LHSRSM - IceHogs

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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	Âge	Contrat	Salaire
1	Jesperi Kotkaniemi	X				100.00	69	43	82	67	80	76	79	68	80	69	63	66	71	59	62	0	50	65	0	19	2	3,425,000$
2	Michael Amadio	X		X		100.00	54	39	86	66	78	71	80	64	78	65	63	62	66	67	64	0	50	64	0	23	2	700,000$
3	Nicolas Roy	X		X		100.00	69	45	88	66	86	75	73	64	71	63	62	65	63	65	64	0	47	64	0	22	1	815,000$
4	Chris Terry		X	X		100.00	54	48	87	63	69	87	90	61	64	62	62	58	63	79	71	0	50	63	0	30	1	675,000$
5	Curtis McKenzie		X			100.00	67	59	80	62	81	88	89	60	63	61	58	64	62	77	69	0	50	63	0	28	1	750,000$
6	Kristian Vesalainen		X	X		100.00	65	45	90	62	85	75	76	63	56	61	59	64	62	61	63	0	48	63	0	20	3	1,460,833$
7	Michael Sgarbossa	X				100.00	59	46	87	62	71	78	75	63	74	62	61	64	62	75	68	0	50	63	0	27	2	700,000$
8	Nic Petan	X	X	X		100.00	54	39	87	68	64	74	73	67	78	66	62	61	67	69	65	0	50	63	0	24	2	775,000$
9	Gabriel Vilardi	X				100.00	64	42	90	65	84	74	67	63	75	61	59	62	65	61	63	0	50	62	0	20	3	1,627,500$
10	Jansen Harkins	X				100.00	59	46	88	63	74	75	73	62	68	61	59	60	63	65	62	0	50	62	0	22	1	925,000$
11	C.J. Smith		X			100.00	57	42	83	62	69	77	73	61	57	60	60	58	62	71	66	0	50	61	0	24	2	700,000$
12	Jaret Anderson-Dolan	X				100.00	58	43	89	65	70	76	74	63	70	61	58	59	59	61	62	0	50	61	0	20	3	913,333$
13	Dante Fabbro				X	100.00	71	39	75	68	72	85	83	65	30	66	63	67	52	63	62	0	50	65	0	21	2	1,491,666$
14	Chris Bigras				X	100.00	61	48	86	60	76	82	81	58	30	59	53	56	46	69	65	0	50	60	0	24	2	700,000$
15	Dysin Mayo				X	100.00	62	51	86	56	76	87	89	54	30	52	53	57	45	67	64	0	50	59	0	23	1	715,000$
Rayé

	MOYENNE D'ÉQUIPE					100.00	62	45	86	64	76	79	78	62	62	62	60	62	61	67	65	0	50	63

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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	Mike Condon	100.00	76	53	51	80	75	74	76	75	74	76	75	78	84	0	50	66	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	76	53	51	80	75	74	76	75	74	76	75	78	84	0	50	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	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'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	Dante Fabbro	IceHogs (CHI)	D	49	16	42	58	22	24	0	133	81	139	52	97	11.51%	80	1201	24.53	4	5	9	54	101	2	0	2	5	74	3	0	0.00%	0	0	0.97	0	0	0	0	6	0	4
2	Jesperi Kotkaniemi	IceHogs (CHI)	C	37	19	39	58	11	21	5	105	119	188	57	147	10.11%	17	887	24.00	0	9	9	16	75	0	1	1	4	69	3	0	60.26%	1072	1	1.31	1	4	1	0	7	3	1
3	Michael Sgarbossa	IceHogs (CHI)	C	49	27	30	57	24	12	0	51	142	206	60	151	13.11%	24	885	18.08	5	1	6	18	48	0	0	0	0	22	3	2	60.87%	1127	1	1.29	0	1	0	0	0	2	3
4	Kristian Vesalainen	IceHogs (CHI)	LW/RW	47	16	35	51	30	18	0	89	64	212	56	172	7.55%	16	911	19.38	1	5	6	16	81	0	0	0	1	25	3	1	56.79%	81	1	1.12	0	0	0	0	2	1	4
5	Chris Terry	IceHogs (CHI)	LW/RW	49	22	28	50	29	13	5	46	75	188	59	140	11.70%	10	920	18.78	1	5	6	25	86	0	0	0	0	0	4	2	44.93%	69	1	1.09	0	0	0	1	2	4	2
6	Curtis McKenzie	IceHogs (CHI)	LW	49	28	21	49	7	20	0	103	72	211	35	110	13.27%	19	805	16.45	1	0	1	3	8	0	0	0	1	18	2	0	54.24%	59	2	1.22	0	0	0	0	2	1	2
7	Nic Petan	IceHogs (CHI)	C/LW/RW	49	24	24	48	12	4	0	46	94	228	62	172	10.53%	14	918	18.74	5	4	9	34	96	0	1	1	0	37	2	1	63.64%	99	0	1.05	1	2	0	0	0	3	1
8	Michael Amadio	IceHogs (CHI)	C/RW	49	17	28	45	0	2	0	57	107	230	72	177	7.39%	17	1001	20.44	2	6	8	19	91	1	1	2	4	81	2	0	62.05%	585	1	0.90	1	3	0	0	1	3	0
9	Jansen Harkins	IceHogs (CHI)	C	49	15	24	39	8	6	0	34	87	172	51	126	8.72%	21	816	16.66	0	1	1	2	9	0	0	0	0	4	1	1	56.54%	642	0	0.96	0	0	0	0	1	3	3
10	Gabriel Vilardi	IceHogs (CHI)	C	49	11	24	35	0	20	0	74	69	155	47	127	7.10%	38	940	19.19	1	2	3	10	29	0	0	0	0	0	1	0	52.63%	266	1	0.74	0	1	0	0	1	2	0
11	C.J. Smith	IceHogs (CHI)	LW	49	7	24	31	17	32	0	102	40	84	28	53	8.33%	84	919	18.77	0	1	1	0	0	0	0	0	0	0	0	0	62.50%	16	0	0.67	0	0	0	0	0	2	0
12	Nicolas Roy	IceHogs (CHI)	C/RW	21	8	22	30	19	8	0	29	50	99	33	55	8.08%	5	424	20.22	1	3	4	7	40	0	1	1	3	34	0	0	65.52%	29	0	1.41	1	4	0	0	0	0	2
13	Dysin Mayo	IceHogs (CHI)	D	45	6	20	26	7	20	0	90	21	40	12	26	15.00%	71	899	20.00	0	3	3	11	65	0	1	1	1	67	0	0	0.00%	1	0	0.58	0	0	0	0	3	0	0
14	Jaret Anderson-Dolan	IceHogs (CHI)	C	49	4	20	24	8	16	0	65	39	56	20	40	7.14%	43	853	17.43	1	1	2	19	49	0	0	0	0	14	0	0	44.44%	18	0	0.56	0	0	0	0	0	0	1
15	Chris Bigras	IceHogs (CHI)	D	49	3	10	13	15	4	0	55	37	49	14	30	6.12%	58	1174	23.96	2	0	2	16	97	0	0	0	1	82	0	0	0.00%	0	0	0.22	0	0	0	0	0	0	2
Stats d'équipe Total ou en Moyenne				689	223	391	614	209	220	10	1079	1097	2257	658	1623	9.88%	517	13562	19.68	24	46	70	250	880	3	5	8	20	534	24	7	59.23%	4064	8	0.91	4	15	1	1	25	24	25

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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	Mike Condon	IceHogs (CHI)	49	26	17	4	0.894	3.30	2801	2	1	154	1450	0	1	3	0.722	18	49	0	2	1	0
Stats d'équipe Total ou en Moyenne			49	26	17	4	0.894	3.30	2801	2	1	154	1450	0	1	3	0.722	18	49	0	2	1	0

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
C.J. Smith	IceHogs (CHI)	LW	24	1994-12-01	No	184 Lbs	5 ft11	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Lien / Lien NHL
Chris Bigras	IceHogs (CHI)	D	24	1995-02-22	No	191 Lbs	6 ft1	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Lien / Lien NHL
Chris Terry	IceHogs (CHI)	LW/RW	30	1989-04-07	No	191 Lbs	5 ft10	No	No	No	1	Pro & Farm	675,000$	0$	0$	No			Lien / Lien NHL
Curtis McKenzie	IceHogs (CHI)	LW	28	1991-02-22	No	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien / Lien NHL
Dante Fabbro	IceHogs (CHI)	D	21	1998-06-20	No	189 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,491,666$	0$	0$	No	1,491,666$		Lien
Dysin Mayo	IceHogs (CHI)	D	23	1996-08-17	No	194 Lbs	6 ft1	No	No	No	1	Pro & Farm	715,000$	0$	0$	No			Lien / Lien NHL
Gabriel Vilardi	IceHogs (CHI)	C	20	1999-08-16	No	201 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,627,500$	0$	0$	No	1,627,500$	1,627,500$	Lien
Jansen Harkins	IceHogs (CHI)	C	22	1997-05-23	No	182 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Jaret Anderson-Dolan	IceHogs (CHI)	C	20	1999-09-12	No	188 Lbs	5 ft11	No	No	No	3	Pro & Farm	913,333$	0$	0$	No	913,333$	913,333$	Lien
Jesperi Kotkaniemi	IceHogs (CHI)	C	19	2000-07-06	No	198 Lbs	6 ft2	No	No	No	2	Pro & Farm	3,425,000$	0$	0$	No	3,425,000$		Lien / Lien NHL
Kristian Vesalainen	IceHogs (CHI)	LW/RW	20	1999-06-01	No	207 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,460,833$	0$	0$	No	1,460,833$	1,460,833$	Lien / Lien NHL
Michael Amadio	IceHogs (CHI)	C/RW	23	1996-05-13	No	204 Lbs	6 ft1	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Lien / Lien NHL
Michael Sgarbossa	IceHogs (CHI)	C	27	1992-07-25	No	185 Lbs	6 ft0	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Lien / Lien NHL
Mike Condon	IceHogs (CHI)	G	29	1990-04-27	No	196 Lbs	6 ft2	No	No	No	1	Pro & Farm	2,400,000$	0$	0$	No			Lien / Lien NHL
Nic Petan	IceHogs (CHI)	C/LW/RW	24	1995-03-22	No	175 Lbs	5 ft9	No	No	No	2	Pro & Farm	775,000$	0$	0$	No	775,000$		Lien / Lien NHL
Nicolas Roy	IceHogs (CHI)	C/RW	22	1997-02-05	No	200 Lbs	6 ft4	No	No	No	1	Pro & Farm	815,000$	0$	0$	No			Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
16	23.50	193 Lbs	6 ft1	1.81	1,173,333$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Nic Petan		Michael Amadio	30	1	2	2
2	Kristian Vesalainen	Michael Sgarbossa	Chris Terry	30	1	2	2
3	Curtis McKenzie	Jansen Harkins	Gabriel Vilardi	25	1	2	2
4	C.J. Smith	Gabriel Vilardi		15	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dante Fabbro	Chris Bigras	30	1	2	2
2	Dysin Mayo	Jaret Anderson-Dolan	30	1	2	2
3	C.J. Smith		25	1	2	2
4	Dante Fabbro	Chris Bigras	15	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Nic Petan		Michael Amadio	60	1	2	2
2	Kristian Vesalainen	Michael Sgarbossa	Chris Terry	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dante Fabbro	Chris Bigras	60	1	2	2
2	Dysin Mayo	Jaret Anderson-Dolan	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Michael Amadio	60	1	2	2
2	Nic Petan	Michael Sgarbossa	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dante Fabbro	Chris Bigras	60	1	2	2
2	Dysin Mayo		40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2	Dante Fabbro	Chris Bigras	60	1	2	2
2	Michael Amadio	40	1	2	2	Dysin Mayo		40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Michael Amadio	60	1	2	2
2	Nic Petan	Michael Sgarbossa	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dante Fabbro	Chris Bigras	60	1	2	2
2	Dysin Mayo		40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nic Petan		Michael Amadio	Dante Fabbro	Chris Bigras

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nic Petan		Michael Amadio	Dante Fabbro	Chris Bigras

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Curtis McKenzie, Jansen Harkins, Kristian Vesalainen	Curtis McKenzie, Jansen Harkins	Kristian Vesalainen

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Dysin Mayo, Dante Fabbro, Chris Bigras	Dysin Mayo	Dante Fabbro, Chris Bigras

Tirs de Pénalité
, Michael Amadio, Nic Petan, Michael Sgarbossa, Kristian Vesalainen

Gardien
#1 : Mike Condon, #2 :

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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	Admirals	3	0	2	0	0	0	0	1	6	12	-6	1	0	0	0	0	0	0	1	3	4	-1	2	0	2	0	0	0	0	0	3	8	-5	1	0.167	6	11	17	0	0	110	69	46	4	111	742	723	783	35	99	25	14	63	5	1	20.00%	6	2	66.67%	2	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
2	Americans	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	3	4	7	1	0	110	69	46	4	99	742	723	783	35	51	14	4	45	5	0	0.00%	2	0	100.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
3	Barracuda	3	2	0	0	0	0	1	0	17	11	6	2	2	0	0	0	0	0	0	10	5	5	1	0	0	0	0	0	1	0	7	6	1	6	1.000	17	28	45	0	0	110	69	46	4	113	742	723	783	35	84	30	12	52	8	2	25.00%	6	1	83.33%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
4	Bears	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	1	0	110	69	46	4	52	742	723	783	35	26	10	2	26	1	1	100.00%	1	0	100.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
5	Bruins	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	5	4	1	4	1.000	9	14	23	0	0	110	69	46	4	78	742	723	783	35	59	28	10	52	7	1	14.29%	5	2	60.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
6	Checkers	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	110	69	46	4	45	742	723	783	35	23	6	6	14	2	0	0.00%	3	0	100.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
7	Comets	4	4	0	0	0	0	0	0	44	8	36	1	1	0	0	0	0	0	0	11	3	8	3	3	0	0	0	0	0	0	33	5	28	8	1.000	44	80	124	0	0	110	69	46	4	337	742	723	783	35	81	23	12	91	5	2	40.00%	6	0	100.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
8	Condors	2	2	0	0	0	0	0	0	20	3	17	2	2	0	0	0	0	0	0	20	3	17	0	0	0	0	0	0	0	0	0	0	0	4	1.000	20	35	55	0	0	110	69	46	4	178	742	723	783	35	28	17	10	43	2	0	0.00%	4	1	75.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
9	Crunch	1	0	1	0	0	0	0	0	2	7	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	7	-5	0	0.000	2	4	6	0	0	110	69	46	4	41	742	723	783	35	49	9	6	30	3	1	33.33%	3	1	66.67%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
10	Devils	1	1	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	8	5	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	14	22	0	0	110	69	46	4	38	742	723	783	35	40	12	4	14	2	1	50.00%	2	0	100.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
11	Eagles	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	110	69	46	4	50	742	723	783	35	24	13	0	25	2	0	0.00%	0	0	0.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
12	Griffins	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	110	69	46	4	43	742	723	783	35	36	12	10	13	4	1	25.00%	4	0	100.00%	1	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
13	Gulls	2	0	2	0	0	0	0	0	4	13	-9	1	0	1	0	0	0	0	0	1	9	-8	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	4	6	10	0	0	110	69	46	4	81	742	723	783	35	87	25	10	45	5	1	20.00%	5	2	60.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
14	Heat	1	0	1	0	0	0	0	0	6	8	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	6	8	-2	0	0.000	6	9	15	0	0	110	69	46	4	48	742	723	783	35	52	15	6	26	1	0	0.00%	3	1	66.67%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
15	Monsters	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	5	8	0	0	110	69	46	4	30	742	723	783	35	36	9	7	25	1	0	0.00%	1	0	100.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
16	Moose	1	1	0	0	0	0	0	0	10	0	10	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	10	0	10	2	1.000	10	20	30	0	1	110	69	46	4	81	742	723	783	35	17	5	2	27	0	0	0.00%	1	0	100.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
17	Penguins	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	7	4	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	13	20	0	0	110	69	46	4	50	742	723	783	35	41	9	6	23	3	1	33.33%	3	1	66.67%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
18	Phantoms	3	0	2	0	0	0	1	0	13	14	-1	2	0	1	0	0	0	1	0	11	11	0	1	0	1	0	0	0	0	0	2	3	-1	2	0.333	13	22	35	0	0	110	69	46	4	119	742	723	783	35	128	45	12	74	7	5	71.43%	6	1	83.33%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
19	Rampage	3	1	1	0	0	0	0	1	7	8	-1	2	1	0	0	0	0	0	1	5	4	1	1	0	1	0	0	0	0	0	2	4	-2	3	0.500	7	11	18	0	0	110	69	46	4	122	742	723	783	35	125	39	8	63	6	0	0.00%	4	0	100.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
20	Roadrunners	3	2	1	0	0	0	0	0	12	14	-2	1	1	0	0	0	0	0	0	6	4	2	2	1	1	0	0	0	0	0	6	10	-4	4	0.667	12	22	34	0	0	110	69	46	4	121	742	723	783	35	106	38	12	84	12	1	8.33%	6	2	66.67%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
21	Rocket	1	0	0	0	0	1	0	0	3	4	-1	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	4	7	0	0	110	69	46	4	30	742	723	783	35	31	7	9	22	3	0	0.00%	2	0	100.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
22	Senators	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	9	14	0	0	110	69	46	4	53	742	723	783	35	21	4	2	23	5	2	40.00%	1	0	100.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
23	Sound Tigers	2	0	2	0	0	0	0	0	7	9	-2	1	0	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	7	12	19	0	0	110	69	46	4	71	742	723	783	35	72	21	10	45	7	1	14.29%	4	1	75.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
24	Stars	3	1	2	0	0	0	0	0	9	11	-2	1	1	0	0	0	0	0	0	5	3	2	2	0	2	0	0	0	0	0	4	8	-4	2	0.333	9	17	26	1	0	110	69	46	4	104	742	723	783	35	111	39	24	50	9	2	22.22%	11	2	81.82%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
25	Thunderbirds	1	1	0	0	0	0	0	0	6	2	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	2	4	2	1.000	6	8	14	0	0	110	69	46	4	46	742	723	783	35	27	15	2	22	0	0	0.00%	1	0	100.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
	Total	49	24	19	0	0	1	2	3	227	177	50	25	13	7	0	0	1	1	3	118	91	27	24	11	12	0	0	0	1	0	109	86	23	56	0.571	227	394	621	3	1	110	69	46	4	2267	742	723	783	35	1585	521	220	1097	111	24	21.62%	100	20	80.00%	3	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
26	Wild	2	1	1	0	0	0	0	0	8	9	-1	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	5	4	1	2	0.500	8	15	23	0	0	110	69	46	4	71	742	723	783	35	75	26	10	59	3	1	33.33%	5	1	80.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
27	Wolf Pack	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	3	5	0	0	110	69	46	4	31	742	723	783	35	21	10	2	18	0	0	0.00%	1	0	100.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
28	Wolves	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	110	69	46	4	24	742	723	783	35	35	15	8	23	3	0	0.00%	4	2	50.00%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
	_Since Last GM Reset	49	24	19	0	0	1	2	3	227	177	50	25	13	7	0	0	1	1	3	118	91	27	24	11	12	0	0	0	1	0	109	86	23	56	0.571	227	394	621	3	1	110	69	46	4	2267	742	723	783	35	1585	521	220	1097	111	24	21.62%	100	20	80.00%	3	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
	_Vs Conference	27	12	11	0	0	0	1	3	112	103	9	14	8	3	0	0	0	0	3	62	49	13	13	4	8	0	0	0	1	0	50	54	-4	29	0.537	112	197	309	1	1	110	69	46	4	1177	742	723	783	35	915	308	133	598	61	9	14.75%	60	14	76.67%	3	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
	_Vs Division	16	4	5	0	0	0	0	3	105	63	42	8	2	2	0	0	0	0	3	50	30	20	8	2	3	0	0	0	0	0	55	33	22	11	0.344	105	183	288	0	0	110	69	46	4	902	742	723	783	35	473	163	70	364	36	6	16.67%	34	9	73.53%	0	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318

			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
49	56	L1	227	394	621	2267	1585	521	220	1097	3	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
49	24	19	0	1	2	3	227	177

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
25	13	7	0	1	1	3	118	91

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
24	11	12	0	0	1	0	109	86

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	5	0	0	1	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
111	24	21.62%	100	20	80.00%	3

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
742	723	783	35	110	69	46	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
1155	1960	58.93%	858	1587	54.06%	490	870	56.32%

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
1340	991	1023	316	604	318

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
2 - 2020-10-06	8	Rampage	1	IceHogs	3	W			Sommaire du Match
4 - 2020-10-08	23	IceHogs	1	Stars	3	L			Sommaire du Match
6 - 2020-10-10	40	Wolves	6	IceHogs	2	L			Sommaire du Match
8 - 2020-10-12	54	IceHogs	11	Comets	2	W			Sommaire du Match
10 - 2020-10-14	71	IceHogs	5	Senators	3	W			Sommaire du Match
12 - 2020-10-16	83	Rampage	3	IceHogs	2	L	X	X	Sommaire du Match
14 - 2020-10-18	98	Barracuda	3	IceHogs	4	W			Sommaire du Match
15 - 2020-10-19	111	IceHogs	10	Moose	0	W			Sommaire du Match
19 - 2020-10-23	136	IceHogs	3	Gulls	4	L			Sommaire du Match
21 - 2020-10-25	147	Phantoms	6	IceHogs	5	L			Sommaire du Match
23 - 2020-10-27	164	Roadrunners	4	IceHogs	6	W			Sommaire du Match
24 - 2020-10-28	175	IceHogs	4	Roadrunners	2	W			Sommaire du Match
27 - 2020-10-31	193	IceHogs	1	Admirals	4	L			Sommaire du Match
29 - 2020-11-02	203	Sound Tigers	6	IceHogs	5	L			Sommaire du Match
32 - 2020-11-05	229	Condors	1	IceHogs	9	W			Sommaire du Match
35 - 2020-11-08	247	IceHogs	3	Stars	5	L			Sommaire du Match
37 - 2020-11-10	262	Monsters	4	IceHogs	3	L	X	X	Sommaire du Match
39 - 2020-11-12	277	IceHogs	7	Barracuda	6	W	X	X	Sommaire du Match
41 - 2020-11-14	292	Comets	3	IceHogs	11	W			Sommaire du Match
43 - 2020-11-16	311	IceHogs	2	Admirals	4	L			Sommaire du Match
44 - 2020-11-17	321	Admirals	4	IceHogs	3	L	X	X	Sommaire du Match
47 - 2020-11-20	339	IceHogs	2	Crunch	7	L			Sommaire du Match
48 - 2020-11-21	351	Griffins	2	IceHogs	4	W			Sommaire du Match
51 - 2020-11-24	370	IceHogs	2	Wolf Pack	1	W			Sommaire du Match
53 - 2020-11-26	385	Barracuda	2	IceHogs	6	W			Sommaire du Match
55 - 2020-11-28	403	IceHogs	5	Bruins	4	W			Sommaire du Match
57 - 2020-11-30	415	Condors	2	IceHogs	11	W			Sommaire du Match
59 - 2020-12-02	434	IceHogs	6	Heat	8	L			Sommaire du Match
60 - 2020-12-03	445	Checkers	2	IceHogs	4	W			Sommaire du Match
63 - 2020-12-06	462	IceHogs	2	Americans	4	L			Sommaire du Match
66 - 2020-12-09	477	Penguins	4	IceHogs	7	W			Sommaire du Match
69 - 2020-12-12	502	Rocket	4	IceHogs	3	L	X		Sommaire du Match
71 - 2020-12-14	517	IceHogs	2	Rampage	4	L			Sommaire du Match
73 - 2020-12-16	533	Stars	3	IceHogs	5	W			Sommaire du Match
75 - 2020-12-18	547	IceHogs	2	Roadrunners	8	L			Sommaire du Match
77 - 2020-12-20	561	IceHogs	4	Eagles	2	W			Sommaire du Match
79 - 2020-12-22	572	Bears	4	IceHogs	2	L			Sommaire du Match
82 - 2020-12-25	596	Bruins	1	IceHogs	4	W			Sommaire du Match
84 - 2020-12-27	612	IceHogs	12	Comets	1	W			Sommaire du Match
86 - 2020-12-29	625	IceHogs	2	Phantoms	3	L			Sommaire du Match
87 - 2020-12-30	636	Americans	2	IceHogs	1	L			Sommaire du Match
90 - 2021-01-02	654	IceHogs	6	Thunderbirds	2	W			Sommaire du Match
92 - 2021-01-04	668	Phantoms	5	IceHogs	6	W	X	X	Sommaire du Match
93 - 2021-01-05	681	IceHogs	10	Comets	2	W			Sommaire du Match
96 - 2021-01-08	699	Wild	5	IceHogs	3	L			Sommaire du Match
99 - 2021-01-11	719	Gulls	9	IceHogs	1	L			Sommaire du Match
101 - 2021-01-13	737	IceHogs	5	Wild	4	W			Sommaire du Match
103 - 2021-01-15	750	Devils	5	IceHogs	8	W			Sommaire du Match
105 - 2021-01-17	763	IceHogs	2	Sound Tigers	3	L			Sommaire du Match
107 - 2021-01-19	779	IceHogs	-	Wolves	-
109 - 2021-01-21	787	IceHogs	-	Marlies	-
110 - 2021-01-22	796	Heat	-	IceHogs	-
113 - 2021-01-25	817	Wolves	-	IceHogs	-
115 - 2021-01-27	833	IceHogs	-	Griffins	-
118 - 2021-01-30	851	Wolf Pack	-	IceHogs	-
120 - 2021-02-01	862	IceHogs	-	Moose	-
122 - 2021-02-03	877	IceHogs	-	Devils	-
124 - 2021-02-05	890	Heat	-	IceHogs	-
127 - 2021-02-08	909	IceHogs	-	Bears	-
128 - 2021-02-09	920	Thunderbirds	-	IceHogs	-
131 - 2021-02-12	937	IceHogs	-	Condors	-
132 - 2021-02-13	948	Senators	-	IceHogs	-
135 - 2021-02-16	967	IceHogs	-	Reign	-
137 - 2021-02-18	979	Rampage	-	IceHogs	-
139 - 2021-02-20	994	IceHogs	-	Gulls	-
140 - 2021-02-21	1009	Sound Tigers	-	IceHogs	-
143 - 2021-02-24	1032	Moose	-	IceHogs	-
146 - 2021-02-27	1047	IceHogs	-	Penguins	-
148 - 2021-03-01	1061	IceHogs	-	Reign	-
150 - 2021-03-03	1075	Reign	-	IceHogs	-
152 - 2021-03-05	1094	Rampage	-	IceHogs	-
154 - 2021-03-07	1109	IceHogs	-	Rocket	-
156 - 2021-03-09	1123	IceHogs	-	Stars	-
157 - 2021-03-10	1132	IceHogs	-	Wild	-
159 - 2021-03-12	1143	Crunch	-	IceHogs	-
162 - 2021-03-15	1165	Marlies	-	IceHogs	-
166 - 2021-03-19	1192	Roadrunners	-	IceHogs	-
167 - 2021-03-20	1197	IceHogs	-	Senators	-
171 - 2021-03-24	1220	Eagles	-	IceHogs	-
173 - 2021-03-26	1229	IceHogs	-	Monsters	-
174 - 2021-03-27	1231	IceHogs	-	Checkers	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
181 - 2021-04-03	1270	Eagles	-	IceHogs	-

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
16	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
1,070,849$	1,877,333$	1,122,583$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	1,070,849$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	76	10,315$	783,940$

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
2	82	25	45	0	1	2	1	8	290	366	-76	41	18	14	0	1	1	1	6	172	162	10	41	7	31	0	0	1	0	2	118	204	-86	50	290	510	800	3	0	125	76	87	5	2950	997	943	994	41	2537	742	815	1384	332	59	17.77%	332	72	78.31%	2	1564	2885	54.21%	1072	2168	49.45%	738	1488	49.60%	2009	1401	1907	598	1050	523
3	82	20	49	0	1	5	2	5	247	348	-101	41	12	22	0	0	3	1	3	125	167	-42	41	8	27	0	1	2	1	2	122	181	-59	40	247	410	657	0	2	93	81	70	6	3148	1005	1016	1080	68	2866	761	720	1365	362	57	15.75%	296	80	72.97%	2	1726	3064	56.33%	1283	2312	55.49%	788	1374	57.35%	2021	1433	1918	587	1029	510
4	82	52	18	0	0	2	3	7	266	180	86	41	27	9	0	0	0	2	3	139	87	52	41	25	9	0	0	2	1	4	127	93	34	104	266	481	747	2	11	114	72	77	6	2946	1010	952	964	68	2432	678	1220	1883	577	97	16.81%	515	72	86.02%	5	1674	3164	52.91%	1475	2951	49.98%	637	1240	51.37%	2051	1393	1890	639	1035	530
5	82	59	12	0	3	3	4	1	320	147	173	41	30	5	0	2	1	2	1	166	66	100	41	29	7	0	1	2	2	0	154	81	73	118	320	587	907	0	10	133	102	78	9	3324	1024	1156	1114	43	2156	614	555	2032	223	49	21.97%	240	31	87.08%	8	1933	3043	63.52%	1501	2519	59.59%	767	1258	60.97%	2258	1656	1689	541	1009	533
6	82	57	14	0	3	0	4	4	384	190	194	41	30	6	0	1	0	2	2	196	90	106	41	27	8	0	2	0	2	2	188	100	88	114	384	687	1071	0	11	163	122	92	9	3989	1363	1270	1333	51	2523	727	587	2084	219	35	15.98%	245	42	82.86%	7	2164	3495	61.92%	1646	2767	59.49%	798	1326	60.18%	2337	1734	1628	534	999	530
7	82	54	17	0	1	2	5	3	366	202	164	41	28	8	0	0	0	4	1	206	97	109	41	26	9	0	1	2	1	2	160	105	55	108	366	659	1025	0	5	152	124	84	9	3944	1284	1257	1376	53	2354	727	481	1882	210	53	25.24%	218	44	79.82%	3	2246	3519	63.82%	1614	2636	61.23%	884	1367	64.67%	2339	1739	1629	527	999	534
8	82	51	21	0	3	0	3	4	474	255	219	41	28	6	0	2	0	1	4	262	119	143	41	23	15	0	1	0	2	0	212	136	76	102	474	861	1335	0	2	187	158	123	8	4323	1393	1441	1466	44	2541	740	569	1875	181	47	25.97%	241	60	75.10%	5	2166	3329	65.06%	1613	2586	62.37%	968	1526	63.43%	2419	1837	1565	490	972	531
8	82	51	21	0	3	0	3	4	474	255	219	41	28	6	0	2	0	1	4	262	119	143	41	23	15	0	1	0	2	0	212	136	76	102	474	861	1335	0	2	187	158	123	8	4323	1393	1441	1466	44	2541	740	569	1875	181	47	25.97%	241	60	75.10%	5	2166	3329	65.06%	1613	2586	62.37%	968	1526	63.43%	2419	1837	1565	490	972	531
9	49	24	19	0	0	1	2	3	227	177	50	25	13	7	0	0	1	1	3	118	91	27	24	11	12	0	0	0	1	0	109	86	23	56	227	394	621	3	1	110	69	46	4	2267	742	723	783	35	1585	521	220	1097	111	24	21.62%	100	20	80.00%	3	1155	1960	58.93%	858	1587	54.06%	490	870	56.32%	1340	991	1023	316	604	318
Total Saison Régulière	705	393	216	0	15	15	27	39	3048	2120	928	353	214	83	0	8	6	15	27	1646	998	648	352	179	133	0	7	9	12	12	1402	1122	280	794	3048	5450	8498	8	44	1264	962	780	64	31214	10211	10199	10576	447	21535	6250	5736	15477	2396	468	19.53%	2428	481	80.19%	40	16794	27788	60.44%	12675	22112	57.32%	7038	11975	58.77%	19197	14026	14816	4726	8673	4544
Séries
4	13	6	7	0	0	0	0	0	36	34	2	7	4	3	0	0	0	0	0	21	16	5	6	2	4	0	0	0	0	0	15	18	-3	12	36	68	104	0	2	9	17	9	1	435	139	158	136	2	367	123	186	308	103	14	13.59%	84	12	85.71%	1	231	497	46.48%	212	454	46.70%	86	202	42.57%	305	199	305	108	170	85
5	16	10	6	0	0	0	0	0	45	33	12	8	5	3	0	0	0	0	0	24	17	7	8	5	3	0	0	0	0	0	21	16	5	20	45	79	124	0	1	24	9	10	2	611	202	176	188	45	513	155	149	395	55	10	18.18%	62	9	85.48%	0	398	655	60.76%	345	597	57.79%	124	246	50.41%	451	319	384	123	214	109
6	23	16	7	0	0	0	0	0	80	59	21	13	10	3	0	0	0	0	0	46	29	17	10	6	4	0	0	0	0	0	34	30	4	32	80	143	223	0	1	26	25	27	2	929	313	279	301	36	744	216	176	566	71	11	15.49%	76	6	92.11%	0	495	938	52.77%	442	868	50.92%	187	375	49.87%	593	415	530	171	305	152
7	6	2	4	0	0	0	0	0	16	16	0	3	1	2	0	0	0	0	0	7	8	-1	3	1	2	0	0	0	0	0	9	8	1	4	16	29	45	0	0	4	8	3	1	230	62	77	77	14	179	52	32	161	23	3	13.04%	16	4	75.00%	0	161	260	61.92%	121	207	58.45%	42	90	46.67%	165	116	135	46	84	43
8	13	6	7	0	0	0	0	0	36	32	4	7	4	3	0	0	0	0	0	24	15	9	6	2	4	0	0	0	0	0	12	17	-5	12	36	62	98	1	1	12	16	8	0	471	137	169	165	0	389	113	79	309	50	5	10.00%	36	6	83.33%	1	252	488	51.64%	233	448	52.01%	111	189	58.73%	313	215	302	98	165	81
Total Séries	71	40	31	0	0	0	0	0	213	174	39	38	24	14	0	0	0	0	0	122	85	37	33	16	17	0	0	0	0	0	91	89	2	80	213	381	594	1	5	75	75	57	6	2676	853	859	867	97	2192	659	622	1739	302	43	14.24%	274	37	86.50%	2	1537	2838	54.16%	1353	2574	52.56%	550	1102	49.91%	1829	1265	1657	548	939	472