Stanley Cup Winners Hockey League

TAMPA BAY Lightning
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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Sean Kuraly	0	X				100.00	77	44	69	67	83	82	84	66	79	68	65	69	66	56	52	55	93	70	0
2	Rocco Grimaldi	0	X		X		100.00	60	35	75	67	62	71	76	66	70	66	64	60	65	54	51	73	93	64	0
3	Ryan Poehling (R)	0	X				100.00	62	35	77	62	77	78	50	62	70	60	61	66	62	50	55	83	96	63	0
4	Marko Dano	0	X	X			100.00	56	68	59	69	75	52	54	69	68	60	60	51	61	56	52	77	95	60	0
5	Mark McNeill	0	X		X		100.00	58	89	65	67	83	50	50	67	70	56	56	50	56	50	50	79	95	58	0
6	Jiri Sekac	0		X			100.00	59	38	80	69	70	46	47	58	31	55	50	59	53	60	49	71	95	57	0
7	Scott Kosmachuk	0			X		100.00	50	89	63	67	69	50	50	67	50	59	59	50	59	50	50	64	95	57	0
8	Lucas Lessio	0		X			100.00	57	37	74	67	75	45	45	57	31	51	54	61	59	58	47	79	95	56	0
9	Louis-Marc Aubry	0	X				100.00	54	41	66	64	84	50	45	54	43	50	51	51	52	64	61	55	95	56	0
10	Sebastian Collberg (R)	0			X		100.00	46	35	80	70	67	45	40	52	30	49	46	50	51	56	51	87	95	53	0
11	Brandon Manning	0				X	100.00	70	56	75	60	78	70	69	60	30	55	57	73	64	60	53	36	96	64	0
12	Gustav Olofsson	0				X	100.00	62	41	81	62	76	73	58	72	30	55	47	66	62	52	51	71	95	62	0
13	Justin Falk	0				X	100.00	74	62	71	59	94	53	55	59	30	49	46	57	56	61	53	47	95	59	0
14	Zach Trotman	0				X	100.00	64	35	70	59	87	59	56	59	30	50	46	58	56	53	51	40	95	58	0
15	Cody Goloubef	0				X	100.00	56	35	58	67	77	52	52	67	30	51	46	56	57	55	52	61	96	57	0
16	Jan Kostalek	0				X	100.00	56	41	75	50	72	52	54	53	30	39	39	60	56	50	50	44	96	52	0
Rayé
1	Andy Andreoff	0	X	X			100.00	76	44	67	69	74	74	62	64	40	65	63	60	66	56	55	55	93	65	0
2	Cal O'Reilly	0	X				100.00	50	89	70	70	72	50	50	70	70	60	60	50	60	56	52	29	93	59	0
3	Liam O'Brien	0		X			100.00	57	89	46	65	80	50	50	65	50	58	58	50	58	51	50	42	93	58	0

	MOYENNE D'ÉQUIPE					100.00	60	53	70	65	77	58	55	62	46	56	54	58	59	55	52	60	95	59

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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	Chad Johnson	100.00	71	71	70	83	70	70	71	70	70	70	66	64	68	35	90	64	0
2	Jonas Gustavsson	100.00	65	57	66	81	69	68	66	67	66	74	62	78	72	5	95	63	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	68	64	68	82	70	69	69	69	68	72	64	71	70	20	93	64

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dale Hunter	65	65	65	65	76	76	54	CAN	60	2	82,000$

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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	HT	P/20	PSS	S1	S2	S3
1	Sean Kuraly	Syracruse Crunch (TBL)	C	4	6	2	8	5	2	13	16	28	4	22	21.43%	1	99	24.84	1	0	1	2	10	1	4	0	0	67.77%	121	1	1.61	1	1	0	0
2	Mark McNeill	Syracruse Crunch (TBL)	C/RW	6	3	4	7	2	2	10	3	21	4	13	14.29%	0	96	16.08	0	0	0	3	10	0	0	0	0	33.33%	3	0	1.45	0	1	1	1
3	Jiri Sekac	Syracruse Crunch (TBL)	LW	6	2	5	7	5	0	5	6	22	6	9	9.09%	2	90	15.14	0	0	0	1	9	0	0	0	0	60.00%	5	0	1.54	0	0	1	0
4	Rocco Grimaldi	Syracruse Crunch (TBL)	C/RW	4	3	3	6	6	0	1	3	21	4	13	14.29%	1	97	24.28	0	0	0	0	9	0	4	1	0	80.00%	5	0	1.24	1	0	1	0
5	Louis-Marc Aubry	Syracruse Crunch (TBL)	C	6	4	1	5	4	4	10	9	10	2	8	40.00%	1	84	14.02	0	0	0	0	0	0	1	0	0	57.78%	90	0	1.19	0	1	0	0
6	Scott Kosmachuk	Syracruse Crunch (TBL)	RW	6	2	3	5	1	4	4	7	16	8	12	12.50%	3	88	14.78	0	1	1	0	1	0	0	0	0	50.00%	2	0	1.13	0	0	0	0
7	Ryan Poehling	Syracruse Crunch (TBL)	C	4	3	2	5	3	0	7	5	27	7	21	11.11%	0	78	19.50	0	0	0	4	9	0	4	1	0	54.65%	86	0	1.28	1	1	0	0
8	Gustav Olofsson	Syracruse Crunch (TBL)	D	6	1	3	4	2	2	12	7	7	2	6	14.29%	11	141	23.66	1	0	1	3	17	0	9	0	1	0.00%	0	0	0.56	0	0	0	1
9	Marko Dano	Syracruse Crunch (TBL)	C/LW	6	1	3	4	5	2	4	4	18	5	18	5.56%	2	90	15.02	0	0	0	3	9	1	3	1	0	25.00%	4	0	0.89	0	0	0	0
10	Cody Goloubef	Syracruse Crunch (TBL)	D	4	0	4	4	3	2	16	2	5	0	3	0.00%	1	68	17.10	0	1	1	0	1	0	0	0	0	0.00%	0	0	1.17	0	0	0	1
11	Justin Falk	Syracruse Crunch (TBL)	D	6	0	4	4	3	12	17	2	7	4	5	0.00%	4	110	18.47	0	0	0	1	8	0	8	0	0	0.00%	0	0	0.72	0	0	0	0
12	Brandon Manning	Syracruse Crunch (TBL)	D	4	0	3	3	3	2	7	4	6	4	6	0.00%	3	94	23.74	0	0	0	4	10	0	4	0	0	0.00%	0	0	0.63	0	0	0	0
13	Sebastian Collberg	Syracruse Crunch (TBL)	RW	6	0	3	3	4	0	2	3	4	2	5	0.00%	0	51	8.54	0	0	0	0	0	0	0	0	0	66.67%	3	0	1.17	0	0	0	0
14	Zach Trotman	Syracruse Crunch (TBL)	D	6	1	2	3	3	0	5	6	7	3	3	14.29%	10	109	18.19	0	0	0	0	8	0	12	0	0	0.00%	0	0	0.55	0	0	0	0
15	Lucas Lessio	Syracruse Crunch (TBL)	LW	6	0	2	2	1	0	3	5	7	4	10	0.00%	0	66	11.14	0	0	0	0	1	0	0	0	0	0.00%	1	0	0.60	0	0	0	0
16	Jan Kostalek	Syracruse Crunch (TBL)	D	4	0	1	1	3	0	4	1	2	1	1	0.00%	4	68	17.14	0	0	0	0	0	0	2	0	0	0.00%	0	0	0.29	0	0	0	0
Stats d'équipe Total ou en Moyenne				84	26	45	71	53	32	120	83	208	60	155	12.50%	43	1436	17.10	2	2	4	21	109	2	55	3	1	60.31%	320	1	0.99	3	4	3	3

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	PS %	PSA	ST	BG	S2
1	Chad Johnson	Syracruse Crunch (TBL)	6	3	2	1	0.914	2.49	338	1	14	163	0.667	3	6	0	1
2	Jonas Gustavsson	Syracruse Crunch (TBL)	1	0	0	0	0.857	4.62	26	0	2	14	0.000	0	0	6	0
Stats d'équipe Total ou en Moyenne			7	3	2	1	0.910	2.63	365	1	16	177	0.667	3	6	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
Andy Andreoff	Syracruse Crunch (TBL)	C/LW	28	1991-05-17	No	92 Kg	185 CM	No	No	No	6	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	Lien
Brandon Manning	Syracruse Crunch (TBL)	D	29	1990-06-04	No	93 Kg	185 CM	No	No	No	3	Pro & Farm	2,250,000$	2,087,837$	2,250,000$	2,087,837$	0$	0$	No	2,250,000$	2,250,000$				Lien
Cal O'Reilly	Syracruse Crunch (TBL)	C	32	1986-09-30	No	85 Kg	183 CM	No	No	No	3	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No	750,000$	750,000$				Lien
Chad Johnson	Syracruse Crunch (TBL)	G	33	1986-06-10	No	90 Kg	191 CM	No	No	No	3	Pro & Farm	1,500,000$	1,391,891$	1,500,000$	1,391,891$	0$	0$	No	1,500,000$	1,500,000$				Lien
Cody Goloubef	Syracruse Crunch (TBL)	D	29	1989-11-30	No	91 Kg	185 CM	No	No	No	6	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	Lien
Gustav Olofsson	Syracruse Crunch (TBL)	D	24	1994-12-01	No	89 Kg	191 CM	No	No	No	5	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien
Jan Kostalek	Syracruse Crunch (TBL)	D	24	1995-02-17	No	89 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No	750,000$	750,000$				Lien
Jiri Sekac	Syracruse Crunch (TBL)	LW	27	1992-06-10	No	84 Kg	185 CM	No	No	No	1	Pro & Farm	1,000,000$	927,927$	1,000,000$	927,927$	0$	0$	No
Jonas Gustavsson	Syracruse Crunch (TBL)	G	34	1984-10-24	No	91 Kg	193 CM	No	No	No	4	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No	750,000$	750,000$	750,000$
Justin Falk	Syracruse Crunch (TBL)	D	30	1988-10-11	No	101 Kg	196 CM	No	No	No	2	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No	750,000$					Lien
Liam O'Brien	Syracruse Crunch (TBL)	LW	25	1994-07-29	No	98 Kg	185 CM	No	No	No	0	Pro & Farm					0$	0$	No						Lien
Louis-Marc Aubry	Syracruse Crunch (TBL)	C	27	1991-11-11	No	99 Kg	193 CM	No	No	No	3	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No	750,000$	750,000$
Lucas Lessio	Syracruse Crunch (TBL)	LW	26	1993-01-23	No	96 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No	750,000$	750,000$
Mark McNeill	Syracruse Crunch (TBL)	C/RW	26	1993-02-22	No	97 Kg	188 CM	No	No	No	4	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No	750,000$	750,000$	750,000$			Lien
Marko Dano	Syracruse Crunch (TBL)	C/LW	24	1994-11-30	No	96 Kg	180 CM	No	No	No	3	Pro & Farm	950,000$	881,531$	950,000$	881,531$	0$	0$	No	950,000$	950,000$				Lien
Rocco Grimaldi	Syracruse Crunch (TBL)	C/RW	26	1993-02-08	No	82 Kg	168 CM	No	No	No	1	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No						Lien
Ryan Poehling	Syracruse Crunch (TBL)	C	20	1999-01-03	Yes	83 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No	750,000$	750,000$				Lien
Scott Kosmachuk	Syracruse Crunch (TBL)	RW	25	1994-01-24	No	84 Kg	180 CM	No	No	No	3	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No	750,000$	750,000$				Lien
Sean Kuraly	Syracruse Crunch (TBL)	C	26	1993-01-20	No	97 Kg	188 CM	No	No	No	3	Pro & Farm	1,275,000$	1,183,108$	1,275,000$	1,183,108$	0$	0$	No	1,275,000$	1,275,000$				Lien
Sebastian Collberg	Syracruse Crunch (TBL)	RW	25	1994-02-23	Yes	89 Kg	180 CM	No	No	No	5	Pro & Farm	925,000$	858,333$	925,000$	858,333$	0$	0$	No	925,000$	925,000$	925,000$	925,000$
Zach Trotman	Syracruse Crunch (TBL)	D	29	1990-08-26	No	99 Kg	191 CM	No	No	No	3	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No	750,000$	750,000$				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	27.10	92 Kg	185 CM	3.19	876,190$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Marko Dano	Sean Kuraly	Rocco Grimaldi	31	1	2	2
2	Jiri Sekac	Ryan Poehling	Mark McNeill	26	1	2	2
3	Lucas Lessio	Louis-Marc Aubry	Scott Kosmachuk	23	1	2	2
4	Rocco Grimaldi	Sean Kuraly	Sebastian Collberg	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brandon Manning	Gustav Olofsson	31	1	2	2
2	Justin Falk	Zach Trotman	26	1	2	2
3	Cody Goloubef	Jan Kostalek	23	1	2	2
4	Brandon Manning	Gustav Olofsson	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Marko Dano	Sean Kuraly	Rocco Grimaldi	55	1	2	2
2	Jiri Sekac	Ryan Poehling	Mark McNeill	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brandon Manning	Gustav Olofsson	55	1	2	2
2	Justin Falk	Zach Trotman	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sean Kuraly	Rocco Grimaldi	55	1	2	2
2	Ryan Poehling	Marko Dano	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brandon Manning	Gustav Olofsson	55	1	2	2
2	Justin Falk	Zach Trotman	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Sean Kuraly	55	1	2	2	Brandon Manning	Gustav Olofsson	55	1	2	2
2	Rocco Grimaldi	45	1	2	2	Justin Falk	Zach Trotman	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sean Kuraly	Rocco Grimaldi	55	1	2	2
2	Ryan Poehling	Marko Dano	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brandon Manning	Gustav Olofsson	55	1	2	2
2	Justin Falk	Zach Trotman	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Marko Dano	Sean Kuraly	Rocco Grimaldi	Brandon Manning	Gustav Olofsson

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Marko Dano	Sean Kuraly	Rocco Grimaldi	Brandon Manning	Gustav Olofsson

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Scott Kosmachuk, Lucas Lessio, Louis-Marc Aubry	Scott Kosmachuk, Lucas Lessio	Louis-Marc Aubry

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Cody Goloubef, Jan Kostalek, Justin Falk	Cody Goloubef	Jan Kostalek, Justin Falk

Tirs de Pénalité
Sean Kuraly, Rocco Grimaldi, Ryan Poehling, Marko Dano, Mark McNeill

Gardien
#1 : Chad Johnson, #2 : Jonas Gustavsson

Lignes d'Attaque Perso. en Prol.
Sean Kuraly, Rocco Grimaldi, Ryan Poehling, Marko Dano, Mark McNeill, Scott Kosmachuk, Scott Kosmachuk, Jiri Sekac, Lucas Lessio, Louis-Marc Aubry, Sebastian Collberg

Lignes de Défense Perso. en Prol.
Brandon Manning, Gustav Olofsson, Justin Falk, Zach Trotman, Cody Goloubef

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	Binghampton Devils	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	2	3	2	1.000	5	10	15	0	0	11	8	7	0	41	73	73	67	3	35	9	10	26	1	0	0.00%	5	0	100.00%	0	88	168	52.38%	65	171	38.01%	56	94	59.57%	166	128	135	33	62	34
2	HOLLYWOOD Oscar	1	1	0	0	0	0	0	0	12	0	12	1	1	0	0	0	0	0	0	12	0	12	0	0	0	0	0	0	0	0	0	0	0	2	1.000	12	23	35	0	1	11	8	7	0	80	73	73	67	3	2	1	0	24	0	0	0.00%	0	0	0.00%	0	88	168	52.38%	65	171	38.01%	56	94	59.57%	166	128	135	33	62	34
3	PV Sharapovas	1	0	1	0	0	0	0	0	2	7	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	7	-5	0	0.000	2	4	6	0	0	11	8	7	0	26	73	73	67	3	34	6	4	22	7	1	14.29%	1	0	100.00%	0	88	168	52.38%	65	171	38.01%	56	94	59.57%	166	128	135	33	62	34
4	STOCKTON Flames	1	0	0	0	0	0	0	1	1	2	-1	1	0	0	0	0	0	0	1	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	1	2	3	0	0	11	8	7	0	26	73	73	67	3	13	7	0	12	3	0	0.00%	0	0	0.00%	0	88	168	52.38%	65	171	38.01%	56	94	59.57%	166	128	135	33	62	34
	Total	6	3	2	0	0	0	0	1	26	17	9	3	2	0	0	0	0	0	1	17	5	12	3	1	2	0	0	0	0	0	9	12	-3	7	0.583	26	47	73	0	1	11	8	7	0	213	73	73	67	3	177	56	36	127	15	2	13.33%	15	3	80.00%	0	88	168	52.38%	65	171	38.01%	56	94	59.57%	166	128	135	33	62	34
6	VICTORIAVILLE Tigres	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	6	8	14	0	0	11	8	7	0	40	73	73	67	3	93	33	22	43	4	1	25.00%	9	3	66.67%	0	88	168	52.38%	65	171	38.01%	56	94	59.57%	166	128	135	33	62	34
	_Since Last GM Reset	6	3	2	0	0	0	0	1	26	17	9	3	2	0	0	0	0	0	1	17	5	12	3	1	2	0	0	0	0	0	9	12	-3	7	0.583	26	47	73	0	1	11	8	7	0	213	73	73	67	3	177	56	36	127	15	2	13.33%	15	3	80.00%	0	88	168	52.38%	65	171	38.01%	56	94	59.57%	166	128	135	33	62	34
	_Vs Conference	6	3	2	0	0	0	0	1	26	17	9	3	2	0	0	0	0	0	1	17	5	12	3	1	2	0	0	0	0	0	9	12	-3	7	0.583	26	47	73	0	1	11	8	7	0	213	73	73	67	3	177	56	36	127	15	2	13.33%	15	3	80.00%	0	88	168	52.38%	65	171	38.01%	56	94	59.57%	166	128	135	33	62	34
	_Vs Division	1	2	1	0	0	0	0	1	2	7	-5	0	2	0	0	0	0	0	1	0	0	0	1	0	1	0	0	0	0	0	2	7	-5	5	2.500	2	4	6	0	0	11	8	7	0	26	73	73	67	3	34	6	4	22	7	1	14.29%	1	0	100.00%	0	88	168	52.38%	65	171	38.01%	56	94	59.57%	166	128	135	33	62	34

			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
6	7	SOL1	26	47	73	213	177	56	36	127	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	3	2	0	0	0	1	26	17

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	0	0	0	0	1	17	5

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	9	12

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	2	0	0	0	1

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
15	2	13.33%	15	3	80.00%	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
73	73	67	3	11	8	7	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
88	168	52.38%	65	171	38.01%	56	94	59.57%

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
166	128	135	33	62	34

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	RI	Lien
1 - 2020-01-15	2	VICTORIAVILLE Tigres	3	Syracruse Crunch	4	W			R3	Sommaire du Match
2 - 2020-01-16	15	Syracruse Crunch	2	VICTORIAVILLE Tigres	3	L				Sommaire du Match
3 - 2020-01-17	38	Syracruse Crunch	5	Binghampton Devils	2	W				Sommaire du Match
4 - 2020-01-18	46	Syracruse Crunch	2	PV Sharapovas	7	L				Sommaire du Match
5 - 2020-01-19	53	HOLLYWOOD Oscar	0	Syracruse Crunch	12	W				Sommaire du Match
7 - 2020-01-21	69	STOCKTON Flames	2	Syracruse Crunch	1	L	X	X		Sommaire du Match
9 - 2020-01-23	82	MONT-LAURIER Sommet	-	Syracruse Crunch	-
11 - 2020-01-25	102	Syracruse Crunch	-	CORNWALL Aces	-
13 - 2020-01-27	110	Syracruse Crunch	-	WILKIES-BARRIE Penguins	-
15 - 2020-01-29	122	Syracruse Crunch	-	IOWA Wild	-
17 - 2020-01-31	132	BRIDGEPORT Sound Tigers	-	Syracruse Crunch	-
19 - 2020-02-02	148	BELLEVILLE Senators	-	Syracruse Crunch	-
21 - 2020-02-04	165	Syracruse Crunch	-	MONT-LAURIER Sommet	-
22 - 2020-02-05	171	Binghampton Devils	-	Syracruse Crunch	-
23 - 2020-02-06	188	PV Sharapovas	-	Syracruse Crunch	-
24 - 2020-02-07	197	Syracruse Crunch	-	Binghampton Devils	-
26 - 2020-02-09	215	MILWAUKEE Admirals	-	Syracruse Crunch	-
27 - 2020-02-10	224	Syracruse Crunch	-	TUSCON Roadrunners	-
28 - 2020-02-11	238	Syracruse Crunch	-	MONT-LAURIER Sommet	-
29 - 2020-02-12	251	VICTORIAVILLE Tigres	-	Syracruse Crunch	-
31 - 2020-02-14	267	Syracruse Crunch	-	STOCKTON Flames	-
32 - 2020-02-15	270	Syracruse Crunch	-	CHICAGO Wolves	-
33 - 2020-02-16	282	MONT-LAURIER Sommet	-	Syracruse Crunch	-
34 - 2020-02-17	302	Syracruse Crunch	-	ROCKFORD IceHogs	-
35 - 2020-02-18	312	UTICA Comets	-	Syracruse Crunch	-
37 - 2020-02-20	328	Syracruse Crunch	-	PV Sharapovas	-
38 - 2020-02-21	333	Syracruse Crunch	-	STOCKTON Flames	-
39 - 2020-02-22	347	PV Sharapovas	-	Syracruse Crunch	-
40 - 2020-02-23	360	COLORADO Eagles	-	Syracruse Crunch	-
42 - 2020-02-25	375	Syracruse Crunch	-	CORNWALL Aces	-
43 - 2020-02-26	386	ROCKFORD IceHogs	-	Syracruse Crunch	-
44 - 2020-02-27	402	PROVIDENCE Bruins	-	Syracruse Crunch	-
45 - 2020-02-28	417	Syracruse Crunch	-	IOWA Wild	-
46 - 2020-02-29	424	Syracruse Crunch	-	VICTORIAVILLE Tigres	-
47 - 2020-03-01	438	CORNWALL Aces	-	Syracruse Crunch	-
49 - 2020-03-03	455	LAVAL Rockets	-	Syracruse Crunch	-
50 - 2020-03-04	471	Syracruse Crunch	-	LEHIGH VALLEY Phantoms	-
52 - 2020-03-06	481	Syracruse Crunch	-	Binghampton Devils	-
53 - 2020-03-07	489	Syracruse Crunch	-	UTICA Comets	-
54 - 2020-03-08	498	Marlies de Toronto	-	Syracruse Crunch	-
56 - 2020-03-10	514	Syracruse Crunch	-	LAVAL Rockets	-
57 - 2020-03-11	523	BROOKLYN Wolfpack	-	Syracruse Crunch	-
59 - 2020-03-13	539	Manitoba Moose	-	Syracruse Crunch	-
60 - 2020-03-14	562	Syracruse Crunch	-	COLORADO Eagles	-
61 - 2020-03-15	570	CORNWALL Aces	-	Syracruse Crunch	-
62 - 2020-03-16	583	Syracruse Crunch	-	SAN DIEGO Gulls	-
63 - 2020-03-17	595	LEHIGH VALLEY Phantoms	-	Syracruse Crunch	-
65 - 2020-03-19	611	Syracruse Crunch	-	BRIDGEPORT Sound Tigers	-
66 - 2020-03-20	623	BELLEVILLE Senators	-	Syracruse Crunch	-
67 - 2020-03-21	637	Syracruse Crunch	-	WILKIES-BARRIE Penguins	-
68 - 2020-03-22	646	BRIDGEPORT Sound Tigers	-	Syracruse Crunch	-
69 - 2020-03-23	664	TUSCON Roadrunners	-	Syracruse Crunch	-
70 - 2020-03-24	671	Syracruse Crunch	-	HOLLYWOOD Oscar	-
72 - 2020-03-26	692	LEHIGH VALLEY Phantoms	-	Syracruse Crunch	-
73 - 2020-03-27	705	Syracruse Crunch	-	PROVIDENCE Bruins	-
74 - 2020-03-28	713	Syracruse Crunch	-	HOLLYWOOD Oscar	-
75 - 2020-03-29	726	STOCKTON Flames	-	Syracruse Crunch	-
77 - 2020-03-31	742	HERSEY Bears	-	Syracruse Crunch	-
78 - 2020-04-01	754	Syracruse Crunch	-	MILWAUKEE Admirals	-
79 - 2020-04-02	768	VICTORIAVILLE Tigres	-	Syracruse Crunch	-
80 - 2020-04-03	780	Syracruse Crunch	-	MILWAUKEE Admirals	-
81 - 2020-04-04	791	Syracruse Crunch	-	PV Sharapovas	-
82 - 2020-04-05	804	CHICAGO Wolves	-	Syracruse Crunch	-
84 - 2020-04-07	822	HERSEY Bears	-	Syracruse Crunch	-
85 - 2020-04-08	837	Syracruse Crunch	-	BROOKLYN Wolfpack	-
86 - 2020-04-09	845	WILKIES-BARRIE Penguins	-	Syracruse Crunch	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11	857	Syracruse Crunch	-	VICTORIAVILLE Tigres	-
89 - 2020-04-12	869	Syracruse Crunch	-	Marlies de Toronto	-
90 - 2020-04-13	880	IOWA Wild	-	Syracruse Crunch	-
91 - 2020-04-14	899	HOLLYWOOD Oscar	-	Syracruse Crunch	-
93 - 2020-04-16	913	Syracruse Crunch	-	HERSEY Bears	-
94 - 2020-04-17	925	SAN DIEGO Gulls	-	Syracruse Crunch	-
95 - 2020-04-18	945	Manitoba Moose	-	Syracruse Crunch	-
97 - 2020-04-20	964	IOWA Wild	-	Syracruse Crunch	-
98 - 2020-04-21	971	Syracruse Crunch	-	BELLEVILLE Senators	-
99 - 2020-04-22	981	Syracruse Crunch	-	Manitoba Moose	-
100 - 2020-04-23	997	Syracruse Crunch	-	Manitoba Moose	-
101 - 2020-04-24	1000	Syracruse Crunch	-	BELLEVILLE Senators	-
102 - 2020-04-25	1007	Syracruse Crunch	-	LEHIGH VALLEY Phantoms	-
103 - 2020-04-26	1014	WILKIES-BARRIE Penguins	-	Syracruse Crunch	-
106 - 2020-04-29	1038	HOLLYWOOD Oscar	-	Syracruse Crunch	-
110 - 2020-05-03	1066	Binghampton Devils	-	Syracruse Crunch	-

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
135,548$	1,840,000$	1,840,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	129,642$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	103	17,315$	1,783,445$

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
33	6	3	2	0	0	0	0	1	26	17	9	3	2	0	0	0	0	0	1	17	5	12	3	1	2	0	0	0	0	0	9	12	-3	7	26	47	73	0	1	11	8	7	0	213	73	73	67	3	177	56	36	127	15	2	13.33%	15	3	80.00%	0	88	168	52.38%	65	171	38.01%	56	94	59.57%	166	128	135	33	62	34
Total Saison Régulière	6	3	2	0	0	0	0	1	26	17	9	3	2	0	0	0	0	0	1	17	5	12	3	1	2	0	0	0	0	0	9	12	-3	7	26	47	73	0	1	11	8	7	0	213	73	73	67	3	177	56	36	127	15	2	13.33%	15	3	80.00%	0	88	168	52.38%	65	171	38.01%	56	94	59.57%	166	128	135	33	62	34
Séries
32	4	0	4	0	0	0	0	0	8	15	-7	2	0	2	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	4	8	-4	0	8	13	21	0	0	1	6	1	0	125	35	33	34	23	175	62	32	92	16	0	0.00%	15	3	80.00%	0	34	148	22.97%	45	169	26.63%	27	68	39.71%	106	76	124	31	50	24
Total Séries	4	0	4	0	0	0	0	0	8	15	-7	2	0	2	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	4	8	-4	0	8	13	21	0	0	1	6	1	0	125	35	33	34	23	175	62	32	92	16	0	0.00%	15	3	80.00%	0	34	148	22.97%	45	169	26.63%	27	68	39.71%	106	76	124	31	50	24