OTHL - Griffins

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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	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Austin Wagner (R)	X	X		100.00	88	45	91	62	66	53	78	59	34	62	71	57	25	59	59	67	50	61	0
2	Martin Frk	X	X		100.00	77	44	95	71	75	54	71	64	25	63	56	52	25	47	47	61	50	59	0
3	Connor Clifton (R)			X	100.00	86	78	78	64	66	75	80	60	25	45	47	63	45	55	55	59	50	62	0
4	Anton Lindholm			X	100.00	77	71	90	68	71	65	70	46	25	36	39	64	37	56	56	52	50	59	0
Rayé

	MOYENNE D'ÉQUIPE				100.00	82	60	89	66	70	62	75	57	27	52	53	59	33	54	54	60	50	60

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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	Aaron Dell	100.00	54	57	56	73	59	50	55	58	57	54	95	53	53	56	50	57	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	54	57	56	73	59	50	55	58	57	54	95	53	53	56	50	57

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Marc Crawford	73	55	75	75	99	83	77	CAN	58	1	750,000$

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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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Martin Frk	Griffins (DET)	LW/RW	80	72	40	112	43	67	5	228	138	391	113	308	18.41%	75	1393	17.41	12	8	20	51	189	0	1	1	3	111	12	3	52.94%	119	5	1.61	3	8	0	1	0	12	6	5
2	Andrew Mangiapane	Red Wings	LW	54	63	42	105	56	14	0	104	109	352	98	246	17.90%	30	1035	19.18	14	5	19	52	124	1	0	1	8	114	5	3	66.26%	326	4	2.03	3	8	0	0	0	13	9	6
3	Colin McDonald	Red Wings	RW	57	44	60	104	64	73	5	197	99	322	94	238	13.66%	36	1096	19.24	8	13	21	46	136	0	1	1	7	106	4	3	72.65%	117	2	1.90	0	7	1	0	0	7	4	10
4	Austin Wagner	Griffins (DET)	LW/RW	56	52	43	95	46	48	0	199	81	353	101	230	14.73%	37	1001	17.89	11	8	19	45	130	2	0	2	5	85	7	1	52.73%	110	3	1.90	3	6	0	0	0	11	10	4
5	Anton Lindholm	Griffins (DET)	D	80	10	63	73	51	74	0	228	69	113	39	76	8.85%	73	1549	19.37	1	12	13	37	122	0	2	2	0	91	1	2	0.00%	0	0	0.94	1	2	0	0	0	1	6	6
6	Connor Clifton	Griffins (DET)	D	53	6	34	40	29	137	35	227	44	73	17	66	8.22%	33	998	18.83	1	5	6	25	75	1	0	1	1	51	0	0	100.00%	2	0	0.80	0	0	3	0	3	0	2	8
7	Paul Thompson	Red Wings	RW	3	3	2	5	4	0	0	4	2	19	9	7	15.79%	0	58	19.66	0	0	0	2	2	1	0	1	1	2	1	0	100.00%	6	0	1.70	0	0	0	0	0	0	0	1
8	Stefan Noesen	Red Wings	LW/RW	3	2	2	4	3	2	0	5	5	11	4	10	18.18%	1	61	20.38	0	0	0	1	2	0	0	0	0	4	0	0	75.00%	12	0	1.31	0	0	0	0	0	1	0	0
Stats d'équipe Total ou en Moyenne				386	252	286	538	296	415	45	1192	547	1634	475	1181	15.42%	285	7195	18.64	47	51	98	259	783	5	4	9	25	567	30	12	63.44%	692	14	1.50	10	31	4	1	3	45	37	40

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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	Aaron Dell	Griffins (DET)	76	42	25	7	0.906	2.90	4243	6	5	205	2180	0	1	0	0.684	38	76	0	3	6	4
Stats d'équipe Total ou en Moyenne			76	42	25	7	0.906	2.90	4243	6	5	205	2180	0	1	0	0.684	38	76	0	3	6	4

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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
Aaron Dell	Griffins (DET)	G	30	1989-05-04	No	200 Lbs	6 ft0	No	No	No	1	Pro & Farm	2,000,000$	0$	0$	No			Lien
Anton Lindholm	Griffins (DET)	D	25	1994-11-29	No	191 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien
Austin Wagner	Griffins (DET)	LW/RW	22	1997-06-23	Yes	178 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Lien
Connor Clifton	Griffins (DET)	D	24	1995-04-28	Yes	175 Lbs	5 ft11	No	No	No	3	Pro & Farm	735,000$	0$	0$	No	735,000$	735,000$	Lien
Martin Frk	Griffins (DET)	LW/RW	26	1993-10-04	No	205 Lbs	6 ft1	No	No	No	2	Pro & Farm	863,333$	0$	0$	No	863,333$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
5	25.40	190 Lbs	6 ft0	2.00	1,089,667$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Austin Wagner			40	1	2	2
2	Martin Frk			30	1	2	2
3				20	1	2	2
4	Austin Wagner		Martin Frk	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Connor Clifton	Anton Lindholm	40	1	2	2
2			30	1	2	2
3			20	1	2	2
4	Connor Clifton	Anton Lindholm	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Austin Wagner			60	1	2	2
2	Martin Frk			40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Connor Clifton	Anton Lindholm	60	1	2	2
2			40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Austin Wagner	60	1	2	2
2	Martin Frk		40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Connor Clifton	Anton Lindholm	60	1	2	2
2			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	Connor Clifton	Anton Lindholm	60	1	2	2
2	Austin Wagner	40	1	2	2			40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Austin Wagner	60	1	2	2
2	Martin Frk		40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Connor Clifton	Anton Lindholm	60	1	2	2
2			40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Austin Wagner			Connor Clifton	Anton Lindholm

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Austin Wagner			Connor Clifton	Anton Lindholm

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Martin Frk, , Austin Wagner	Martin Frk,	Austin Wagner

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Connor Clifton, Anton Lindholm,	Connor Clifton	Anton Lindholm,

Tirs de Pénalité
, Austin Wagner, Martin Frk, ,

Gardien
#1 : Aaron Dell, #2 :

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

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

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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	4	0	1	0	2	0	1	0	13	15	-2	2	0	0	0	1	0	1	0	8	6	2	2	0	1	0	1	0	0	0	5	9	-4	6	0.750	13	21	34	0	0	139	97	78	15	72	843	899	949	84	145	42	30	75	17	4	23.53%	15	3	80.00%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
2	Admirals	2	2	0	0	0	0	0	0	17	7	10	1	1	0	0	0	0	0	0	11	2	9	1	1	0	0	0	0	0	0	6	5	1	4	1.000	17	28	45	0	0	139	97	78	15	98	843	899	949	84	48	5	6	46	5	4	80.00%	3	0	100.00%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
3	Barracudas	2	1	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	3	1	2	2	0.500	5	8	13	0	0	139	97	78	15	62	843	899	949	84	64	9	8	44	7	0	0.00%	4	0	100.00%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
4	Bears	3	0	1	0	0	1	0	1	6	9	-3	2	0	0	0	0	1	0	1	5	7	-2	1	0	1	0	0	0	0	0	1	2	-1	2	0.333	6	10	16	0	0	139	97	78	15	74	843	899	949	84	108	28	22	75	11	1	9.09%	11	3	72.73%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
5	Bruins	4	0	1	0	0	0	2	1	14	16	-2	2	0	0	0	0	0	1	1	5	5	0	2	0	1	0	0	0	1	0	9	11	-2	5	0.625	14	23	37	0	0	139	97	78	15	145	843	899	949	84	130	34	32	89	14	3	21.43%	16	1	93.75%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
6	Checkers	3	0	3	0	0	0	0	0	7	14	-7	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	7	11	18	0	0	139	97	78	15	50	843	899	949	84	91	36	35	52	12	5	41.67%	15	1	93.33%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
7	Comets	2	1	1	0	0	0	0	0	3	10	-7	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	0	8	-8	2	0.500	3	6	9	0	0	139	97	78	15	29	843	899	949	84	75	24	12	21	5	0	0.00%	5	0	100.00%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
8	Condors	2	1	0	0	0	0	0	1	5	5	0	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	5	6	11	0	0	139	97	78	15	36	843	899	949	84	72	24	6	44	7	2	28.57%	2	0	100.00%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
9	Crunch	4	1	2	0	0	1	0	0	7	10	-3	2	1	0	0	0	1	0	0	3	2	1	2	0	2	0	0	0	0	0	4	8	-4	3	0.375	7	12	19	0	1	139	97	78	15	94	843	899	949	84	107	31	30	90	14	2	14.29%	10	2	80.00%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
10	Devils	3	3	0	0	0	0	0	0	25	3	22	1	1	0	0	0	0	0	0	8	0	8	2	2	0	0	0	0	0	0	17	3	14	6	1.000	25	41	66	0	2	139	97	78	15	153	843	899	949	84	68	13	10	77	7	4	57.14%	5	0	100.00%	1	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
11	Eagles	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	6	11	17	0	0	139	97	78	15	97	843	899	949	84	62	15	10	61	2	0	0.00%	5	0	100.00%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
12	Gulls	2	1	1	0	0	0	0	0	10	6	4	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	7	2	5	2	0.500	10	16	26	0	0	139	97	78	15	85	843	899	949	84	70	20	10	70	4	1	25.00%	4	0	100.00%	1	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
13	Heat	2	0	2	0	0	0	0	0	3	9	-6	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	3	5	8	0	0	139	97	78	15	35	843	899	949	84	77	24	18	42	7	0	0.00%	9	2	77.78%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
14	IceHogs	2	0	2	0	0	0	0	0	4	12	-8	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	8	-6	0	0.000	4	7	11	0	0	139	97	78	15	35	843	899	949	84	80	21	10	37	6	2	33.33%	6	2	66.67%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
15	Marlies	4	2	2	0	0	0	0	0	16	20	-4	2	0	2	0	0	0	0	0	5	15	-10	2	2	0	0	0	0	0	0	11	5	6	4	0.500	16	27	43	0	0	139	97	78	15	117	843	899	949	84	149	28	40	68	10	2	20.00%	17	5	70.59%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
16	Monsters	3	0	3	0	0	0	0	0	5	22	-17	1	0	1	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	1	15	-14	0	0.000	5	8	13	0	0	139	97	78	15	61	843	899	949	84	128	50	12	56	9	2	22.22%	6	1	83.33%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
17	Moose	2	1	0	0	0	0	0	1	5	4	1	1	0	0	0	0	0	0	1	2	3	-1	1	1	0	0	0	0	0	0	3	1	2	3	0.750	5	7	12	0	0	139	97	78	15	68	843	899	949	84	40	9	8	40	11	1	9.09%	2	0	100.00%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
18	Penguins	3	2	1	0	0	0	0	0	14	7	7	2	1	1	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	5	2	3	4	0.667	14	22	36	0	0	139	97	78	15	87	843	899	949	84	84	25	18	67	6	2	33.33%	8	0	100.00%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
19	Phantoms	3	1	2	0	0	0	0	0	9	11	-2	2	1	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	4	5	-1	2	0.333	9	16	25	0	0	139	97	78	15	109	843	899	949	84	104	29	19	74	12	2	16.67%	7	2	71.43%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
20	Rampage	2	2	0	0	0	0	0	0	11	3	8	1	1	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	5	2	3	4	1.000	11	20	31	0	0	139	97	78	15	101	843	899	949	84	41	19	4	46	4	1	25.00%	2	0	100.00%	1	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
21	Reign	2	2	0	0	0	0	0	0	18	5	13	1	1	0	0	0	0	0	0	10	2	8	1	1	0	0	0	0	0	0	8	3	5	4	1.000	18	32	50	0	0	139	97	78	15	113	843	899	949	84	67	12	6	41	6	0	0.00%	3	0	100.00%	1	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
22	Roadrunners	2	1	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	8	2	6	1	0	1	0	0	0	0	0	0	5	-5	2	0.500	8	13	21	0	0	139	97	78	15	74	843	899	949	84	82	28	15	52	4	1	25.00%	4	0	100.00%	1	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
23	Rocket	4	0	4	0	0	0	0	0	7	21	-14	2	0	2	0	0	0	0	0	5	11	-6	2	0	2	0	0	0	0	0	2	10	-8	0	0.000	7	12	19	0	0	139	97	78	15	74	843	899	949	84	161	47	58	57	22	3	13.64%	14	5	64.29%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
24	Senators	4	4	0	0	0	0	0	0	24	5	19	2	2	0	0	0	0	0	0	13	4	9	2	2	0	0	0	0	0	0	11	1	10	8	1.000	24	38	62	0	1	139	97	78	15	199	843	899	949	84	107	27	30	110	11	1	9.09%	13	0	100.00%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
25	Sound Tigers	3	3	0	0	0	0	0	0	20	4	16	1	1	0	0	0	0	0	0	8	3	5	2	2	0	0	0	0	0	0	12	1	11	6	1.000	20	34	54	0	1	139	97	78	15	169	843	899	949	84	76	22	11	81	4	1	25.00%	1	0	100.00%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
26	Stars	2	2	0	0	0	0	0	0	11	2	9	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	4	1	3	4	1.000	11	18	29	0	0	139	97	78	15	97	843	899	949	84	48	16	12	55	5	2	40.00%	4	0	100.00%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
27	Thunderbirds	4	1	2	0	0	0	1	0	15	16	-1	2	0	2	0	0	0	0	0	6	9	-3	2	1	0	0	0	0	1	0	9	7	2	4	0.500	15	23	38	0	0	139	97	78	15	103	843	899	949	84	128	28	37	77	20	4	20.00%	11	4	63.64%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
	Total	82	37	31	0	3	2	4	5	321	269	52	41	17	15	0	1	2	2	4	163	129	34	41	20	16	0	2	0	2	1	158	140	18	95	0.579	321	529	850	0	5	139	97	78	15	2736	843	899	949	84	2626	709	548	1836	251	51	20.32%	216	31	85.65%	5	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
29	Wild	2	2	0	0	0	0	0	0	12	2	10	1	1	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	6	1	5	4	1.000	12	19	31	0	0	139	97	78	15	103	843	899	949	84	76	11	10	59	1	0	0.00%	4	0	100.00%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
30	Wolf Pack	3	3	0	0	0	0	0	0	17	8	9	1	1	0	0	0	0	0	0	6	4	2	2	2	0	0	0	0	0	0	11	4	7	6	1.000	17	29	46	0	0	139	97	78	15	151	843	899	949	84	88	22	21	89	5	1	20.00%	8	0	100.00%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
31	Wolves	2	0	0	0	1	0	0	1	4	4	0	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	1	0	0	0	2	1	1	3	0.750	4	6	10	0	0	139	97	78	15	45	843	899	949	84	50	10	8	41	3	0	0.00%	2	0	100.00%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
	_Since Last GM Reset	82	37	31	0	3	2	4	5	321	269	52	41	17	15	0	1	2	2	4	163	129	34	41	20	16	0	2	0	2	1	158	140	18	95	0.579	321	529	850	0	5	139	97	78	15	2736	843	899	949	84	2626	709	548	1836	251	51	20.32%	216	31	85.65%	5	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
	_Vs Conference	50	21	22	0	0	2	3	2	189	176	13	25	9	11	0	0	2	1	2	88	87	1	25	12	11	0	0	0	2	0	101	89	12	52	0.520	189	312	501	0	5	139	97	78	15	1615	843	899	949	84	1604	444	387	1083	162	33	20.37%	147	24	83.67%	1	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
	_Vs Division	28	11	12	0	0	1	0	0	96	103	-7	14	5	5	0	0	1	0	0	45	52	-7	14	6	7	0	0	0	0	0	51	51	0	23	0.411	96	156	252	0	2	139	97	78	15	804	843	899	949	84	927	237	257	566	108	19	17.59%	96	20	79.17%	0	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416

			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	95	W3	321	529	850	2736	2626	709	548	1836	0	5

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	37	31	3	2	4	5	321	269

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	17	15	1	2	2	4	163	129

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	20	16	2	0	2	1	158	140

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	5	1	0	0	1

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
251	51	20.32%	216	31	85.65%	5

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
843	899	949	84	139	97	78	15

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
873	2155	40.51%	887	2340	37.91%	484	1268	38.17%

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
1938	1460	2158	510	875	416

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
4 - 2019-10-07	25	Griffins	6	Admirals	5	W			Sommaire du Match
5 - 2019-10-08	32	Stars	1	Griffins	7	W			Sommaire du Match
7 - 2019-10-10	37	Gulls	4	Griffins	3	L			Sommaire du Match
9 - 2019-10-12	51	Griffins	2	Rocket	6	L			Sommaire du Match
11 - 2019-10-14	66	Marlies	8	Griffins	2	L			Sommaire du Match
14 - 2019-10-17	89	Griffins	0	Comets	8	L			Sommaire du Match
16 - 2019-10-19	100	Griffins	2	Heat	6	L			Sommaire du Match
17 - 2019-10-20	109	Griffins	2	Condors	3	L	X	X	Sommaire du Match
21 - 2019-10-24	137	Comets	2	Griffins	3	W			Sommaire du Match
22 - 2019-10-25	143	Griffins	7	Senators	1	W			Sommaire du Match
24 - 2019-10-27	155	Americans	2	Griffins	3	W	X		Sommaire du Match
26 - 2019-10-29	171	Rampage	1	Griffins	6	W			Sommaire du Match
28 - 2019-10-31	183	Condors	2	Griffins	3	W			Sommaire du Match
31 - 2019-11-03	197	Griffins	4	Checkers	7	L			Sommaire du Match
32 - 2019-11-04	210	Griffins	5	Thunderbirds	4	W	X	X	Sommaire du Match
34 - 2019-11-06	221	Admirals	2	Griffins	11	W			Sommaire du Match
36 - 2019-11-08	236	Griffins	6	Wolf Pack	1	W			Sommaire du Match
38 - 2019-11-10	249	Bruins	1	Griffins	2	W	X	X	Sommaire du Match
40 - 2019-11-12	266	Wolves	3	Griffins	2	L	X	X	Sommaire du Match
42 - 2019-11-14	272	Griffins	7	Gulls	2	W			Sommaire du Match
44 - 2019-11-16	290	Griffins	8	Reign	3	W			Sommaire du Match
46 - 2019-11-18	310	Griffins	3	Barracudas	1	W			Sommaire du Match
49 - 2019-11-21	323	Senators	3	Griffins	9	W			Sommaire du Match
51 - 2019-11-23	336	Griffins	0	Monsters	4	L			Sommaire du Match
53 - 2019-11-25	354	Griffins	8	Devils	3	W			Sommaire du Match
54 - 2019-11-26	363	Checkers	5	Griffins	2	L			Sommaire du Match
57 - 2019-11-29	381	Marlies	7	Griffins	3	L			Sommaire du Match
59 - 2019-12-01	399	Griffins	4	Phantoms	5	L			Sommaire du Match
60 - 2019-12-02	406	Bears	3	Griffins	2	L	X		Sommaire du Match
62 - 2019-12-04	422	Sound Tigers	3	Griffins	8	W			Sommaire du Match
67 - 2019-12-09	456	Penguins	3	Griffins	2	L			Sommaire du Match
70 - 2019-12-12	483	Griffins	3	Moose	1	W			Sommaire du Match
72 - 2019-12-14	491	Moose	3	Griffins	2	L	X	X	Sommaire du Match
74 - 2019-12-16	507	Griffins	0	Rocket	4	L			Sommaire du Match
75 - 2019-12-17	516	Reign	2	Griffins	10	W			Sommaire du Match
77 - 2019-12-19	526	Monsters	7	Griffins	4	L			Sommaire du Match
81 - 2019-12-23	562	Griffins	5	Marlies	4	W			Sommaire du Match
82 - 2019-12-24	566	Roadrunners	2	Griffins	8	W			Sommaire du Match
88 - 2019-12-30	595	Griffins	4	Thunderbirds	3	W			Sommaire du Match
89 - 2019-12-31	611	Griffins	3	Crunch	5	L			Sommaire du Match
91 - 2020-01-02	619	Barracudas	5	Griffins	2	L			Sommaire du Match
94 - 2020-01-05	640	Griffins	4	Stars	1	W			Sommaire du Match
96 - 2020-01-07	655	Griffins	2	IceHogs	8	L			Sommaire du Match
98 - 2020-01-09	666	Rocket	7	Griffins	3	L			Sommaire du Match
101 - 2020-01-12	691	Senators	1	Griffins	4	W			Sommaire du Match
103 - 2020-01-14	704	Americans	4	Griffins	5	W	X	X	Sommaire du Match
105 - 2020-01-16	719	Griffins	5	Sound Tigers	0	W			Sommaire du Match
108 - 2020-01-19	741	Penguins	2	Griffins	7	W			Sommaire du Match
109 - 2020-01-20	745	Thunderbirds	4	Griffins	3	L			Sommaire du Match
111 - 2020-01-22	759	Griffins	2	Eagles	3	L			Sommaire du Match
113 - 2020-01-24	767	Griffins	6	Wild	1	W			Sommaire du Match
122 - 2020-02-02	788	Griffins	5	Wolf Pack	3	W			Sommaire du Match
123 - 2020-02-03	795	Wolf Pack	4	Griffins	6	W			Sommaire du Match
125 - 2020-02-05	809	Phantoms	2	Griffins	4	W			Sommaire du Match
128 - 2020-02-08	828	Griffins	5	Americans	4	W	X		Sommaire du Match
129 - 2020-02-09	839	Griffins	1	Monsters	11	L			Sommaire du Match
131 - 2020-02-11	856	Bruins	4	Griffins	3	L	X	X	Sommaire du Match
133 - 2020-02-13	867	Griffins	0	Americans	5	L			Sommaire du Match
135 - 2020-02-15	885	Griffins	9	Devils	0	W			Sommaire du Match
137 - 2020-02-17	896	Griffins	6	Bruins	5	W	X	X	Sommaire du Match
138 - 2020-02-18	912	Griffins	5	Penguins	2	W			Sommaire du Match
140 - 2020-02-20	920	Rocket	4	Griffins	2	L			Sommaire du Match
143 - 2020-02-23	947	Griffins	7	Sound Tigers	1	W			Sommaire du Match
145 - 2020-02-25	962	Heat	3	Griffins	1	L			Sommaire du Match
147 - 2020-02-27	972	Devils	0	Griffins	8	W			Sommaire du Match
149 - 2020-02-29	985	Wild	1	Griffins	6	W			Sommaire du Match
151 - 2020-03-02	1006	Griffins	4	Senators	0	W			Sommaire du Match
153 - 2020-03-04	1017	Eagles	3	Griffins	4	W			Sommaire du Match
157 - 2020-03-08	1045	IceHogs	4	Griffins	2	L			Sommaire du Match
159 - 2020-03-10	1062	Crunch	2	Griffins	1	L	X		Sommaire du Match
161 - 2020-03-12	1072	Checkers	2	Griffins	1	L			Sommaire du Match
163 - 2020-03-14	1092	Griffins	1	Bears	2	L			Sommaire du Match
165 - 2020-03-16	1107	Griffins	1	Crunch	3	L			Sommaire du Match
167 - 2020-03-18	1120	Thunderbirds	5	Griffins	3	L			Sommaire du Match
171 - 2020-03-22	1147	Griffins	0	Roadrunners	5	L			Sommaire du Match
172 - 2020-03-23	1163	Griffins	2	Wolves	1	W	X		Sommaire du Match
175 - 2020-03-26	1176	Griffins	3	Bruins	6	L			Sommaire du Match
177 - 2020-03-28	1193	Phantoms	4	Griffins	1	L			Sommaire du Match
179 - 2020-03-30	1209	Bears	4	Griffins	3	L	X	X	Sommaire du Match
182 - 2020-04-02	1236	Griffins	5	Rampage	2	W			Sommaire du Match
184 - 2020-04-04	1253	Griffins	6	Marlies	1	W			Sommaire du Match
186 - 2020-04-06	1262	Crunch	0	Griffins	2	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	40	0
Assistance	74,064	35,682
Assistance PCT	90.32%	87.03%

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	2677 - 89.22%	72,258$	2,962,560$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,378,662$	544,833$	544,833$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
2,929$	628,589$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	6,961$	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	37	31	0	3	2	4	5	321	269	52	41	17	15	0	1	2	2	4	163	129	34	41	20	16	0	2	0	2	1	158	140	18	95	321	529	850	0	5	139	97	78	15	2736	843	899	949	84	2626	709	548	1836	251	51	20.32%	216	31	85.65%	5	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416
Total Saison Régulière	82	37	31	0	3	2	4	5	321	269	52	41	17	15	0	1	2	2	4	163	129	34	41	20	16	0	2	0	2	1	158	140	18	95	321	529	850	0	5	139	97	78	15	2736	843	899	949	84	2626	709	548	1836	251	51	20.32%	216	31	85.65%	5	873	2155	40.51%	887	2340	37.91%	484	1268	38.17%	1938	1460	2158	510	875	416