Ligue de Hockey Simulé du Saguenay

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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	William Karlsson (R) (A)	X				100.00	67	33	80	74	75	71	75	74	75	75	71	65	71	47	44	53	28	70	0	22	1	800,000$
2	Dany Roussin		X			100.00	72	37	74	70	74	71	63	71	73	73	70	59	71	73	66	18	26	69	0	30	1	450,000$
3	Brayden Point (R) (C)	X				100.00	73	37	77	57	83	66	75	67	67	67	87	54	68	42	41	79	52	67	0	19	1	500,000$
4	Mike Hoffman (A)		X			100.00	70	26	70	72	71	67	66	69	71	67	70	60	70	58	57	30	14	66	0	26	1	950,000$
5	Trevor Lewis	X				100.00	66	31	72	72	66	71	60	67	70	69	70	60	71	59	57	19	22	66	0	28	1	850,000$
6	Jamie McGinn		X			100.00	79	32	65	62	72	63	71	64	66	64	66	64	70	49	49	26	31	64	0	27	2	425,000$
7	Angelo Esposito	X				100.00	62	39	69	63	64	63	68	68	76	69	67	51	68	48	48	24	29	63	0	26	3	550,000$
8	Zach Stepan (R)	X				100.00	60	17	79	67	63	75	69	62	61	63	57	63	66	43	43	42	40	62	0	21	1	475,000$
9	Artturi Lehkonen (R)		X			100.00	53	33	70	77	61	60	58	69	65	57	61	51	67	42	42	58	37	60	0	20	4	500,000$
10	Colton Sceviour			X		100.00	62	36	68	59	64	60	57	63	60	53	66	48	64	48	48	27	26	58	0	26	2	500,000$
11	Vincent Dunn (R)	X				100.00	61	35	70	55	65	50	69	60	62	61	50	54	51	42	42	56	40	56	0	20	2	360,000$
12	Austin Poganski (R)			X		100.00	59	40	66	65	62	49	68	55	51	53	61	52	52	41	41	55	40	56	0	19	1	500,000$
13	Mikko Vainonen (R)				X	100.00	57	29	76	64	63	59	61	64	49	60	55	68	50	44	43	39	22	61	0	21	2	280,000$
14	Gianluca Curcuruto (R)				X	100.00	65	34	68	64	55	61	60	57	47	58	48	61	49	43	43	44	32	59	0	21	1	300,000$
15	Emil Johansson (R)				X	100.00	51	43	67	57	57	62	58	56	43	59	55	56	43	41	41	56	30	56	0	19	1	500,000$
16	Jesper Pettersson (R)				X	100.00	53	40	64	57	59	60	58	54	59	61	61	42	52	45	43	44	25	55	0	20	1	500,000$
17	Ryan Graves (R)				X	100.00	50	29	68	57	57	57	61	56	31	58	37	57	38	42	42	48	19	54	0	20	2	450,000$
18	Mackenze Stewart (R)				X	100.00	46	38	63	54	54	60	55	52	56	56	61	38	48	41	41	54	40	52	0	19	1	500,000$
Rayé
1	Brock McGinn (R)		X			77.36	76	46	73	76	79	68	78	74	67	74	72	68	68	46	44	56	29	70	0	21	3	950,000$
2	Jakob Lilja (R)		X			100.00	58	35	69	63	67	60	53	68	62	57	52	54	61	50	49	31	22	58	0	22	2	500,000$
3	Nikolay Prokhorkin (R)		X			100.00	50	34	75	57	50	58	59	58	73	75	60	47	55	45	44	39	25	58	0	22	1	375,000$
4	Colby Cave (R)	X				100.00	46	24	68	56	64	50	55	55	47	54	70	41	56	43	43	39	25	54	0	21	2	360,000$
5	Artur Gavrus (R)	X				100.00	56	21	55	43	53	52	43	45	54	57	63	44	51	43	43	36	25	51	0	21	1	300,000$
6	Jarrod Maidens (R)	X				100.00	56	27	67	49	56	57	55	54	51	52	49	30	59	43	43	38	25	50	0	21	1	300,000$

	MOYENNE D'ÉQUIPE					99.06	60	33	70	62	64	61	62	62	60	62	62	54	59	47	46	42	29	60

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Niklas Treutle	100.00	61	62	70	68	68	66	65	64	69	67	65	57	54	33	35	66	0
2	Sergei Kostenko	100.00	74	58	57	59	70	57	60	55	56	60	72	47	46	32	34	60	0
Rayé
1	Hugo Fagerblom	100.00	51	47	38	47	46	41	39	50	38	48	41	41	41	57	19	43	0

	MOYENNE D'ÉQUIPE	100.00	62	56	55	58	61	55	55	56	54	58	59	48	47	41	29	56

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Lanne MacDonald	75	58	63	70	34	62	37	USA	69	3	325,000$

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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	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	William Karlsson	Bears (Was)	C	74	55	78	133	-14	26	0	153	200	282	77	167	19.50%	73	1767	23.88	11	27	38	39	219	4	1	5	8	212	3	3	52.35%	2023	56	49	0	3	1.51	0	4	0	0	0	11	5	5
2	Dany Roussin	Bears (Was)	LW	69	46	72	118	-6	32	10	139	134	303	99	181	15.18%	54	1631	23.64	19	19	38	52	214	0	4	4	9	183	7	2	54.22%	166	69	27	1	0	1.45	4	6	0	1	1	9	5	9
3	Brayden Point	Bears (Was)	C	79	29	46	75	-7	37	5	136	144	200	57	130	14.50%	41	1509	19.11	8	19	27	34	219	0	2	2	6	93	1	0	46.74%	1243	33	32	0	0	0.99	2	8	0	0	1	4	3	4
4	Trevor Lewis	Bears (Was)	C	76	30	37	67	-22	20	0	113	122	205	70	112	14.63%	31	1175	15.46	4	8	12	15	99	3	1	4	8	78	1	1	50.40%	756	42	21	0	0	1.14	2	6	0	0	0	4	3	3
5	Jamie McGinn	Bears (Was)	LW	80	32	26	58	-31	47	5	141	135	184	43	113	17.39%	40	1213	15.17	7	6	13	22	97	1	0	1	2	66	3	2	59.09%	66	31	31	0	0	0.96	1	6	0	0	1	2	5	3
6	Mike Hoffman	Bears (Was)	LW	47	19	30	49	-5	24	0	81	86	154	59	119	12.34%	26	894	19.04	5	7	12	16	112	1	0	1	5	65	1	2	58.97%	39	47	17	0	0	1.10	0	1	0	0	0	2	2	1
7	Brock McGinn	Bears (Was)	LW	39	27	22	49	-9	37	5	64	62	170	53	85	15.88%	17	856	21.97	8	9	17	20	116	2	0	2	5	112	1	0	48.96%	96	41	12	1	0	1.14	1	3	1	0	0	2	4	1
8	Mikko Vainonen	Bears (Was)	D	76	10	35	45	-26	47	5	78	145	102	58	50	9.80%	123	1951	25.67	7	9	16	22	251	0	0	0	5	222	1	1	0.00%	0	19	79	0	0	0.46	0	0	0	1	0	1	3	1
9	Colton Sceviour	Bears (Was)	RW	72	20	22	42	1	45	5	98	64	81	25	51	24.69%	29	1220	16.96	9	6	15	22	218	0	0	0	0	0	2	0	38.82%	85	8	22	0	1	0.69	0	0	0	1	0	1	0	2
10	Gianluca Curcuruto	Bears (Was)	D	74	7	34	41	-21	78	0	121	154	79	34	35	8.86%	103	1832	24.77	2	9	11	12	202	0	1	1	4	208	2	0	0.00%	1	16	65	0	0	0.45	0	0	0	0	0	0	1	0
11	Angelo Esposito	Bears (Was)	C	72	16	23	39	-19	29	5	92	101	125	48	84	12.80%	38	1017	14.13	3	2	5	11	58	0	0	0	0	0	3	0	59.81%	321	22	17	0	0	0.77	3	3	0	0	1	0	2	0
12	Austin Poganski	Bears (Was)	RW	80	14	14	28	-18	42	0	117	118	78	25	50	17.95%	39	1390	17.38	2	6	8	8	186	0	0	0	0	0	4	1	39.39%	66	13	26	0	0	0.40	0	0	0	0	0	1	2	1
13	Artturi Lehkonen	Bears (Was)	LW	80	12	15	27	-24	30	0	53	58	113	42	74	10.62%	26	823	10.29	1	3	4	3	24	0	0	0	0	0	1	0	56.00%	25	24	16	0	0	0.66	0	0	0	0	0	0	0	2
14	Zach Stepan	Bears (Was)	C	80	8	12	20	-14	10	0	57	87	61	20	33	13.11%	32	760	9.51	0	0	0	0	13	0	0	0	2	41	0	0	41.71%	211	9	15	0	0	0.53	0	2	0	0	0	0	0	1
15	Jesper Pettersson	Bears (Was)	D	76	1	12	13	-22	49	5	49	62	31	13	15	3.23%	53	1380	18.16	1	3	4	4	124	0	2	2	1	122	0	0	0.00%	0	9	32	0	0	0.19	0	0	0	0	1	0	0	0
16	Ryan Graves	Bears (Was)	D	67	1	10	11	-12	26	0	36	71	28	19	10	3.57%	66	970	14.48	1	3	4	1	30	0	0	0	0	55	0	0	0.00%	0	6	37	0	0	0.23	0	0	0	0	0	0	0	1
17	Emil Johansson	Bears (Was)	D	68	0	9	9	-11	54	10	53	96	46	16	15	0.00%	79	1404	20.65	0	0	0	5	141	0	0	0	1	154	0	0	0.00%	0	11	35	0	0	0.13	0	0	1	0	0	0	0	0
18	Jakob Lilja	Bears (Was)	LW	70	3	5	8	-6	6	0	38	36	31	7	16	9.68%	6	483	6.91	1	0	1	2	14	0	0	0	5	73	0	0	48.48%	33	8	10	0	0	0.33	0	0	0	0	0	0	1	0
19	Nikolay Prokhorkin	Bears (Was)	LW	70	1	7	8	-3	4	0	14	25	22	8	19	4.55%	5	332	4.75	0	1	1	1	8	0	0	0	0	7	0	0	53.85%	26	3	1	0	0	0.48	0	0	0	0	0	0	0	0
20	Vincent Dunn	Bears (Was)	C	80	1	2	3	-6	0	0	5	10	7	0	3	14.29%	3	179	2.24	0	0	0	0	5	0	0	0	1	37	0	0	28.57%	21	0	2	0	0	0.33	0	0	0	0	0	0	1	0
21	Mackenze Stewart	Bears (Was)	D	80	0	1	1	-3	38	0	22	29	15	8	5	0.00%	25	944	11.81	0	0	0	0	9	0	0	0	0	55	0	0	0.00%	0	3	13	0	0	0.02	0	0	0	0	0	0	0	0
22	Colby Cave	Bears (Was)	C	70	0	0	0	-1	0	0	0	0	1	1	4	0.00%	0	46	0.66	0	0	0	0	0	0	0	0	0	19	0	0	28.57%	14	0	0	0	0	0.00	0	0	0	0	0	0	0	0
23	Jarrod Maidens	Bears (Was)	C	70	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	2	0.03	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0	0
24	Artur Gavrus	Bears (Was)	C	70	0	0	0	0	0	0	2	0	0	0	0	0.00%	1	15	0.22	0	0	0	0	0	0	0	0	0	7	0	0	0.00%	1	0	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1719	332	512	844	-279	681	55	1662	1939	2318	782	1371	14.32%	910	23803	13.85	89	137	226	289	2370	11	11	22	62	1819	30	12	50.32%	5193	470	559	2	4	0.71	13	39	2	3	5	37	37	34

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Niklas Treutle	Bears (Was)	67	23	28	7	0.877	4.06	3476	2	235	1915	1014	5	2	0.517	29	59	21	4	1	2
2	Sergei Kostenko	Bears (Was)	32	9	13	0	0.858	4.96	1356	2	112	791	450	4	1	0.800	5	21	56	0	0	0
Stats d'équipe Total ou en Moyenne			99	32	41	7	0.872	4.31	4833	4	347	2706	1464	9	3	0.559	34	80	77	4	1	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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4
Angelo Esposito	Bears (Was)	C	26	1989-01-01	No	190 Lbs	6 ft0	No	No	No	3	Pro & Farm	550,000$	0$	0$	No	550,000$	550,000$
Artturi Lehkonen	Bears (Was)	LW	20	1995-01-01	Yes	185 Lbs	5 ft11	No	No	No	4	Pro & Farm	500,000$	0$	0$	No	500,000$	500,000$	500,000$
Artur Gavrus	Bears (Was)	C	21	1994-01-01	Yes	175 Lbs	5 ft9	No	No	No	1	Pro & Farm	300,000$	0$	0$	No
Austin Poganski	Bears (Was)	RW	19	1996-01-01	Yes	198 Lbs	5 ft11	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Brayden Point	Bears (Was)	C	19	1996-01-01	Yes	166 Lbs	5 ft10	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Brock McGinn (Sur la Masse Salariale)	Bears (Was)	LW	21	1994-01-01	Yes	174 Lbs	5 ft11	No	No	No	3	Pro & Farm	950,000$	0$	0$	Yes	1,100,000$	1,500,000$
Colby Cave	Bears (Was)	C	21	1994-01-01	Yes	185 Lbs	6 ft1	No	No	No	2	Pro & Farm	360,000$	0$	0$	No	360,000$
Colton Sceviour	Bears (Was)	RW	26	1989-01-01	No	201 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Dany Roussin	Bears (Was)	LW	30	1985-01-01	No	190 Lbs	6 ft2	No	No	No	1	Farm Only	450,000$	0$	0$	No
Emil Johansson	Bears (Was)	D	19	1996-01-01	Yes	189 Lbs	5 ft11	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Gianluca Curcuruto	Bears (Was)	D	21	1994-01-01	Yes	195 Lbs	6 ft0	No	No	No	1	Farm Only	300,000$	0$	0$	No
Hugo Fagerblom	Bears (Was)	G	19	1996-01-01	No	202 Lbs	6 ft6	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Jakob Lilja	Bears (Was)	LW	22	1993-01-01	Yes	196 Lbs	6 ft1	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Jamie McGinn	Bears (Was)	LW	27	1988-01-01	No	205 Lbs	6 ft1	No	No	No	2	Pro & Farm	425,000$	0$	0$	No	425,000$
Jarrod Maidens	Bears (Was)	C	21	1994-01-01	Yes	178 Lbs	6 ft0	No	No	No	1	Pro & Farm	300,000$	0$	0$	No
Jesper Pettersson	Bears (Was)	D	20	1995-01-01	Yes	189 Lbs	5 ft9	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Mackenze Stewart	Bears (Was)	D	19	1996-01-01	Yes	230 Lbs	6 ft4	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Mike Hoffman	Bears (Was)	LW	26	1989-01-01	No	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	950,000$	0$	0$	No
Mikko Vainonen	Bears (Was)	D	21	1994-01-01	Yes	222 Lbs	6 ft2	No	No	No	2	Pro & Farm	280,000$	0$	0$	No	300,000$
Niklas Treutle	Bears (Was)	G	25	1990-01-01	No	185 Lbs	6 ft2	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$
Nikolay Prokhorkin	Bears (Was)	LW	22	1993-01-01	Yes	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	375,000$	0$	0$	No
Ryan Graves	Bears (Was)	D	20	1995-01-01	Yes	225 Lbs	6 ft4	No	No	No	2	Pro & Farm	450,000$	0$	0$	No	450,000$
Sergei Kostenko	Bears (Was)	G	23	1992-01-01	No	187 Lbs	5 ft11	No	No	No	1	Pro & Farm	300,000$	0$	0$	No
Trevor Lewis	Bears (Was)	C	28	1987-01-01	No	195 Lbs	6 ft1	No	No	No	1	Pro & Farm	850,000$	0$	0$	No
Vincent Dunn	Bears (Was)	C	20	1995-01-01	Yes	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	360,000$	0$	0$	No	360,000$
William Karlsson	Bears (Was)	C	22	1993-01-01	Yes	188 Lbs	6 ft1	No	No	No	1	Pro & Farm	800,000$	0$	0$	No
Zach Stepan	Bears (Was)	C	21	1994-01-01	Yes	165 Lbs	5 ft11	No	No	No	1	Pro & Farm	475,000$	0$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
27	22.19	192 Lbs	6 ft0	1.59	508,333$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Dany Roussin	William Karlsson	Colton Sceviour	40	1	2	2
2	Mike Hoffman	Brayden Point	Austin Poganski	30	1	2	2
3	Jamie McGinn	Trevor Lewis	Angelo Esposito	20	1	2	2
4	Artturi Lehkonen	Angelo Esposito	William Karlsson	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mikko Vainonen	Gianluca Curcuruto	40	1	2	2
2	Emil Johansson	Jesper Pettersson	30	1	2	2
3	Ryan Graves	Mackenze Stewart	20	1	2	2
4	Mikko Vainonen	Gianluca Curcuruto	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Dany Roussin	William Karlsson	Colton Sceviour	60	1	2	2
2	Mike Hoffman	Brayden Point	Austin Poganski	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mikko Vainonen	Gianluca Curcuruto	60	1	2	2
2	Emil Johansson	Jesper Pettersson	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	William Karlsson	Dany Roussin	60	1	2	2
2	Brayden Point	Trevor Lewis	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mikko Vainonen	Gianluca Curcuruto	60	1	2	2
2	Emil Johansson	Jesper Pettersson	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	William Karlsson	60	1	2	2	Mikko Vainonen	Gianluca Curcuruto	60	1	2	2
2	Dany Roussin	40	1	2	2	Emil Johansson	Jesper Pettersson	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	William Karlsson	Dany Roussin	60	1	2	2
2	Brayden Point	Trevor Lewis	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mikko Vainonen	Gianluca Curcuruto	60	1	2	2
2	Emil Johansson	Jesper Pettersson	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Dany Roussin	William Karlsson	Colton Sceviour	Mikko Vainonen	Gianluca Curcuruto

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Dany Roussin	William Karlsson	Colton Sceviour	Mikko Vainonen	Gianluca Curcuruto

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Zach Stepan, Vincent Dunn, Jamie McGinn	Zach Stepan, Vincent Dunn	Jamie McGinn

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ryan Graves, Mackenze Stewart, Emil Johansson	Ryan Graves	Mackenze Stewart, Emil Johansson

Tirs de Pénalité
William Karlsson, Dany Roussin, Brayden Point, Trevor Lewis, Mike Hoffman

Gardien
#1 : Sergei Kostenko, #2 : Niklas Treutle

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	Admirals	3	2	1	0	0	0	0	0	9	13	-4	1	0	1	0	0	0	0	0	0	7	-7	2	2	0	0	0	0	0	0	9	6	3	4	0.667	9	14	23	0	0	80	102	125	11	88	686	744	787	44	102	33	18	52	17	5	29.41%	9	2	77.78%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
2	Barracuda	3	1	2	0	0	0	0	0	8	9	-1	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	2	3	-1	2	0.333	8	11	19	0	0	80	102	125	11	104	686	744	787	44	114	36	16	59	13	3	23.08%	7	3	57.14%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
3	Checkers	3	1	2	0	0	0	0	0	10	14	-4	1	1	0	0	0	0	0	0	6	5	1	2	0	2	0	0	0	0	0	4	9	-5	2	0.333	10	15	25	1	0	80	102	125	11	91	686	744	787	44	91	54	16	60	12	3	25.00%	8	1	87.50%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
4	Comets	5	2	2	0	0	0	0	1	19	21	-2	3	2	0	0	0	0	0	1	15	11	4	2	0	2	0	0	0	0	0	4	10	-6	5	0.500	19	30	49	0	0	80	102	125	11	141	686	744	787	44	161	56	42	100	18	6	33.33%	21	4	80.95%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
5	Condors	3	0	2	0	0	1	0	0	11	15	-4	2	0	2	0	0	0	0	0	9	12	-3	1	0	0	0	0	1	0	0	2	3	-1	1	0.167	11	18	29	1	0	80	102	125	11	82	686	744	787	44	83	53	30	57	18	4	22.22%	15	3	80.00%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
6	Crunch	2	0	0	0	0	0	1	1	9	9	0	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	0	0	1	0	6	5	1	3	0.750	9	13	22	0	0	80	102	125	11	61	686	744	787	44	72	23	18	44	7	1	14.29%	9	1	88.89%	1	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
7	Devils	2	1	1	0	0	0	0	0	13	9	4	1	1	0	0	0	0	0	0	8	1	7	1	0	1	0	0	0	0	0	5	8	-3	2	0.500	13	24	37	0	0	80	102	125	11	59	686	744	787	44	73	30	6	47	12	5	41.67%	3	0	100.00%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
8	Eagles	3	0	2	0	0	1	0	0	10	18	-8	1	0	1	0	0	0	0	0	4	5	-1	2	0	1	0	0	1	0	0	6	13	-7	1	0.167	10	19	29	0	0	80	102	125	11	73	686	744	787	44	110	40	46	65	11	2	18.18%	13	3	76.92%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
9	Griffins	3	1	2	0	0	0	0	0	10	14	-4	1	0	1	0	0	0	0	0	2	5	-3	2	1	1	0	0	0	0	0	8	9	-1	2	0.333	10	18	28	0	0	80	102	125	11	83	686	744	787	44	98	30	26	55	6	3	50.00%	13	1	92.31%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
10	Heat	3	0	2	0	0	0	1	0	13	16	-3	1	0	1	0	0	0	0	0	4	5	-1	2	0	1	0	0	0	1	0	9	11	-2	2	0.333	13	23	36	0	0	80	102	125	11	74	686	744	787	44	105	42	16	62	13	4	30.77%	8	0	100.00%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
11	IceHogs	3	3	0	0	0	0	0	0	21	11	10	2	2	0	0	0	0	0	0	15	6	9	1	1	0	0	0	0	0	0	6	5	1	6	1.000	21	32	53	0	0	80	102	125	11	92	686	744	787	44	105	36	45	68	15	5	33.33%	20	4	80.00%	1	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
12	Influenza	6	4	2	0	0	0	0	0	24	18	6	3	3	0	0	0	0	0	0	13	5	8	3	1	2	0	0	0	0	0	11	13	-2	8	0.667	24	39	63	0	0	80	102	125	11	165	686	744	787	44	189	63	45	124	23	4	17.39%	20	3	85.00%	1	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
13	Little Stars	2	1	1	0	0	0	0	0	11	13	-2	1	0	1	0	0	0	0	0	3	8	-5	1	1	0	0	0	0	0	0	8	5	3	2	0.500	11	15	26	0	0	80	102	125	11	62	686	744	787	44	73	27	26	31	6	2	33.33%	13	6	53.85%	1	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
14	Monsters	3	1	2	0	0	0	0	0	17	19	-2	1	1	0	0	0	0	0	0	6	4	2	2	0	2	0	0	0	0	0	11	15	-4	2	0.333	17	26	43	0	0	80	102	125	11	84	686	744	787	44	113	38	22	55	10	2	20.00%	11	4	63.64%	1	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
15	Moose	3	1	2	0	0	0	0	0	7	13	-6	2	1	1	0	0	0	0	0	6	8	-2	1	0	1	0	0	0	0	0	1	5	-4	2	0.333	7	12	19	0	0	80	102	125	11	61	686	744	787	44	113	31	22	71	8	4	50.00%	11	3	72.73%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
16	Penguins	4	2	2	0	0	0	0	0	19	18	1	2	1	1	0	0	0	0	0	9	8	1	2	1	1	0	0	0	0	0	10	10	0	4	0.500	19	32	51	0	0	80	102	125	11	123	686	744	787	44	134	33	35	82	13	3	23.08%	15	2	86.67%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
17	Phantoms	3	1	1	0	0	0	1	0	9	8	1	1	1	0	0	0	0	0	0	3	1	2	2	0	1	0	0	0	1	0	6	7	-1	4	0.667	9	12	21	0	0	80	102	125	11	102	686	744	787	44	99	31	20	58	17	2	11.76%	9	3	66.67%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
18	Punishers	3	2	1	0	0	0	0	0	16	12	4	2	1	1	0	0	0	0	0	11	9	2	1	1	0	0	0	0	0	0	5	3	2	4	0.667	16	23	39	0	0	80	102	125	11	75	686	744	787	44	97	35	18	62	10	3	30.00%	9	3	66.67%	2	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
19	Rampage	2	0	2	0	0	0	0	0	1	9	-8	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	1	1	2	0	0	80	102	125	11	48	686	744	787	44	63	18	31	42	5	1	20.00%	9	5	44.44%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
20	Reign	6	2	3	0	0	1	0	0	21	28	-7	3	1	1	0	0	1	0	0	8	12	-4	3	1	2	0	0	0	0	0	13	16	-3	5	0.417	21	32	53	0	0	80	102	125	11	161	686	744	787	44	185	79	39	125	20	5	25.00%	16	4	75.00%	1	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
21	Rocket	3	1	1	0	0	0	0	1	15	16	-1	2	0	1	0	0	0	0	1	9	11	-2	1	1	0	0	0	0	0	0	6	5	1	3	0.500	15	23	38	0	0	80	102	125	11	78	686	744	787	44	115	42	20	66	12	5	41.67%	9	4	55.56%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
22	Senators	2	1	1	0	0	0	0	0	8	10	-2	1	1	0	0	0	0	0	0	7	3	4	1	0	1	0	0	0	0	0	1	7	-6	2	0.500	8	14	22	0	0	80	102	125	11	61	686	744	787	44	75	24	14	43	7	1	14.29%	7	2	71.43%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
23	Sound Tigers	6	1	5	0	0	0	0	0	17	25	-8	3	0	3	0	0	0	0	0	6	13	-7	3	1	2	0	0	0	0	0	11	12	-1	2	0.167	17	26	43	1	0	80	102	125	11	144	686	744	787	44	202	70	52	105	28	6	21.43%	21	4	80.95%	1	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
24	Thunderbirds	2	1	1	0	0	0	0	0	9	10	-1	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	6	5	1	2	0.500	9	15	24	0	0	80	102	125	11	61	686	744	787	44	65	16	16	40	6	3	50.00%	9	3	66.67%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
25	Wolfpack	2	0	1	0	0	0	0	1	3	6	-3	1	0	1	0	0	0	0	0	2	4	-2	1	0	0	0	0	0	0	1	1	2	-1	1	0.250	3	5	8	0	0	80	102	125	11	55	686	744	787	44	72	26	12	45	4	0	0.00%	6	0	100.00%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
	Total	80	29	41	0	0	3	3	4	310	354	-44	40	17	19	0	0	1	0	3	159	162	-3	40	12	22	0	0	2	3	1	151	192	-41	71	0.444	310	492	802	3	0	80	102	125	11	2228	686	744	787	44	2709	966	651	1618	311	82	26.37%	291	68	76.63%	9	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
	_Since Last GM Reset	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	80	102	125	11	32	686	744	787	44	26	16	16	25	5	1	20.00%	8	1	87.50%	0	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
	_Vs Conference	45	18	23	0	0	2	1	1	169	189	-20	23	10	11	0	0	1	0	1	83	90	-7	22	8	12	0	0	1	1	0	86	99	-13	41	0.456	169	263	432	2	0	80	102	125	11	1244	686	744	787	44	1518	542	355	895	187	48	25.67%	161	38	76.40%	5	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770
	_Vs Division	18	7	10	0	0	1	0	0	62	71	-9	9	4	4	0	0	1	0	0	27	30	-3	9	3	6	0	0	0	0	0	35	41	-6	15	0.417	62	97	159	1	0	80	102	125	11	470	686	744	787	44	576	212	136	354	71	15	21.13%	57	11	80.70%	3	814	1573	51.75%	851	1733	49.11%	665	1305	50.96%	1516	747	1789	789	1531	770

			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
80	71	W1	310	492	802	2228	2709	966	651	1618	3	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
80	29	41	0	3	3	4	310	354

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	17	19	0	1	0	3	159	162

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	12	22	0	2	3	1	151	192

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
7	3	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
311	82	26.37%	291	68	76.63%	9

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
686	744	787	44	80	102	125	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
814	1573	51.75%	851	1733	49.11%	665	1305	50.96%

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
1516	747	1789	789	1531	770

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 - 2020-10-10	8	Comets	3	Bears	5	W			Sommaire du Match
5 - 2020-10-13	28	Reign	7	Bears	3	L			Sommaire du Match
9 - 2020-10-17	45	Bears	0	Sound Tigers	4	L			Sommaire du Match
11 - 2020-10-19	57	Sound Tigers	5	Bears	2	L			Sommaire du Match
12 - 2020-10-20	61	Bears	1	Reign	5	L			Sommaire du Match
15 - 2020-10-23	80	Influenza	1	Bears	3	W			Sommaire du Match
17 - 2020-10-25	94	Bears	3	Influenza	5	L			Sommaire du Match
19 - 2020-10-27	105	Bears	7	Penguins	3	W			Sommaire du Match
21 - 2020-10-29	116	Penguins	1	Bears	5	W			Sommaire du Match
23 - 2020-10-31	125	Bears	7	Sound Tigers	2	W			Sommaire du Match
26 - 2020-11-03	138	Bears	8	Reign	6	W			Sommaire du Match
27 - 2020-11-04	146	Bears	3	Griffins	7	L			Sommaire du Match
28 - 2020-11-05	154	Moose	6	Bears	2	L			Sommaire du Match
32 - 2020-11-09	174	Bears	6	Influenza	5	W			Sommaire du Match
33 - 2020-11-10	181	Sound Tigers	4	Bears	2	L			Sommaire du Match
36 - 2020-11-13	195	Influenza	2	Bears	6	W			Sommaire du Match
38 - 2020-11-15	203	Bears	2	Comets	5	L			Sommaire du Match
40 - 2020-11-17	217	Bears	6	Rocket	5	W			Sommaire du Match
43 - 2020-11-20	229	Reign	3	Bears	2	L	X		Sommaire du Match
45 - 2020-11-22	246	Bears	1	Moose	5	L			Sommaire du Match
47 - 2020-11-24	253	Bears	4	Phantoms	3	W	X	X	Sommaire du Match
48 - 2020-11-25	259	Penguins	7	Bears	4	L			Sommaire du Match
51 - 2020-11-28	275	Bears	1	Senators	7	L			Sommaire du Match
53 - 2020-11-30	284	Bears	2	Eagles	3	L	X		Sommaire du Match
54 - 2020-12-01	288	Moose	2	Bears	4	W			Sommaire du Match
58 - 2020-12-05	310	Bears	4	Eagles	10	L			Sommaire du Match
59 - 2020-12-06	315	Rocket	5	Bears	4	L			Sommaire du Match
63 - 2020-12-10	337	Crunch	4	Bears	3	L	X	X	Sommaire du Match
65 - 2020-12-12	353	Bears	2	Barracuda	3	L			Sommaire du Match
68 - 2020-12-15	363	Sound Tigers	4	Bears	2	L			Sommaire du Match
70 - 2020-12-17	375	Bears	3	Checkers	6	L			Sommaire du Match
73 - 2020-12-20	387	Devils	1	Bears	8	W			Sommaire du Match
77 - 2020-12-24	406	Bears	1	Wolfpack	2	L	X	X	Sommaire du Match
78 - 2020-12-25	415	Admirals	7	Bears	0	L			Sommaire du Match
81 - 2020-12-28	429	Bears	2	Comets	5	L			Sommaire du Match
83 - 2020-12-30	439	Thunderbirds	5	Bears	3	L			Sommaire du Match
85 - 2021-01-01	454	Bears	0	Rampage	5	L			Sommaire du Match
88 - 2021-01-04	465	Influenza	2	Bears	4	W			Sommaire du Match
90 - 2021-01-06	478	Bears	3	Penguins	7	L			Sommaire du Match
92 - 2021-01-08	489	Bears	2	Condors	3	L	X		Sommaire du Match
93 - 2021-01-09	494	Rocket	6	Bears	5	L	X	X	Sommaire du Match
98 - 2021-01-14	516	Checkers	5	Bears	6	W			Sommaire du Match
100 - 2021-01-16	525	Bears	6	Crunch	5	W	X	X	Sommaire du Match
104 - 2021-01-20	539	Bears	2	Phantoms	4	L			Sommaire du Match
105 - 2021-01-21	544	Barracuda	2	Bears	4	W			Sommaire du Match
109 - 2021-01-25	566	Wolfpack	4	Bears	2	L			Sommaire du Match
111 - 2021-01-27	577	Bears	6	Heat	5	W	X	X	Sommaire du Match
113 - 2021-01-29	593	Little Stars	8	Bears	3	L			Sommaire du Match
115 - 2021-01-31	600	Bears	4	Sound Tigers	6	L			Sommaire du Match
117 - 2021-02-02	613	Bears	4	Reign	5	L			Sommaire du Match
119 - 2021-02-04	622	Heat	5	Bears	4	L			Sommaire du Match
121 - 2021-02-06	632	Bears	5	Punishers	3	W			Sommaire du Match
124 - 2021-02-09	647	Griffins	5	Bears	2	L			Sommaire du Match
127 - 2021-02-12	665	Bears	4	Admirals	3	W			Sommaire du Match
128 - 2021-02-13	673	IceHogs	4	Bears	10	W			Sommaire du Match
131 - 2021-02-16	682	Bears	6	IceHogs	5	W			Sommaire du Match
133 - 2021-02-18	696	Bears	6	Monsters	8	L			Sommaire du Match
134 - 2021-02-19	701	Phantoms	1	Bears	3	W			Sommaire du Match
137 - 2021-02-22	716	Bears	1	Checkers	3	L			Sommaire du Match
139 - 2021-02-24	727	Punishers	1	Bears	6	W			Sommaire du Match
144 - 2021-03-01	751	Rampage	4	Bears	1	L			Sommaire du Match
146 - 2021-03-03	757	Bears	5	Devils	8	L			Sommaire du Match
148 - 2021-03-05	770	Bears	3	Heat	6	L			Sommaire du Match
150 - 2021-03-07	780	Comets	5	Bears	4	L	X	X	Sommaire du Match
152 - 2021-03-09	792	Bears	5	Griffins	2	W			Sommaire du Match
156 - 2021-03-13	804	Condors	5	Bears	4	L			Sommaire du Match
158 - 2021-03-15	813	Bears	8	Little Stars	5	W			Sommaire du Match
159 - 2021-03-16	824	Bears	5	Monsters	7	L			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
161 - 2021-03-18	832	Eagles	5	Bears	4	L			Sommaire du Match
165 - 2021-03-22	851	Bears	2	Influenza	3	L			Sommaire du Match
166 - 2021-03-23	858	Monsters	4	Bears	6	W			Sommaire du Match
171 - 2021-03-28	884	Punishers	8	Bears	5	L			Sommaire du Match
172 - 2021-03-29	888	Bears	6	Thunderbirds	5	W			Sommaire du Match
175 - 2021-04-01	905	Bears	5	Admirals	3	W			Sommaire du Match
176 - 2021-04-02	910	Comets	3	Bears	6	W			Sommaire du Match
182 - 2021-04-08	936	Barracuda	4	Bears	2	L			Sommaire du Match
188 - 2021-04-14	962	Reign	2	Bears	3	W			Sommaire du Match
193 - 2021-04-19	988	Senators	3	Bears	7	W			Sommaire du Match
198 - 2021-04-24	1013	Condors	7	Bears	5	L			Sommaire du Match
203 - 2021-04-29	1036	IceHogs	2	Bears	5	W			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	40	20
Assistance	52,970	26,945
Assistance PCT	66.21%	67.36%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
0	1998 - 66.60%	69,765$	2,790,585$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,634,694$	1,277,500$	1,254,500$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
6,232$	1,306,380$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	7,817$	0$

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

	Bears
	GP: 80 \| W: 32 \| L: 41 \| OTL: 7 \| P: 71 GF: 310 \| GA: 354 \| PP%: 26.37% \| PK%: 76.63% DG: Jean-Manuel Estrela \| Morale : 20 \| Moyenne d'Équipe : 59