LHSIR - Soldiers

Golden Knights
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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Chris Wagner	X	X	X		100.00	94	76	80	77	73	62	89	59	55	56	59	82	63	66	67	67	50	0	0	29	2	1,600,000$
2	Dmitry Sokolov		X	X		100.00	83	78	93	62	78	66	68	58	50	47	65	67	62	44	44	64	50	0	0	22	2	830,000$
3	Josh Anderson			X		100.00	91	70	81	80	83	73	78	69	38	61	56	73	25	64	65	67	50	0	0	26	1	678,333$
4	Yakov Trenin (R)	X				100.00	87	77	87	63	76	54	81	61	56	65	59	66	25	45	45	64	50	0	0	23	3	863,333$
5	Justin Kirkland		X			100.00	72	70	77	61	70	75	80	57	50	61	48	62	46	45	45	58	50	0	0	23	2	925,000$
6	Kieffer Bellows		X			100.00	72	71	74	69	71	77	82	59	50	47	67	62	64	44	44	64	50	0	0	22	2	1,106,666$
7	Klim Kostin	X	X	X		100.00	72	74	67	70	74	73	76	62	78	58	62	63	59	45	45	64	50	0	0	21	2	1,075,833$
8	Joel Kellman (R)	X				100.00	73	43	95	77	69	59	68	58	74	61	59	74	25	46	46	65	50	0	0	26	2	937,500$
9	Joseph Blandisi	X	X			100.00	77	43	85	73	66	51	74	56	53	62	59	71	25	58	58	65	50	0	0	25	1	680,000$
10	Tanner Kero	X				100.00	74	68	87	62	68	71	74	63	79	64	56	66	53	51	51	63	50	0	0	27	1	750,000$
11	Joseph Veleno (R)	X				100.00	76	71	89	72	71	70	74	56	70	50	58	63	55	44	44	61	50	0	0	20	3	1,243,750$
12	Eetu Tuulola (R)			X		100.00	83	82	86	65	82	69	72	58	50	53	58	67	55	44	44	62	50	0	0	22	3	925,000$
13	Eeli Tolvanen (R)		X	X		100.00	75	68	90	67	68	76	80	60	50	52	63	64	60	44	44	65	50	0	0	21	3	3,115,000$
14	Anthony Bitetto				X	100.00	93	70	82	70	78	66	62	57	25	52	47	76	75	64	65	62	50	0	0	29	1	621,500$
15	Jack Dougherty				X	100.00	73	69	83	63	69	69	75	48	25	39	41	61	39	49	49	53	50	0	0	24	2	902,000$
16	Jake Bean				X	100.00	73	69	83	67	69	78	83	62	25	59	51	63	48	44	44	62	50	0	0	22	2	1,363,333$
17	Mario Ferraro (R)				X	100.00	85	44	85	80	67	68	68	61	25	51	48	71	25	51	51	61	50	0	0	21	3	1,137,500$
18	Xavier Ouellet				X	100.00	85	45	89	74	69	63	76	57	25	52	47	68	25	61	62	60	50	0	0	26	1	1,250,000$
19	Erik Gustafsson				X	100.00	78	53	87	83	66	80	90	80	25	66	50	61	75	64	65	66	50	0	0	28	1	650,000$
Rayé
1	Adam Mascherin		X			100.00	75	73	80	61	73	66	70	53	50	51	51	62	48	44	44	57	50	0	0	22	2	880,000$
2	Ty Ronning			X		100.00	69	61	89	62	61	55	57	47	50	44	45	57	43	44	44	52	50	0	0	22	2	750,833$
3	Kale Clague				X	100.00	71	65	84	71	65	67	70	57	25	48	51	61	48	44	44	59	50	0	0	22	2	894,166$
4	Maxime Lajoie (R)				X	100.00	73	68	85	77	68	69	74	51	25	44	41	62	39	51	51	55	50	0	0	22	3	780,000$
5	Teemu Kivihalme (R)				X	100.00	73	67	86	66	67	69	75	50	25	43	41	60	39	44	44	53	50	0	0	25	3	925,000$

	MOYENNE D'ÉQUIPE					100.00	78	66	84	70	71	68	75	58	45	54	53	66	47	50	50	61	50	0

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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	Hunter Miska	100.00	63	56	70	63	67	67	58	67	66	64	30	44	44	63	37	0	0
2	Calvin Petersen	100.00	59	77	96	70	56	64	50	61	57	56	30	44	44	59	50	0	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	61	67	83	67	62	66	54	64	62	60	30	44	44	61	44	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Hynes	83	80	80	81	66	62	81	USA	47	3	1,356,000$

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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	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	Joel Kellman	Soldiers (VGK)	C	46	18	18	36	22	20	0	24	95	86	16	61	20.93%	8	693	15.08	0	3	3	3	37	0	0	0	0	55	6	2	57.55%	556	0	1.04	2	2	0	0	0	5	4	2
2	Erik Gustafsson	Soldiers (VGK)	D	46	5	24	29	4	26	0	61	52	41	25	25	12.20%	23	1104	24.02	4	10	14	34	210	0	1	1	0	245	1	0	0.00%	0	0	0.52	1	1	0	0	0	0	2	3
3	Eeli Tolvanen	Soldiers (VGK)	LW/RW	46	14	14	28	-3	20	0	46	25	71	27	53	19.72%	3	741	16.11	5	9	14	28	197	0	0	0	0	3	1	1	46.81%	47	1	0.76	0	0	0	0	0	2	2	2
4	Josh Anderson	Soldiers (VGK)	RW	46	7	19	26	1	38	0	69	91	78	20	59	8.97%	10	1016	22.09	0	8	8	22	195	0	1	1	3	258	2	0	46.60%	470	0	0.51	2	5	0	0	0	1	3	3
5	Joseph Blandisi	Soldiers (VGK)	C/LW	46	7	15	22	1	18	0	41	64	57	14	48	12.28%	11	839	18.25	4	7	11	20	179	0	0	0	4	115	1	0	49.38%	563	0	0.52	1	2	0	0	0	0	1	1
6	Chris Wagner	Soldiers (VGK)	C/LW/RW	46	14	6	20	2	55	5	81	97	100	19	45	14.00%	11	845	18.38	3	0	3	24	196	1	0	1	3	160	1	1	54.36%	837	0	0.47	1	2	0	1	0	3	0	1
7	Jake Bean	Soldiers (VGK)	D	46	4	16	20	18	41	5	41	37	7	4	9	57.14%	26	774	16.85	1	0	1	1	32	0	0	0	1	106	1	0	0.00%	0	0	0.52	0	0	1	0	0	0	1	2
8	Anthony Bitetto	Soldiers (VGK)	D	46	7	12	19	3	102	0	98	33	42	16	27	16.67%	29	1000	21.74	4	5	9	29	194	0	0	0	0	193	2	0	0.00%	0	0	0.38	0	0	0	0	0	0	2	2
9	Eetu Tuulola	Soldiers (VGK)	RW	46	6	12	18	17	80	20	50	34	51	25	39	11.76%	4	603	13.12	0	0	0	3	7	0	0	0	0	0	0	0	42.86%	28	0	0.60	0	0	1	2	0	1	1	1
10	Klim Kostin	Soldiers (VGK)	C/LW/RW	36	8	9	17	-5	69	25	47	21	47	19	37	17.02%	2	562	15.63	5	5	10	16	146	0	0	0	0	5	2	0	48.15%	27	0	0.60	0	0	1	1	2	1	2	2
11	Kieffer Bellows	Soldiers (VGK)	LW	46	8	8	16	17	65	5	32	40	56	13	41	14.29%	2	609	13.26	0	0	0	0	2	0	0	0	0	1	2	1	51.43%	35	0	0.52	0	0	0	1	0	2	2	1
12	Brock McGinn	Golden Knights	LW/RW	36	6	7	13	-2	14	0	25	50	70	14	60	8.57%	11	751	20.87	3	2	5	33	157	1	0	1	2	183	2	0	41.03%	78	0	0.35	3	4	0	0	0	0	1	1
13	Yakov Trenin	Soldiers (VGK)	C	46	4	8	12	5	48	0	60	35	26	5	19	15.38%	14	542	11.79	0	0	0	1	3	0	0	0	0	0	1	0	50.52%	192	0	0.44	1	1	0	0	0	3	1	0
14	Xavier Ouellet	Soldiers (VGK)	D	46	2	10	12	-3	43	5	51	31	32	10	23	6.25%	23	954	20.75	2	5	7	22	173	0	0	0	1	198	0	0	0.00%	0	0	0.25	0	0	0	0	0	1	0	0
15	Danton Heinen	Golden Knights	LW/RW	10	1	8	9	1	0	0	0	17	30	4	20	3.33%	0	231	23.16	1	2	3	13	40	0	0	0	1	47	0	0	31.15%	122	0	0.78	0	1	0	0	0	1	0	0
16	Mario Ferraro	Soldiers (VGK)	D	46	0	7	7	-3	48	0	68	41	33	14	27	0.00%	41	925	20.12	0	2	2	22	147	0	0	0	0	173	0	0	0.00%	0	0	0.15	0	0	0	0	0	0	0	0
17	Cody Ceci	Golden Knights	D	7	0	4	4	0	8	0	12	14	5	6	4	0.00%	10	165	23.61	0	2	2	3	33	0	0	0	0	33	0	0	0.00%	0	0	0.48	0	0	0	0	0	0	0	0
18	Dmitry Sokolov	Soldiers (VGK)	LW/RW	46	4	0	4	2	10	0	13	7	10	4	11	40.00%	1	175	3.82	0	0	0	0	1	0	0	0	0	0	0	0	66.67%	9	0	0.45	0	0	0	0	0	0	2	0
19	Maxime Lajoie	Soldiers (VGK)	D	10	0	4	4	10	16	0	9	3	2	1	1	0.00%	10	166	16.67	0	0	0	0	2	0	0	0	0	22	0	0	0.00%	0	0	0.48	0	0	0	0	0	0	1	1
20	Tanner Kero	Soldiers (VGK)	C	46	1	2	3	0	8	0	11	19	18	8	11	5.56%	4	220	4.80	0	1	1	5	37	0	0	0	0	34	0	0	62.04%	137	0	0.27	0	0	0	0	0	0	1	0
21	Joseph Veleno	Soldiers (VGK)	C	46	1	0	1	-1	0	0	1	4	8	0	3	12.50%	1	64	1.41	1	0	1	4	23	0	0	0	0	6	0	1	64.29%	14	0	0.31	0	0	0	0	0	0	0	0
22	Justin Kirkland	Soldiers (VGK)	LW	3	0	0	0	0	2	0	0	2	0	0	0	0.00%	0	15	5.23	0	0	0	0	1	0	0	0	0	10	0	0	75.00%	4	0	0.00	0	0	0	0	0	0	0	0
23	Ty Ronning	Soldiers (VGK)	RW	5	0	0	0	-2	0	0	2	0	0	0	0	0.00%	0	31	6.38	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				843	117	203	320	84	731	65	842	812	870	264	623	13.45%	244	13038	15.47	33	61	94	283	2023	2	2	4	15	1855	22	6	51.54%	3120	1	0.49	11	18	3	5	2	20	26	22

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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	A	EG	PS %	PSA	ST	BG	S1	S2
1	Calvin Petersen	Soldiers (VGK)	34	19	13	1	0.867	2.47	1897	0	4	78	587	4	1	0.800	15	33	36	3	2
2	Hunter Miska	Soldiers (VGK)	13	8	5	0	0.898	1.81	762	2	3	23	225	0	0	0.400	5	13	10	3	0
Stats d'équipe Total ou en Moyenne			47	27	18	1	0.876	2.28	2659	2	7	101	812	4	1	0.700	20	46	46	6	2

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Adam Mascherin	Soldiers (VGK)	LW	22	1998-06-05	No	206 Lbs	5 ft11	No	No	No	2	Pro & Farm	880,000$	361,935$	450,000$	185,081$	0$	0$	No	880,000$		Lien
Anthony Bitetto	Soldiers (VGK)	D	29	1990-07-14	No	210 Lbs	6 ft1	No	No	No	1	Pro & Farm	621,500$	255,617$	621,500$	255,617$	0$	0$	No			Lien
Calvin Petersen	Soldiers (VGK)	G	25	1994-10-19	No	185 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,108,333$	455,847$	858,333$	353,024$	0$	0$	No	858,333$	858,333$	Lien
Chris Wagner	Soldiers (VGK)	C/LW/RW	29	1991-05-27	No	198 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,600,000$	658,065$	1,350,000$	555,242$	0$	0$	No	1,350,000$		Lien
Dmitry Sokolov	Soldiers (VGK)	LW/RW	22	1998-04-13	No	221 Lbs	5 ft11	No	No	No	2	Pro & Farm	830,000$	341,371$	450,000$	185,081$	0$	0$	No	830,000$		Lien
Eeli Tolvanen	Soldiers (VGK)	LW/RW	21	1999-04-22	Yes	191 Lbs	5 ft10	No	No	No	3	Pro & Farm	3,115,000$	1,281,169$	3,115,000$	1,281,169$	0$	0$	No	3,115,000$	3,115,000$
Eetu Tuulola	Soldiers (VGK)	RW	22	1998-03-17	Yes	225 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	380,444$	925,000$	380,444$	0$	0$	No	925,000$	925,000$
Erik Gustafsson	Soldiers (VGK)	D	28	1992-03-14	No	176 Lbs	6 ft0	No	No	No	1	Pro & Farm	650,000$	267,339$	650,000$	267,339$	0$	0$	No			Lien
Hunter Miska	Soldiers (VGK)	G	24	1995-07-06	No	170 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,000,000$	411,290$	1,000,000$	411,290$	0$	0$	No			Lien
Jack Dougherty	Soldiers (VGK)	D	24	1996-05-24	No	186 Lbs	6 ft1	No	No	No	2	Pro & Farm	902,000$	370,984$	450,000$	185,081$	0$	0$	No	902,000$		Lien
Jake Bean	Soldiers (VGK)	D	22	1998-06-09	No	187 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,363,333$	560,726$	450,000$	185,081$	0$	0$	No	1,363,333$		Lien
Joel Kellman	Soldiers (VGK)	C	26	1994-05-25	Yes	192 Lbs	5 ft11	No	No	No	2	Pro & Farm	937,500$	385,585$	925,000$	380,444$	0$	0$	No	925,000$		Lien
Joseph Blandisi	Soldiers (VGK)	C/LW	25	1994-07-18	No	182 Lbs	5 ft11	No	No	No	1	Pro & Farm	680,000$	279,677$	680,000$	279,677$	0$	0$	No			Lien
Joseph Veleno	Soldiers (VGK)	C	20	2000-01-13	Yes	194 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,243,750$	511,542$	1,243,750$	511,542$	0$	0$	No	1,243,750$	1,243,750$
Josh Anderson	Soldiers (VGK)	RW	26	1994-05-06	No	221 Lbs	6 ft3	No	No	No	1	Pro & Farm	678,333$	278,992$	678,333$	278,992$	0$	0$	No			Lien
Justin Kirkland	Soldiers (VGK)	LW	23	1996-08-02	No	183 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	380,444$	450,000$	185,081$	0$	0$	No	925,000$		Lien
Kale Clague	Soldiers (VGK)	D	22	1998-06-05	No	177 Lbs	6 ft0	No	No	No	2	Pro & Farm	894,166$	367,762$	450,000$	185,081$	0$	0$	No	894,166$		Lien
Kieffer Bellows	Soldiers (VGK)	LW	22	1998-06-10	No	196 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,106,666$	455,161$	450,000$	185,081$	0$	0$	No	1,106,666$		Lien
Klim Kostin	Soldiers (VGK)	C/LW/RW	21	1999-05-05	No	196 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,075,833$	442,480$	450,000$	185,081$	0$	0$	No	1,075,833$		Lien
Mario Ferraro	Soldiers (VGK)	D	21	1998-09-17	Yes	185 Lbs	5 ft11	No	No	No	3	Pro & Farm	1,137,500$	467,843$	1,137,500$	467,843$	0$	0$	No	1,137,500$	1,137,500$
Maxime Lajoie	Soldiers (VGK)	D	22	1997-11-05	Yes	183 Lbs	6 ft1	No	No	No	3	Pro & Farm	780,000$	320,806$	780,000$	320,806$	0$	0$	No	780,000$	780,000$
Tanner Kero	Soldiers (VGK)	C	27	1992-07-24	No	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	308,468$	750,000$	308,468$	0$	0$	No			Lien
Teemu Kivihalme	Soldiers (VGK)	D	25	1995-06-14	Yes	181 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	380,444$	925,000$	380,444$	0$	0$	No	925,000$	925,000$
Ty Ronning	Soldiers (VGK)	RW	22	1997-10-20	No	172 Lbs	5 ft9	No	No	No	2	Pro & Farm	750,833$	308,810$	450,000$	185,081$	0$	0$	No	750,833$		Lien
Xavier Ouellet	Soldiers (VGK)	D	26	1993-07-28	No	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,250,000$	514,113$	1,250,000$	514,113$	0$	0$	No			Lien
Yakov Trenin	Soldiers (VGK)	C	23	1997-01-13	Yes	201 Lbs	6 ft2	No	No	No	3	Pro & Farm	863,333$	355,081$	863,333$	355,081$	0$	0$	No	863,333$	863,333$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	23.81	192 Lbs	6 ft0	2.04	1,038,195$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Joseph Blandisi	Chris Wagner	Josh Anderson	35	1	2	2
2	Klim Kostin	Joel Kellman	Eeli Tolvanen	30	1	2	2
3	Kieffer Bellows	Yakov Trenin	Eetu Tuulola	25	1	2	2
4	Dmitry Sokolov	Tanner Kero		10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Erik Gustafsson		35	1	2	2
2	Anthony Bitetto	Xavier Ouellet	30	1	2	2
3	Mario Ferraro	Jake Bean	25	1	2	2
4	Erik Gustafsson		10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Joseph Blandisi	Chris Wagner	Josh Anderson	60	1	2	2
2	Klim Kostin	Joel Kellman	Eeli Tolvanen	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Erik Gustafsson		60	1	2	2
2	Anthony Bitetto	Xavier Ouellet	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Josh Anderson	Chris Wagner	60	1	2	2
2	Joseph Blandisi	Joel Kellman	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Erik Gustafsson		60	1	2	2
2	Anthony Bitetto	Xavier Ouellet	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Josh Anderson	60	1	2	2	Erik Gustafsson		60	1	2	2
2	Chris Wagner	40	1	2	2	Anthony Bitetto	Xavier Ouellet	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Josh Anderson	Chris Wagner	60	1	2	2
2	Joseph Blandisi	Joel Kellman	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Erik Gustafsson		60	1	2	2
2	Anthony Bitetto	Xavier Ouellet	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Joseph Blandisi	Chris Wagner	Josh Anderson	Erik Gustafsson

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Joseph Blandisi	Chris Wagner	Josh Anderson	Erik Gustafsson

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Joseph Veleno, Yakov Trenin, Tanner Kero	Joseph Veleno, Yakov Trenin	Tanner Kero

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Mario Ferraro, Jake Bean, Anthony Bitetto	Mario Ferraro	Jake Bean, Anthony Bitetto

Tirs de Pénalité
Josh Anderson, Chris Wagner, Joseph Blandisi, Joel Kellman, Yakov Trenin

Gardien
#1 : Hunter Miska, #2 : Calvin Petersen

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

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

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Bruins	2	1	1	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	3	0	3	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	6	11	17	0	1	41	34	42	11	37	284	281	302	21	44	15	33	31	9	2	22.22%	13	3	76.92%	0	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
2	Condors	4	2	2	0	0	0	0	0	13	12	1	1	0	1	0	0	0	0	0	4	5	-1	3	2	1	0	0	0	0	0	9	7	2	4	0.500	13	21	34	0	0	41	34	42	11	61	284	281	302	21	78	15	63	94	21	4	19.05%	29	5	82.76%	0	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
3	Flames	2	0	1	0	0	0	1	0	7	8	-1	2	0	1	0	0	0	1	0	7	8	-1	0	0	0	0	0	0	0	0	0	0	0	2	0.500	7	9	16	0	0	41	34	42	11	38	284	281	302	21	41	9	32	32	12	4	33.33%	16	2	87.50%	1	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
4	Griffins	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	41	34	42	11	24	284	281	302	21	18	3	12	15	4	1	25.00%	6	1	83.33%	0	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
5	IceHogs	4	2	2	0	0	0	0	0	8	9	-1	3	1	2	0	0	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	2	1	1	4	0.500	8	11	19	0	1	41	34	42	11	59	284	281	302	21	70	19	77	89	22	2	9.09%	31	5	83.87%	0	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
6	Marlies	2	2	0	0	0	0	0	0	11	3	8	1	1	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	4	1	3	4	1.000	11	20	31	0	0	41	34	42	11	54	284	281	302	21	26	4	23	40	10	0	0.00%	9	1	88.89%	1	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
7	Monarchs	2	1	1	0	0	0	0	0	2	2	0	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	1	0	1	2	0.500	2	4	6	0	1	41	34	42	11	20	284	281	302	21	32	15	26	36	8	0	0.00%	12	0	100.00%	0	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
8	Moose	2	0	2	0	0	0	0	0	0	12	-12	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	12	-12	0	0.000	0	0	0	0	0	41	34	42	11	26	284	281	302	21	48	11	33	30	10	0	0.00%	14	3	78.57%	0	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
9	Penguins	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	6	11	17	0	0	41	34	42	11	51	284	281	302	21	26	9	30	28	15	3	20.00%	13	4	69.23%	0	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
10	Phantoms	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	41	34	42	11	21	284	281	302	21	24	7	12	15	9	1	11.11%	5	0	100.00%	0	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
11	Rampage	3	2	0	0	0	0	1	0	12	4	8	2	1	0	0	0	0	1	0	10	4	6	1	1	0	0	0	0	0	0	2	0	2	6	1.000	12	20	32	0	1	41	34	42	11	66	284	281	302	21	62	20	30	63	12	2	16.67%	14	2	85.71%	0	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
12	Senators	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	2	3	-1	1	0.500	2	4	6	0	0	41	34	42	11	15	284	281	302	21	20	7	18	15	4	0	0.00%	8	0	100.00%	0	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
13	Sharks	2	1	1	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	2	0	2	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	4	7	11	0	1	41	34	42	11	25	284	281	302	21	28	12	18	34	12	2	16.67%	9	1	88.89%	0	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
14	Sound Tigers	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	3	5	0	0	41	34	42	11	17	284	281	302	21	17	6	14	14	5	0	0.00%	7	2	71.43%	0	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
15	Stars	11	6	3	0	0	0	2	0	30	22	8	6	4	2	0	0	0	0	0	20	15	5	5	2	1	0	0	0	2	0	10	7	3	16	0.727	30	50	80	1	1	41	34	42	11	236	284	281	302	21	219	63	212	201	53	5	9.43%	73	8	89.04%	0	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
	Total	46	22	18	0	0	1	5	0	122	106	16	24	11	10	0	0	0	3	0	76	56	20	22	11	8	0	0	1	2	0	46	50	-4	55	0.598	122	204	326	1	7	41	34	42	11	870	284	281	302	21	859	245	733	844	249	33	13.25%	300	40	86.67%	2	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
16	Wolves	6	4	1	0	0	0	1	0	17	9	8	3	1	1	0	0	0	1	0	9	5	4	3	3	0	0	0	0	0	0	8	4	4	10	0.833	17	29	46	0	1	41	34	42	11	120	284	281	302	21	106	30	100	107	43	7	16.28%	41	3	92.68%	0	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
	_Since Last GM Reset	46	22	18	0	0	1	5	0	122	106	16	24	11	10	0	0	0	3	0	76	56	20	22	11	8	0	0	1	2	0	46	50	-4	55	0.598	122	204	326	1	7	41	34	42	11	870	284	281	302	21	859	245	733	844	249	33	13.25%	300	40	86.67%	2	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
	_Vs Conference	36	18	14	0	0	0	4	0	89	78	11	18	8	8	0	0	0	2	0	53	41	12	18	10	6	0	0	0	2	0	36	37	-1	44	0.611	89	147	236	1	6	41	34	42	11	654	284	281	302	21	678	194	585	683	190	23	12.11%	236	30	87.29%	0	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292
	_Vs Division	24	14	7	0	0	0	4	0	67	44	23	14	7	6	0	0	0	2	0	45	32	13	10	7	1	0	0	0	2	0	22	12	10	36	0.750	67	110	177	1	4	41	34	42	11	481	284	281	302	21	457	132	419	460	130	16	12.31%	159	18	88.68%	0	673	1264	53.24%	629	1262	49.84%	320	638	50.16%	1171	809	1040	341	573	292

			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
46	55	W3	122	204	326	870	859	245	733	844	1	7

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
46	22	18	0	1	5	0	122	106

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
24	11	10	0	0	3	0	76	56

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	11	8	0	1	2	0	46	50

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	5	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
249	33	13.25%	300	40	86.67%	2

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
284	281	302	21	41	34	42	11

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
673	1264	53.24%	629	1262	49.84%	320	638	50.16%

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
1171	809	1040	341	573	292

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
1 - 2020-09-27	3	Soldiers	1	Stars	0	W			Sommaire du Match
2 - 2020-09-28	15	Stars	2	Soldiers	5	W			Sommaire du Match
4 - 2020-09-30	26	Stars	2	Soldiers	3	W			Sommaire du Match
5 - 2020-10-01	39	Soldiers	3	Stars	1	W			Sommaire du Match
7 - 2020-10-03	53	Bruins	0	Soldiers	3	W			Sommaire du Match
9 - 2020-10-05	66	Soldiers	2	Stars	1	W	X	X	Sommaire du Match
10 - 2020-10-06	70	Stars	4	Soldiers	3	L			Sommaire du Match
12 - 2020-10-08	81	Soldiers	4	Wolves	3	W			Sommaire du Match
14 - 2020-10-10	97	Soldiers	2	Sharks	3	L			Sommaire du Match
16 - 2020-10-12	102	Stars	1	Soldiers	4	W			Sommaire du Match
18 - 2020-10-14	113	Soldiers	2	Wolves	1	W			Sommaire du Match
20 - 2020-10-16	125	Wolves	1	Soldiers	5	W			Sommaire du Match
21 - 2020-10-17	132	Soldiers	3	Condors	1	W			Sommaire du Match
23 - 2020-10-19	145	Rampage	1	Soldiers	6	W			Sommaire du Match
24 - 2020-10-20	155	Soldiers	2	IceHogs	1	W			Sommaire du Match
25 - 2020-10-21	170	IceHogs	5	Soldiers	2	L			Sommaire du Match
27 - 2020-10-23	185	Griffins	2	Soldiers	1	L			Sommaire du Match
28 - 2020-10-24	187	Soldiers	0	Moose	5	L			Sommaire du Match
30 - 2020-10-26	201	Flames	5	Soldiers	3	L			Sommaire du Match
32 - 2020-10-28	214	Soldiers	4	Marlies	1	W			Sommaire du Match
34 - 2020-10-30	226	Stars	4	Soldiers	2	L			Sommaire du Match
37 - 2020-11-02	241	Monarchs	2	Soldiers	1	L			Sommaire du Match
38 - 2020-11-03	245	Soldiers	2	Senators	3	L	X		Sommaire du Match
40 - 2020-11-05	261	Phantoms	2	Soldiers	1	L			Sommaire du Match
42 - 2020-11-07	270	Soldiers	2	Wolves	0	W			Sommaire du Match
45 - 2020-11-10	288	Condors	5	Soldiers	4	L			Sommaire du Match
47 - 2020-11-12	303	Soldiers	3	Bruins	5	L			Sommaire du Match
48 - 2020-11-13	311	Wolves	2	Soldiers	3	W	X	X	Sommaire du Match
50 - 2020-11-15	331	Sharks	0	Soldiers	2	W			Sommaire du Match
51 - 2020-11-16	340	Soldiers	0	Stars	2	L			Sommaire du Match
52 - 2020-11-17	351	Flames	3	Soldiers	4	W	X	X	Sommaire du Match
53 - 2020-11-18	359	Soldiers	4	Condors	3	W			Sommaire du Match
55 - 2020-11-20	369	Soldiers	4	Stars	3	W	X	X	Sommaire du Match
56 - 2020-11-21	380	Stars	2	Soldiers	3	W			Sommaire du Match
57 - 2020-11-22	396	Penguins	3	Soldiers	5	W			Sommaire du Match
58 - 2020-11-23	402	Soldiers	1	Penguins	4	L			Sommaire du Match
59 - 2020-11-24	412	Soldiers	2	Condors	3	L			Sommaire du Match
61 - 2020-11-26	424	Wolves	2	Soldiers	1	L			Sommaire du Match
63 - 2020-11-28	440	IceHogs	0	Soldiers	3	W			Sommaire du Match
65 - 2020-11-30	452	Soldiers	0	Moose	7	L			Sommaire du Match
66 - 2020-12-01	459	Soldiers	2	Rampage	0	W			Sommaire du Match
67 - 2020-12-02	469	IceHogs	3	Soldiers	1	L			Sommaire du Match
68 - 2020-12-03	482	Soldiers	2	Sound Tigers	3	L			Sommaire du Match
70 - 2020-12-05	489	Rampage	3	Soldiers	4	W	X	X	Sommaire du Match
71 - 2020-12-06	505	Marlies	2	Soldiers	7	W			Sommaire du Match
73 - 2020-12-08	517	Soldiers	1	Monarchs	0	W			Sommaire du Match
74 - 2020-12-09	522	Soldiers	-	IceHogs	-
75 - 2020-12-10	533	Condors	-	Soldiers	-
76 - 2020-12-11	542	Soldiers	-	Rampage	-
78 - 2020-12-13	554	Admirals	-	Soldiers	-
79 - 2020-12-14	566	Soldiers	-	Admirals	-
80 - 2020-12-15	575	Rampage	-	Soldiers	-
82 - 2020-12-17	590	Rocket	-	Soldiers	-
85 - 2020-12-20	603	Soldiers	-	Rampage	-
86 - 2020-12-21	615	Soldiers	-	Rampage	-
87 - 2020-12-22	623	Senators	-	Soldiers	-
88 - 2020-12-23	636	Admirals	-	Soldiers	-
90 - 2020-12-25	646	Soldiers	-	Griffins	-
92 - 2020-12-27	656	Soldiers	-	Flames	-
93 - 2020-12-28	664	Crunch	-	Soldiers	-
95 - 2020-12-30	683	IceHogs	-	Soldiers	-
96 - 2020-12-31	692	Soldiers	-	Wolves	-
97 - 2021-01-01	706	Stars	-	Soldiers	-
98 - 2021-01-02	715	Soldiers	-	Bruins	-
99 - 2021-01-03	725	Soldiers	-	Phantoms	-
101 - 2021-01-05	733	Sound Tigers	-	Soldiers	-
102 - 2021-01-06	749	Rampage	-	Soldiers	-
103 - 2021-01-07	757	Soldiers	-	Rocket	-
105 - 2021-01-09	771	Bruins	-	Soldiers	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10	781	Soldiers	-	IceHogs	-
107 - 2021-01-11	792	Soldiers	-	Condors	-
108 - 2021-01-12	795	Moose	-	Soldiers	-
110 - 2021-01-14	811	Soldiers	-	Stars	-
111 - 2021-01-15	818	Monsters	-	Soldiers	-
113 - 2021-01-17	838	Wolf Pack	-	Soldiers	-
115 - 2021-01-19	852	Soldiers	-	Sharks	-
116 - 2021-01-20	858	Soldiers	-	Monsters	-
117 - 2021-01-21	861	Wolves	-	Soldiers	-
119 - 2021-01-23	881	Monarchs	-	Soldiers	-
120 - 2021-01-24	886	Soldiers	-	Crunch	-
121 - 2021-01-25	889	Soldiers	-	IceHogs	-
122 - 2021-01-26	894	Soldiers	-	Wolf Pack	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
17	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,520,293$	2,699,307$	2,180,274$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	1,722,017$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	51	32,704$	1,667,904$

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