Stanley Cup Winners Hockey League

CALGARY Flames
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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	Tobias Rieder	0		X	X		100.00	67	39	83	66	70	73	82	65	68	63	61	76	66	73	67	51	99	69	0	27	1	900,000$
4	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$
5	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$
6	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$
7	Nathan Bastian (R)	0	X				100.00	72	53	85	61	87	81	74	59	54	58	60	62	59	65	63	74	99	67	0	22	3	750,000$
8	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$
9	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$
10	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$
11	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$
12	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$
13	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$
14	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$
15	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$
16	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$
17	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$
18	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$
19	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$
20	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$
21	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$
22	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	51	80	64	76	71	71	63	53	60	58	59	59	62	60	63	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	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	S1	S2	S3
1	Tyler Wotherspoon	STOCKTON Flames (CGY)	D	3	2	3	5	2	0	13	7	15	2	5	13.33%	5	64	21.35	2	1	3	11	9	0	5	0	0	0.00%	0	0	8	1.56	1	1	0
2	Alexander Nylander	STOCKTON Flames (CGY)	LW/RW	3	2	1	3	-1	0	10	4	13	9	19	15.38%	0	53	17.68	0	0	0	0	2	0	1	0	0	60.00%	5	0	1	1.13	0	0	1
3	Curtis McKenzie	STOCKTON Flames (CGY)	LW	2	1	2	3	1	0	21	5	27	3	24	3.70%	1	58	29.01	0	1	1	5	7	0	2	0	0	75.00%	4	0	0	1.03	2	0	0
4	Grayson Downing	STOCKTON Flames (CGY)	C/RW	3	0	2	2	-1	2	8	1	9	6	5	0.00%	1	50	16.78	0	0	0	0	2	0	0	0	0	50.00%	6	1	0	0.79	0	0	0
5	Denis Malgin	STOCKTON Flames (CGY)	C	3	1	1	2	2	0	5	5	14	3	9	7.14%	0	30	10.23	0	0	0	0	0	0	1	0	1	90.48%	21	0	0	1.30	0	0	1
6	Oliver Kylington	STOCKTON Flames (CGY)	D	3	0	1	1	0	2	2	2	7	4	6	0.00%	2	46	15.65	0	0	0	2	4	1	3	0	0	0.00%	0	0	2	0.43	0	0	0
7	Trevor Murphy	STOCKTON Flames (CGY)	D	3	0	1	1	-1	0	1	1	1	3	5	0.00%	0	29	9.88	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0.67	0	0	0
8	Gustav Forsling	STOCKTON Flames (CGY)	D	3	1	0	1	0	0	3	2	9	2	1	11.11%	3	48	16.02	0	0	0	3	4	1	4	1	0	0.00%	0	0	2	0.42	0	0	0
9	Gustav Lindstrom	STOCKTON Flames (CGY)	D	3	1	0	1	-1	0	1	0	7	3	5	14.29%	1	38	12.99	0	0	0	0	0	0	0	1	0	0.00%	0	1	1	0.51	0	0	0
10	Janne Kuokkanen	STOCKTON Flames (CGY)	C	3	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0.12	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0
11	Nathan Bastian	STOCKTON Flames (CGY)	C	3	0	0	0	0	0	1	0	2	1	2	0.00%	0	7	2.62	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0
12	Niklas Hansson	STOCKTON Flames (CGY)	D	3	0	0	0	-1	4	1	0	2	1	0	0.00%	0	36	12.06	0	0	0	0	0	0	0	0	0	0.00%	0	0	2	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				35	8	11	19	0	8	66	27	107	37	81	7.48%	13	464	13.26	2	2	4	21	32	2	20	2	1	77.78%	36	2	17	0.82	3	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 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)	3	2	1	0	0.925	2.35	179	0	0	7	93	28	0	0	0.000	0	3	0	0	0	0
Stats d'équipe Total ou en Moyenne			3	2	1	0	0.925	2.35	179	0	0	7	93	28	0	0	0.000	0	3	0	0	0	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 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$	724,576$	750,000$	724,576$	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$	724,576$	750,000$	724,576$	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$	724,576$	750,000$	724,576$	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$	724,576$	750,000$	724,576$	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$	1,159,322$	1,200,000$	1,159,322$	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$	869,492$	900,000$	869,492$	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$	724,576$	750,000$	724,576$	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$	1,449,153$	1,500,000$	1,449,153$	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$	724,576$	750,000$	724,576$	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$	724,576$	750,000$	724,576$	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$	797,034$	825,000$	797,034$	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$	724,576$	750,000$	724,576$	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$	724,576$	750,000$	724,576$	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$	869,492$	900,000$	869,492$	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$	724,576$	750,000$	724,576$	0$	0$	No
Nathan Bastian	STOCKTON Flames (CGY)	C	22	12/6/1997	Yes	93 Kg	193 CM	No	No	No	3	Pro & Farm	750,000$	724,576$	750,000$	724,576$	0$	0$	No	750,000$	750,000$
Niklas Hansson	STOCKTON Flames (CGY)	D	25	1/8/1995	Yes	82 Kg	185 CM	No	No	No	2	Pro & Farm	800,000$	772,881$	500,000$	483,051$	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$	724,576$	750,000$	724,576$	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$	1,932,203$	750,000$	724,576$	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$	724,576$	750,000$	724,576$	0$	0$	No	750,000$	750,000$	750,000$			Lien
Tobias Rieder	STOCKTON Flames (CGY)	LW/RW	27	1/10/1993	No	85 Kg	180 CM	No	No	No	1	Pro & Farm	900,000$	869,492$	900,000$	869,492$	0$	0$	No						Lien
Trevor Murphy	STOCKTON Flames (CGY)	D	25	7/17/1995	No	82 Kg	178 CM	No	No	No	3	Pro & Farm	750,000$	724,576$	750,000$	724,576$	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$	724,576$	750,000$	724,576$	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$	724,576$	750,000$	724,576$	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
24	24.38	89 Kg	185 CM	3.46	876,042$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Curtis McKenzie			35	1	2	2
2	Alexander Nylander		Grayson Downing	27	1	2	2
3	Curtis McKenzie			23	1	2	2
4	Curtis McKenzie	Denis Malgin		15	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		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		20	1	2	2

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

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		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		Curtis McKenzie	55	1	2	2
2		Alexander Nylander	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		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		55	1	2	2		Tyler Wotherspoon	55	1	2	2
2		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		Curtis McKenzie	55	1	2	2
2		Alexander Nylander	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		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				Tyler Wotherspoon

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Curtis McKenzie				Tyler Wotherspoon

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

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

Tirs de Pénalité
, Curtis McKenzie, , , Denis Malgin

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

Lignes d'Attaque Perso. en Prol.
, Curtis McKenzie, , , Denis Malgin, Nathan Bastian, Nathan Bastian, Janne Kuokkanen, Lias Andersson, Cooper Marody, Jakob Forsbacka Karlsson

Lignes de Défense Perso. en Prol.
, 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	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	5	8	0	0	1	3	5	0	52	44	41	39	0	19	0	2	27	1	0	0.00%	1	0	100.00%	0	50	108	46.30%	42	69	60.87%	12	46	26.09%	82	61	59	20	38	19
2	IOWA Wild	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	1	3	5	0	32	44	41	39	0	25	4	4	31	5	1	20.00%	2	0	100.00%	0	50	108	46.30%	42	69	60.87%	12	46	26.09%	82	61	59	20	38	19
3	SYRACUSE Crunch	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	1	3	5	0	40	44	41	39	0	49	18	6	19	3	2	66.67%	3	1	66.67%	0	50	108	46.30%	42	69	60.87%	12	46	26.09%	82	61	59	20	38	19
	Total	3	2	1	0	0	0	0	0	9	7	2	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	3	1	2	4	0.667	9	16	25	0	0	1	3	5	0	124	44	41	39	0	93	22	12	77	9	3	33.33%	6	1	83.33%	0	50	108	46.30%	42	69	60.87%	12	46	26.09%	82	61	59	20	38	19
	_Since Last GM Reset	3	2	1	0	0	0	0	0	9	7	2	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	3	1	2	4	0.667	9	16	25	0	0	1	3	5	0	124	44	41	39	0	93	22	12	77	9	3	33.33%	6	1	83.33%	0	50	108	46.30%	42	69	60.87%	12	46	26.09%	82	61	59	20	38	19
	_Vs Conference	3	2	1	0	0	0	0	0	9	7	2	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	3	1	2	4	0.667	9	16	25	0	0	1	3	5	0	124	44	41	39	0	93	22	12	77	9	3	33.33%	6	1	83.33%	0	50	108	46.30%	42	69	60.87%	12	46	26.09%	82	61	59	20	38	19
	_Vs Division	1	2	1	0	0	0	0	0	3	4	-1	1	1	1	0	0	0	0	0	3	4	-1	0	1	0	0	0	0	0	0	0	0	0	4	2.000	3	6	9	0	0	1	3	5	0	40	44	41	39	0	49	18	6	19	3	2	66.67%	3	1	66.67%	0	50	108	46.30%	42	69	60.87%	12	46	26.09%	82	61	59	20	38	19

			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
3	4	W2	9	16	25	124	93	22	12	77	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	9	7

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	6	6

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	1	0	0	0	0	0	3	1

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	1	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
9	3	33.33%	6	1	83.33%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
44	41	39	0	1	3	5	0

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
50	108	46.30%	42	69	60.87%	12	46	26.09%

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
82	61	59	20	38	19

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

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
38	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
71,272$	2,102,500$	1,947,500$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	71,272$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	114	17,818$	2,031,252$

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	3	2	1	0	0	0	0	0	9	7	2	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	3	1	2	4	9	16	25	0	0	1	3	5	0	124	44	41	39	0	93	22	12	77	9	3	33.33%	6	1	83.33%	0	50	108	46.30%	42	69	60.87%	12	46	26.09%	82	61	59	20	38	19
Total Saison Régulière	163	82	49	0	4	6	12	10	511	397	114	82	41	27	0	0	2	6	6	264	210	54	81	41	22	0	4	4	6	4	247	187	60	212	511	908	1419	0	16	193	165	137	30	5466	1748	1767	1865	180	4507	1284	1420	3173	565	113	20.00%	646	103	84.06%	10	3252	5626	57.80%	2742	5155	53.19%	1422	2432	58.47%	4233	3037	3667	1117	2002	1024
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