LAAHS - Rangers

Hartford Wolf Pack
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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	Matt Duchene	X	X			100.00	63	41	96	93	70	80	95	79	97	86	89	57	70	76	77	82	68	76	0
2	Brayden Schenn	X	X	X		100.00	80	58	83	85	74	79	94	79	77	86	75	66	43	74	76	78	68	74	0
3	Kyle Connor	X	X			100.00	57	40	92	88	68	81	96	87	56	79	88	61	75	57	58	80	68	73	0
4	Justin Williams (A)			X		100.00	69	42	84	71	69	76	99	82	48	78	79	58	59	91	98	75	68	72	0
5	Nazem Kadri	X	X	X		100.00	77	54	83	83	70	73	94	81	91	79	73	57	45	71	72	74	68	71	0
6	Jason Zucker		X	X		100.00	76	43	89	86	67	75	99	77	30	71	77	59	41	68	70	75	68	70	0
7	Vinnie Hinostroza	X	X	X		100.00	75	42	93	81	61	70	90	73	42	76	73	70	75	59	59	75	68	69	0
8	Paul Byron		X	X		100.00	85	55	90	85	58	68	86	64	36	74	78	69	80	67	67	77	68	69	0
9	Oskar Sundqvist	X	X	X		100.00	79	45	90	81	77	67	78	62	69	68	71	82	25	56	57	74	71	68	0
10	Jason Spezza (C)	X				100.00	59	52	88	70	79	65	94	77	93	70	60	59	70	87	91	65	68	67	0
11	Johan Larsson	X	X			100.00	80	54	85	78	71	68	94	62	90	60	58	90	25	65	65	69	68	67	0
12	Pierre-Edouard Bellemare	X	X	X		100.00	73	43	97	79	71	63	91	59	89	61	58	76	25	66	68	66	68	65	0
13	Matt Niskanen				X	100.00	86	55	85	79	74	85	91	63	25	56	50	91	53	80	86	68	68	75	0
14	Erik Karlsson				X	100.00	71	43	87	93	70	91	79	88	44	89	48	73	61	76	78	70	68	74	0
15	Ron Hainsey				X	100.00	76	54	91	72	78	81	98	58	25	57	48	90	25	85	86	66	68	73	0
16	Dan Girardi				X	100.00	89	46	93	70	77	74	87	59	25	55	48	84	25	84	91	65	68	71	0
17	Ben Harpur				X	100.00	82	99	70	70	88	74	73	58	25	48	47	88	25	59	59	62	71	68	0
18	Caleb Jones				X	100.00	77	44	89	67	71	79	78	67	25	64	48	75	75	56	56	64	71	66	0
19	Jason Garrison				X	100.00	71	43	86	69	78	60	61	63	25	40	48	75	25	74	77	58	68	64	0
Rayé
1	Carter Verhaeghe	X				100.00	73	68	86	64	68	80	83	70	80	68	67	68	64	54	54	69	44	65	0

	MOYENNE D'ÉQUIPE					100.00	75	51	88	78	72	74	88	70	55	68	64	72	49	70	72	71	67	70

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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	Philipp Grubauer	100.00	81	66	65	73	86	77	66	81	86	81	78	59	60	78	67	73	0
2	Alexandar Georgiev	100.00	74	75	71	66	74	73	60	74	84	74	75	47	47	73	71	68	0
Rayé
1	Alex Nedeljkovic	100.00	67	80	99	70	63	70	64	72	66	66	30	44	44	68	39	65	0

	MOYENNE D'ÉQUIPE	100.00	74	74	78	70	74	73	63	76	79	74	61	50	50	73	59	69

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jon Cooper	91	93	99	58	82	76	83	CAN	36	3	1,100,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	P/20	PSG	PSS	S1	S2	S3
1	Matt Duchene	Rangers	C/LW	14	9	11	20	3	0	19	18	63	9	21	14.29%	7	280	20.05	1	4	5	8	38	0	5	3	0	59.89%	364	13	3	0	1.43	0	0	3	0	2
2	Kyle Connor	Rangers	C/LW	14	5	12	17	6	2	10	14	56	14	30	8.93%	9	269	19.23	1	3	4	4	35	0	3	0	0	38.18%	55	19	5	0	1.26	1	1	2	0	2
3	Nazem Kadri	Rangers	C/LW/RW	14	6	9	15	9	2	22	18	37	13	27	16.22%	5	244	17.44	0	1	1	1	26	0	0	1	0	58.99%	178	5	2	0	1.23	0	0	0	3	0
4	Brayden Schenn	Rangers	C/LW/RW	14	5	9	14	0	8	24	15	41	14	26	12.20%	7	284	20.30	1	0	1	6	38	1	7	0	1	47.62%	21	13	4	0	0.99	0	0	1	1	0
5	Erik Karlsson	Rangers	D	14	3	8	11	9	4	23	22	24	9	9	12.50%	18	340	24.31	2	2	4	4	40	0	10	0	0	0.00%	0	7	8	0	0.65	0	0	1	2	0
6	Justin Williams	Rangers	RW	14	7	4	11	6	2	20	18	31	5	13	22.58%	8	255	18.26	1	0	1	2	30	0	2	1	1	41.18%	17	2	8	0	0.86	0	0	0	0	1
7	Jason Zucker	Rangers	LW/RW	14	4	7	11	8	0	19	9	48	11	22	8.33%	4	223	15.97	0	0	0	0	5	0	0	2	0	50.00%	10	9	0	0	0.98	0	0	0	2	0
8	Ron Hainsey	Rangers	D	14	0	6	6	5	2	17	29	9	8	9	0.00%	19	316	22.60	0	0	0	0	25	0	19	0	0	0.00%	0	0	10	0	0.38	0	1	0	0	0
9	Johan Larsson	Rangers	C/LW	14	1	4	5	3	0	8	8	21	9	6	4.76%	4	137	9.79	0	0	0	0	0	0	15	0	0	52.46%	61	5	1	0	0.73	0	0	0	1	0
10	Pierre-Edouard Bellemare	Rangers	C/LW/RW	14	3	1	4	3	0	4	8	15	1	13	20.00%	4	138	9.88	0	0	0	0	2	0	11	1	1	60.00%	5	2	2	0	0.58	0	0	1	0	0
11	Dan Girardi	Rangers	D	14	0	4	4	4	2	25	28	17	3	9	0.00%	14	315	22.54	0	0	0	1	26	0	15	0	0	0.00%	0	2	10	0	0.25	0	0	0	0	0
12	Oskar Sundqvist	Rangers	C/LW/RW	14	2	2	4	5	2	17	8	25	11	25	8.00%	5	147	10.55	0	0	0	0	0	2	14	1	0	60.00%	5	7	0	1	0.54	0	0	1	0	0
13	Paul Byron	Rangers	LW/RW	14	2	1	3	-4	0	17	15	24	12	23	8.33%	2	189	13.52	0	0	0	1	22	0	7	1	0	66.67%	6	8	3	0	0.32	0	1	0	1	0
14	Vinnie Hinostroza	Rangers	C/LW/RW	14	2	0	2	-4	0	12	11	25	5	13	8.00%	2	169	12.07	0	0	0	0	2	0	3	0	0	16.67%	12	7	4	0	0.24	0	0	0	0	1
15	Ben Harpur	Rangers	D	14	0	2	2	-3	8	15	10	4	3	5	0.00%	13	186	13.31	0	0	0	0	0	0	10	0	0	0.00%	0	0	2	0	0.21	0	0	0	0	0
16	Matt Niskanen	Rangers	D	14	0	1	1	9	8	22	19	16	5	5	0.00%	18	303	21.69	0	0	0	0	8	0	15	0	0	0.00%	0	2	9	0	0.07	0	0	0	0	0
17	Caleb Jones	Rangers	D	14	0	1	1	-4	0	5	17	11	3	2	0.00%	14	209	15.00	0	0	0	2	32	0	2	0	0	0.00%	0	0	5	0	0.10	0	0	0	0	0
18	Jason Garrison	Rangers	D	14	0	0	0	-1	0	0	1	0	0	0	0.00%	0	18	1.34	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0.00	0	0	0	0	0
19	Jason Spezza	Rangers	C	14	0	0	0	-6	0	5	8	16	5	14	0.00%	5	149	10.70	0	0	0	0	0	0	0	0	0	53.66%	82	5	1	0	0.00	0	1	0	0	0
20	Carter Verhaeghe	Rangers	C	3	0	0	0	0	0	0	0	0	0	0	0.00%	0	2	0.70	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				269	49	82	131	48	40	284	276	483	140	272	10.14%	158	4181	15.55	6	10	16	29	337	3	148	10	3	55.64%	816	106	78	1	0.63	1	4	9	10	6

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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	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S3
1	Philipp Grubauer	Rangers	11	9	1	1	0.918	2.53	665	2	28	341	171	0	1.000	3	11	3	2	1
2	Alexandar Georgiev	Rangers	3	2	1	0	0.929	2.33	180	0	7	99	51	1	0.000	0	3	11	0	2
Stats d'équipe Total ou en Moyenne			14	11	2	1	0.920	2.49	845	2	35	440	222	1	1.000	3	14	14	2	3

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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	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Alex Nedeljkovic	Rangers	G	22	1996-01-07	No	189 Lbs	6 ft0	No	No	No	2	Contrat d'Entrée	Pro & Farm	737,500$	0$	0$	No	Lien
Alexandar Georgiev	Rangers	G	22	1996-02-10	No	176 Lbs	6 ft1	No	No	No	2	Contrat d'Entrée	Pro & Farm	792,500$	0$	0$	No	Lien
Ben Harpur	Rangers	D	23	1995-01-12	No	222 Lbs	6 ft6	No	No	No	1	Contrat d'Entrée	Pro & Farm	725,000$	0$	0$	No	Lien
Brayden Schenn	Rangers	C/LW/RW	26	1991-08-21	No	200 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	5,075,000$	0$	0$	No	Lien
Caleb Jones	Rangers	D	21	1997-06-06	No	192 Lbs	6 ft1	No	No	No	2	Contrat d'Entrée	Pro & Farm	790,000$	0$	0$	No	Lien
Carter Verhaeghe	Rangers	C	22	1995-08-14	No	181 Lbs	6 ft1	No	No	No	1	Contrat d'Entrée	Pro & Farm	700,000$	0$	0$	No	Lien
Dan Girardi	Rangers	D	34	1984-04-28	No	212 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	3,300,000$	0$	0$	No	Lien
Erik Karlsson	Rangers	D	28	1990-05-31	No	191 Lbs	6 ft0	No	No	No	5	Avec Restriction	Pro & Farm	11,500,000$	0$	0$	No	Lien
Jason Garrison	Rangers	D	33	1984-11-13	No	218 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	3,000,000$	0$	0$	No	Lien
Jason Spezza	Rangers	C	35	1983-06-13	No	214 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	700,000$	0$	0$	No	Lien
Jason Zucker	Rangers	LW/RW	26	1992-01-16	No	187 Lbs	5 ft11	No	No	No	4	Avec Restriction	Pro & Farm	5,500,000$	0$	0$	No	Lien
Johan Larsson (Sur la Masse Salariale)	Rangers	C/LW	25	1992-07-25	No	198 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	1,550,000$	0$	0$	Yes	Lien
Justin Williams	Rangers	RW	36	1981-10-04	No	188 Lbs	6 ft1	Yes	No	No	1	Sans Restriction	Pro & Farm	4,950,000$	0$	0$	No	Lien
Kyle Connor	Rangers	C/LW	21	1996-12-09	No	182 Lbs	6 ft1	No	No	No	1	Contrat d'Entrée	Pro & Farm	7,000,000$	0$	0$	No	Lien
Matt Duchene	Rangers	C/LW	27	1991-01-15	No	195 Lbs	5 ft11	No	No	No	5	Avec Restriction	Pro & Farm	8,000,000$	0$	0$	No	Lien
Matt Niskanen	Rangers	D	31	1986-12-06	No	203 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	5,750,000$	0$	0$	No	Lien
Nazem Kadri	Rangers	C/LW/RW	27	1990-10-06	No	190 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	4,075,000$	0$	0$	No	Lien
Oskar Sundqvist	Rangers	C/LW/RW	24	1994-03-23	No	209 Lbs	6 ft3	No	No	No	4	Contrat d'Entrée	Pro & Farm	2,750,000$	0$	0$	No	Lien
Paul Byron	Rangers	LW/RW	29	1989-04-26	No	162 Lbs	5 ft9	No	No	No	4	Sans Restriction	Pro & Farm	3,400,000$	0$	0$	No	Lien
Philipp Grubauer	Rangers	G	26	1991-11-21	No	191 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	3,333,333$	0$	0$	No	Lien
Pierre-Edouard Bellemare	Rangers	C/LW/RW	33	1985-03-05	No	198 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	1,800,000$	0$	0$	No	Lien
Ron Hainsey	Rangers	D	37	1981-03-24	No	205 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	3,500,000$	0$	0$	No	Lien
Vinnie Hinostroza	Rangers	C/LW/RW	24	1994-04-03	No	173 Lbs	5 ft9	No	No	No	1	Contrat d'Entrée	Pro & Farm	1,500,000$	0$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	27.48	195 Lbs	6 ft1	2.00	3,496,884$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
80,428,333$	44,353,333$	31,150,000$	31,150,000$	19,500,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Kyle Connor	Matt Duchene	Brayden Schenn	36	0	1	4
2	Jason Zucker	Nazem Kadri	Justin Williams	34	0	1	4
3	Paul Byron	Jason Spezza	Vinnie Hinostroza	20	0	3	2
4	Pierre-Edouard Bellemare	Johan Larsson	Oskar Sundqvist	10	0	4	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Erik Karlsson	Matt Niskanen	40	0	2	3
2	Dan Girardi	Ron Hainsey	40	0	2	3
3	Ben Harpur	Caleb Jones	20	0	2	3
4	Ben Harpur	Caleb Jones	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Kyle Connor	Matt Duchene	Brayden Schenn	60	0	2	3
2	Paul Byron	Nazem Kadri	Justin Williams	40	0	2	3

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Erik Karlsson	Caleb Jones	60	0	2	3
2	Ron Hainsey	Dan Girardi	40	0	2	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Johan Larsson	Oskar Sundqvist	60	0	3	2
2	Pierre-Edouard Bellemare	Vinnie Hinostroza	40	0	3	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Niskanen	Ron Hainsey	60	0	3	2
2	Ben Harpur	Dan Girardi	40	0	3	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Johan Larsson	60	0	3	2	Matt Niskanen	Ron Hainsey	60	0	3	2
2	Oskar Sundqvist	40	0	3	2	Dan Girardi	Ben Harpur	40	0	3	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nazem Kadri	Vinnie Hinostroza	60	1	2	2
2	Oskar Sundqvist	Paul Byron	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Erik Karlsson	Matt Niskanen	60	1	2	2
2	Ron Hainsey	Dan Girardi	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Kyle Connor	Matt Duchene	Brayden Schenn	Erik Karlsson	Matt Niskanen

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Pierre-Edouard Bellemare	Johan Larsson	Oskar Sundqvist	Ben Harpur	Ron Hainsey

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Nazem Kadri, Jason Zucker, Jason Spezza	Vinnie Hinostroza, Paul Byron	Paul Byron

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Erik Karlsson, Matt Niskanen, Ron Hainsey	Caleb Jones	Ben Harpur, Dan Girardi

Tirs de Pénalité
Kyle Connor, Paul Byron, Jason Spezza, Caleb Jones, Vinnie Hinostroza

Gardien
#1 : Philipp Grubauer, #2 : Alexandar Georgiev

Lignes d'Attaque Perso. en Prol.
Matt Duchene, Kyle Connor, Brayden Schenn, Jason Zucker, Nazem Kadri, Justin Williams, Justin Williams, Paul Byron, Vinnie Hinostroza, Oskar Sundqvist, Jason Spezza

Lignes de Défense Perso. en Prol.
Erik Karlsson, Matt Niskanen, Ron Hainsey, Dan Girardi, Ben Harpur

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	Blues	2	1	0	0	1	0	0	0	10	6	4	1	1	0	0	0	0	0	0	5	2	3	1	0	0	0	1	0	0	0	5	4	1	4	1.000	10	16	26	0	0	3	1	5	1	67	26	19	21	1	60	23	4	43	4	1	25.00%	2	0	100.00%	0	171	314	54.46%	170	291	58.42%	113	203	55.67%	49	30	36	14	34	19
2	Canadiens	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	6	10	16	0	0	0	2	4	0	65	8	30	27	0	74	25	6	39	4	0	0.00%	3	0	100.00%	0	171	314	54.46%	170	291	58.42%	113	203	55.67%	41	24	44	17	33	16
3	Golden Knights	2	1	0	0	1	0	0	0	8	5	3	1	1	0	0	0	0	0	0	5	3	2	1	0	0	0	1	0	0	0	3	2	1	4	1.000	8	11	19	0	0	1	1	5	1	67	24	20	22	1	62	22	6	39	5	1	20.00%	3	0	100.00%	0	171	314	54.46%	170	291	58.42%	113	203	55.67%	41	24	43	17	35	16
4	Islanders	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	4	2	2	4	1.000	7	14	21	0	0	3	3	1	0	76	24	36	16	0	62	24	4	38	10	1	10.00%	2	0	100.00%	0	171	314	54.46%	170	291	58.42%	113	203	55.67%	43	26	41	18	34	18
5	Maple Leafs	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	1	3	2	1.000	4	5	9	0	0	2	1	1	0	32	12	13	7	0	25	5	4	16	4	0	0.00%	2	0	100.00%	0	171	314	54.46%	170	291	58.42%	113	203	55.67%	23	13	19	9	17	9
6	Red Wings	3	1	1	0	0	1	0	0	8	9	-1	2	0	1	0	0	1	0	0	5	7	-2	1	1	0	0	0	0	0	0	3	2	1	3	0.500	8	16	24	0	0	2	2	4	0	107	39	26	42	0	87	33	10	65	10	1	10.00%	6	1	83.33%	0	171	314	54.46%	170	291	58.42%	113	203	55.67%	65	37	62	26	53	27
7	Sharks	2	1	0	0	0	0	1	0	7	5	2	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	0	0	1	0	5	4	1	4	1.000	7	10	17	0	0	4	1	1	1	69	28	20	20	4	70	26	8	44	4	2	50.00%	4	1	75.00%	0	171	314	54.46%	170	291	58.42%	113	203	55.67%	42	24	44	18	37	18
	Total	14	8	2	0	2	1	1	0	50	35	15	7	5	1	0	0	1	0	0	24	16	8	7	3	1	0	2	0	1	0	26	19	7	23	0.821	50	82	132	0	0	15	11	21	3	483	161	164	155	6	440	158	42	284	41	6	14.63%	22	2	90.91%	0	171	314	54.46%	170	291	58.42%	113	203	55.67%	308	180	292	123	245	126
	_Since Last GM Reset	14	8	2	0	2	1	1	0	50	35	15	7	5	1	0	0	1	0	0	24	16	8	7	3	1	0	2	0	1	0	26	19	7	23	0.821	50	82	132	0	0	15	11	21	3	483	161	164	155	6	440	158	42	284	41	6	14.63%	22	2	90.91%	0	171	314	54.46%	170	291	58.42%	113	203	55.67%	308	180	292	123	245	126
	_Vs Conference	13	7	2	0	2	1	1	0	46	34	12	7	5	1	0	0	1	0	0	24	16	8	6	2	1	0	2	0	1	0	22	18	4	21	0.808	46	77	123	0	0	13	10	20	3	451	149	151	148	6	415	153	38	268	37	6	16.22%	20	2	90.00%	0	171	314	54.46%	170	291	58.42%	113	203	55.67%	285	167	272	113	228	117
	_Vs Division	13	7	2	0	2	1	1	0	46	34	12	7	5	1	0	0	1	0	0	24	16	8	6	2	1	0	2	0	1	0	22	18	4	21	0.808	46	77	123	0	0	13	10	20	3	451	149	151	148	6	415	153	38	268	37	6	16.22%	20	2	90.00%	0	171	314	54.46%	170	291	58.42%	113	203	55.67%	285	167	272	113	228	117

			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
14	23	W5	50	82	132	483	440	158	42	284	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	8	2	2	1	1	0	50	35

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	5	1	0	1	0	0	24	16

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	1	2	0	1	0	26	19

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
7	2	0	0	1	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
41	6	14.63%	22	2	90.91%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
161	164	155	6	15	11	21	3

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
171	314	54.46%	170	291	58.42%	113	203	55.67%

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
308	180	292	123	245	126

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 - 2019-09-23	14	Red Wings	4	Rangers	3	L	X		Sommaire du Match
3 - 2019-09-24	33	Blues	2	Rangers	5	W			Sommaire du Match
4 - 2019-09-25	46	Rangers	5	Blues	4	W	X		Sommaire du Match
5 - 2019-09-26	55	Rangers	3	Golden Knights	2	W	X		Sommaire du Match
6 - 2019-09-27	73	Red Wings	3	Rangers	2	L			Sommaire du Match
8 - 2019-09-29	91	Sharks	1	Rangers	2	W			Sommaire du Match
9 - 2019-09-30	105	Rangers	5	Sharks	4	W	X	X	Sommaire du Match
10 - 2019-10-01	122	Islanders	1	Rangers	3	W			Sommaire du Match
11 - 2019-10-02	138	Rangers	2	Canadiens	4	L			Sommaire du Match
12 - 2019-10-03	145	Rangers	4	Maple Leafs	1	W			Sommaire du Match
14 - 2019-10-05	160	Canadiens	2	Rangers	4	W			Sommaire du Match
15 - 2019-10-06	177	Rangers	4	Islanders	2	W			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
17 - 2019-10-08	191	Golden Knights	3	Rangers	5	W			Sommaire du Match
18 - 2019-10-09	197	Rangers	3	Red Wings	2	W			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	100	60	35	20	200
Assistance	0	0	0	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	0 - 0.00%	0$	0$	18000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	80,428,333$	74,048,333$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0$	0	0

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

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	50,120,206$	50,120,206$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Matt Duchene	AGE:27	PO:82	OV:76
Brayden Schenn	AGE:26	PO:78	OV:74
Kyle Connor	AGE:21	PO:80	OV:73
Nazem Kadri	AGE:27	PO:74	OV:71
Jason Zucker	AGE:26	PO:75	OV:70
Paul Byron	AGE:29	PO:77	OV:69
Vinnie Hinostroza	AGE:24	PO:75	OV:69
Oskar Sundqvist	AGE:24	PO:74	OV:68
Johan Larsson	AGE:25	PO:69	OV:67
Pierre-Edouard Bellemare	AGE:33	PO:66	OV:65
Chandler Stephenson	AGE:24	PO:65	OV:63
Kalle Kossila	AGE:25	PO:67	OV:61
Patrick Russell	AGE:25	PO:65	OV:61
Gemel Smith	AGE:24	PO:65	OV:60
Scott Eansor	AGE:22	PO:58	OV:54

Matt Duchene	AGE:27	PO:82	OV:76
Brayden Schenn	AGE:26	PO:78	OV:74
Kyle Connor	AGE:21	PO:80	OV:73
Nazem Kadri	AGE:27	PO:74	OV:71
Vinnie Hinostroza	AGE:24	PO:75	OV:69
Oskar Sundqvist	AGE:24	PO:74	OV:68
Johan Larsson	AGE:25	PO:69	OV:67
Jason Spezza	AGE:35	PO:65	OV:67
Carter Verhaeghe	AGE:22	PO:69	OV:65
Pierre-Edouard Bellemare	AGE:33	PO:66	OV:65
Tyler Graovac	AGE:25	PO:68	OV:64
*Michael Rasmussen	AGE:19	PO:67	OV:63
Chandler Stephenson	AGE:24	PO:65	OV:63
Kalle Kossila	AGE:25	PO:67	OV:61
*Philippe Maillet	AGE:25	PO:66	OV:61
*Karson Kuhlman	AGE:22	PO:68	OV:60
Gemel Smith	AGE:24	PO:65	OV:60
Michael Spacek	AGE:21	PO:61	OV:59
*Jordan Kyrou	AGE:20	PO:61	OV:58
Sam Vigneault	AGE:22	PO:57	OV:57
Scott Eansor	AGE:22	PO:58	OV:54
*Troy Josephs	AGE:24	PO:54	OV:53

Brayden Schenn	AGE:26	PO:78	OV:74
Justin Williams	AGE:36	PO:75	OV:72
Nazem Kadri	AGE:27	PO:74	OV:71
Jason Zucker	AGE:26	PO:75	OV:70
Paul Byron	AGE:29	PO:77	OV:69
Vinnie Hinostroza	AGE:24	PO:75	OV:69
Oskar Sundqvist	AGE:24	PO:74	OV:68
Pierre-Edouard Bellemare	AGE:33	PO:66	OV:65
*Michael Rasmussen	AGE:19	PO:67	OV:63
Kalle Kossila	AGE:25	PO:67	OV:61
Patrick Russell	AGE:25	PO:65	OV:61
*Karson Kuhlman	AGE:22	PO:68	OV:60
*Jordan Kyrou	AGE:20	PO:61	OV:58
*Nicholas Caamano	AGE:19	PO:59	OV:57

Défense #1

Défense #2

Gardien

Matt Niskanen	AGE:31	PO:68	OV:75
Erik Karlsson	AGE:28	PO:70	OV:74
Ron Hainsey	AGE:37	PO:66	OV:73
Dan Girardi	AGE:34	PO:65	OV:71
Ben Harpur	AGE:23	PO:62	OV:68
Caleb Jones	AGE:21	PO:64	OV:66
Rasmus Andersson	AGE:21	PO:61	OV:64

Jason Garrison	AGE:33	PO:58	OV:64
Anthony Bitetto	AGE:27	PO:58	OV:60
Jake Dotchin	AGE:24	PO:56	OV:60
*Mitch Reinke	AGE:22	PO:59	OV:59
Sami Niku	AGE:21	PO:58	OV:59
*Josh Mahura	AGE:20	PO:58	OV:58

Philipp Grubauer	AGE:26	PO:78	OV:73
Alexandar Georgiev	AGE:22	PO:73	OV:68
Alex Nedeljkovic	AGE:22	PO:68	OV:65
Kevin Boyle	AGE:26	PO:59	OV:59
*Adam Huska	AGE:21	PO:47	OV:51

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 Beckman	Rangers	2019	80
Adam Ruzicka	Rangers	2017	73
Aleksi Heponiemi	Rangers	2017	44
Alexander Khovanov	Rangers	2018	71
Arthur Kaliyev	Rangers	2019	28
Blade Jenkins	Rangers	2018	101
Chase Perry	Rangers	2014	162
Dakota Joshua	Rangers	2014	157
Declan Chisholm	Rangers	2018	139
Dmitry Zavgorodniy	Rangers	2018	143
Dylan Ferguson	Rangers
Filip Hallander	Rangers	2018	41
Giovanni Vallati	Rangers	2018	131
Gustav Olofsson	Rangers
IVAN CHUKAROV	Rangers	2015	209
Ilya Nikolaev	Rangers	2019	77
Jacob Paquette	Rangers	2017	156
Jordan Kooy	Rangers	2018	191
Joshua Mahura	Rangers	2016	81
Linus Weissbach	Rangers	2017	174
Marc Del Gaizo	Rangers	2019	143
Maxim Denezhkin	Rangers	2019	208
Michael Kesselring	Rangers	2018	197
Nick Robertson	Rangers	2019	58
Noah Dobson	Rangers	2018	10
Philip Tomasino	Rangers	2019	25
Quinn Schmiemann	Rangers	2019	203
RYAN ZUHLSDORF	Rangers	2015	199
Reece Newkirk	Rangers	2019	144
Roman Bychkov	Rangers	2019	140
Sasha Chmelevski	Rangers	2017	101
Sasha Mutala	Rangers	2019	145
Semyon Chystyakov	Rangers	2019	113
Semyon Kizimov	Rangers	2018	209
Trent Miner	Rangers	2019	110
Trevor Janicke	Rangers	2019	133
Tyler Inamoto	Rangers	2017	136
Vojtech Budik	Rangers	2016	171

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
2020			NYR DET	NYR		NYR		NYR
2021	NYR	NYR	NYR	NYR	NYR	NYR	NYR	NYR
2022	NYR	NYR	NYR	NYR	NYR	NYR	NYR	NYR
2023	NYR	NYR	NYR	NYR	NYR	NYR	NYR	NYR
2024	NYR	NYR	NYR	NYR	NYR	NYR	NYR	NYR

[2019-09-05 20:20:31] - Kyle Connor signed with Rangers for 7 000 000 $ for 1 year(s).
[2019-09-05 20:20:31] - Kyle Connor was added to Rangers.
[2019-09-05 19:57:47] - Hartford Wolf Pack hired Willie Desjardins for 600 000 $ for 3 year(s).
[2019-09-05 19:57:23] - Rangers hired Jon Cooper for 1 100 000 $ for 3 year(s).
[2019-09-05 19:37:59] - Rangers fired Randy Carlyle.
[2019-08-25 00:10:34] - Rangers drafts Maxim Denezhkin as the #208 overall pick in the Entry Draft of year 2019.
[2019-08-25 00:10:01] - Rangers drafts Quinn Schmiemann as the #203 overall pick in the Entry Draft of year 2019.
[2019-08-25 00:00:33] - TRADE : From Lightning to Rangers : Y:2019-RND:7-TAM.
[2019-08-25 00:00:33] - TRADE : From Rangers to Lightning : Y:2020-RND:7-NYR.
[2019-07-28 10:01:00] - Rangers drafts Sasha Mutala as the #145 overall pick in the Entry Draft of year 2019.
[2019-07-28 10:00:52] - Rangers drafts Reece Newkirk as the #144 overall pick in the Entry Draft of year 2019.
[2019-07-28 10:00:44] - Rangers drafts Marc Del Gaizo as the #143 overall pick in the Entry Draft of year 2019.
[2019-07-28 10:00:19] - Rangers drafts Roman Bychkov as the #140 overall pick in the Entry Draft of year 2019.
[2019-07-25 23:07:58] - Rangers drafts Trevor Janicke as the #133 overall pick in the Entry Draft of year 2019.
[2019-07-22 11:16:38] - Rangers drafts Semyon Chystyakov as the #113 overall pick in the Entry Draft of year 2019.
[2019-07-22 11:16:03] - Rangers drafts Trent Miner as the #110 overall pick in the Entry Draft of year 2019.
[2019-07-15 09:58:56] - Rangers drafts Adam Beckman as the #80 overall pick in the Entry Draft of year 2019.
[2019-07-15 09:56:45] - Rangers drafts Ilya Nikolaev as the #77 overall pick in the Entry Draft of year 2019.
[2019-07-09 20:23:08] - Rangers drafts Nick Robertson as the #58 overall pick in the Entry Draft of year 2019.
[2019-07-09 20:21:39] - TRADE : From Lightning to Rangers : Jason Garrison (64), Y:2019-RND:2-TAM.
[2019-07-09 20:21:39] - TRADE : From Rangers to Lightning : Jared Moe (P), Semyon Der-Arguchintsev (P).
[2019-07-06 21:09:34] - Rangers drafts Arthur Kaliyev as the #28 overall pick in the Entry Draft of year 2019.
[2019-07-06 21:07:27] - Rangers drafts Philip Tomasino as the #25 overall pick in the Entry Draft of year 2019.
[2019-07-05 17:03:12] - Philippe Maillet was added to Rangers.
[2019-07-05 16:51:45] - TRADE : From Lightning to Rangers : Y:2019-RND:1-TAM.
[2019-07-05 16:51:45] - TRADE : From Rangers to Lightning : Y:2019-RND:2-DET, Y:2019-RND:2-NYR.

[2019-10-04 13:29:38] Philippe Maillet from Hartford Wolf Pack has scored a Hat Trick!
[2019-10-02 19:24:23] Successfully loaded Rangers lines done with STHS Client - 3.1.4.4
[2019-10-02 19:24:23] Michael Rasmussen of Rangers was sent down to farm.
[2019-10-01 18:23:58] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-09-30 18:18:20] Both Rangers and Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2019-09-30 18:18:19] Karson Kuhlman from Hartford Wolf Pack has scored a Hat Trick!
[2019-09-30 18:18:13] Auto Lines Function has been run for Rangers.
[2019-09-30 18:18:12] Auto Roster Partial Function has been run for Rangers.
[2019-09-30 18:17:47] Kevin Boyle from Hartford Wolf Pack is back from Exhaustion.
[2019-09-30 18:16:04] Kevin Boyle from Hartford Wolf Pack injured (Exhaustion)
[2019-09-30 18:16:04] Tyler Graovac from Hartford Wolf Pack has scored a Hat Trick!
[2019-09-30 18:15:54] Auto Lines Function has been run for Rangers.
[2019-09-30 18:15:54] Auto Roster Partial Function has been run for Rangers.
[2019-09-27 13:23:43] Philipp Grubauer from Rangers is back from Exhaustion.
[2019-09-27 13:22:12] Philipp Grubauer from Rangers injured (Exhaustion)
[2019-09-27 13:22:10] Philippe Maillet from Hartford Wolf Pack has scored a Hat Trick!

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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