Stanley Cup Winners Hockey League

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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	Robert Thomas	0	X				100.00	53	39	88	73	74	83	81	72	80	77	64	63	72	61	64	82	99	71	0	21	4	2,000,000$
2	Curtis McKenzie	0		X			100.00	67	59	80	62	81	88	89	60	63	61	58	64	62	77	69	54	99	70	0	29	3	750,000$
3	Filip Chytil	0	X				100.00	64	42	86	68	82	76	81	67	83	65	64	66	70	61	64	82	99	69	0	20	5	900,000$
4	Carter Camper	0	X				100.00	54	43	86	61	65	86	83	59	68	64	57	61	59	80	72	53	99	67	0	32	3	750,000$
5	Denis Malgin	0	X				100.00	67	38	86	66	65	78	80	64	77	65	62	61	66	65	63	61	99	67	0	23	3	1,200,000$
6	Janne Kuokkanen	0	X				100.00	61	43	89	64	76	77	74	63	58	62	59	61	64	63	61	74	99	66	0	22	5	825,000$
7	Lias Andersson	0	X				100.00	63	42	84	61	75	77	78	62	74	58	59	60	65	63	62	87	99	65	0	21	3	900,000$
8	Cooper Marody (R)	0	X				100.00	58	43	88	63	71	75	78	61	67	62	59	60	63	67	64	61	99	65	0	23	3	750,000$
9	Jakob Forsbacka Karlsson	0	X				100.00	56	35	75	68	74	64	64	68	70	63	61	58	64	51	50	73	99	63	0	23	3	750,000$
10	Alexander Nylander	0		X	X		100.00	51	35	71	69	76	56	56	69	54	63	63	54	64	51	50	87	99	61	0	22	3	750,000$
11	Victor Ejdsell	0	X				100.00	64	89	67	68	92	50	50	68	50	58	58	50	58	50	50	43	99	60	0	25	5	750,000$
12	Max Gortz (R)	0			X		100.00	49	35	79	68	77	47	43	57	30	54	50	51	53	60	50	71	99	56	0	27	1	750,000$
13	Grayson Downing	0	X		X		100.00	50	89	69	56	73	47	50	56	70	52	52	50	52	50	50	37	99	54	0	28	5	750,000$
14	Kyle Wood	0				X	100.00	86	55	84	59	99	88	87	58	30	57	54	62	46	67	64	63	99	70	0	24	6	750,000$
15	Tyler Wotherspoon	0				X	100.00	68	48	89	59	82	87	89	58	30	57	53	56	45	73	67	59	99	67	0	27	4	750,000$
16	Oliver Kylington	0				X	100.00	58	39	89	65	71	75	77	64	30	62	63	61	54	65	63	67	99	66	0	23	3	750,000$
17	Gustav Forsling	0				X	100.00	59	42	87	65	72	78	71	63	30	64	62	61	55	67	64	57	99	66	0	24	3	1,500,000$
18	Gustav Lindstrom (R)	0				X	100.00	63	42	83	57	78	81	70	55	30	56	55	60	45	63	62	74	99	63	0	21	3	750,000$
19	Niklas Hansson (R)	0				X	100.00	50	89	65	64	73	49	50	64	30	54	54	50	54	50	50	43	99	56	0	25	2	800,000$
20	Trevor Murphy	0				X	100.00	50	89	56	68	66	50	50	68	30	50	45	51	55	50	50	43	99	54	0	25	3	750,000$
Rayé

	MOYENNE D'ÉQUIPE					100.00	60	52	80	64	76	71	70	63	53	60	58	58	58	62	59	64	99	64

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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	Jon Gillies	100.00	70	87	85	97	69	68	70	69	68	70	69	71	75	62	99	67	0
2	Spencer Martin	100.00	68	77	75	83	67	66	68	67	66	68	67	69	73	65	99	64	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	69	82	80	90	68	67	69	68	67	69	68	70	74	64	99	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Willie Desjardins	73	71	71	74	84	84	44	CAN	64	2	400,000$

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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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	S1	S2	S3
1	Robert Thomas	STOCKTON Flames (CGY)	C	44	26	36	62	26	4	25	107	202	54	139	12.87%	14	965	21.94	8	7	15	37	105	0	1	1	2	173	5	1	64.80%	1247	0	0	1	1.28	5	4	4
2	Curtis McKenzie	STOCKTON Flames (CGY)	LW	54	27	34	61	21	24	142	91	277	76	192	9.75%	19	1396	25.86	3	9	12	31	134	1	0	1	4	171	2	1	60.00%	110	0	0	0	0.87	7	2	3
3	Denis Malgin	STOCKTON Flames (CGY)	C	61	24	25	49	26	28	85	93	205	56	135	11.71%	11	934	15.31	2	3	5	3	17	3	0	3	3	41	3	1	66.75%	385	0	0	1	1.05	2	2	4
4	Filip Chytil	STOCKTON Flames (CGY)	C	44	15	29	44	19	14	34	78	167	42	105	8.98%	17	760	17.29	2	9	11	20	97	1	1	2	10	115	1	1	67.46%	919	0	0	1	1.16	1	3	3
5	Alexander Nylander	STOCKTON Flames (CGY)	LW/RW	61	22	21	43	14	10	67	58	209	58	150	10.53%	13	1080	17.71	4	5	9	22	113	0	1	1	6	134	1	1	49.46%	93	0	1	2	0.80	3	1	2
6	Carter Camper	STOCKTON Flames (CGY)	C	44	16	24	40	31	6	27	72	117	36	62	13.68%	11	708	16.11	0	0	0	0	0	0	0	0	0	0	3	0	61.46%	698	0	0	0	1.13	1	1	4
7	Janne Kuokkanen	STOCKTON Flames (CGY)	C	61	22	17	39	30	20	50	46	168	51	119	13.10%	7	713	11.69	0	0	0	0	0	0	0	0	0	2	5	0	72.09%	43	0	0	2	1.09	2	2	2
8	Oliver Kylington	STOCKTON Flames (CGY)	D	61	6	31	37	12	20	60	36	109	33	72	5.50%	57	1158	19.00	3	10	13	56	123	0	0	0	3	165	2	0	0.00%	0	0	2	0	0.64	0	1	2
9	Gustav Forsling	STOCKTON Flames (CGY)	D	61	13	24	37	12	18	98	38	121	41	67	10.74%	57	1156	18.97	7	10	17	59	123	0	2	2	1	163	1	0	0.00%	0	0	2	1	0.64	3	0	1
10	Kyle Wood	STOCKTON Flames (CGY)	D	44	2	33	35	34	88	120	37	70	19	34	2.86%	49	1091	24.81	1	8	9	26	107	0	0	0	0	118	1	0	0.00%	0	0	0	0	0.64	1	2	0
11	Lias Andersson	STOCKTON Flames (CGY)	C	61	10	24	34	32	32	61	34	111	36	69	9.01%	10	706	11.58	0	0	0	0	0	0	0	0	0	0	1	0	60.47%	43	0	0	0	0.96	0	1	2
12	Tyler Wotherspoon	STOCKTON Flames (CGY)	D	61	10	20	30	16	28	71	46	94	25	60	10.64%	82	1186	19.45	7	5	12	54	154	0	1	1	0	182	1	0	0.00%	0	0	8	0	0.51	2	1	0
13	Gustav Lindstrom	STOCKTON Flames (CGY)	D	61	6	24	30	32	50	101	26	48	17	37	12.50%	50	884	14.49	1	0	1	4	5	0	1	1	1	62	2	0	0.00%	0	1	1	0	0.68	0	1	0
14	Niklas Hansson	STOCKTON Flames (CGY)	D	61	5	13	18	32	38	53	17	29	13	21	17.24%	27	827	13.56	0	1	1	0	1	0	1	1	0	24	0	0	0.00%	0	0	2	0	0.44	0	1	0
15	Trevor Murphy	STOCKTON Flames (CGY)	D	61	2	14	16	1	22	42	15	26	11	26	7.69%	33	490	8.04	0	0	0	0	1	0	0	0	0	5	0	0	0.00%	0	0	1	0	0.65	0	1	0
16	Max Gortz	STOCKTON Flames (CGY)	RW	44	5	2	7	0	8	7	11	33	9	14	15.15%	1	292	6.65	1	1	2	9	104	0	0	0	0	0	1	0	25.00%	28	0	0	0	0.48	0	0	0
17	Grayson Downing	STOCKTON Flames (CGY)	C/RW	61	1	4	5	-3	4	34	11	35	19	31	2.86%	5	385	6.31	1	1	2	4	117	0	0	0	0	0	0	0	58.62%	29	1	0	0	0.26	0	0	0
18	Jakob Forsbacka Karlsson	STOCKTON Flames (CGY)	C	61	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.01	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0
19	Cooper Marody	STOCKTON Flames (CGY)	C	61	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.01	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				1067	212	375	587	335	414	1077	816	2021	596	1333	10.49%	463	14739	13.81	40	69	109	325	1208	5	8	13	30	1362	29	5	64.17%	3595	2	17	8	0.80	27	23	27

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jon Gillies	STOCKTON Flames (CGY)	61	31	28	2	0.918	2.43	3658	6	7	148	1813	28	2	2	0.000	0	61	0	4	6	1
Stats d'équipe Total ou en Moyenne			61	31	28	2	0.918	2.43	3658	6	7	148	1813	28	2	2	0.000	0	61	0	4	6	1

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	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	Salaire Année 4	Salaire Année 5	Salaire Année 6	Link
Alexander Nylander	STOCKTON Flames (CGY)	LW/RW	22	3/2/1998	No	87 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$				Lien
Carter Camper	STOCKTON Flames (CGY)	C	32	7/6/1988	No	80 Kg	175 CM	No	No	No	3	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$				Lien
Cooper Marody	STOCKTON Flames (CGY)	C	23	12/20/1996	Yes	84 Kg	183 CM	No	No	No	3	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$
Curtis McKenzie	STOCKTON Flames (CGY)	LW	29	2/22/1991	No	93 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$				Lien
Denis Malgin	STOCKTON Flames (CGY)	C	23	1/18/1997	No	80 Kg	175 CM	No	No	No	3	Pro & Farm	1,200,000$	284,746$	1,200,000$	284,746$	0$	0$	No	1,200,000$	1,200,000$				Lien
Filip Chytil	STOCKTON Flames (CGY)	C	20	9/5/1999	No	94 Kg	188 CM	No	No	No	5	Pro & Farm	900,000$	213,559$	900,000$	213,559$	0$	0$	No	900,000$	900,000$	900,000$	900,000$		Lien
Grayson Downing	STOCKTON Flames (CGY)	C/RW	28	4/18/1992	No	89 Kg	183 CM	No	No	No	5	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien
Gustav Forsling	STOCKTON Flames (CGY)	D	24	6/12/1996	No	85 Kg	183 CM	No	No	No	3	Pro & Farm	1,500,000$	355,932$	1,500,000$	355,932$	0$	0$	No	1,500,000$	1,500,000$				Lien
Gustav Lindstrom	STOCKTON Flames (CGY)	D	21	10/20/1998	Yes	86 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$
Jakob Forsbacka Karlsson	STOCKTON Flames (CGY)	C	23	10/31/1996	No	84 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$				Lien
Janne Kuokkanen	STOCKTON Flames (CGY)	C	22	5/25/1998	No	88 Kg	185 CM	No	No	No	5	Pro & Farm	825,000$	195,763$	825,000$	195,763$	0$	0$	No	825,000$	825,000$	825,000$	825,000$		Lien
Jon Gillies	STOCKTON Flames (CGY)	G	26	1/22/1994	No	101 Kg	198 CM	No	No	No	5	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien
Kyle Wood	STOCKTON Flames (CGY)	D	24	5/4/1996	No	107 Kg	201 CM	No	No	No	6	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	Lien
Lias Andersson	STOCKTON Flames (CGY)	C	21	10/13/1998	No	86 Kg	185 CM	No	No	No	3	Pro & Farm	900,000$	213,559$	900,000$	213,559$	0$	0$	No	900,000$	900,000$				Lien
Max Gortz	STOCKTON Flames (CGY)	RW	27	1/28/1993	Yes	95 Kg	188 CM	No	No	No	1	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No
Niklas Hansson	STOCKTON Flames (CGY)	D	25	1/8/1995	Yes	82 Kg	185 CM	No	No	No	2	Pro & Farm	800,000$	189,831$	500,000$	118,644$	0$	0$	No	800,000$
Oliver Kylington	STOCKTON Flames (CGY)	D	23	5/19/1997	No	83 Kg	183 CM	No	No	No	3	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$				Lien
Robert Thomas	STOCKTON Flames (CGY)	C	21	7/2/1999	No	85 Kg	183 CM	No	No	No	4	Pro & Farm	2,000,000$	474,576$	750,000$	177,966$	0$	0$	No	2,000,000$	2,000,000$	2,000,000$			Lien
Spencer Martin	STOCKTON Flames (CGY)	G	25	6/8/1995	No	91 Kg	191 CM	No	No	No	4	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$	750,000$			Lien
Trevor Murphy	STOCKTON Flames (CGY)	D	25	7/17/1995	No	82 Kg	178 CM	No	No	No	3	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$				Lien
Tyler Wotherspoon	STOCKTON Flames (CGY)	D	27	3/12/1993	No	94 Kg	188 CM	No	No	No	4	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$	750,000$			Lien
Victor Ejdsell	STOCKTON Flames (CGY)	C	25	6/6/1995	No	97 Kg	196 CM	No	No	No	5	Pro & Farm	750,000$	177,966$	750,000$	177,966$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	24.36	89 Kg	185 CM	3.59	880,682$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Curtis McKenzie	Robert Thomas		35	1	2	2
2	Alexander Nylander	Filip Chytil	Denis Malgin	27	1	2	2
3	Lias Andersson	Carter Camper	Janne Kuokkanen	23	1	2	2
4	Curtis McKenzie	Denis Malgin	Max Gortz	15	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kyle Wood	Tyler Wotherspoon	31	1	2	2
2	Oliver Kylington	Gustav Forsling	26	1	2	2
3	Gustav Lindstrom	Niklas Hansson	23	1	2	2
4	Trevor Murphy	Kyle Wood	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Curtis McKenzie	Robert Thomas	Max Gortz	55	1	2	2
2	Alexander Nylander	Filip Chytil	Grayson Downing	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kyle Wood	Tyler Wotherspoon	55	1	2	2
2	Oliver Kylington	Gustav Forsling	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Robert Thomas	Curtis McKenzie	55	1	2	2
2	Filip Chytil	Alexander Nylander	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kyle Wood	Tyler Wotherspoon	55	1	2	2
2	Oliver Kylington	Gustav Forsling	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Robert Thomas	55	1	2	2	Kyle Wood	Tyler Wotherspoon	55	1	2	2
2	Filip Chytil	45	1	2	2	Oliver Kylington	Gustav Forsling	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Robert Thomas	Curtis McKenzie	55	1	2	2
2	Filip Chytil	Alexander Nylander	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kyle Wood	Tyler Wotherspoon	55	1	2	2
2	Oliver Kylington	Gustav Forsling	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Curtis McKenzie	Robert Thomas	Max Gortz	Kyle Wood	Tyler Wotherspoon

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Curtis McKenzie	Robert Thomas	Max Gortz	Kyle Wood	Tyler Wotherspoon

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Denis Malgin, , Janne Kuokkanen	Denis Malgin,	Denis Malgin

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Gustav Lindstrom, Niklas Hansson, Trevor Murphy	Gustav Lindstrom	Gustav Lindstrom, Niklas Hansson

Tirs de Pénalité
Robert Thomas, Curtis McKenzie, Filip Chytil, Carter Camper, Denis Malgin

Gardien
#1 : Jon Gillies, #2 : Spencer Martin

Lignes d'Attaque Perso. en Prol.
Robert Thomas, Curtis McKenzie, Filip Chytil, Carter Camper, Denis Malgin, , , Janne Kuokkanen, Lias Andersson, Cooper Marody, Jakob Forsbacka Karlsson

Lignes de Défense Perso. en Prol.
Kyle Wood, Tyler Wotherspoon, Oliver Kylington, Gustav Forsling, Gustav Lindstrom

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	BAKERSFIELD Condors	3	3	0	0	0	0	0	0	20	5	15	1	1	0	0	0	0	0	0	3	2	1	2	2	0	0	0	0	0	0	17	3	14	6	1.000	20	34	54	0	0	91	79	53	1	187	718	729	693	8	46	3	12	87	3	1	33.33%	6	0	100.00%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
2	BINGHAMTON Devils	2	1	1	0	0	0	0	0	6	5	1	2	1	1	0	0	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	2	0.500	6	11	17	0	0	91	79	53	1	53	718	729	693	8	91	14	14	39	4	1	25.00%	7	0	100.00%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
3	BRIDGEPORT Sound Tigers	2	1	1	0	0	0	0	0	5	5	0	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	5	10	15	1	0	91	79	53	1	39	718	729	693	8	60	13	14	48	4	2	50.00%	7	0	100.00%	1	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
4	BROOKLYN Wolfpack	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	6	12	18	0	0	91	79	53	1	77	718	729	693	8	64	14	26	22	3	2	66.67%	13	3	76.92%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
5	CAROLINA Checkers	2	2	0	0	0	0	0	0	24	3	21	2	2	0	0	0	0	0	0	24	3	21	0	0	0	0	0	0	0	0	0	0	0	4	1.000	24	46	70	0	1	91	79	53	1	114	718	729	693	8	23	12	12	37	3	1	33.33%	6	0	100.00%	1	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
6	CHICAGO Wolves	5	1	3	0	1	0	0	0	10	13	-3	2	1	0	0	1	0	0	0	5	2	3	3	0	3	0	0	0	0	0	5	11	-6	4	0.400	10	17	27	0	0	91	79	53	1	103	718	729	693	8	200	50	66	112	21	3	14.29%	32	3	90.63%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
7	COLORADO Eagles	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	0	4	-4	2	0.500	4	7	11	0	0	91	79	53	1	64	718	729	693	8	63	18	22	41	13	2	15.38%	10	1	90.00%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
8	GRAND RAPIDS Griffins	3	1	2	0	0	0	0	0	5	8	-3	2	0	2	0	0	0	0	0	4	8	-4	1	1	0	0	0	0	0	0	1	0	1	2	0.333	5	9	14	1	1	91	79	53	1	65	718	729	693	8	90	29	20	51	8	1	12.50%	10	1	90.00%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
9	HERSEY Bears	2	2	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	2	0	2	4	1.000	6	10	16	0	1	91	79	53	1	70	718	729	693	8	47	15	18	30	0	0	0.00%	7	0	100.00%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
10	IOWA Wild	6	1	4	0	0	1	0	0	11	15	-4	2	0	2	0	0	0	0	0	3	6	-3	4	1	2	0	0	1	0	0	8	9	-1	3	0.250	11	19	30	0	0	91	79	53	1	201	718	729	693	8	161	47	28	107	18	3	16.67%	14	2	85.71%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
11	LAVAL Rocket	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	91	79	53	1	31	718	729	693	8	34	6	8	15	4	2	50.00%	3	1	66.67%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
12	LEHIGH VALLEY Phantoms	4	1	3	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	1	2	-1	3	1	2	0	0	0	0	0	4	7	-3	2	0.250	5	7	12	0	1	91	79	53	1	111	718	729	693	8	122	41	24	76	13	2	15.38%	9	1	88.89%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
13	MANITOBA Moose	2	1	1	0	0	0	0	0	7	7	0	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	7	7	0	2	0.500	7	12	19	0	0	91	79	53	1	87	718	729	693	8	72	14	2	57	3	1	33.33%	1	0	100.00%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
14	MILWAUKEE Admirals	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	0	3	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	91	79	53	1	28	718	729	693	8	31	7	8	15	3	0	0.00%	4	0	100.00%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
15	ONTARIO Reign	3	0	3	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	2	5	-3	2	0	2	0	0	0	0	0	3	5	-2	0	0.000	5	8	13	0	0	91	79	53	1	127	718	729	693	8	96	21	24	54	11	0	0.00%	11	2	81.82%	1	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
16	PROVIDENCE Bruins	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	4	6	0	0	91	79	53	1	22	718	729	693	8	27	8	12	24	4	1	25.00%	6	0	100.00%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
17	ROCKFORD IceHogs	3	3	0	0	0	0	0	0	24	4	20	2	2	0	0	0	0	0	0	14	4	10	1	1	0	0	0	0	0	0	10	0	10	6	1.000	24	42	66	0	1	91	79	53	1	103	718	729	693	8	99	31	18	57	7	4	57.14%	9	0	100.00%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
18	SAN ANTONIO Rampage	4	4	0	0	0	0	0	0	32	10	22	2	2	0	0	0	0	0	0	14	4	10	2	2	0	0	0	0	0	0	18	6	12	8	1.000	32	59	91	0	0	91	79	53	1	137	718	729	693	8	125	40	46	64	5	3	60.00%	20	5	75.00%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
19	SAN DIEGO Gulls	2	2	0	0	0	0	0	0	19	1	18	1	1	0	0	0	0	0	0	11	1	10	1	1	0	0	0	0	0	0	8	0	8	4	1.000	19	36	55	0	1	91	79	53	1	133	718	729	693	8	27	3	16	21	2	2	100.00%	7	0	100.00%	2	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
20	SCRANTON Penguins	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	91	79	53	1	27	718	729	693	8	41	13	6	17	7	0	0.00%	3	2	33.33%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
21	SYRACUSE Crunch	4	1	2	0	0	1	0	0	12	13	-1	3	1	2	0	0	0	0	0	10	10	0	1	0	0	0	0	1	0	0	2	3	-1	3	0.375	12	21	33	0	0	91	79	53	1	142	718	729	693	8	140	48	16	88	18	6	33.33%	8	1	87.50%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
22	TORONTO Marlies	2	1	1	0	0	0	0	0	9	5	4	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	6	0	6	2	0.500	9	16	25	0	1	91	79	53	1	109	718	729	693	8	33	9	10	41	2	1	50.00%	5	1	80.00%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
23	TUSCON Roadrunners	2	1	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	1	4	-3	1	1	0	0	0	0	0	0	3	2	1	2	0.500	4	6	10	0	0	91	79	53	1	58	718	729	693	8	53	6	16	32	10	2	20.00%	8	3	62.50%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
24	UTICA Comets	2	1	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	3	2	1	2	0.500	4	8	12	0	0	91	79	53	1	60	718	729	693	8	70	15	12	27	8	1	12.50%	6	1	83.33%	0	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
	Total	61	30	28	0	1	2	0	0	224	150	74	31	16	14	0	1	0	0	0	120	79	41	30	14	14	0	0	2	0	0	104	71	33	64	0.525	224	402	626	2	7	91	79	53	1	2148	718	729	693	8	1815	477	450	1162	174	41	23.56%	212	27	87.26%	5	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
	_Since Last GM Reset	61	30	28	0	1	2	0	0	224	150	74	31	16	14	0	1	0	0	0	120	79	41	30	14	14	0	0	2	0	0	104	71	33	64	0.525	224	402	626	2	7	91	79	53	1	2148	718	729	693	8	1815	477	450	1162	174	41	23.56%	212	27	87.26%	5	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
	_Vs Conference	35	12	20	0	1	2	0	0	106	92	14	17	6	10	0	1	0	0	0	59	47	12	18	6	10	0	0	2	0	0	47	45	2	28	0.400	106	186	292	1	3	91	79	53	1	1217	718	729	693	8	1082	292	224	725	109	19	17.43%	107	12	88.79%	2	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
	_Vs Division	13	7	15	0	1	2	0	0	55	34	21	9	3	6	0	1	0	0	0	44	28	16	4	4	9	0	0	2	0	0	11	6	5	18	0.692	55	102	157	1	3	91	79	53	1	483	718	729	693	8	347	112	78	256	39	12	30.77%	38	4	89.47%	1	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361

			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
61	64	W1	224	402	626	2148	1815	477	450	1162	2	7

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
61	30	28	1	2	0	0	224	150

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
31	16	14	1	0	0	0	120	79

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	14	14	0	2	0	0	104	71

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	4	0	1	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
174	41	23.56%	212	27	87.26%	5

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
718	729	693	8	91	79	53	1

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
1110	1960	56.63%	964	1883	51.19%	502	936	53.63%

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
1574	1157	1383	396	706	361

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	RI	Lien
1 - 2021-01-17	8	SYRACUSE Crunch	4	STOCKTON Flames	3	L			Sommaire du Match
3 - 2021-01-19	24	STOCKTON Flames	3	IOWA Wild	1	W			Sommaire du Match
4 - 2021-01-20	34	BAKERSFIELD Condors	2	STOCKTON Flames	3	W			Sommaire du Match
7 - 2021-01-23	57	STOCKTON Flames	1	LEHIGH VALLEY Phantoms	5	L			Sommaire du Match
8 - 2021-01-24	69	SCRANTON Penguins	4	STOCKTON Flames	1	L			Sommaire du Match
9 - 2021-01-25	83	GRAND RAPIDS Griffins	4	STOCKTON Flames	2	L			Sommaire du Match
10 - 2021-01-26	91	STOCKTON Flames	2	CHICAGO Wolves	4	L		R3	Sommaire du Match
13 - 2021-01-29	109	SYRACUSE Crunch	4	STOCKTON Flames	1	L			Sommaire du Match
14 - 2021-01-30	123	STOCKTON Flames	2	ONTARIO Reign	3	L			Sommaire du Match
15 - 2021-01-31	131	STOCKTON Flames	6	BAKERSFIELD Condors	2	W			Sommaire du Match
16 - 2021-02-01	137	STOCKTON Flames	1	IOWA Wild	2	L			Sommaire du Match
18 - 2021-02-03	154	BINGHAMTON Devils	4	STOCKTON Flames	2	L			Sommaire du Match
19 - 2021-02-04	169	ROCKFORD IceHogs	1	STOCKTON Flames	6	W			Sommaire du Match
21 - 2021-02-06	186	IOWA Wild	4	STOCKTON Flames	3	L			Sommaire du Match
23 - 2021-02-08	202	STOCKTON Flames	1	CHICAGO Wolves	4	L		R3	Sommaire du Match
24 - 2021-02-09	208	STOCKTON Flames	1	MANITOBA Moose	5	L			Sommaire du Match
25 - 2021-02-10	220	IOWA Wild	2	STOCKTON Flames	0	L			Sommaire du Match
27 - 2021-02-12	239	SAN ANTONIO Rampage	3	STOCKTON Flames	6	W			Sommaire du Match
28 - 2021-02-13	248	STOCKTON Flames	3	TUSCON Roadrunners	2	W			Sommaire du Match
30 - 2021-02-15	259	STOCKTON Flames	3	BROOKLYN Wolfpack	5	L			Sommaire du Match
31 - 2021-02-16	273	CAROLINA Checkers	0	STOCKTON Flames	13	W			Sommaire du Match
32 - 2021-02-17	288	MILWAUKEE Admirals	3	STOCKTON Flames	0	L			Sommaire du Match
34 - 2021-02-19	299	STOCKTON Flames	6	TORONTO Marlies	0	W			Sommaire du Match
35 - 2021-02-20	312	STOCKTON Flames	2	BRIDGEPORT Sound Tigers	4	L			Sommaire du Match
37 - 2021-02-22	325	BROOKLYN Wolfpack	2	STOCKTON Flames	3	W			Sommaire du Match
38 - 2021-02-23	341	GRAND RAPIDS Griffins	4	STOCKTON Flames	2	L			Sommaire du Match
40 - 2021-02-25	352	STOCKTON Flames	2	IOWA Wild	3	L	X		Sommaire du Match
41 - 2021-02-26	369	BINGHAMTON Devils	1	STOCKTON Flames	4	W			Sommaire du Match
42 - 2021-02-27	378	STOCKTON Flames	10	SAN ANTONIO Rampage	3	W			Sommaire du Match
44 - 2021-03-01	393	SYRACUSE Crunch	2	STOCKTON Flames	6	W			Sommaire du Match
45 - 2021-03-02	403	STOCKTON Flames	10	ROCKFORD IceHogs	0	W			Sommaire du Match
47 - 2021-03-04	416	STOCKTON Flames	3	UTICA Comets	2	W			Sommaire du Match
48 - 2021-03-05	428	TUSCON Roadrunners	4	STOCKTON Flames	1	L			Sommaire du Match
50 - 2021-03-07	445	TORONTO Marlies	5	STOCKTON Flames	3	L			Sommaire du Match
52 - 2021-03-09	459	STOCKTON Flames	6	MANITOBA Moose	2	W			Sommaire du Match
53 - 2021-03-10	470	STOCKTON Flames	0	LEHIGH VALLEY Phantoms	2	L			Sommaire du Match
54 - 2021-03-11	479	STOCKTON Flames	0	COLORADO Eagles	4	L			Sommaire du Match
55 - 2021-03-12	491	SAN DIEGO Gulls	1	STOCKTON Flames	11	W			Sommaire du Match
56 - 2021-03-13	505	CAROLINA Checkers	3	STOCKTON Flames	11	W			Sommaire du Match
58 - 2021-03-15	525	SAN ANTONIO Rampage	1	STOCKTON Flames	8	W			Sommaire du Match
59 - 2021-03-16	533	STOCKTON Flames	2	IOWA Wild	3	L			Sommaire du Match
61 - 2021-03-18	550	LAVAL Rocket	2	STOCKTON Flames	3	W			Sommaire du Match
62 - 2021-03-19	561	STOCKTON Flames	8	SAN ANTONIO Rampage	3	W			Sommaire du Match
64 - 2021-03-21	575	UTICA Comets	3	STOCKTON Flames	1	L			Sommaire du Match
65 - 2021-03-22	591	STOCKTON Flames	2	PROVIDENCE Bruins	3	L			Sommaire du Match
66 - 2021-03-23	601	HERSEY Bears	2	STOCKTON Flames	4	W			Sommaire du Match
68 - 2021-03-25	616	STOCKTON Flames	2	HERSEY Bears	0	W			Sommaire du Match
69 - 2021-03-26	626	COLORADO Eagles	1	STOCKTON Flames	4	W			Sommaire du Match
70 - 2021-03-27	632	STOCKTON Flames	11	BAKERSFIELD Condors	1	W			Sommaire du Match
72 - 2021-03-29	651	ROCKFORD IceHogs	3	STOCKTON Flames	8	W			Sommaire du Match
73 - 2021-03-30	664	STOCKTON Flames	1	GRAND RAPIDS Griffins	0	W			Sommaire du Match
75 - 2021-04-01	678	BRIDGEPORT Sound Tigers	1	STOCKTON Flames	3	W			Sommaire du Match
76 - 2021-04-02	685	STOCKTON Flames	8	SAN DIEGO Gulls	0	W			Sommaire du Match
78 - 2021-04-04	706	LEHIGH VALLEY Phantoms	2	STOCKTON Flames	1	L			Sommaire du Match
79 - 2021-04-05	715	STOCKTON Flames	3	LEHIGH VALLEY Phantoms	0	W			Sommaire du Match
81 - 2021-04-07	730	STOCKTON Flames	2	CHICAGO Wolves	3	L		R3	Sommaire du Match
82 - 2021-04-08	741	CHICAGO Wolves	1	STOCKTON Flames	2	W	X		Sommaire du Match
85 - 2021-04-11	759	ONTARIO Reign	5	STOCKTON Flames	2	L			Sommaire du Match
86 - 2021-04-12	771	STOCKTON Flames	2	SYRACUSE Crunch	3	L	X		Sommaire du Match
87 - 2021-04-13	782	STOCKTON Flames	1	ONTARIO Reign	2	L			Sommaire du Match
88 - 2021-04-14	793	CHICAGO Wolves	1	STOCKTON Flames	3	W		R3	Sommaire du Match
91 - 2021-04-17	809	STOCKTON Flames	-	MILWAUKEE Admirals	-
92 - 2021-04-18	819	LEHIGH VALLEY Phantoms	-	STOCKTON Flames	-			R3
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19	832	STOCKTON Flames	-	BINGHAMTON Devils	-
94 - 2021-04-20	842	STOCKTON Flames	-	SCRANTON Penguins	-			R3
95 - 2021-04-21	853	MANITOBA Moose	-	STOCKTON Flames	-
97 - 2021-04-23	871	SCRANTON Penguins	-	STOCKTON Flames	-			R3
99 - 2021-04-25	888	STOCKTON Flames	-	SYRACUSE Crunch	-
100 - 2021-04-26	894	STOCKTON Flames	-	BELLEVILLE Senators	-			R3
101 - 2021-04-27	906	SCRANTON Penguins	-	STOCKTON Flames	-
103 - 2021-04-29	922	ONTARIO Reign	-	STOCKTON Flames	-			R3
105 - 2021-05-01	938	PROVIDENCE Bruins	-	STOCKTON Flames	-
106 - 2021-05-02	949	STOCKTON Flames	-	BELLEVILLE Senators	-			R3
107 - 2021-05-03	961	STOCKTON Flames	-	ONTARIO Reign	-
109 - 2021-05-05	973	BAKERSFIELD Condors	-	STOCKTON Flames	-			R3
111 - 2021-05-07	994	BELLEVILLE Senators	-	STOCKTON Flames	-
112 - 2021-05-08	1001	STOCKTON Flames	-	SCRANTON Penguins	-			R3
114 - 2021-05-10	1018	BAKERSFIELD Condors	-	STOCKTON Flames	-
115 - 2021-05-11	1024	STOCKTON Flames	-	LAVAL Rocket	-			R3
116 - 2021-05-12	1030	STOCKTON Flames	-	CAROLINA Checkers	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	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	Popularité de l'Équipe
9	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
1,539,907$	1,937,500$	1,782,500$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	1,539,907$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	28	16,419$	459,732$

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Saison Régulière
34	80	40	24	0	2	3	6	5	251	195	56	40	20	13	0	0	1	3	3	129	102	27	40	20	11	0	2	2	3	2	122	93	29	104	251	446	697	0	8	96	81	66	15	2671	852	863	913	90	2207	631	704	1548	278	55	19.78%	320	51	84.06%	5	1601	2759	58.03%	1350	2543	53.09%	705	1193	59.09%	2075	1488	1803	548	982	502
34	80	40	24	0	2	3	6	5	251	195	56	40	20	13	0	0	1	3	3	129	102	27	40	20	11	0	2	2	3	2	122	93	29	104	251	446	697	0	8	96	81	66	15	2671	852	863	913	90	2207	631	704	1548	278	55	19.78%	320	51	84.06%	5	1601	2759	58.03%	1350	2543	53.09%	705	1193	59.09%	2075	1488	1803	548	982	502
36	61	30	28	0	1	2	0	0	224	150	74	31	16	14	0	1	0	0	0	120	79	41	30	14	14	0	0	2	0	0	104	71	33	64	224	402	626	2	7	91	79	53	1	2148	718	729	693	8	1815	477	450	1162	174	41	23.56%	212	27	87.26%	5	1110	1960	56.63%	964	1883	51.19%	502	936	53.63%	1574	1157	1383	396	706	361
Total Saison Régulière	221	110	76	0	5	8	12	10	726	540	186	111	56	40	0	1	2	6	6	378	283	95	110	54	36	0	4	6	6	4	348	257	91	272	726	1294	2020	2	23	283	241	185	31	7490	2422	2455	2519	188	6229	1739	1858	4258	730	151	20.68%	852	129	84.86%	15	4312	7478	57.66%	3664	6969	52.58%	1912	3322	57.56%	5725	4133	4990	1493	2670	1365
Séries
34	5	1	4	0	0	0	0	0	9	18	-9	3	0	3	0	0	0	0	0	4	12	-8	2	1	1	0	0	0	0	0	5	6	-1	2	9	16	25	0	0	7	2	0	0	137	53	37	35	12	187	69	46	118	14	2	14.29%	22	4	81.82%	0	45	157	28.66%	65	205	31.71%	21	81	25.93%	124	87	140	40	68	34
Total Séries	5	1	4	0	0	0	0	0	9	18	-9	3	0	3	0	0	0	0	0	4	12	-8	2	1	1	0	0	0	0	0	5	6	-1	2	9	16	25	0	0	7	2	0	0	137	53	37	35	12	187	69	46	118	14	2	14.29%	22	4	81.82%	0	45	157	28.66%	65	205	31.71%	21	81	25.93%	124	87	140	40	68	34

	STOCKTON Flames
	GP: 61 \| W: 31 \| L: 28 \| OTL: 2 \| P: 64 GF: 224 \| GA: 150 \| PP%: 23.56% \| PK%: 87.26% DG: Francis Pilote \| Morale : 99 \| Moyenne d'Équipe : 64 Prochain matchs #809 vs MILWAUKEE Admirals