OTHL - Heat

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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	Jack Roslovic	X		X		100.00	63	41	98	79	69	55	76	63	49	65	62	53	25	59	60	64	50	62	0
2	Brad Malone	X	X			100.00	87	46	91	66	76	53	77	60	58	50	55	79	25	65	66	63	50	62	0
3	Christoffer Ehn (R)	X	X	X		100.00	77	44	96	64	70	57	79	55	53	60	57	78	25	50	50	65	50	61	0
4	Taro Hirose (R)		X			100.00	57	39	93	63	59	70	48	62	25	90	59	62	25	44	44	65	50	61	0
5	Vinni Lettieri	X		X		100.00	80	44	84	72	70	56	90	62	52	57	56	61	25	47	47	62	50	61	0
6	Matthew Highmore		X	X		100.00	71	66	84	70	66	62	62	65	50	65	62	63	59	44	44	65	50	61	0
7	Tyrell Goulbourne (R)		X	X		100.00	63	70	46	64	70	77	84	53	50	47	54	56	51	44	44	56	50	56	0
8	Steven Santini				X	100.00	86	46	87	72	76	71	70	59	25	48	48	80	25	54	54	62	50	67	0
9	Samuel Morin (R)				X	100.00	81	79	86	64	79	61	63	53	25	50	41	65	39	44	44	55	50	60	0
10	Jordan Subban				X	100.00	69	62	84	68	62	63	66	51	25	46	41	59	39	46	46	54	50	57	0
11	Blake Hillman (R)				X	100.00	74	68	89	59	68	61	66	43	25	32	39	59	37	44	44	50	50	55	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	73	55	85	67	70	62	71	57	40	55	52	65	34	49	49	60	50	60

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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	Oscar Dansk	100.00	60	61	76	79	60	62	59	66	62	61	30	44	44	61	50	61	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	60	61	76	79	60	62	59	66	62	61	30	44	44	61	50	61

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Troy Mann	38	56	61	38	57	47	50	CAN	47	3	700,000$

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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

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#	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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Christoffer Ehn	Heat (CGY)	C/LW/RW	81	64	102	166	140	32	0	79	133	369	112	272	17.34%	35	1602	19.79	4	12	16	42	232	2	0	2	8	165	8	1	72.75%	690	0	3	2.07	0	1	0	0	0	7	13	5
2	Kyle Rau	Flames	C/LW	77	67	94	161	125	14	0	58	125	457	135	292	14.66%	21	1454	18.89	10	19	29	67	236	1	1	2	10	134	9	0	75.50%	1098	0	5	2.21	0	1	0	0	0	10	5	6
3	Jack Roslovic	Heat (CGY)	C/RW	80	41	106	147	139	12	0	64	143	268	67	188	15.30%	13	1567	19.59	4	7	11	26	228	0	0	0	3	74	4	1	67.36%	1737	1	1	1.88	3	3	0	0	0	3	7	8
4	Andre Burakovsky	Flames	LW/RW	59	65	77	142	132	22	0	76	67	364	85	246	17.86%	23	1244	21.09	4	4	8	35	163	1	0	1	7	93	10	0	54.32%	81	0	6	2.28	0	1	0	0	0	4	9	12
5	Taro Hirose	Heat (CGY)	LW	81	41	101	142	113	16	0	27	91	268	83	221	15.30%	15	1578	19.49	7	13	20	33	258	0	0	0	0	13	4	1	57.89%	95	0	2	1.80	0	0	0	0	0	3	6	5
6	Brad Malone	Heat (CGY)	C/LW	82	64	75	139	127	55	15	159	170	446	125	333	14.35%	26	1384	16.89	0	0	0	3	19	2	1	3	10	106	11	2	73.14%	875	0	6	2.01	0	2	1	0	2	10	4	10
7	Vinni Lettieri	Heat (CGY)	C/RW	82	48	87	135	124	56	0	138	106	368	93	255	13.04%	19	1414	17.25	3	6	9	18	93	0	2	2	8	70	5	1	68.65%	252	0	2	1.91	0	0	0	0	0	5	9	6
8	Matthew Highmore	Heat (CGY)	LW/RW	82	60	73	133	110	27	5	53	111	338	96	260	17.75%	11	1066	13.01	6	6	12	32	113	0	0	0	0	40	4	0	68.22%	365	1	7	2.49	0	0	1	0	0	7	9	3
9	Tyrell Goulbourne	Heat (CGY)	LW/RW	82	27	61	88	133	61	5	138	55	217	55	165	12.44%	21	1537	18.75	2	0	2	17	125	0	1	1	2	96	4	1	59.22%	103	0	0	1.14	0	0	0	0	1	2	1	4
10	Steven Santini	Heat (CGY)	D	51	9	52	61	69	30	0	95	38	89	32	87	10.11%	41	1030	20.20	3	9	12	41	163	0	2	2	0	120	2	0	0.00%	0	0	0	1.18	0	0	0	0	0	0	1	0
11	Jordan Subban	Heat (CGY)	D	82	16	40	56	126	60	0	109	32	88	28	49	18.18%	48	1632	19.91	4	8	12	30	237	0	0	0	2	154	1	0	50.00%	2	0	0	0.69	0	0	0	0	0	2	2	2
12	Samuel Morin	Heat (CGY)	D	61	11	35	46	89	51	15	84	31	67	22	50	16.42%	40	1259	20.65	2	4	6	22	199	0	1	1	1	136	0	0	0.00%	0	0	0	0.73	0	0	1	2	0	1	0	1
13	Blake Hillman	Heat (CGY)	D	82	7	28	35	114	53	15	110	14	75	24	43	9.33%	36	1552	18.93	3	5	8	30	232	0	0	0	0	172	0	0	0.00%	0	0	0	0.45	0	0	1	0	2	0	0	2
14	Kevin Labanc	Flames	LW/RW	2	1	1	2	0	0	0	4	2	5	1	7	20.00%	0	40	20.11	0	0	0	1	3	0	0	0	0	4	1	0	38.46%	13	0	0	0.99	0	1	0	0	0	0	1	0
Stats d'équipe Total ou en Moyenne				984	521	932	1453	1541	489	55	1194	1118	3419	958	2468	15.24%	349	18366	18.67	52	93	145	397	2306	6	8	14	51	1384	63	7	70.21%	5311	2	32	1.58	3	9	4	2	5	54	67	64

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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	Oscar Dansk	Heat (CGY)	82	72	7	2	0.902	1.58	4889	2	17	129	1318	0	6	0	0.714	14	82	0	2	0	1
Stats d'équipe Total ou en Moyenne			82	72	7	2	0.902	1.58	4889	2	17	129	1318	0	6	0	0.714	14	82	0	2	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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Blake Hillman	Heat (CGY)	D	24	1996-01-26	Yes	181 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Brad Malone	Heat (CGY)	C/LW	30	1989-05-20	No	207 Lbs	6 ft2	No	No	No	3	Pro & Farm	650,000$	0$	0$	No	650,000$	650,000$	Lien
Christoffer Ehn	Heat (CGY)	C/LW/RW	24	1996-04-05	Yes	181 Lbs	6 ft3	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Lien
Jack Roslovic	Heat (CGY)	C/RW	23	1997-01-28	No	187 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,106,666$	0$	0$	No	1,106,666$		Lien
Jordan Subban	Heat (CGY)	D	25	1995-03-03	No	175 Lbs	5 ft9	No	No	No	2	Pro & Farm	755,000$	0$	0$	No	755,000$		Lien
Matthew Highmore	Heat (CGY)	LW/RW	24	1996-02-27	No	181 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Oscar Dansk	Heat (CGY)	G	26	1994-02-28	No	195 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Samuel Morin	Heat (CGY)	D	24	1995-07-11	Yes	202 Lbs	6 ft6	No	No	No	3	Pro & Farm	1,363,333$	0$	0$	No	1,363,333$	1,363,333$	Lien
Steven Santini	Heat (CGY)	D	25	1995-03-07	No	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien
Taro Hirose	Heat (CGY)	LW	23	1996-06-30	Yes	161 Lbs	5 ft10	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Tyrell Goulbourne	Heat (CGY)	LW/RW	26	1994-01-25	Yes	195 Lbs	5 ft11	No	No	No	3	Pro & Farm	773,333$	0$	0$	No	773,333$	773,333$	Lien
Vinni Lettieri	Heat (CGY)	C/RW	25	1995-02-06	No	195 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
12	24.92	189 Lbs	6 ft1	2.25	926,944$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Taro Hirose	Jack Roslovic	Vinni Lettieri	40	0	0	5
2	Tyrell Goulbourne	Matthew Highmore	Christoffer Ehn	40	0	0	5
3	Brad Malone			10	0	0	5
4	Taro Hirose	Jack Roslovic	Christoffer Ehn	10	0	0	5

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Steven Santini	Samuel Morin	40	0	2	3
2	Jordan Subban	Blake Hillman	40	0	2	3
3			10	1	2	2
4	Steven Santini	Samuel Morin	10	0	0	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Taro Hirose	Jack Roslovic	Christoffer Ehn	91	0	0	5
2	Taro Hirose		Christoffer Ehn	9	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Steven Santini	Samuel Morin	60	0	0	5
2	Jordan Subban	Blake Hillman	40	0	0	5

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Christoffer Ehn	Jack Roslovic	60	0	5	0
2		Brad Malone	40	0	5	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Steven Santini	Samuel Morin	60	0	5	0
2	Jordan Subban	Blake Hillman	40	0	2	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Christoffer Ehn	60	0	5	0	Steven Santini	Samuel Morin	60	0	5	0
2	Jack Roslovic	40	0	5	0	Jordan Subban	Blake Hillman	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jack Roslovic	Taro Hirose	60	1	2	2
2	Brad Malone	Christoffer Ehn	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Steven Santini	Samuel Morin	60	1	2	2
2	Jordan Subban	Blake Hillman	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Taro Hirose	Jack Roslovic	Christoffer Ehn	Samuel Morin	Steven Santini

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jack Roslovic	Brad Malone	Christoffer Ehn	Samuel Morin	Steven Santini

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Matthew Highmore, Vinni Lettieri, Tyrell Goulbourne	Matthew Highmore, Vinni Lettieri	Tyrell Goulbourne

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jordan Subban, Blake Hillman, Steven Santini	Jordan Subban	Blake Hillman,

Tirs de Pénalité
Jack Roslovic, Steven Santini, , Brad Malone,

Gardien
#1 : Oscar Dansk, #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	Americans	2	0	1	0	1	0	0	0	7	8	-1	1	0	1	0	0	0	0	0	2	4	-2	1	0	0	0	1	0	0	0	5	4	1	2	0.500	7	10	17	0	0	266	187	135	4	37	1216	1264	1299	18	56	15	12	32	10	3	30.00%	6	0	100.00%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
2	Admirals	3	3	0	0	0	0	0	0	31	2	29	1	1	0	0	0	0	0	0	11	1	10	2	2	0	0	0	0	0	0	20	1	19	6	1.000	31	57	88	0	1	266	187	135	4	179	1216	1264	1299	18	44	13	12	65	7	2	28.57%	6	0	100.00%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
3	Barracudas	4	4	0	0	0	0	0	0	31	6	25	2	2	0	0	0	0	0	0	15	2	13	2	2	0	0	0	0	0	0	16	4	12	8	1.000	31	48	79	0	1	266	187	135	4	183	1216	1264	1299	18	54	15	20	73	16	1	6.25%	10	3	70.00%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
4	Bears	2	2	0	0	0	0	0	0	24	1	23	1	1	0	0	0	0	0	0	12	1	11	1	1	0	0	0	0	0	0	12	0	12	4	1.000	24	46	70	0	1	266	187	135	4	129	1216	1264	1299	18	17	4	8	28	4	2	50.00%	3	0	100.00%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
5	Bruins	2	2	0	0	0	0	0	0	15	7	8	1	1	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	8	2	6	4	1.000	15	23	38	0	0	266	187	135	4	71	1216	1264	1299	18	39	10	18	28	6	3	50.00%	7	2	71.43%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
6	Checkers	2	2	0	0	0	0	0	0	8	2	6	1	1	0	0	0	0	0	0	5	0	5	1	1	0	0	0	0	0	0	3	2	1	4	1.000	8	16	24	0	1	266	187	135	4	67	1216	1264	1299	18	34	9	19	27	13	1	7.69%	7	1	85.71%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
7	Comets	4	1	2	0	0	0	0	1	9	10	-1	2	1	1	0	0	0	0	0	6	5	1	2	0	1	0	0	0	0	1	3	5	-2	3	0.375	9	16	25	0	0	266	187	135	4	77	1216	1264	1299	18	95	20	36	59	25	2	8.00%	16	2	87.50%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
8	Condors	5	4	1	0	0	0	0	0	15	8	7	3	2	1	0	0	0	0	0	10	7	3	2	2	0	0	0	0	0	0	5	1	4	8	0.800	15	29	44	0	1	266	187	135	4	122	1216	1264	1299	18	99	31	44	76	36	4	11.11%	18	1	94.44%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
9	Crunch	2	1	0	0	0	0	1	0	5	2	3	1	0	0	0	0	0	1	0	3	2	1	1	1	0	0	0	0	0	0	2	0	2	4	1.000	5	6	11	0	1	266	187	135	4	66	1216	1264	1299	18	29	4	12	27	10	1	10.00%	6	2	66.67%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
10	Devils	2	2	0	0	0	0	0	0	18	3	15	1	1	0	0	0	0	0	0	11	1	10	1	1	0	0	0	0	0	0	7	2	5	4	1.000	18	32	50	0	0	266	187	135	4	129	1216	1264	1299	18	29	7	6	39	5	1	20.00%	3	1	66.67%	1	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
11	Eagles	3	3	0	0	0	0	0	0	39	1	38	1	1	0	0	0	0	0	0	12	0	12	2	2	0	0	0	0	0	0	27	1	26	6	1.000	39	69	108	0	2	266	187	135	4	200	1216	1264	1299	18	39	5	6	67	12	3	25.00%	3	0	100.00%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
12	Griffins	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	3	1	2	4	1.000	9	15	24	0	0	266	187	135	4	77	1216	1264	1299	18	35	10	14	22	9	2	22.22%	7	0	100.00%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
13	Gulls	4	4	0	0	0	0	0	0	25	7	18	2	2	0	0	0	0	0	0	13	6	7	2	2	0	0	0	0	0	0	12	1	11	8	1.000	25	42	67	0	1	266	187	135	4	161	1216	1264	1299	18	71	17	30	76	12	4	33.33%	14	1	92.86%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
14	IceHogs	3	2	1	0	0	0	0	0	20	7	13	2	1	1	0	0	0	0	0	11	6	5	1	1	0	0	0	0	0	0	9	1	8	4	0.667	20	36	56	0	0	266	187	135	4	118	1216	1264	1299	18	58	17	23	45	10	3	30.00%	8	1	87.50%	1	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
15	Marlies	2	2	0	0	0	0	0	0	16	3	13	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	11	1	10	4	1.000	16	29	45	0	0	266	187	135	4	76	1216	1264	1299	18	34	9	23	26	13	5	38.46%	8	1	87.50%	1	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
16	Monsters	2	1	1	0	0	0	0	0	10	9	1	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	8	6	2	2	0.500	10	15	25	0	0	266	187	135	4	45	1216	1264	1299	18	50	20	37	22	9	4	44.44%	16	6	62.50%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
17	Moose	3	3	0	0	0	0	0	0	8	1	7	2	2	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	3	0	3	6	1.000	8	15	23	0	2	266	187	135	4	108	1216	1264	1299	18	43	12	21	52	17	1	5.88%	8	0	100.00%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
18	Penguins	2	1	1	0	0	0	0	0	9	4	5	1	0	1	0	0	0	0	0	1	4	-3	1	1	0	0	0	0	0	0	8	0	8	2	0.500	9	16	25	0	1	266	187	135	4	78	1216	1264	1299	18	36	12	10	35	12	2	16.67%	5	0	100.00%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
19	Phantoms	2	2	0	0	0	0	0	0	20	1	19	1	1	0	0	0	0	0	0	11	1	10	1	1	0	0	0	0	0	0	9	0	9	4	1.000	20	34	54	0	1	266	187	135	4	112	1216	1264	1299	18	26	6	14	40	4	1	25.00%	7	0	100.00%	1	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
20	Rampage	3	3	0	0	0	0	0	0	38	9	29	2	2	0	0	0	0	0	0	27	6	21	1	1	0	0	0	0	0	0	11	3	8	6	1.000	38	69	107	0	0	266	187	135	4	232	1216	1264	1299	18	52	7	16	51	7	1	14.29%	8	2	75.00%	1	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
21	Reign	4	4	0	0	0	0	0	0	47	3	44	2	2	0	0	0	0	0	0	24	1	23	2	2	0	0	0	0	0	0	23	2	21	8	1.000	47	82	129	0	2	266	187	135	4	311	1216	1264	1299	18	29	16	15	70	6	1	16.67%	4	0	100.00%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
22	Roadrunners	4	4	0	0	0	0	0	0	45	4	41	2	2	0	0	0	0	0	0	22	2	20	2	2	0	0	0	0	0	0	23	2	21	8	1.000	45	81	126	0	0	266	187	135	4	231	1216	1264	1299	18	43	15	14	80	12	2	16.67%	6	1	83.33%	1	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
23	Rocket	2	0	1	0	0	0	0	1	5	7	-2	1	0	0	0	0	0	0	1	2	3	-1	1	0	1	0	0	0	0	0	3	4	-1	1	0.250	5	8	13	0	0	266	187	135	4	37	1216	1264	1299	18	38	11	18	27	13	0	0.00%	8	1	87.50%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
24	Senators	2	2	0	0	0	0	0	0	13	3	10	1	1	0	0	0	0	0	0	9	1	8	1	1	0	0	0	0	0	0	4	2	2	4	1.000	13	21	34	0	0	266	187	135	4	83	1216	1264	1299	18	38	11	12	45	4	0	0.00%	6	0	100.00%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
25	Sound Tigers	2	2	0	0	0	0	0	0	22	1	21	1	1	0	0	0	0	0	0	11	1	10	1	1	0	0	0	0	0	0	11	0	11	4	1.000	22	38	60	0	1	266	187	135	4	138	1216	1264	1299	18	21	2	2	39	9	1	11.11%	1	0	100.00%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
26	Stars	3	3	0	0	0	0	0	0	21	5	16	1	1	0	0	0	0	0	0	7	1	6	2	2	0	0	0	0	0	0	14	4	10	6	1.000	21	38	59	0	0	266	187	135	4	193	1216	1264	1299	18	32	9	29	83	9	2	22.22%	11	0	100.00%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
27	Thunderbirds	2	2	0	0	0	0	0	0	14	2	12	1	1	0	0	0	0	0	0	8	1	7	1	1	0	0	0	0	0	0	6	1	5	4	1.000	14	24	38	0	0	266	187	135	4	59	1216	1264	1299	18	53	19	15	24	9	1	11.11%	5	0	100.00%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
	Total	82	70	8	0	1	0	1	2	590	132	458	41	33	6	0	0	0	1	1	290	77	213	41	37	2	0	1	0	0	1	300	55	245	146	0.890	590	1032	1622	0	17	266	187	135	4	3784	1216	1264	1299	18	1331	373	569	1404	315	57	18.10%	241	29	87.97%	6	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
29	Wild	3	3	0	0	0	0	0	0	26	4	22	1	1	0	0	0	0	0	0	10	2	8	2	2	0	0	0	0	0	0	16	2	14	6	1.000	26	45	71	0	0	266	187	135	4	177	1216	1264	1299	18	37	15	32	62	4	1	25.00%	11	1	90.91%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
30	Wolf Pack	2	2	0	0	0	0	0	0	19	4	15	1	1	0	0	0	0	0	0	11	2	9	1	1	0	0	0	0	0	0	8	2	6	4	1.000	19	37	56	0	0	266	187	135	4	123	1216	1264	1299	18	33	6	18	38	0	0	0.00%	9	1	88.89%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
31	Wolves	4	4	0	0	0	0	0	0	21	5	16	2	2	0	0	0	0	0	0	11	4	7	2	2	0	0	0	0	0	0	10	1	9	8	1.000	21	35	56	0	1	266	187	135	4	165	1216	1264	1299	18	67	26	33	46	12	3	25.00%	14	2	85.71%	0	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
	_Since Last GM Reset	82	70	8	0	1	0	1	2	590	132	458	41	33	6	0	0	0	1	1	290	77	213	41	37	2	0	1	0	0	1	300	55	245	146	0.890	590	1032	1622	0	17	266	187	135	4	3784	1216	1264	1299	18	1331	373	569	1404	315	57	18.10%	241	29	87.97%	6	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
	_Vs Conference	48	44	3	0	1	0	0	0	374	70	304	24	21	3	0	0	0	0	0	180	43	137	24	23	0	0	1	0	0	0	194	27	167	90	0.938	374	656	1030	0	11	266	187	135	4	2417	1216	1264	1299	18	724	213	307	878	170	31	18.24%	127	12	90.55%	3	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504

			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
82	146	W3	590	1032	1622	3784	1331	373	569	1404	0	17

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	70	8	1	0	1	2	590	132

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	33	6	0	0	1	1	290	77

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	37	2	1	0	0	1	300	55

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
8	0	0	0	1	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
315	57	18.10%	241	29	87.97%	6

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
1216	1264	1299	18	266	187	135	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
1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%

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
2796	2247	1280	412	860	504

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 - 2019-10-05	7	Heat	16	Eagles	0	W			Sommaire du Match
4 - 2019-10-07	21	Comets	1	Heat	5	W			Sommaire du Match
7 - 2019-10-10	36	Reign	0	Heat	11	W			Sommaire du Match
9 - 2019-10-12	50	Heat	9	Stars	3	W			Sommaire du Match
11 - 2019-10-14	74	Heat	4	Wolves	1	W			Sommaire du Match
12 - 2019-10-15	76	Heat	8	Barracudas	2	W			Sommaire du Match
14 - 2019-10-17	85	Phantoms	1	Heat	11	W			Sommaire du Match
16 - 2019-10-19	100	Griffins	2	Heat	6	W			Sommaire du Match
18 - 2019-10-21	115	Heat	11	Reign	0	W			Sommaire du Match
19 - 2019-10-22	124	Heat	9	Gulls	0	W			Sommaire du Match
21 - 2019-10-24	135	Bears	1	Heat	12	W			Sommaire du Match
23 - 2019-10-26	146	Thunderbirds	1	Heat	8	W			Sommaire du Match
25 - 2019-10-28	169	Heat	3	Moose	0	W			Sommaire du Match
28 - 2019-10-31	181	Heat	3	Checkers	2	W			Sommaire du Match
30 - 2019-11-02	194	Heat	12	Admirals	0	W			Sommaire du Match
32 - 2019-11-04	208	Heat	8	Monsters	6	W			Sommaire du Match
33 - 2019-11-05	219	Heat	12	Bears	0	W			Sommaire du Match
35 - 2019-11-07	226	Roadrunners	1	Heat	14	W			Sommaire du Match
37 - 2019-11-09	239	Devils	1	Heat	11	W			Sommaire du Match
39 - 2019-11-11	253	Rampage	3	Heat	12	W			Sommaire du Match
43 - 2019-11-15	281	Stars	1	Heat	7	W			Sommaire du Match
46 - 2019-11-18	299	Heat	10	Roadrunners	1	W			Sommaire du Match
47 - 2019-11-19	315	Heat	6	Wolves	0	W			Sommaire du Match
49 - 2019-11-21	320	Eagles	0	Heat	12	W			Sommaire du Match
51 - 2019-11-23	344	Heat	11	Rampage	3	W			Sommaire du Match
53 - 2019-11-25	355	Heat	9	Phantoms	0	W			Sommaire du Match
55 - 2019-11-27	372	Heat	8	Penguins	0	W			Sommaire du Match
57 - 2019-11-29	378	Heat	5	Americans	4	W	X		Sommaire du Match
60 - 2019-12-02	404	Senators	1	Heat	9	W			Sommaire du Match
65 - 2019-12-07	441	Americans	4	Heat	2	L			Sommaire du Match
67 - 2019-12-09	454	Reign	1	Heat	13	W			Sommaire du Match
69 - 2019-12-11	468	Heat	11	Eagles	1	W			Sommaire du Match
70 - 2019-12-12	472	Heat	13	Roadrunners	1	W			Sommaire du Match
72 - 2019-12-14	490	Marlies	2	Heat	5	W			Sommaire du Match
74 - 2019-12-16	503	Checkers	0	Heat	5	W			Sommaire du Match
77 - 2019-12-19	525	Penguins	4	Heat	1	L			Sommaire du Match
79 - 2019-12-21	541	Rocket	3	Heat	2	L	X	X	Sommaire du Match
82 - 2019-12-24	565	Heat	5	Stars	1	W			Sommaire du Match
83 - 2019-12-25	572	Heat	6	Wild	1	W			Sommaire du Match
87 - 2019-12-29	586	Heat	3	Condors	1	W			Sommaire du Match
89 - 2019-12-31	606	Comets	4	Heat	1	L			Sommaire du Match
91 - 2020-01-02	617	IceHogs	1	Heat	7	W			Sommaire du Match
93 - 2020-01-04	630	Wolf Pack	2	Heat	11	W			Sommaire du Match
96 - 2020-01-07	656	Heat	10	Wild	1	W			Sommaire du Match
98 - 2020-01-09	665	Heat	9	IceHogs	1	W			Sommaire du Match
100 - 2020-01-11	680	Wild	2	Heat	10	W			Sommaire du Match
102 - 2020-01-13	694	Condors	1	Heat	3	W			Sommaire du Match
104 - 2020-01-15	709	Heat	3	Rocket	4	L			Sommaire du Match
107 - 2020-01-18	737	Heat	11	Marlies	1	W			Sommaire du Match
109 - 2020-01-20	751	Heat	4	Senators	2	W			Sommaire du Match
119 - 2020-01-30	775	Rampage	3	Heat	15	W			Sommaire du Match
120 - 2020-01-31	778	Heat	2	Condors	0	W			Sommaire du Match
123 - 2020-02-03	794	Condors	1	Heat	0	L			Sommaire du Match
126 - 2020-02-06	816	Barracudas	0	Heat	6	W			Sommaire du Match
128 - 2020-02-08	829	Admirals	1	Heat	11	W			Sommaire du Match
130 - 2020-02-10	851	Heat	1	Comets	2	L			Sommaire du Match
132 - 2020-02-12	863	Heat	8	Barracudas	2	W			Sommaire du Match
134 - 2020-02-14	878	Heat	12	Reign	2	W			Sommaire du Match
135 - 2020-02-15	880	Heat	3	Gulls	1	W			Sommaire du Match
137 - 2020-02-17	897	IceHogs	5	Heat	4	L			Sommaire du Match
139 - 2020-02-19	916	Gulls	3	Heat	7	W			Sommaire du Match
143 - 2020-02-23	943	Bruins	5	Heat	7	W			Sommaire du Match
145 - 2020-02-25	962	Heat	3	Griffins	1	W			Sommaire du Match
147 - 2020-02-27	970	Heat	8	Bruins	2	W			Sommaire du Match
149 - 2020-02-29	988	Heat	8	Admirals	1	W			Sommaire du Match
151 - 2020-03-02	1009	Heat	2	Crunch	0	W			Sommaire du Match
152 - 2020-03-03	1013	Heat	6	Thunderbirds	1	W			Sommaire du Match
155 - 2020-03-06	1029	Monsters	3	Heat	2	L			Sommaire du Match
157 - 2020-03-08	1044	Roadrunners	1	Heat	8	W			Sommaire du Match
159 - 2020-03-10	1060	Wolves	3	Heat	5	W			Sommaire du Match
163 - 2020-03-14	1085	Sound Tigers	1	Heat	11	W			Sommaire du Match
165 - 2020-03-16	1102	Moose	0	Heat	3	W			Sommaire du Match
167 - 2020-03-18	1121	Heat	8	Wolf Pack	2	W			Sommaire du Match
168 - 2020-03-19	1127	Heat	11	Sound Tigers	0	W			Sommaire du Match
170 - 2020-03-21	1142	Heat	7	Devils	2	W			Sommaire du Match
172 - 2020-03-23	1155	Crunch	2	Heat	3	W	X	X	Sommaire du Match
174 - 2020-03-25	1170	Barracudas	2	Heat	9	W			Sommaire du Match
176 - 2020-03-27	1185	Gulls	3	Heat	6	W			Sommaire du Match
178 - 2020-03-29	1203	Heat	2	Comets	3	L	X	X	Sommaire du Match
182 - 2020-04-02	1229	Moose	1	Heat	2	W			Sommaire du Match
184 - 2020-04-04	1244	Wolves	1	Heat	6	W			Sommaire du Match
186 - 2020-04-06	1260	Condors	5	Heat	7	W			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	50	0
Assistance	73,333	36,579
Assistance PCT	89.43%	89.22%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	2681 - 89.36%	87,298$	3,579,234$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,995,294$	1,112,333$	1,112,333$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
5,980$	1,295,362$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	9,744$	0$

Afficher ou Masquer des Colonnes

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	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
2019	82	70	8	0	1	0	1	2	590	132	458	41	33	6	0	0	0	1	1	290	77	213	41	37	2	0	1	0	0	1	300	55	245	146	590	1032	1622	0	17	266	187	135	4	3784	1216	1264	1299	18	1331	373	569	1404	315	57	18.10%	241	29	87.97%	6	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504
Total Saison Régulière	82	70	8	0	1	0	1	2	590	132	458	41	33	6	0	0	0	1	1	290	77	213	41	37	2	0	1	0	0	1	300	55	245	146	590	1032	1622	0	17	266	187	135	4	3784	1216	1264	1299	18	1331	373	569	1404	315	57	18.10%	241	29	87.97%	6	1891	2677	70.64%	1079	1648	65.47%	946	1376	68.75%	2796	2247	1280	412	860	504