage
9	16	W1	33	53	86	300	351	120	58	162	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	8	1	0	0	0	0	33	23

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	5	0	0	0	0	0	19	12

Matchs �xt�rieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	14	11

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
8	0	0	1	0	0

Tentatives en Avantage Num�rique	Buts en Avantage Num�rique	% en Avantage Num�rique	Tentatives en D�savantage Num�rique	Buts Contre en D�savantage Num�rique	% en D�savantage Num�rique	Buts Pour en D�savantage Num�rique
16	3	18.75%	14	1	92.86%	0

Tirs en 1e P�riode	Tirs en 2e P�riode	Tirs en 3e P�riode	Tirs en 4e P�riode	Buts en 1e P�riode	Buts en 2e P�riode	Buts en 3e P�riode	Buts en 4e P�riode
106	92	93	9	15	7	8	3

Mises en Jeu
Gagn�es en Zone Offensive	Total en Zone Offensive	% Gagn�es en Zone Offensive	Gagn�es en Zone D�fensive	Total en Zone D�fensive	% Gagn�es en Zone D�fensive	Gagn�es en Zone Neutre	Total en Zone Neutre	% Gagn�es en Zone Neutre
90	177	50.85%	83	189	43.92%	63	121	52.07%

Temps Avec la Rondelle
En Zone Offensive	Contr�le en Zone Offensive	En Zone D�fensive	Contr�le en Zone D�fensive	En Zone Neutre	Contr�le en Zone Neutre
198	121	215	77	154	78

Derniers Match Jou�s 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	�quipe Visiteuse	Score	�quipe Locale	Score	ST	OT	Lien
2 - 2024-04-19	5	Silver Knights	2	Wild	3	BW		Sommaire du Match
4 - 2024-04-21	13	Silver Knights	2	Wild	4	BW		Sommaire du Match
6 - 2024-04-23	21	Wild	4	Silver Knights	3	AW	X	Sommaire du Match
8 - 2024-04-25	29	Wild	5	Silver Knights	4	AW	X	Sommaire du Match
16 - 2024-05-03	59	Thunderbirds	4	Wild	5	BW	X	Sommaire du Match
18 - 2024-05-05	63	Thunderbirds	1	Wild	3	BW		Sommaire du Match
20 - 2024-05-07	67	Wild	3	Thunderbirds	1	AW		Sommaire du Match
22 - 2024-05-09	71	Wild	2	Thunderbirds	3	AL	X	Sommaire du Match
24 - 2024-05-11	75	Thunderbirds	3	Wild	4	BW		Sommaire du Match

Capacit� de l'Ar�na - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacit� de l'Ar�na	3500	1500
Prix des Billets	50	25
Assistance	17,500	7,500
Assistance PCT	100.00%	100.00%

Revenus
Matchs � domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels � ce Jour	Capacit� de l'Ar�na	Popularit� de l'�quipe
36	5000 - 100.00%	108,375$	541,875$	5000	100

D�penses
D�penses Annuelles � Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	21,930,474$	21,930,474$	0$

Cap Salarial Par Jour	Cap salarial � ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0	0

�stimation
Revenus de la Saison �stim�s	Jours Restants de la Saison	D�penses Par Jour	D�penses de la Saison �stim�es
0$	1	0$	0$

Wild

Afficher ou Masquer des Colonnes

#	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	Clark Bishop	236	121	197	318	173	16	285	199	595	20.34%	68	3445	14.60	10	9	19	30	1	2	3	4	15	2	52.91%	10	1.85	0	0
2	Jake Walman	164	119	155	274	117	26	197	169	446	26.68%	187	3299	20.12	2	2	4	6	3	5	8	10	13	3	0.00%	15	1.66	1	1
3	Dominic Toninato	164	120	153	273	98	380	258	173	500	24.00%	62	2569	15.67	6	16	22	34	2	5	7	10	11	1	49.01%	8	2.12	0	2
4	Josh Brown	117	107	147	254	79	116	253	168	357	29.97%	180	2619	22.39	33	30	63	87	2	1	3	5	7	3	0.00%	12	1.94	0	0
5	Cam York	158	111	142	253	153	17	170	82	423	26.24%	119	2883	18.25	23	31	54	77	1	2	3	2	12	3	0.00%	8	1.76	0	0

Wild

Afficher ou Masquer des Colonnes

#	Nom du Gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Spencer Knight	207	157	34	8	0.891	3.42	11770	10	3	670	6146	3566	9	1	0.722	18
2	Malcolm Subban	33	27	4	0	0.880	3.23	1896	0	6	102	852	460	3	0	0.000	0
3	Stuart Skinner	27	14	2	1	0.594	9.64	1251	0	0	201	495	183	3	0	0.000	2
4	Mads Sogaard	15	12	2	1	0.914	2.92	904	0	0	44	509	313	0	0	0.000	0
5	Arturs Silovs	2	1	0	0	0.810	3.24	74	0	0	4	21	13	0	0	0.000	0

Wild

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Ann�e	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 R�guli�re
2021	82	64	15	0	0	1	0	2	835	563	272	41	34	4	0	0	1	0	2	460	235	225	41	30	11	0	0	0	0	0	375	328	47	131	835	1346	2181	0	2	0	377	248	210	3069	0	1024	1040	1001	2064	785	2066	1430	239	111	46.44%	199	69	65.33%	15	735	1512	48.61%	567	1164	48.71%	983	2037	48.26%	1976	1385	1781	567	1173	589
2022	82	66	11	0	4	1	0	0	400	200	200	41	35	3	0	3	0	0	0	208	87	121	41	31	8	0	1	1	0	0	192	113	79	141	400	693	1093	1	1	161	107	128	4	3093	1201	1001	884	7	2649	980	332	1851	158	36	22.78%	162	24	85.19%	5	820	1542	53.18%	792	1475	53.69%	609	1144	53.23%	1922	1263	1710	645	1289	640
2023	82	58	13	0	2	5	2	2	402	222	180	41	32	6	0	2	0	1	0	210	98	112	41	26	7	0	0	5	1	2	192	124	68	131	402	684	1086	0	1	164	128	106	6	3229	1302	1026	885	34	2824	999	569	1892	144	47	32.64%	117	19	83.76%	5	914	1678	54.47%	795	1494	53.21%	611	1184	51.60%	1979	1319	1681	627	1294	657
Total Saison R�guli�re	246	188	39	0	6	7	2	4	1637	985	652	123	101	13	0	5	1	1	2	878	420	458	123	87	26	0	1	6	1	2	759	565	194	403	1637	2723	4360	1	4	325	612	482	220	9391	2503	3051	2809	1042	7537	2764	2967	5173	541	194	35.86%	478	112	76.57%	25	2469	4732	52.18%	2154	4133	52.12%	2203	4365	50.47%	5877	3968	5172	1840	3757	1886
S�ries
2021	6	2	4	0	0	0	0	0	41	51	-10	3	1	2	0	0	0	0	0	23	24	-1	3	1	2	0	0	0	0	0	18	27	-9	4	41	69	110	0	0	0	24	8	9	249	0	93	78	78	183	78	89	115	16	3	18.75%	12	8	33.33%	0	35	124	28.23%	36	95	37.89%	55	137	40.15%	158	117	120	39	81	40
2022	21	12	9	0	0	0	0	0	77	75	2	12	9	3	0	0	0	0	0	52	33	19	9	3	6	0	0	0	0	0	25	42	-17	24	77	140	217	0	0	34	25	17	1	809	312	270	222	5	782	260	72	424	53	13	24.53%	36	8	77.78%	0	232	446	52.02%	220	420	52.38%	141	295	47.80%	478	317	479	160	313	156
2023	9	8	1	0	0	0	0	0	33	23	10	5	5	0	0	0	0	0	0	19	12	7	4	3	1	0	0	0	0	0	14	11	3	16	33	53	86	0	0	15	7	8	3	300	106	92	93	9	351	120	58	162	16	3	18.75%	14	1	92.86%	0	90	177	50.85%	83	189	43.92%	63	121	52.07%	198	121	215	77	154	78
Total S�ries	36	22	14	0	0	0	0	0	151	149	2	20	15	5	0	0	0	0	0	94	69	25	16	7	9	0	0	0	0	0	57	80	-23	44	151	262	413	0	0	49	56	33	13	1358	418	455	393	92	1316	458	219	701	85	19	22.35%	62	17	72.58%	0	357	747	47.79%	339	704	48.15%	259	553	46.84%	835	556	815	277	550	275

Wild

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
1	Jack Drury	30	12	16	28	-4	16	33	43	78	15.38%	31	615	20.50	2	5	7	12	0	3	2	51.14%	1	0.91
2	Cam York	27	7	19	26	-7	4	21	19	68	10.29%	18	604	22.40	1	5	6	14	0	2	0	0.00%	0	0.86
3	Kieffer Bellows	30	11	14	25	3	4	53	28	95	11.58%	15	529	17.65	0	1	1	2	1	1	0	23.08%	0	0.94
4	Dominic Toninato	27	11	12	23	4	30	41	34	71	15.49%	12	317	11.74	0	0	0	0	0	1	1	52.17%	1	1.45
5	Graeme Clarke	36	5	17	22	19	4	32	18	52	9.62%	12	452	12.58	1	0	1	1	0	1	0	46.43%	0	0.97

Wild

Afficher ou Masquer des Colonnes

#	Nom du Gardien	GP	W	L	OTL	PCT	GAA	MP	GA	SA	SAR	A
1	Spencer Knight	27	14	8	4	0.879	4.36	1529	111	915	519	0
2	Mads Sogaard	9	8	0	1	0.934	2.43	568	23	351	207	1
3	Arturs Silovs	2	0	0	0	0.852	3.87	62	4	27	17	0

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