Stanley Cup Winners Hockey League

NASHVILLE Predators
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Calendrier
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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	Beau Bennett	0			X		100.00	64	45	89	63	79	85	87	61	64	62	57	59	56	77	69	66	99	69	0
2	Brett Murray (R)	0		X			100.00	83	47	89	58	97	85	87	57	54	56	55	62	58	63	62	64	99	69	0
3	Carter Verhaeghe	0	X				100.00	58	39	86	64	73	79	81	62	72	63	61	65	64	69	66	62	99	68	0
4	Rocco Grimaldi	0	X		X		100.00	58	37	82	68	62	72	81	67	53	70	63	61	67	73	68	66	99	68	0
5	Emil Bemstrom (R)	0	X				100.00	71	39	88	68	72	74	75	66	53	65	67	62	68	61	65	63	99	68	0
6	Markus Hannikainen	0		X			100.00	64	39	86	62	77	80	78	63	54	60	60	59	63	73	67	54	99	67	0
7	Pontus Aberg	0		X	X		100.00	59	43	83	66	73	75	72	65	58	63	64	61	66	73	67	64	99	67	0
8	Dalton Smith	0		X			100.00	64	52	78	59	82	77	75	58	51	57	56	60	59	75	68	64	99	65	0
9	Tomas Hyka (R)	0			X		100.00	51	35	73	69	64	58	58	68	56	66	65	57	66	51	50	47	99	61	0
10	Sergey Tolchinsky	0		X			100.00	48	42	74	60	54	53	60	60	50	62	57	60	57	50	50	44	99	57	0
11	Maxime Lajoie (R)	0				X	100.00	61	42	89	66	77	83	79	63	30	64	61	65	52	65	63	58	99	68	0
12	Tucker Poolman (R)	0				X	100.00	59	39	87	62	80	83	67	61	30	69	58	63	50	73	68	49	99	67	0
13	Thomas Schemitsch	0				X	100.00	70	51	86	57	86	88	85	56	30	55	54	58	45	67	64	56	99	66	0
14	John Ramage	0				X	100.00	50	89	60	66	72	50	50	66	30	52	47	50	57	50	50	51	99	55	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	61	46	82	63	75	74	74	62	49	62	59	60	59	66	63	58	99	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
1	Thatcher Demko	100.00	79	78	76	85	78	77	79	78	77	79	78	69	73	76	99	71	0
2	Charlie Lindgren	100.00	75	65	63	73	74	73	75	74	73	75	74	73	77	58	99	67	0
3	Samuel Montembeault (R)	100.00	67	68	72	81	69	71	70	69	69	66	66	50	59	44	99	61	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	74	70	70	80	74	74	75	74	73	73	73	64	70	59	99	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Davis Payne	70	70	70	70	75	75	70	CAN	50	3	300,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	S1	S2	S3
1	Brett Murray	MILWAUKEE Admirals (NSH)	LW	8	6	3	9	2	6	20	7	31	6	16	19.35%	2	208	26.11	1	0	1	7	20	0	9	2	2	53.66%	41	0	0.86	0	1	2	1	0
2	Emil Bemstrom	MILWAUKEE Admirals (NSH)	C	8	6	3	9	4	2	9	20	44	12	41	13.64%	2	190	23.84	2	0	2	6	19	0	6	0	0	46.72%	137	1	0.94	1	1	2	0	0
3	Rocco Grimaldi	MILWAUKEE Admirals (NSH)	C/RW	8	7	1	8	3	2	8	14	36	11	25	19.44%	1	175	21.97	0	1	1	4	22	1	7	3	1	52.54%	177	0	0.91	0	1	0	3	1
4	Pontus Aberg	MILWAUKEE Admirals (NSH)	LW/RW	8	1	7	8	0	2	9	6	34	11	15	2.94%	1	164	20.55	0	1	1	10	22	0	0	0	0	62.50%	8	0	0.97	0	0	1	0	0
5	Markus Hannikainen	MILWAUKEE Admirals (NSH)	LW	8	0	6	6	3	0	4	8	24	2	12	0.00%	3	149	18.68	0	0	0	0	2	0	9	0	0	26.67%	15	0	0.80	0	0	0	0	0
6	Maxime Lajoie	MILWAUKEE Admirals (NSH)	D	8	0	6	6	0	8	11	5	9	7	11	0.00%	17	223	28.00	0	3	3	6	20	0	6	0	0	0.00%	0	0	0.54	0	0	0	0	0
7	Carter Verhaeghe	MILWAUKEE Admirals (NSH)	C	8	2	3	5	3	0	3	11	20	6	20	10.00%	4	125	15.64	0	0	0	0	0	0	3	0	0	53.57%	112	0	0.80	0	0	0	0	0
8	Tucker Poolman	MILWAUKEE Admirals (NSH)	D	8	0	5	5	-1	2	13	11	10	9	10	0.00%	10	224	28.03	0	2	2	4	20	0	10	0	0	0.00%	0	0	0.45	0	0	0	0	0
9	Dalton Smith	MILWAUKEE Admirals (NSH)	LW	8	1	3	4	4	2	11	3	13	5	7	7.69%	3	102	12.84	0	0	0	0	0	1	0	0	0	42.86%	7	0	0.78	0	0	0	0	1
10	Beau Bennett	MILWAUKEE Admirals (NSH)	RW	8	1	3	4	6	2	7	13	25	6	20	4.00%	4	208	26.05	0	0	0	3	19	0	11	0	0	57.27%	110	0	0.38	0	1	0	0	0
11	Tomas Hyka	MILWAUKEE Admirals (NSH)	RW	8	1	3	4	0	0	8	9	21	8	14	4.76%	0	158	19.87	0	0	0	4	21	0	0	0	0	64.29%	14	0	0.50	0	0	0	1	0
12	Sergey Tolchinsky	MILWAUKEE Admirals (NSH)	LW	8	0	2	2	1	2	2	1	2	1	2	0.00%	2	65	8.18	0	0	0	0	2	0	3	0	0	75.00%	8	0	0.61	0	0	0	0	0
13	John Ramage	MILWAUKEE Admirals (NSH)	D	8	1	0	1	5	2	6	3	4	0	1	25.00%	8	175	21.98	1	0	1	3	19	0	8	0	0	0.00%	0	0	0.11	0	0	0	0	0
14	Thomas Schemitsch	MILWAUKEE Admirals (NSH)	D	8	0	1	1	5	2	10	10	7	0	3	0.00%	13	215	26.95	0	0	0	4	20	0	11	0	0	0.00%	0	0	0.09	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				112	26	46	72	35	32	121	121	280	84	197	9.29%	70	2389	21.34	4	7	11	51	210	2	89	5	3	52.31%	629	1	0.60	1	4	5	5	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 Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Thatcher Demko	MILWAUKEE Admirals (NSH)	8	5	2	1	0.922	1.96	491	0	1	16	206	0	0	1	0.500	4	8	0	1	0	1
Stats d'équipe Total ou en Moyenne			8	5	2	1	0.922	1.96	491	0	1	16	206	0	0	1	0.500	4	8	0	1	0	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	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Beau Bennett	MILWAUKEE Admirals (NSH)	RW	28	1991-11-27	No	89 Kg	188 CM	No	No	No	1	Pro & Farm	750,000$	674,311$	750,000$	674,311$	0$	0$	No				Lien
Brett Murray	MILWAUKEE Admirals (NSH)	LW	22	1998-07-20	Yes	107 Kg	196 CM	No	No	No	4	Pro & Farm	750,000$	674,311$	750,000$	674,311$	0$	0$	No	750,000$	750,000$	750,000$
Carter Verhaeghe	MILWAUKEE Admirals (NSH)	C	25	1995-08-14	No	80 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	674,311$	750,000$	674,311$	0$	0$	No				Lien
Charlie Lindgren	MILWAUKEE Admirals (NSH)	G	26	1993-12-18	No	82 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	674,311$	750,000$	674,311$	0$	0$	No				Lien
Dalton Smith	MILWAUKEE Admirals (NSH)	LW	28	1992-06-30	No	94 Kg	188 CM	No	No	No	1	Pro & Farm	750,000$	674,311$	750,000$	674,311$	0$	0$	No				Lien
Emil Bemstrom	MILWAUKEE Admirals (NSH)	C	21	1999-06-01	Yes	86 Kg	183 CM	No	No	No	4	Pro & Farm	750,000$	674,311$	750,000$	674,311$	0$	0$	No	750,000$	750,000$	750,000$
John Ramage	MILWAUKEE Admirals (NSH)	D	29	1991-02-07	No	86 Kg	183 CM	No	No	No	2	Pro & Farm	750,000$	674,311$	750,000$	674,311$	0$	0$	No	750,000$			Lien
Markus Hannikainen	MILWAUKEE Admirals (NSH)	LW	27	1993-03-26	No	91 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	674,311$	750,000$	674,311$	0$	0$	No				Lien
Maxime Lajoie	MILWAUKEE Admirals (NSH)	D	22	1997-11-05	Yes	89 Kg	185 CM	No	No	No	4	Pro & Farm	750,000$	674,311$	750,000$	674,311$	0$	0$	No	750,000$	750,000$	750,000$
Pontus Aberg	MILWAUKEE Admirals (NSH)	LW/RW	26	1993-09-23	No	88 Kg	183 CM	No	No	No	4	Pro & Farm	750,000$	674,311$	750,000$	674,311$	0$	0$	No	750,000$	750,000$	750,000$	Lien
Rocco Grimaldi	MILWAUKEE Admirals (NSH)	C/RW	27	1993-02-08	No	82 Kg	168 CM	No	No	No	2	Pro & Farm	1,500,000$	1,348,623$	1,500,000$	1,348,623$	0$	0$	No	1,500,000$			Lien
Samuel Montembeault (Contrat à 1 Volet)	MILWAUKEE Admirals (NSH)	G	23	1996-10-30	Yes	87 Kg	191 CM	No	No	No	3	Pro & Farm	750,000$	675,675$	750,000$	675,675$	750,000$	675,676$	No	750,000$	750,000$		Lien
Sergey Tolchinsky	MILWAUKEE Admirals (NSH)	LW	25	1995-02-03	No	77 Kg	173 CM	No	No	No	1	Pro & Farm	750,000$	674,311$	750,000$	674,311$	0$	0$	No				Lien
Thatcher Demko	MILWAUKEE Admirals (NSH)	G	24	1995-12-08	No	87 Kg	193 CM	No	No	No	4	Pro & Farm	1,000,000$	899,082$	1,000,000$	899,082$	0$	0$	No	1,000,000$	1,000,000$	1,000,000$	Lien
Thomas Schemitsch	MILWAUKEE Admirals (NSH)	D	23	1996-10-26	No	91 Kg	193 CM	No	No	No	2	Pro & Farm	750,000$	674,311$	750,000$	674,311$	0$	0$	No	750,000$			Lien
Tomas Hyka	MILWAUKEE Admirals (NSH)	RW	27	1993-03-23	Yes	73 Kg	180 CM	No	No	No	1	Pro & Farm	750,000$	674,311$	750,000$	674,311$	0$	0$	No				Lien
Tucker Poolman	MILWAUKEE Admirals (NSH)	D	27	1993-06-08	Yes	90 Kg	188 CM	No	No	No	4	Pro & Farm	750,000$	674,311$	750,000$	674,311$	0$	0$	No	750,000$	750,000$	750,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
17	25.29	87 Kg	185 CM	2.35	808,824$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brett Murray	Emil Bemstrom	Beau Bennett	31	1	2	2
2	Pontus Aberg	Rocco Grimaldi	Tomas Hyka	26	1	2	2
3	Markus Hannikainen	Carter Verhaeghe	Brett Murray	23	1	2	2
4	Dalton Smith	Beau Bennett	Emil Bemstrom	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Maxime Lajoie	Tucker Poolman	31	1	2	2
2	Thomas Schemitsch	John Ramage	26	1	2	2
3	Maxime Lajoie	Tucker Poolman	23	1	2	2
4	Thomas Schemitsch	John Ramage	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brett Murray	Emil Bemstrom	Beau Bennett	55	1	2	2
2	Pontus Aberg	Rocco Grimaldi	Tomas Hyka	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Maxime Lajoie	Tucker Poolman	55	1	2	2
2	Thomas Schemitsch	John Ramage	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Brett Murray	Beau Bennett	55	1	2	2
2	Emil Bemstrom	Rocco Grimaldi	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Maxime Lajoie	Tucker Poolman	55	1	2	2
2	Thomas Schemitsch	John Ramage	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Brett Murray	55	1	2	2	Maxime Lajoie	Tucker Poolman	55	1	2	2
2	Beau Bennett	45	1	2	2	Thomas Schemitsch	John Ramage	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Brett Murray	Beau Bennett	55	1	2	2
2	Emil Bemstrom	Rocco Grimaldi	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Maxime Lajoie	Tucker Poolman	55	1	2	2
2	Thomas Schemitsch	John Ramage	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brett Murray	Emil Bemstrom	Beau Bennett	Maxime Lajoie	Tucker Poolman

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brett Murray	Emil Bemstrom	Beau Bennett	Maxime Lajoie	Tucker Poolman

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Sergey Tolchinsky, Carter Verhaeghe, Markus Hannikainen	Sergey Tolchinsky, Carter Verhaeghe	Markus Hannikainen

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Maxime Lajoie, Tucker Poolman, Thomas Schemitsch	Maxime Lajoie	Tucker Poolman, Thomas Schemitsch

Tirs de Pénalité
Brett Murray, Beau Bennett, Emil Bemstrom, Rocco Grimaldi, Carter Verhaeghe

Gardien
#1 : Thatcher Demko, #2 : Charlie Lindgren, #3 : Samuel Montembeault

Lignes d'Attaque Perso. en Prol.
Brett Murray, Beau Bennett, Emil Bemstrom, Rocco Grimaldi, Carter Verhaeghe, Pontus Aberg, Pontus Aberg, Markus Hannikainen, Dalton Smith, Tomas Hyka, Sergey Tolchinsky

Lignes de Défense Perso. en Prol.
Maxime Lajoie, Tucker Poolman, Thomas Schemitsch, John Ramage,

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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

	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	BELLEVILLE Senators	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	1	0	8	7	8	4	27	75	89	109	11	21	8	10	12	3	1	33.33%	3	1	66.67%	0	148	246	60.16%	124	245	50.61%	57	122	46.72%	221	165	169	53	101	51
2	COLORADO Eagles	1	1	0	0	0	0	0	0	1	0	1	1	1	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	1	1	2	0	1	8	7	8	4	20	75	89	109	11	23	15	2	12	1	0	0.00%	1	0	100.00%	0	148	246	60.16%	124	245	50.61%	57	122	46.72%	221	165	169	53	101	51
3	HOLLYWOOD Oscar	1	0	0	0	1	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	2	1	1	2	1.000	2	4	6	0	0	8	7	8	4	43	75	89	109	11	25	10	2	10	10	0	0.00%	1	0	100.00%	0	148	246	60.16%	124	245	50.61%	57	122	46.72%	221	165	169	53	101	51
4	IOWA Wild	1	0	0	0	1	0	0	0	4	3	1	1	0	0	0	1	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	8	7	8	4	32	75	89	109	11	19	6	2	19	2	0	0.00%	1	0	100.00%	0	148	246	60.16%	124	245	50.61%	57	122	46.72%	221	165	169	53	101	51
5	Quebec Nordiques	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	8	7	8	4	39	75	89	109	11	33	5	6	11	0	0	0.00%	2	0	100.00%	0	148	246	60.16%	124	245	50.61%	57	122	46.72%	221	165	169	53	101	51
6	SAN DIEGO Gulls	1	1	0	0	0	0	0	0	10	2	8	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	10	2	8	2	1.000	10	19	29	0	0	8	7	8	4	65	75	89	109	11	17	4	0	26	2	1	50.00%	0	0	0.00%	0	148	246	60.16%	124	245	50.61%	57	122	46.72%	221	165	169	53	101	51
7	TUSCON Roadrunners	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	5	8	0	0	8	7	8	4	30	75	89	109	11	31	8	4	18	4	2	50.00%	2	0	100.00%	0	148	246	60.16%	124	245	50.61%	57	122	46.72%	221	165	169	53	101	51
	Total	8	2	2	0	3	0	0	1	26	18	8	5	1	2	0	2	0	0	0	11	11	0	3	1	0	0	1	0	0	1	15	7	8	11	0.688	26	46	72	1	1	8	7	8	4	280	75	89	109	11	207	70	32	121	25	4	16.00%	13	3	76.92%	0	148	246	60.16%	124	245	50.61%	57	122	46.72%	221	165	169	53	101	51
9	WILKIES-BARRIE Penguins	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	3	4	-1	1	0.500	3	5	8	0	0	8	7	8	4	24	75	89	109	11	38	14	6	13	3	0	0.00%	3	2	33.33%	0	148	246	60.16%	124	245	50.61%	57	122	46.72%	221	165	169	53	101	51
	_Since Last GM Reset	8	2	2	0	3	0	0	1	26	18	8	5	1	2	0	2	0	0	0	11	11	0	3	1	0	0	1	0	0	1	15	7	8	11	0.688	26	46	72	1	1	8	7	8	4	280	75	89	109	11	207	70	32	121	25	4	16.00%	13	3	76.92%	0	148	246	60.16%	124	245	50.61%	57	122	46.72%	221	165	169	53	101	51
	_Vs Conference	3	2	0	0	1	0	0	0	14	4	10	2	1	0	0	1	0	0	0	4	2	2	1	1	0	0	0	0	0	0	10	2	8	6	1.000	14	25	39	0	1	8	7	8	4	115	75	89	109	11	71	27	6	56	7	3	42.86%	3	0	100.00%	0	148	246	60.16%	124	245	50.61%	57	122	46.72%	221	165	169	53	101	51
	_Vs Division	2	2	0	0	0	0	0	0	5	3	2	2	1	0	0	0	0	0	0	5	3	2	0	1	0	0	0	0	0	0	0	0	0	4	1.000	5	7	12	0	1	8	7	8	4	52	75	89	109	11	42	21	4	31	3	0	0.00%	2	0	100.00%	0	148	246	60.16%	124	245	50.61%	57	122	46.72%	221	165	169	53	101	51

			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
8	11	L1	26	46	72	280	207	70	32	121	1	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	2	2	3	0	0	1	26	18

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	2	2	0	0	0	11	11

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	0	1	0	0	1	15	7

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	2	0	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
25	4	16.00%	13	3	76.92%	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
75	89	109	11	8	7	8	4

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
148	246	60.16%	124	245	50.61%	57	122	46.72%

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
221	165	169	53	101	51

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 - 2020-08-02	8	MILWAUKEE Admirals	10	SAN DIEGO Gulls	2	W			Sommaire du Match
2 - 2020-08-03	23	COLORADO Eagles	0	MILWAUKEE Admirals	1	W			Sommaire du Match
4 - 2020-08-05	31	IOWA Wild	3	MILWAUKEE Admirals	4	W	X		Sommaire du Match
6 - 2020-08-07	52	MILWAUKEE Admirals	2	HOLLYWOOD Oscar	1	W	X		Sommaire du Match
7 - 2020-08-08	64	MILWAUKEE Admirals	3	WILKIES-BARRIE Penguins	4	L	X	X	Sommaire du Match
8 - 2020-08-09	74	BELLEVILLE Senators	3	MILWAUKEE Admirals	1	L			Sommaire du Match
10 - 2020-08-11	90	TUSCON Roadrunners	2	MILWAUKEE Admirals	3	W	X		Sommaire du Match
11 - 2020-08-12	105	Quebec Nordiques	3	MILWAUKEE Admirals	2	L			Sommaire du Match
12 - 2020-08-13	123	BELLEVILLE Senators	-	MILWAUKEE Admirals	-
13 - 2020-08-14	131	MILWAUKEE Admirals	-	LAVAL Rockets	-
15 - 2020-08-16	149	MILWAUKEE Admirals	-	BRIDGEPORT Sound Tigers	-
16 - 2020-08-17	157	ROCKFORD IceHogs	-	MILWAUKEE Admirals	-
19 - 2020-08-20	182	MONT-LAURIER Sommet	-	MILWAUKEE Admirals	-
21 - 2020-08-22	200	MILWAUKEE Admirals	-	BROOKLYN Wolfpack	-
22 - 2020-08-23	210	Manitoba Moose	-	MILWAUKEE Admirals	-
23 - 2020-08-24	226	MILWAUKEE Admirals	-	LAVAL Rockets	-
24 - 2020-08-25	237	COLORADO Eagles	-	MILWAUKEE Admirals	-
26 - 2020-08-27	253	MILWAUKEE Admirals	-	BELLEVILLE Senators	-
27 - 2020-08-28	266	MILWAUKEE Admirals	-	HERSEY Bears	-
28 - 2020-08-29	276	ROCKFORD IceHogs	-	MILWAUKEE Admirals	-
29 - 2020-08-30	289	Quebec Nordiques	-	MILWAUKEE Admirals	-
31 - 2020-09-01	305	MILWAUKEE Admirals	-	TUSCON Roadrunners	-
32 - 2020-09-02	314	SAN DIEGO Gulls	-	MILWAUKEE Admirals	-
33 - 2020-09-03	328	MILWAUKEE Admirals	-	PROVIDENCE Bruins	-
34 - 2020-09-04	339	UTICA Comets	-	MILWAUKEE Admirals	-
37 - 2020-09-07	363	UTICA Comets	-	MILWAUKEE Admirals	-
38 - 2020-09-08	375	MILWAUKEE Admirals	-	WILKIES-BARRIE Penguins	-
39 - 2020-09-09	382	MILWAUKEE Admirals	-	BELLEVILLE Senators	-
40 - 2020-09-10	391	HOLLYWOOD Oscar	-	MILWAUKEE Admirals	-
42 - 2020-09-12	411	MILWAUKEE Admirals	-	SAN DIEGO Gulls	-
43 - 2020-09-13	420	VICTORIAVILLE Tigres	-	MILWAUKEE Admirals	-
46 - 2020-09-16	442	MILWAUKEE Admirals	-	HERSEY Bears	-
47 - 2020-09-17	451	STOCKTON Flames	-	MILWAUKEE Admirals	-
48 - 2020-09-18	466	LEHIGH VALLEY Phantoms	-	MILWAUKEE Admirals	-
50 - 2020-09-20	484	MILWAUKEE Admirals	-	Syracruse Crunch	-
51 - 2020-09-21	494	MILWAUKEE Admirals	-	STOCKTON Flames	-
52 - 2020-09-22	500	IOWA Wild	-	MILWAUKEE Admirals	-
54 - 2020-09-24	521	MONT-LAURIER Sommet	-	MILWAUKEE Admirals	-
56 - 2020-09-26	539	MILWAUKEE Admirals	-	IOWA Wild	-
57 - 2020-09-27	549	WILKIES-BARRIE Penguins	-	MILWAUKEE Admirals	-
58 - 2020-09-28	566	MILWAUKEE Admirals	-	HOLLYWOOD Oscar	-
59 - 2020-09-29	576	STOCKTON Flames	-	MILWAUKEE Admirals	-
61 - 2020-10-01	593	MILWAUKEE Admirals	-	ROCKFORD IceHogs	-
62 - 2020-10-02	605	HERSEY Bears	-	MILWAUKEE Admirals	-
64 - 2020-10-04	624	MILWAUKEE Admirals	-	PV Sharapovas	-
65 - 2020-10-05	634	VICTORIAVILLE Tigres	-	MILWAUKEE Admirals	-
66 - 2020-10-06	645	MILWAUKEE Admirals	-	MONT-LAURIER Sommet	-
67 - 2020-10-07	655	CHICAGO Wolves	-	MILWAUKEE Admirals	-
69 - 2020-10-09	677	Marlies de Toronto	-	MILWAUKEE Admirals	-
70 - 2020-10-10	691	MILWAUKEE Admirals	-	BROOKLYN Wolfpack	-
71 - 2020-10-11	701	PV Sharapovas	-	MILWAUKEE Admirals	-
72 - 2020-10-12	716	MILWAUKEE Admirals	-	HOLLYWOOD Oscar	-
73 - 2020-10-13	726	CHICAGO Wolves	-	MILWAUKEE Admirals	-
75 - 2020-10-15	744	MILWAUKEE Admirals	-	VICTORIAVILLE Tigres	-
77 - 2020-10-17	755	Binghampton Devils	-	MILWAUKEE Admirals	-
79 - 2020-10-19	775	MILWAUKEE Admirals	-	Manitoba Moose	-
80 - 2020-10-20	785	BROOKLYN Wolfpack	-	MILWAUKEE Admirals	-
81 - 2020-10-21	797	MILWAUKEE Admirals	-	UTICA Comets	-
82 - 2020-10-22	807	TUSCON Roadrunners	-	MILWAUKEE Admirals	-
83 - 2020-10-23	816	MILWAUKEE Admirals	-	CHICAGO Wolves	-
84 - 2020-10-24	830	MILWAUKEE Admirals	-	Quebec Nordiques	-
85 - 2020-10-25	836	BRIDGEPORT Sound Tigers	-	MILWAUKEE Admirals	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
87 - 2020-10-27	859	PROVIDENCE Bruins	-	MILWAUKEE Admirals	-
88 - 2020-10-28	865	MILWAUKEE Admirals	-	LEHIGH VALLEY Phantoms	-
89 - 2020-10-29	883	Syracruse Crunch	-	MILWAUKEE Admirals	-
90 - 2020-10-30	888	MILWAUKEE Admirals	-	PROVIDENCE Bruins	-
92 - 2020-11-01	911	Syracruse Crunch	-	MILWAUKEE Admirals	-
94 - 2020-11-03	925	MILWAUKEE Admirals	-	WILKIES-BARRIE Penguins	-
95 - 2020-11-04	938	PV Sharapovas	-	MILWAUKEE Admirals	-
96 - 2020-11-05	950	MILWAUKEE Admirals	-	Binghampton Devils	-
97 - 2020-11-06	963	BRIDGEPORT Sound Tigers	-	MILWAUKEE Admirals	-
98 - 2020-11-07	972	MILWAUKEE Admirals	-	COLORADO Eagles	-
100 - 2020-11-09	984	MILWAUKEE Admirals	-	Manitoba Moose	-
101 - 2020-11-10	990	LAVAL Rockets	-	MILWAUKEE Admirals	-
102 - 2020-11-11	997	MILWAUKEE Admirals	-	Marlies de Toronto	-
103 - 2020-11-12	1003	MILWAUKEE Admirals	-	BRIDGEPORT Sound Tigers	-
104 - 2020-11-13	1015	MILWAUKEE Admirals	-	Binghampton Devils	-
105 - 2020-11-14	1019	LAVAL Rockets	-	MILWAUKEE Admirals	-
106 - 2020-11-15	1027	MILWAUKEE Admirals	-	Marlies de Toronto	-
107 - 2020-11-16	1035	MILWAUKEE Admirals	-	LEHIGH VALLEY Phantoms	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
35	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
136,700$	1,300,000$	1,300,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	133,948$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	98	11,927$	1,168,846$

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
33	82	49	22	0	4	2	2	3	364	144	220	41	25	9	0	2	2	1	2	183	61	122	41	24	13	0	2	0	1	1	181	83	98	98	364	652	1016	0	19	174	101	83	7	3680	1202	1214	1247	34	1878	557	503	1364	246	36	14.63%	215	26	87.91%	5	1725	2801	61.59%	1079	2165	49.84%	724	1213	59.69%	2479	1920	1562	475	913	497
34	8	2	2	0	3	0	0	1	26	18	8	5	1	2	0	2	0	0	0	11	11	0	3	1	0	0	1	0	0	1	15	7	8	11	26	46	72	1	1	8	7	8	4	280	75	89	109	11	207	70	32	121	25	4	16.00%	13	3	76.92%	0	148	246	60.16%	124	245	50.61%	57	122	46.72%	221	165	169	53	101	51
Total Saison Régulière	90	51	24	0	7	2	2	4	390	162	228	46	26	11	0	4	2	1	2	194	72	122	44	25	13	0	3	0	1	2	196	90	106	109	390	698	1088	1	20	182	108	91	11	3960	1277	1303	1356	45	2085	627	535	1485	271	40	14.76%	228	29	87.28%	5	1873	3047	61.47%	1203	2410	49.92%	781	1335	58.50%	2700	2086	1732	529	1014	549
Séries
33	5	1	4	0	0	0	0	0	9	12	-3	2	1	1	0	0	0	0	0	4	2	2	3	0	3	0	0	0	0	0	5	10	-5	2	9	17	26	1	1	3	1	5	0	127	39	34	45	9	204	59	48	110	17	2	11.76%	22	2	90.91%	0	62	151	41.06%	91	219	41.55%	28	74	37.84%	119	83	146	41	67	31
Total Séries	5	1	4	0	0	0	0	0	9	12	-3	2	1	1	0	0	0	0	0	4	2	2	3	0	3	0	0	0	0	0	5	10	-5	2	9	17	26	1	1	3	1	5	0	127	39	34	45	9	204	59	48	110	17	2	11.76%	22	2	90.91%	0	62	151	41.06%	91	219	41.55%	28	74	37.84%	119	83	146	41	67	31