Ligue de hockey Simulée Ste-Flanelle

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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	Ryan Callahan			X		100.00	68	56	81	76	57	76	91	69	43	68	70	69	66	70	61	0	21	68	0
2	Brooks Laich	X	X			100.00	61	35	88	69	69	66	92	52	80	53	50	73	53	70	61	0	49	62	0
3	Erik Condra		X	X		100.00	51	43	81	72	56	65	74	56	35	51	61	71	48	53	45	0	53	60	0
4	Brad Malone	X	X			100.00	73	66	67	67	72	54	55	46	64	44	48	64	48	45	41	0	45	55	0
5	Jim Slater	X				100.00	63	56	78	70	66	50	58	44	91	42	46	68	47	60	51	0	57	55	0
6	Landon Ferraro	X	X	X		100.00	65	50	85	71	58	56	49	48	35	43	52	67	48	42	37	0	62	55	0
7	Michael Latta	X		X		100.00	63	66	68	69	71	56	51	48	84	46	50	63	45	43	37	0	60	55	0
8	Christian Thomas (R)			X		100.00	52	43	86	73	51	53	36	49	35	51	46	60	48	41	38	0	65	53	0
9	Corey Tropp		X	X		100.00	60	56	69	71	58	49	55	47	49	47	46	57	47	42	37	0	64	53	0
10	Jesse Joensuu		X	X		100.00	66	35	80	64	75	51	37	46	35	42	49	58	47	47	43	0	75	53	0
11	Matt Frattin		X	X		100.00	49	43	85	70	71	48	36	46	49	43	47	61	44	46	41	0	72	52	0
12	Ryan Ellis				X	100.00	58	50	84	77	54	73	73	58	35	58	57	80	53	47	41	0	54	65	0
13	Simon Despres				X	100.00	78	50	80	60	73	74	59	47	35	50	43	78	45	48	43	0	53	62	0
14	Mark Borowiecki				X	100.00	97	67	59	64	68	64	68	41	35	40	41	72	48	44	41	0	61	61	0
15	Clayton Stoner				X	99.37	76	66	68	60	72	68	56	45	35	46	43	73	45	54	47	0	15	60	0
16	Brian Strait				X	100.00	65	43	81	63	68	68	63	45	35	45	45	75	48	48	44	0	53	60	0
17	Jeff Schultz				X	100.00	55	35	86	60	74	69	35	36	35	39	32	75	48	60	52	0	47	57	0
Rayé
1	Johan Franzen		X	X		97.00	58	35	74	61	83	68	44	70	47	75	64	54	53	73	65	0	32	63	0
2	Christopher Higgins		X			22.91	54	43	90	68	71	71	64	60	35	58	62	71	55	60	51	0	52	62	0
3	Erik Haula	X	X	X		100.00	58	35	86	74	65	60	67	58	85	55	61	78	48	47	38	0	72	62	0
4	Joakim Andersson	X	X	X		100.00	51	35	88	64	73	59	57	47	83	46	48	72	48	47	43	0	63	56	0
5	Miles Wood (R)		X			97.19	44	35	95	67	46	55	35	35	35	35	35	56	48	35	32	0	63	46	0

	MOYENNE D'ÉQUIPE					96.14	62	47	80	68	66	62	57	50	50	49	50	68	49	51	45	0	54	58

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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	Dustin Tokarski	100.00	45	45	76	76	46	46	47	47	45	95	70	44	41	0	27	53	0
2	Juuse Saros	100.00	45	45	55	64	45	45	45	45	45	65	70	35	32	0	18	48	0
Rayé
1	Thomas Greiss	98.00	67	53	91	87	68	59	61	69	56	82	94	49	46	0	20	65	0

	MOYENNE D'ÉQUIPE	99.33	52	48	74	76	53	50	51	54	49	81	78	43	40	0	22	55

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Patrick Roy	95	88	86	98	69	73	85	CAN	50	2	500,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Erik Condra	Caroline	LW/RW	81	23	18	41	1	24	10	43	81	129	0	17.83%	14	1179	14.56	1	3	4	14	103	2	1	3	8	283	3	0	31.71%	82	0	1	0	0.70	0	0	0	1	1	2	4	0
2	Ryan Callahan	Caroline	RW	74	18	22	40	-22	102	30	126	88	170	0	10.59%	10	1279	17.29	5	7	12	51	244	0	0	0	7	163	4	2	26.17%	149	0	0	0	0.63	2	6	0	4	2	3	1	0
3	Ryan Ellis	Caroline	D	67	13	24	37	-10	57	25	56	88	124	0	10.48%	73	1340	20.00	9	7	16	88	274	1	0	1	1	188	3	1	0.00%	0	0	0	0	0.55	0	0	3	1	1	0	2	2
4	Simon Despres	Caroline	D	82	6	26	32	-10	180	10	234	58	76	0	7.89%	94	1886	23.01	2	7	9	41	307	0	0	0	1	338	0	1	0.00%	0	0	0	0	0.34	0	0	0	0	1	3	1	3
5	Johan Franzen	Caroline	LW/RW	76	8	22	30	-13	44	0	102	49	117	0	6.84%	3	1244	16.37	2	7	9	30	265	0	0	0	6	111	0	1	40.28%	144	0	0	0	0.48	0	1	0	0	0	0	0	4
6	Christopher Higgins	Caroline	LW	61	12	13	25	1	16	0	21	55	104	0	11.54%	9	837	13.73	2	4	6	16	76	0	0	0	4	169	1	0	31.08%	74	0	0	0	0.60	0	2	0	0	0	0	4	2
7	Brooks Laich	Caroline	C/LW	77	6	18	24	-11	30	0	49	158	82	0	7.32%	16	1173	15.24	3	2	5	22	175	0	3	3	5	330	0	1	51.39%	1621	0	0	0	0.41	0	1	0	0	0	0	1	1
8	Brian Strait	Caroline	D	79	3	17	20	-10	58	0	58	60	65	0	4.62%	97	1601	20.27	2	5	7	35	261	0	0	0	0	297	1	0	0.00%	0	0	0	0	0.25	0	0	0	0	0	0	0	2
9	Erik Haula	Caroline	C/LW/RW	59	8	11	19	7	8	0	21	74	78	0	10.26%	10	627	10.64	1	4	5	11	50	1	1	2	2	142	2	0	49.24%	461	0	0	0	0.61	0	0	0	0	0	1	0	3
10	Mark Borowiecki	Caroline	D	82	6	8	14	0	283	55	273	51	41	0	14.63%	69	1363	16.62	3	1	4	16	116	0	0	0	0	148	0	0	0.00%	0	0	0	0	0.21	0	0	4	3	2	1	2	0
11	Clayton Stoner	Caroline	D	72	1	10	11	-13	91	5	97	45	30	0	3.33%	54	1109	15.42	0	1	1	6	46	0	0	0	1	120	0	0	0.00%	0	0	0	0	0.20	0	0	0	1	0	0	1	0
12	Corey Tropp	Caroline	LW/RW	23	4	6	10	-5	10	0	22	15	19	0	21.05%	3	236	10.29	0	0	0	0	14	0	0	0	0	5	1	0	36.36%	11	0	0	0	0.85	0	0	0	0	0	1	0	1
13	Jim Slater	Caroline	C	23	4	6	10	-2	21	5	25	39	24	0	16.67%	4	316	13.77	0	2	2	7	73	0	0	0	0	5	0	0	51.47%	373	0	0	0	0.63	0	0	0	0	1	0	0	1
14	Christian Thomas	Caroline	RW	28	2	7	9	-5	0	0	11	12	22	0	9.09%	3	221	7.90	0	1	1	1	4	0	0	0	0	1	0	0	18.18%	11	0	0	0	0.81	0	0	0	0	0	0	0	0
15	Landon Ferraro	Caroline	C/LW/RW	82	5	4	9	-14	41	5	54	53	59	0	8.47%	8	665	8.11	0	0	0	1	8	0	0	0	2	29	1	0	31.10%	164	0	0	0	0.27	0	0	1	0	0	0	0	1
16	Brad Malone	Caroline	C/LW	67	3	5	8	-9	50	0	103	33	44	0	6.82%	4	635	9.49	1	0	1	5	39	0	0	0	1	69	0	0	37.86%	206	0	1	0	0.25	0	0	0	0	0	0	0	0
17	Jeff Schultz	Caroline	D	34	1	6	7	-13	8	0	12	18	10	0	10.00%	34	521	15.34	0	1	1	1	8	0	0	0	0	56	1	0	0.00%	0	0	0	0	0.27	0	0	0	0	0	0	0	0
18	Joakim Andersson	Caroline	C/LW/RW	33	3	4	7	-9	2	0	7	37	34	0	8.82%	4	407	12.36	0	0	0	4	45	0	1	1	1	64	0	1	46.77%	263	0	0	0	0.34	0	0	0	0	0	0	0	1
19	Michael Latta	Caroline	C/RW	21	2	1	3	-3	12	0	23	25	16	0	12.50%	1	242	11.55	0	0	0	0	0	0	0	0	0	37	0	0	56.00%	100	0	0	0	0.25	0	0	0	0	0	0	0	0
20	Miles Wood	Caroline	LW	21	1	1	2	-7	2	0	0	5	3	0	33.33%	0	168	8.02	0	1	1	0	9	0	0	0	0	0	0	0	21.21%	33	0	0	0	0.24	0	0	0	0	0	0	0	0
21	Jesse Joensuu	Caroline	LW/RW	1	0	0	0	0	2	0	1	0	1	0	0.00%	0	16	16.13	0	0	0	1	5	0	0	0	0	0	0	0	0.00%	1	0	0	0	0.00	0	0	0	0	0	0	0	0
22	Matt Frattin	Caroline	LW/RW	1	0	0	0	0	0	0	0	0	1	0	0.00%	0	6	6.92	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne			1144	129	229	358	-147	1041	145	1338	1044	1249	0	10.33%	510	17082	14.93	31	53	84	350	2133	4	6	10	39	2563	17	7	46.55%	3693	0	2	0	0.42	2	10	8	10	8	11	16	21

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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	Thomas Greiss	Caroline	52	11	30	4	0.869	3.87	2837	2	1	183	1398	0	0	1	0.583	12	47	20	4	1	1
2	Dustin Tokarski	Caroline	7	1	5	0	0.861	5.03	298	0	0	25	180	0	1	0	0.000	0	5	29	0	0	0
3	Juuse Saros	Caroline	1	0	1	0	0.720	14.48	29	0	0	7	25	0	0	0	0.000	0	1	0	0	0	0
Stats d'équipe Total ou en Moyenne		60	12	36	4	0.866	4.08	3165	2	1	215	1603	0	1	1	0.583	12	53	49	4	1	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	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Link
Brad Malone	Caroline	C/LW	26	1989-05-20	No	207 Lbs	6 ft2	No	No	2	Avec Restriction	Pro & Farm	650,000$	650,000$					Lien
Brian Strait	Caroline	D	27	1988-01-04	No	206 Lbs	6 ft1	No	No	1	Avec Restriction	Pro & Farm	875,000$						Lien
Brooks Laich	Caroline	C/LW	32	1983-06-23	No	200 Lbs	6 ft2	No	No	3	Sans Restriction	Pro & Farm	3,300,000$	3,300,000$	3,300,000$				Lien
Christian Thomas	Caroline	RW	23	1992-05-26	Yes	175 Lbs	5 ft9	No	No	1	Avec Restriction	Pro & Farm	715,000$						Lien
Christopher Higgins (Sur la Masse Salariale)	Caroline	LW	32	1983-06-02	No	205 Lbs	6 ft0	No	No	4	Sans Restriction	Pro & Farm	2,450,000$	2,450,000$	2,450,000$	2,450,000$			Lien
Clayton Stoner	Caroline	D	30	1985-02-19	No	216 Lbs	6 ft4	No	No	6	Sans Restriction	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	2,000,000$	2,000,000$	2,000,000$	Lien
Corey Tropp	Caroline	LW/RW	26	1989-07-25	No	185 Lbs	6 ft0	No	No	6	Avec Restriction	Pro & Farm	600,000$	600,000$	600,000$	600,000$	600,000$	600,000$	Lien
Dustin Tokarski	Caroline	G	26	1989-09-16	No	205 Lbs	6 ft0	No	No	2	Avec Restriction	Pro & Farm	675,000$	675,000$					Lien
Erik Condra	Caroline	LW/RW	29	1986-08-06	No	183 Lbs	5 ft11	No	No	4	Avec Restriction	Pro & Farm	1,900,000$	1,900,000$	1,900,000$	1,900,000$			Lien
Erik Haula	Caroline	C/LW/RW	24	1991-03-23	No	193 Lbs	6 ft0	No	No	2	Avec Restriction	Pro & Farm	900,000$	900,000$					Lien
Jeff Schultz	Caroline	D	29	1986-02-25	No	217 Lbs	6 ft6	No	No	4	Avec Restriction	Pro & Farm	1,300,000$	1,300,000$	1,300,000$	1,300,000$			Lien
Jesse Joensuu	Caroline	LW/RW	28	1987-10-05	No	213 Lbs	6 ft4	No	No	1	Avec Restriction	Pro & Farm	700,000$						Lien
Jim Slater	Caroline	C	32	1982-12-09	No	195 Lbs	6 ft0	No	No	4	Sans Restriction	Pro & Farm	875,000$	875,000$	875,000$	875,000$			Lien
Joakim Andersson	Caroline	C/LW/RW	26	1989-02-05	No	211 Lbs	6 ft2	No	No	3	Avec Restriction	Pro & Farm	750,000$	750,000$	750,000$				Lien
Johan Franzen (Contrat à 1 Volet)	Caroline	LW/RW	35	1979-12-23	No	232 Lbs	6 ft4	Yes	No	2	Sans Restriction	Pro & Farm	4,300,011$	4,300,011$					Lien
Juuse Saros	Caroline	G	20	1995-04-19	No	180 Lbs	5 ft11	No	No	4	Contrat d'Entrée	Pro & Farm	667,000$	667,000$	667,000$	667,000$			Lien
Landon Ferraro	Caroline	C/LW/RW	24	1991-08-08	No	186 Lbs	6 ft0	No	No	2	Avec Restriction	Pro & Farm	675,000$	675,000$					Lien
Mark Borowiecki	Caroline	D	26	1989-07-12	No	205 Lbs	6 ft2	No	No	2	Avec Restriction	Pro & Farm	750,000$	750,000$					Lien
Matt Frattin	Caroline	LW/RW	27	1988-01-03	No	205 Lbs	6 ft0	No	No	1	Avec Restriction	Pro & Farm	800,000$						Lien
Michael Latta	Caroline	C/RW	24	1991-05-25	No	207 Lbs	6 ft0	No	No	2	Avec Restriction	Pro & Farm	550,000$	550,000$					Lien
Miles Wood	Caroline	LW	20	1995-09-13	Yes	160 Lbs	6 ft1	No	No	4	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	925,000$	925,000$			Lien
Ryan Callahan	Caroline	RW	30	1985-03-21	No	186 Lbs	5 ft10	No	No	4	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	5,000,000$	5,000,000$			Lien
Ryan Ellis	Caroline	D	24	1991-01-03	No	180 Lbs	5 ft10	No	No	4	Avec Restriction	Pro & Farm	3,700,000$	3,500,000$	4,600,000$	5,000,000$			Lien
Simon Despres	Caroline	D	24	1991-07-27	No	218 Lbs	6 ft4	No	No	3	Avec Restriction	Pro & Farm	2,000,000$	2,000,000$	2,000,000$				Lien
Thomas Greiss	Caroline	G	29	1986-01-29	No	228 Lbs	6 ft1	No	No	1	Avec Restriction	Pro & Farm	1,400,000$						Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
25	26.92	200 Lbs	6 ft1	2.88	1,538,280$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
38,457,011$	33,767,011$	26,367,000$	20,717,000$	2,600,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1		Brooks Laich	Ryan Callahan	40	1	2	2
2	Brad Malone	Landon Ferraro	Jesse Joensuu	30	1	2	2
3	Corey Tropp	Jim Slater	Erik Condra	20	1	2	2
4	Matt Frattin	Michael Latta	Christian Thomas	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Ellis	Simon Despres	40	1	2	2
2	Mark Borowiecki	Brian Strait	30	1	2	2
3	Clayton Stoner	Jeff Schultz	20	1	2	2
4	Ryan Ellis	Simon Despres	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1		Brooks Laich	Ryan Callahan	60	1	2	2
2	Jesse Joensuu	Jim Slater	Erik Condra	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Ellis	Simon Despres	60	1	2	2
2	Mark Borowiecki	Brian Strait	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Brooks Laich		60	1	2	2
2	Landon Ferraro	Ryan Callahan	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Ellis	Simon Despres	60	1	2	2
2	Mark Borowiecki	Brian Strait	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	Ryan Ellis	Simon Despres	60	1	2	2
2	Ryan Callahan	40	1	2	2	Mark Borowiecki	Brian Strait	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Brooks Laich	Ryan Callahan	60	1	2	2
2	Jim Slater		40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Ellis	Simon Despres	60	1	2	2
2	Mark Borowiecki	Brian Strait	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
	Brooks Laich	Ryan Callahan	Ryan Ellis	Simon Despres

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
	Brooks Laich	Ryan Callahan	Ryan Ellis	Simon Despres

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brooks Laich, Brad Malone, Michael Latta	Brooks Laich, Brad Malone	Michael Latta

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ryan Ellis, Simon Despres, Mark Borowiecki	Jeff Schultz	Simon Despres, Mark Borowiecki

Tirs de Pénalité
Ryan Callahan, , Brooks Laich, Erik Condra, Jim Slater

Gardien
#1 : Juuse Saros, #2 : Dustin Tokarski

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
Anaheim	2	1	0	0	1	0	0	0	7	5	2	1	1	0	0	0	0	0	0	4	3	1	1	0	0	0	1	0	0	0	3	2	1	4	1.000	7	11	18	0	0	2	2	2	1	64	15	23	23	3	66	18	30	34	12	1	8.33%	14	1	92.86%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	46	30	51	17	25	12
Atlanta	4	1	2	0	0	1	0	0	13	16	-3	2	0	1	0	0	1	0	0	7	9	-2	2	1	1	0	0	0	0	0	6	7	-1	3	0.375	13	22	35	0	0	5	4	4	0	110	33	30	45	2	92	30	51	64	21	2	9.52%	23	5	78.26%	1	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	95	65	96	33	52	25
Boston	3	1	2	0	0	0	0	0	7	9	-2	2	1	1	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	1	4	-3	2	0.333	7	11	18	0	0	4	3	0	0	84	31	28	25	0	100	21	45	58	17	3	17.65%	20	1	95.00%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	71	47	71	22	36	17
Buffalo	3	1	2	0	0	0	0	0	5	6	-1	2	1	1	0	0	0	0	0	3	3	0	1	0	1	0	0	0	0	0	2	3	-1	2	0.333	5	9	14	0	0	2	2	1	0	76	24	29	23	0	61	18	42	73	15	1	6.67%	21	5	76.19%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	64	41	76	24	38	17
Calgary	2	1	0	0	0	1	0	0	8	7	1	1	0	0	0	0	1	0	0	3	4	-1	1	1	0	0	0	0	0	0	5	3	2	3	0.750	8	14	22	0	0	1	4	3	0	58	17	22	14	5	67	21	31	36	10	4	40.00%	10	1	90.00%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	43	28	53	16	28	12
Philadelphie	5	0	3	0	0	1	1	0	10	22	-12	2	0	1	0	0	0	1	0	5	5	0	3	0	2	0	0	1	0	0	5	17	-12	3	0.300	10	18	28	0	0	4	2	3	1	121	33	38	49	3	128	33	70	97	28	2	7.14%	28	8	71.43%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	113	74	125	42	67	32
Chicago	2	0	1	0	0	0	1	0	6	6	0	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	0	0	1	0	4	3	1	2	0.500	6	8	14	0	0	3	1	1	2	43	16	17	9	3	57	13	31	32	12	0	0.00%	13	2	84.62%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	47	31	52	17	25	12
Colorado	2	0	2	0	0	0	0	0	2	11	-9	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	2	7	-5	0	0.000	2	4	6	0	0	1	0	1	0	43	14	12	17	0	71	20	50	33	11	2	18.18%	15	4	73.33%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	41	26	54	16	24	11
Kansas City	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	3	5	8	0	0	0	2	1	0	35	9	17	9	0	58	19	20	35	10	1	10.00%	9	1	88.89%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	39	24	54	18	25	11
Detroit	3	1	2	0	0	0	0	0	9	11	-2	2	1	1	0	0	0	0	0	7	8	-1	1	0	1	0	0	0	0	0	2	3	-1	2	0.333	9	13	22	0	0	3	4	2	0	65	26	19	20	0	79	22	46	61	13	2	15.38%	22	7	68.18%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	63	39	77	23	39	17
Edmonton	2	2	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	2	1	1	4	1.000	4	6	10	0	1	2	1	1	0	48	14	15	19	0	63	15	36	34	13	2	15.38%	11	0	100.00%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	46	30	48	15	24	12
Islanders	5	1	3	0	0	0	0	1	11	17	-6	3	1	1	0	0	0	0	1	8	11	-3	2	0	2	0	0	0	0	0	3	6	-3	3	0.300	11	21	32	0	0	3	6	2	1	109	32	45	30	9	153	44	68	102	24	3	12.50%	29	4	86.21%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	112	74	129	38	63	30
LA Kings	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	2	6	-4	2	0.500	7	14	21	0	0	4	2	1	0	51	24	14	13	0	56	16	21	45	6	2	33.33%	8	1	87.50%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	44	30	50	15	24	11
Minnesota	2	0	2	0	0	0	0	0	5	11	-6	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	5	8	13	1	0	1	1	3	0	47	11	16	20	0	74	25	36	38	10	0	0.00%	17	4	76.47%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	39	24	54	17	25	11
Hartford	4	2	1	0	0	0	1	0	8	9	-1	2	1	0	0	0	0	1	0	5	3	2	2	1	1	0	0	0	0	0	3	6	-3	6	0.750	8	12	20	0	1	4	3	0	1	97	36	39	19	5	103	28	52	89	17	2	11.76%	19	3	84.21%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	93	60	97	32	54	27
Ottawa	3	3	0	0	0	0	0	0	13	6	7	1	1	0	0	0	0	0	0	4	1	3	2	2	0	0	0	0	0	0	9	5	4	6	1.000	13	23	36	0	0	5	5	3	0	92	42	30	20	0	88	24	36	70	14	3	21.43%	17	2	88.24%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	69	46	71	23	39	18
Pittsburgh	4	0	4	0	0	0	0	0	5	19	-14	2	0	2	0	0	0	0	0	2	10	-8	2	0	2	0	0	0	0	0	3	9	-6	0	0.000	5	9	14	0	0	2	1	2	0	74	26	14	34	0	110	20	60	80	16	0	0.00%	27	7	74.07%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	87	55	100	33	52	24
Rangers	4	1	3	0	0	0	0	0	8	10	-2	2	0	2	0	0	0	0	0	3	6	-3	2	1	1	0	0	0	0	0	5	4	1	2	0.250	8	13	21	0	0	5	2	1	0	101	52	26	23	0	98	27	43	80	25	1	4.00%	20	4	80.00%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	95	62	91	30	52	27
San Jose	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	4	1.000	10	18	28	0	0	2	2	6	0	61	11	19	31	0	43	8	20	47	10	3	30.00%	10	1	90.00%	1	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	48	32	44	16	27	13
St-Louis	2	0	1	0	0	0	0	1	4	7	-3	1	0	1	0	0	0	0	0	2	4	-2	1	0	0	0	0	0	0	1	2	3	-1	1	0.250	4	7	11	0	0	1	2	1	0	33	10	10	12	4	77	25	44	44	7	1	14.29%	13	1	92.31%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	41	27	56	17	26	12
Tampa Bay	3	0	2	0	0	0	1	0	6	9	-3	1	0	0	0	0	0	1	0	3	2	1	2	0	2	0	0	0	0	0	3	7	-4	2	0.333	6	9	15	0	0	3	1	1	2	78	36	30	12	2	79	34	44	63	14	2	14.29%	17	3	82.35%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	66	44	78	23	39	19
Toronto	3	1	2	0	0	0	0	0	6	8	-2	2	1	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	2	0.333	6	9	15	0	0	3	2	1	0	88	27	38	23	0	72	25	42	68	13	1	7.69%	19	5	73.68%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	70	47	70	24	38	19
Vancouver	2	1	0	0	0	1	0	0	6	5	1	1	1	0	0	0	0	0	0	3	1	2	1	0	0	0	0	1	0	0	3	4	-1	3	0.750	6	10	16	0	0	3	2	1	0	47	12	17	17	1	58	17	25	42	9	1	11.11%	10	1	90.00%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	38	24	58	16	24	11
Quebec	3	2	1	0	0	0	0	0	10	11	-1	1	1	0	0	0	0	0	0	3	2	1	2	1	1	0	0	0	0	0	7	9	-2	4	0.667	10	16	26	0	0	4	4	2	0	66	21	27	18	0	94	30	32	47	12	2	16.67%	16	4	75.00%	1	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	59	39	82	23	37	17
Winnipeg	2	1	0	0	0	0	1	0	8	6	2	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	0	0	1	0	5	4	1	4	1.000	8	13	21	0	0	3	2	2	1	72	22	27	22	6	57	9	24	38	11	1	9.09%	10	3	70.00%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	53	37	45	15	26	13
Nashville	2	1	1	0	0	0	0	0	6	9	-3	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	1	7	-6	2	0.500	6	11	17	0	0	2	3	1	0	54	14	25	15	0	55	16	33	47	11	1	9.09%	11	4	63.64%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	44	28	47	16	27	13
Montreal	3	2	1	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	4	2	2	2	1	1	0	0	0	0	0	4	4	0	4	0.667	8	14	22	0	0	4	2	2	0	64	23	18	23	0	89	24	54	65	14	2	14.29%	20	2	90.00%	1	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	63	39	77	25	39	17
Washington	4	1	3	0	0	0	0	0	12	17	-5	2	1	1	0	0	0	0	0	8	8	0	2	0	2	0	0	0	0	0	4	9	-5	2	0.250	12	23	35	0	0	5	6	1	0	110	47	31	32	0	88	29	54	78	22	4	18.18%	25	6	76.00%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	104	71	81	31	54	26
Las Vegas	2	1	1	0	0	0	0	0	8	8	0	1	0	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	4	3	1	2	0.500	8	14	22	0	0	0	4	4	0	50	10	14	26	0	69	19	38	36	6	3	50.00%	19	3	84.21%	0	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	43	28	49	16	26	11
Vs Division	30	6	19	0	0	2	2	1	67	110	-43	15	3	8	0	0	1	2	1	38	52	-14	15	3	11	0	0	1	0	0	29	58	-29	19	0.317	67	118	185	0	1	28	24	13	3	722	259	223	232	19	772	211	398	590	153	14	9.15%	171	37	78.36%	1	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	702	464	722	243	396	194
Vs Conference	54	17	31	0	0	2	3	1	131	176	-45	27	10	12	0	0	1	3	1	71	79	-8	27	7	19	0	0	1	0	0	60	97	-37	43	0.398	131	222	353	0	1	56	47	25	5	1335	489	442	396	21	1434	409	739	1095	265	30	11.32%	323	66	79.57%	3	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	1230	809	1329	435	704	338
Since Last GM Reset	82	28	42	0	1	4	5	2	215	273	-58	41	17	18	0	0	2	3	1	113	120	-7	41	11	24	0	1	2	2	1	102	153	-51	74	0.451	215	365	580	1	2	81	75	53	9	2041	688	690	643	43	2305	650	1178	1636	403	52	12.90%	493	93	81.14%	4	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	1850	1216	2051	668	1068	510
Total	82	28	42	0	1	4	5	2	215	273	-58	41	17	18	0	0	2	3	1	113	120	-7	41	11	24	0	1	2	2	1	102	153	-51	74	0.451	215	365	580	1	2	81	75	53	9	2041	688	690	643	43	2305	650	1178	1636	403	52	12.90%	493	93	81.14%	4	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	1850	1216	2051	668	1068	510

			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	74	L9	215	365	580	2041	2305	650	1178	1636	1	2

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	28	42	1	4	5	2	215	273

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	17	18	0	2	3	1	113	120

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	11	24	1	2	2	1	102	153

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	9	0	0	0	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
403	52	12.90%	493	93	81.14%	4

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
688	690	643	43	81	75	53	9

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
1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%

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
1850	1216	2051	668	1068	510

Derniers Match Joués

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 - 2016-10-13	8	Caroline	5	Winnipeg	4	W	X	X	Sommaire du Match
5 - 2016-10-16	32	Caroline	3	Vancouver	4	L	X		Sommaire du Match
7 - 2016-10-18	48	Caroline	2	Edmonton	1	W			Sommaire du Match
9 - 2016-10-20	59	Caroline	5	Calgary	3	W			Sommaire du Match
11 - 2016-10-22	67	Caroline	2	Philadelphie	3	L	X		Sommaire du Match
14 - 2016-10-25	88	Caroline	2	Detroit	3	L			Sommaire du Match
17 - 2016-10-28	108	Rangers	2	Caroline	0	L			Sommaire du Match
19 - 2016-10-30	125	Philadelphie	3	Caroline	2	L			Sommaire du Match
21 - 2016-11-01	131	Caroline	5	Ottawa	3	W			Sommaire du Match
25 - 2016-11-05	170	Caroline	4	Las Vegas	3	W			Sommaire du Match
26 - 2016-11-06	176	Hartford	2	Caroline	3	W	X	X	Sommaire du Match
28 - 2016-11-08	183	Caroline	2	Hartford	0	W			Sommaire du Match
30 - 2016-11-10	205	Anaheim	3	Caroline	4	W			Sommaire du Match
32 - 2016-11-12	222	Washington	3	Caroline	2	L			Sommaire du Match
35 - 2016-11-15	235	San Jose	3	Caroline	5	W			Sommaire du Match
38 - 2016-11-18	258	Montreal	2	Caroline	4	W			Sommaire du Match
40 - 2016-11-20	273	Winnipeg	2	Caroline	3	W			Sommaire du Match
42 - 2016-11-22	286	Caroline	3	Toronto	4	L			Sommaire du Match
44 - 2016-11-24	300	Caroline	1	Montreal	3	L			Sommaire du Match
46 - 2016-11-26	314	Caroline	4	Ottawa	2	W			Sommaire du Match
47 - 2016-11-27	327	Quebec	2	Caroline	3	W			Sommaire du Match
49 - 2016-11-29	330	Caroline	3	Rangers	1	W			Sommaire du Match
51 - 2016-12-01	345	Caroline	1	Boston	4	L			Sommaire du Match
53 - 2016-12-03	367	Caroline	2	Rangers	3	L			Sommaire du Match
54 - 2016-12-04	371	Tampa Bay	2	Caroline	3	W	X	X	Sommaire du Match
57 - 2016-12-07	393	Caroline	3	Anaheim	2	W	X		Sommaire du Match
58 - 2016-12-08	404	Caroline	2	LA Kings	6	L			Sommaire du Match
60 - 2016-12-10	416	Caroline	5	San Jose	3	W			Sommaire du Match
63 - 2016-12-13	440	Vancouver	1	Caroline	3	W			Sommaire du Match
66 - 2016-12-16	455	Washington	5	Caroline	6	W			Sommaire du Match
67 - 2016-12-17	466	Buffalo	2	Caroline	1	L			Sommaire du Match
69 - 2016-12-19	477	Detroit	1	Caroline	3	W			Sommaire du Match
72 - 2016-12-22	495	Caroline	2	Buffalo	3	L			Sommaire du Match
73 - 2016-12-23	515	Boston	2	Caroline	4	W			Sommaire du Match
78 - 2016-12-28	528	Caroline	2	Pittsburgh	4	L			Sommaire du Match
80 - 2016-12-30	544	Chicago	3	Caroline	2	L			Sommaire du Match
81 - 2016-12-31	555	Caroline	0	Tampa Bay	3	L			Sommaire du Match
84 - 2017-01-03	567	Hartford	1	Caroline	2	W			Sommaire du Match
86 - 2017-01-05	581	Caroline	2	St-Louis	3	L	X	X	Sommaire du Match
87 - 2017-01-06	587	Caroline	4	Chicago	3	W	X	X	Sommaire du Match
89 - 2017-01-08	604	Boston	3	Caroline	2	L			Sommaire du Match
91 - 2017-01-10	613	Atlanta	4	Caroline	3	L	X		Sommaire du Match
94 - 2017-01-13	637	Buffalo	1	Caroline	2	W			Sommaire du Match
95 - 2017-01-14	646	Islanders	3	Caroline	2	L	X	X	Sommaire du Match
98 - 2017-01-17	664	Caroline	2	Atlanta	4	L			Sommaire du Match
101 - 2017-01-20	687	Pittsburgh	5	Caroline	1	L			Sommaire du Match
102 - 2017-01-21	691	Caroline	4	Atlanta	3	W			Sommaire du Match
104 - 2017-01-23	712	Caroline	1	Washington	5	L			Sommaire du Match
107 - 2017-01-26	729	LA Kings	2	Caroline	5	W			Sommaire du Match
112 - 2017-01-31	749	Philadelphie	2	Caroline	3	W	X	X	Sommaire du Match
115 - 2017-02-03	766	Edmonton	0	Caroline	2	W			Sommaire du Match
116 - 2017-02-04	777	Caroline	1	Islanders	3	L			Sommaire du Match
119 - 2017-02-07	793	Caroline	3	Washington	4	L			Sommaire du Match
123 - 2017-02-11	819	Caroline	2	Kansas City	4	L			Sommaire du Match
129 - 2017-02-17	856	Colorado	4	Caroline	0	L			Sommaire du Match
131 - 2017-02-19	872	Toronto	1	Caroline	2	W			Sommaire du Match
133 - 2017-02-21	884	Pittsburgh	5	Caroline	1	L			Sommaire du Match
136 - 2017-02-24	902	Ottawa	1	Caroline	4	W			Sommaire du Match
138 - 2017-02-26	913	Calgary	4	Caroline	3	L	X		Sommaire du Match
140 - 2017-02-28	930	Caroline	5	Quebec	4	W			Sommaire du Match
141 - 2017-03-01	934	Caroline	3	Tampa Bay	4	L			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2017-03-03	949	Nashville	2	Caroline	5	W			Sommaire du Match
145 - 2017-03-05	968	Caroline	1	Nashville	7	L			Sommaire du Match
147 - 2017-03-07	978	Caroline	2	Colorado	7	L			Sommaire du Match
149 - 2017-03-09	991	Rangers	4	Caroline	3	L			Sommaire du Match
151 - 2017-03-11	1006	Toronto	3	Caroline	1	L			Sommaire du Match
153 - 2017-03-13	1016	Caroline	2	Islanders	3	L			Sommaire du Match
154 - 2017-03-14	1031	Islanders	3	Caroline	5	W			Sommaire du Match
156 - 2017-03-16	1042	Minnesota	5	Caroline	3	L			Sommaire du Match
158 - 2017-03-18	1058	Las Vegas	5	Caroline	4	L			Sommaire du Match
159 - 2017-03-19	1069	Caroline	2	Philadelphie	6	L			Sommaire du Match
161 - 2017-03-21	1081	Caroline	2	Quebec	5	L			Sommaire du Match
163 - 2017-03-23	1092	Caroline	3	Montreal	1	W			Sommaire du Match
165 - 2017-03-25	1109	Caroline	1	Hartford	6	L			Sommaire du Match
168 - 2017-03-28	1129	Detroit	7	Caroline	4	L			Sommaire du Match
170 - 2017-03-30	1148	Atlanta	5	Caroline	4	L			Sommaire du Match
172 - 2017-04-01	1162	Kansas City	3	Caroline	1	L			Sommaire du Match
173 - 2017-04-02	1167	Caroline	1	Pittsburgh	5	L			Sommaire du Match
175 - 2017-04-04	1181	Caroline	2	Minnesota	6	L			Sommaire du Match
177 - 2017-04-06	1199	Islanders	5	Caroline	1	L			Sommaire du Match
179 - 2017-04-08	1214	St-Louis	4	Caroline	2	L			Sommaire du Match
180 - 2017-04-09	1225	Caroline	1	Philadelphie	8	L			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	140	82	64	42	299
Assistance	211159	177122	76651	156301	39218
Attendance PCT	85.84%	86.40%	93.48%	95.31%	95.65%

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	16109 - 89.49%	1,554,193$	63,721,910$	18000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
36,007,011$	36,507,011$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
48,213,088$	198,934$	47,710,300$	0$

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	201,696$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	50,023,195$	78,799,050$	78,799,050$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Johan Franzen	AGE:35	PO:0	OV:63
Christopher Higgins	AGE:32	PO:0	OV:62
Brooks Laich	AGE:32	PO:0	OV:62
Erik Haula	AGE:24	PO:0	OV:62
Erik Condra	AGE:29	PO:0	OV:60
Joakim Andersson	AGE:26	PO:0	OV:56
Brad Malone	AGE:26	PO:0	OV:55
Landon Ferraro	AGE:24	PO:0	OV:55
Corey Tropp	AGE:26	PO:0	OV:53
Jesse Joensuu	AGE:28	PO:0	OV:53
Jordan Nolan	AGE:26	PO:0	OV:53
Rich Clune	AGE:28	PO:0	OV:53
Matt Frattin	AGE:27	PO:0	OV:52
Raffi Torres	AGE:33	PO:0	OV:50
Christopher Bourque	AGE:29	PO:0	OV:46
*Miles Wood	AGE:20	PO:0	OV:46
*Yakov Trenin	AGE:18	PO:0	OV:46
*Beau Starrett	AGE:19	PO:0	OV:45

Brooks Laich	AGE:32	PO:0	OV:62
Erik Haula	AGE:24	PO:0	OV:62
Joakim Andersson	AGE:26	PO:0	OV:56
Brad Malone	AGE:26	PO:0	OV:55
Jim Slater	AGE:32	PO:0	OV:55
Landon Ferraro	AGE:24	PO:0	OV:55
Michael Latta	AGE:24	PO:0	OV:55
*Kevin Stenlund	AGE:19	PO:0	OV:46
*Yakov Trenin	AGE:18	PO:0	OV:46
*Beau Starrett	AGE:19	PO:0	OV:45
*Lukas Vejdemo	AGE:19	PO:0	OV:44
*Adam Musil	AGE:18	PO:0	OV:42
*Anthony Richard	AGE:18	PO:0	OV:41

Ryan Callahan	AGE:30	PO:0	OV:68
Johan Franzen	AGE:35	PO:0	OV:63
Erik Haula	AGE:24	PO:0	OV:62
Erik Condra	AGE:29	PO:0	OV:60
Joakim Andersson	AGE:26	PO:0	OV:56
Landon Ferraro	AGE:24	PO:0	OV:55
Michael Latta	AGE:24	PO:0	OV:55
*Christian Thomas	AGE:23	PO:0	OV:53
Corey Tropp	AGE:26	PO:0	OV:53
Jesse Joensuu	AGE:28	PO:0	OV:53
Jordan Nolan	AGE:26	PO:0	OV:53
Rich Clune	AGE:28	PO:0	OV:53
Matt Frattin	AGE:27	PO:0	OV:52
Troy Bodie	AGE:30	PO:0	OV:52
*Daniel Bernhardt	AGE:19	PO:0	OV:42
*Jaedon Descheneau	AGE:20	PO:0	OV:39

Défense #1

Défense #2

Gardien

Ryan Ellis	AGE:24	PO:0	OV:65
Simon Despres	AGE:24	PO:0	OV:62
Mark Borowiecki	AGE:26	PO:0	OV:61
Clayton Stoner	AGE:30	PO:0	OV:60
Brian Strait	AGE:27	PO:0	OV:60
Alex Biega	AGE:27	PO:0	OV:57
Jeff Schultz	AGE:29	PO:0	OV:57

Robert Bortuzzo	AGE:26	PO:0	OV:57
Nikita Nesterov	AGE:22	PO:0	OV:55
*Brandon Montour	AGE:21	PO:0	OV:45
*Blake Siebenaler	AGE:19	PO:0	OV:44
Bruno Gervais	AGE:31	PO:0	OV:42
Colten Teubert	AGE:25	PO:0	OV:39
Carl Sneep	AGE:27	PO:0	OV:38

Thomas Greiss	AGE:29	PO:0	OV:65
Dustin Tokarski	AGE:26	PO:0	OV:53
Justin Peters	AGE:29	PO:0	OV:53
Michael Leighton	AGE:34	PO:0	OV:50
Juuse Saros	AGE:20	PO:0	OV:48
*Felix Sandstrom	AGE:18	PO:0	OV:44
*Edward Pasquale	AGE:24	PO:0	OV:43

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total
Adam Werner	Caroline	2016	141
Brandon Gignac	Caroline	2016	84
Brett Murray	Caroline	2016	129
Casey Fitzgerald	Caroline	2016	99
Chad Krys	Caroline	2016	69
Christian Fischer	Caroline	2015	58
Dylan Strome	Caroline	2015	3
Hardy Haman Aktell	Caroline	2016	174
Kevin Labanc	Caroline	2015	81
Maxime Lajoie	Caroline	2016	188
Nicholas Caamano	Caroline	2016	189
Olli Juolevi	Caroline	2016	9
Samuel Girard	Caroline	2016	39
Tanner Kaspick	Caroline	2016	159
Vitaly Abramov	Caroline	2016	54

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2017	Car	Car Col	Car Ana Pit	Car KC Har			Edm
2018	Car	Car		Car	Car	Car Was	Car
2019	Car	Car	Car	Car	Car	Car	Car
2020	Car	Car	Car	Car	Car	Car	Car
2021	Car	Car	Car	Car	Car	Car	Car

[2016-09-16 21:11:29] - Michael Leighton was added to Caroline.
[2016-09-16 21:15:38] - Tomas Plekanec was added to Caroline.
[2016-09-16 21:15:39] - TRADE : From Tampa Bay to Caroline : Tomas Plekanec (71).
[2016-09-16 21:15:39] - TRADE : From Caroline to Tampa Bay : Kevan Miller (65), Y:2017-RND:5-Edm.
[2016-09-21 21:47:49] - Raffi Torres was added to Caroline.
[2016-09-25 19:27:35] - Unknown Player is no longer as assistant for Caroline.
[2016-09-25 19:27:35] - Tomas Plekanec has been selected as assistant for Caroline.
[2016-11-22 21:40:01] - Caroline show interest in Johan Franzen from waiver.
[2016-11-23 20:00:23] - Caroline claimed Johan Franzen from waivers by Kansas City for 0 $.
[2016-11-23 20:00:23] - Johan Franzen was added to Caroline.
[2016-12-23 09:51:42] - Christopher Higgins was added to Caroline.
[2016-12-23 09:51:43] - TRADE : From Caroline to Kansas City : Y:2017-RND:7-Car.
[2016-12-23 09:51:43] - TRADE : From Kansas City to Caroline : Christopher Higgins (62).
[2017-01-22 09:42:03] - General Manager Change : Caroline fired general manager David Hardy
[2017-01-22 09:42:03] - General Manager Change : Caroline hired general manager Olivier Pinho
[2017-01-25 20:09:54] - Ryan Callahan was added to Caroline.
[2017-01-25 20:09:55] - TRADE : From Kansas City to Caroline : Ryan Callahan (68), Christian Fischer (P), Kevin Labanc (P).
[2017-01-25 20:09:55] - TRADE : From Caroline to Kansas City : Marian Hossa (72), Johan Larsson (61), Y:2017-RND:6-Car, Y:2017-RND:6-Tam.
[2017-01-28 08:50:12] - Thomas Greiss was added to Caroline.
[2017-01-28 08:50:13] - TRADE : From Caroline to Las Vegas : Y:2017-RND:5-Car.
[2017-01-28 08:50:13] - TRADE : From Las Vegas to Caroline : Thomas Greiss (65).
[2017-01-28 08:50:41] - Erik Haula was added to Caroline.
[2017-01-28 08:50:42] - TRADE : From Caroline to Colorado : Tomas Plekanec (71).
[2017-01-28 08:50:42] - TRADE : From Colorado to Caroline : Erik Haula (62), Y:2017-RND:3-Ana, Y:2017-RND:2-Col.
[2017-01-28 08:51:42] - Caroline fired Scott Arniel.
[2017-01-28 08:51:44] - Caroline hired Patrick Roy for 500 000 $ for 2 year(s).
[2017-01-31 06:01:07] - Nikita Nesterov was added to Caroline.
[2017-01-31 06:01:08] - TRADE : From Pittsburgh to Caroline : Nikita Nesterov (55).
[2017-01-31 06:01:08] - TRADE : From Caroline to Pittsburgh : Torrey Mitchell (61).
[2017-02-04 14:30:45] - Juuse Saros was added to Caroline.
[2017-02-04 14:30:45] - Ryan Ellis was added to Caroline.
[2017-02-04 14:30:46] - TRADE : From Detroit to Caroline : Juuse Saros (48), Ryan Ellis (65), Dylan Strome (P), Olli Juolevi (P).
[2017-02-04 14:30:46] - TRADE : From Caroline to Detroit : Aaron Ekblad (66), Antti Raanta (63), Cody Ceci (66), Sam Bennett (59).
[2017-02-27 21:57:41] - Miles Wood was added to Caroline.
[2017-02-27 21:57:42] - TRADE : From Caroline to Nashville : Pavel Datsyuk (73).
[2017-02-27 21:57:42] - TRADE : From Nashville to Caroline : Miles Wood (46), Y:2017-RND:4-KC .
[2017-02-28 19:51:26] - Caroline show interest in Andrej Nestrasil from waiver.
[2017-02-28 20:20:20] - TRADE : From Caroline to Pittsburgh : Jay Beagle (61), Y:2018-RND:3-Car.
[2017-02-28 20:20:20] - TRADE : From Pittsburgh to Caroline : Y:2017-RND:4-Har, Y:2017-RND:3-Pit.
[2017-03-02 00:02:16] - TRADE : From Caroline to Detroit : Shawn Horcoff (63).
[2017-03-02 00:02:16] - TRADE : From Detroit to Caroline : Y:2017-RND:7-Edm.

Pas de Blessure ou de Suspension.

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
2016	82	28	42	0	1	4	5	2	215	273	-58	41	17	18	0	0	2	3	1	113	120	-7	41	11	24	0	1	2	2	1	102	153	-51	56	215	365	580	1	2	81	75	53	9	2041	688	690	643	43	2305	650	1178	1636	403	52	12.90%	493	93	81.14%	4	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	1850	1216	2051	668	1068	510
Total Saison Régulière	82	28	42	0	1	4	5	2	215	273	-58	41	17	18	0	0	2	3	1	113	120	-7	41	11	24	0	1	2	2	1	102	153	-51	56	215	365	580	1	2	81	75	53	9	2041	688	690	643	43	2305	650	1178	1636	403	52	12.90%	493	93	81.14%	4	1327	2652	50.04%	1437	2854	50.35%	687	1315	52.24%	1850	1216	2051	668	1068	510