Stanley Cup Winners Hockey League

WASHINGTON Capitals
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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	Ondrej Kase	0	X		X		100.00	62	35	82	75	70	84	65	74	60	70	74	60	74	56	57	48	94	69	0
2	Chandler Stephenson	0	X				100.00	62	35	77	65	75	79	77	64	73	64	63	72	64	56	52	63	96	67	0
3	Nick Paul	0		X			100.00	66	35	68	68	92	57	60	68	55	64	64	57	65	52	51	60	94	64	0
4	Lukas Sedlak	0	X				100.00	72	35	71	64	75	73	60	63	73	62	63	66	63	56	52	47	96	64	0
5	Anders Bjork (R)	0		X			100.00	53	35	75	66	72	67	60	65	65	58	58	58	61	52	51	55	96	61	0
6	Alexandre Fortin (R)	0		X			100.00	55	35	73	63	71	59	62	63	57	58	58	57	59	51	50	44	95	60	0
7	Kevin Roy (R)	0		X			100.00	50	35	73	61	63	56	51	61	50	54	54	52	54	51	50	60	96	56	0
8	Matt Grzelcyk (R)	0				X	100.00	63	44	66	66	64	83	79	66	30	71	70	71	68	55	52	61	96	68	0
9	Mike Reilly	0				X	100.00	65	35	78	65	76	82	70	64	30	62	61	70	68	56	52	60	94	66	0
10	Tim Heed (R)	0				X	100.00	60	35	75	68	68	75	68	68	30	68	60	65	69	53	51	48	96	65	0
11	Sami Niku (R)	0				X	100.00	55	35	74	65	73	65	65	65	30	56	53	60	63	51	50	49	94	60	0
12	Sebastian D Aho	0				X	100.00	50	89	64	70	64	50	50	70	30	51	46	51	56	51	50	56	96	55	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	59	40	73	66	72	69	64	66	49	62	60	62	64	53	52	54	95	63

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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	Michael Hutchinson	100.00	76	74	88	83	75	74	76	75	74	75	70	58	67	53	94	67	0
2	Anders Lindback	100.00	73	73	80	90	75	78	76	75	75	71	71	60	67	39	94	67	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	75	74	84	87	75	76	76	75	75	73	71	59	67	46	94	67

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jeff Daniels	66	65	65	65	72	72	70	CAN	52	6	1,000,000$

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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	FO%	FOT	P/20	S1	S2	S3
1	Chandler Stephenson	HERSEY Bears (WSH)	C	7	4	6	10	2	2	11	38	52	12	26	7.69%	2	192	27.53	1	2	3	7	21	0	10	0	56.88%	269	1.04	2	0	0
2	Tim Heed	HERSEY Bears (WSH)	D	7	1	9	10	5	4	11	4	14	4	11	7.14%	9	151	21.66	1	3	4	7	25	0	8	0	0.00%	0	1.32	0	0	1
3	Lukas Sedlak	HERSEY Bears (WSH)	C	7	4	3	7	-2	4	21	13	40	8	31	10.00%	2	179	25.70	0	1	1	6	23	0	7	2	48.84%	129	0.78	0	1	1
4	Nick Paul	HERSEY Bears (WSH)	LW	7	1	5	6	5	0	5	8	30	7	21	3.33%	2	171	24.48	1	0	1	3	17	0	9	0	60.78%	102	0.70	1	0	0
5	Matt Grzelcyk	HERSEY Bears (WSH)	D	7	2	4	6	-2	8	11	5	25	3	18	8.00%	8	181	25.90	1	0	1	9	22	0	6	1	0.00%	6	0.66	0	1	0
6	Anders Bjork	HERSEY Bears (WSH)	LW	7	3	2	5	-4	0	4	5	26	6	26	11.54%	0	173	24.76	0	1	1	2	21	1	6	1	50.00%	14	0.58	0	0	0
7	Sami Niku	HERSEY Bears (WSH)	D	7	1	3	4	1	0	19	14	9	1	1	11.11%	8	126	18.13	0	0	0	1	4	0	0	0	50.00%	2	0.63	0	0	1
8	Alexandre Fortin	HERSEY Bears (WSH)	LW	7	2	1	3	4	0	5	8	17	6	16	11.76%	1	167	23.98	1	0	1	3	18	0	4	0	44.44%	9	0.36	0	1	0
9	Kevin Roy	HERSEY Bears (WSH)	LW	7	2	1	3	-1	4	3	5	15	6	16	13.33%	1	156	22.30	0	0	0	3	20	0	1	0	58.33%	12	0.38	0	0	0
10	Mike Reilly	HERSEY Bears (WSH)	D	7	0	2	2	-4	0	7	4	12	3	7	0.00%	5	120	17.16	0	0	0	6	21	0	9	0	0.00%	0	0.33	0	0	0
11	Sebastian D Aho	HERSEY Bears (WSH)	D	7	0	1	1	-2	6	3	8	8	1	5	0.00%	3	110	15.73	0	0	0	1	9	0	2	0	33.33%	18	0.18	0	0	0
Stats d'équipe Total ou en Moyenne				77	20	37	57	2	28	100	112	248	57	178	8.06%	41	1731	22.48	5	7	12	48	207	1	68	4	54.01%	561	0.66	3	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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Michael Hutchinson	HERSEY Bears (WSH)	7	4	2	1	0.908	2.39	426	0	1	17	185	0	1	0	0.000	0	7	0	0	1	2
Stats d'équipe Total ou en Moyenne			7	4	2	1	0.908	2.39	426	0	1	17	185	0	1	0	0.000	0	7	0	0	1	2

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	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	Link
Alexandre Fortin	HERSEY Bears (WSH)	LW	22	1997-02-25	Yes	84 Kg	183 CM	No	No	No	2	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$				Lien
Anders Bjork	HERSEY Bears (WSH)	LW	23	1996-08-05	Yes	86 Kg	183 CM	No	No	No	2	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$				Lien
Anders Lindback	HERSEY Bears (WSH)	G	31	1988-05-03	No	98 Kg	198 CM	No	No	No	1	Pro & Farm	650,000$	591,441$	650,000$	591,441$	0$	0$	No					Lien
Chandler Stephenson	HERSEY Bears (WSH)	C	25	1994-04-22	No	92 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No					Lien
Kevin Roy	HERSEY Bears (WSH)	LW	26	1993-05-20	Yes	77 Kg	175 CM	No	No	No	2	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$				Lien
Lukas Sedlak	HERSEY Bears (WSH)	C	26	1993-02-25	No	93 Kg	183 CM	No	No	No	1	Pro & Farm	900,000$	818,918$	900,000$	818,918$	0$	0$	No					Lien
Matt Grzelcyk	HERSEY Bears (WSH)	D	25	1994-01-05	Yes	79 Kg	175 CM	No	No	No	2	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$				Lien
Michael Hutchinson	HERSEY Bears (WSH)	G	29	1990-03-02	No	91 Kg	191 CM	No	No	No	5	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	Lien
Mike Reilly	HERSEY Bears (WSH)	D	26	1993-07-13	No	89 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No					Lien
Nick Paul	HERSEY Bears (WSH)	LW	24	1995-03-20	No	105 Kg	193 CM	No	No	No	1	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No					Lien
Ondrej Kase	HERSEY Bears (WSH)	C/RW	23	1995-11-08	No	85 Kg	180 CM	No	No	No	5	Pro & Farm	2,100,000$	1,910,810$	2,100,000$	1,910,810$	0$	0$	No	2,100,000$	2,100,000$	2,100,000$	2,100,000$	Lien
Sami Niku	HERSEY Bears (WSH)	D	22	1996-10-10	Yes	80 Kg	185 CM	No	No	No	2	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$				Lien
Sebastian D Aho	HERSEY Bears (WSH)	D	23	1996-02-17	No	77 Kg	178 CM	No	No	No	2	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$				Lien
Tim Heed	HERSEY Bears (WSH)	D	28	1991-01-27	Yes	82 Kg	180 CM	No	No	No	2	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
14	25.21	87 Kg	183 CM	2.07	850,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Nick Paul	Chandler Stephenson	Alexandre Fortin	31	1	2	2
2	Anders Bjork	Lukas Sedlak	Kevin Roy	26	1	2	2
3	Alexandre Fortin	Chandler Stephenson	Lukas Sedlak	23	1	2	2
4	Kevin Roy	Nick Paul	Anders Bjork	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Grzelcyk	Mike Reilly	31	1	2	2
2		Tim Heed	26	1	2	2
3	Sami Niku		23	1	2	2
4	Sebastian D Aho	Matt Grzelcyk	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Nick Paul	Chandler Stephenson	Alexandre Fortin	55	1	2	2
2	Anders Bjork	Lukas Sedlak	Kevin Roy	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Grzelcyk	Mike Reilly	55	1	2	2
2		Tim Heed	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Chandler Stephenson	Lukas Sedlak	55	1	2	2
2	Nick Paul	Anders Bjork	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Grzelcyk	Mike Reilly	55	1	2	2
2		Tim Heed	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Chandler Stephenson	55	1	2	2	Matt Grzelcyk	Mike Reilly	55	1	2	2
2	Lukas Sedlak	45	1	2	2		Tim Heed	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Chandler Stephenson	Lukas Sedlak	55	1	2	2
2	Nick Paul	Anders Bjork	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Grzelcyk	Mike Reilly	55	1	2	2
2		Tim Heed	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nick Paul	Chandler Stephenson	Alexandre Fortin	Matt Grzelcyk	Mike Reilly

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nick Paul	Chandler Stephenson	Alexandre Fortin	Matt Grzelcyk	Mike Reilly

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Alexandre Fortin, Kevin Roy, Nick Paul	Alexandre Fortin, Kevin Roy	Nick Paul

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Sami Niku, , Sebastian D Aho	Sami Niku	, Sebastian D Aho

Tirs de Pénalité
Chandler Stephenson, Lukas Sedlak, Nick Paul, Anders Bjork, Alexandre Fortin

Gardien
#1 : Michael Hutchinson, #2 : Anders Lindback

Lignes d'Attaque Perso. en Prol.
Chandler Stephenson, Lukas Sedlak, Nick Paul, Anders Bjork, Alexandre Fortin, Kevin Roy, Kevin Roy, , , ,

Lignes de Défense Perso. en Prol.
Matt Grzelcyk, Mike Reilly, , Tim Heed, Sami Niku

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	BRIDGEPORT Sound Tigers	3	1	2	0	0	0	0	0	6	11	-5	2	1	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	2	5	-3	2	0.333	6	9	15	0	0	5	5	9	1	74	77	84	86	3	91	20	18	45	15	3	20.00%	9	2	77.78%	0	156	266	58.65%	95	205	46.34%	53	92	57.61%	190	144	155	45	80	41
2	LAVAL Rockets	1	1	0	0	0	0	0	0	5	0	5	1	1	0	0	0	0	0	0	5	0	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	1	5	5	9	1	36	77	84	86	3	24	8	4	13	4	1	25.00%	2	0	100.00%	0	156	266	58.65%	95	205	46.34%	53	92	57.61%	190	144	155	45	80	41
3	MILWAUKEE Admirals	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	2	3	-1	1	0.500	2	4	6	0	0	5	5	9	1	29	77	84	86	3	30	3	2	15	3	0	0.00%	1	1	0.00%	0	156	266	58.65%	95	205	46.34%	53	92	57.61%	190	144	155	45	80	41
4	SAN DIEGO Gulls	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	1	3	2	1.000	4	8	12	0	0	5	5	9	1	83	77	84	86	3	5	1	0	17	0	0	0.00%	0	0	0.00%	0	156	266	58.65%	95	205	46.34%	53	92	57.61%	190	144	155	45	80	41
	Total	7	3	2	0	1	1	0	0	20	17	3	4	2	1	0	1	0	0	0	12	8	4	3	1	1	0	0	1	0	0	8	9	-1	9	0.643	20	37	57	0	1	5	5	9	1	250	77	84	86	3	185	41	28	100	29	5	17.24%	14	4	71.43%	0	156	266	58.65%	95	205	46.34%	53	92	57.61%	190	144	155	45	80	41
6	UTICA Comets	1	0	0	0	1	0	0	0	3	2	1	1	0	0	0	1	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	5	5	9	1	28	77	84	86	3	35	9	4	10	7	1	14.29%	2	1	50.00%	0	156	266	58.65%	95	205	46.34%	53	92	57.61%	190	144	155	45	80	41
	_Since Last GM Reset	7	3	2	0	1	1	0	0	20	17	3	4	2	1	0	1	0	0	0	12	8	4	3	1	1	0	0	1	0	0	8	9	-1	9	0.643	20	37	57	0	1	5	5	9	1	250	77	84	86	3	185	41	28	100	29	5	17.24%	14	4	71.43%	0	156	266	58.65%	95	205	46.34%	53	92	57.61%	190	144	155	45	80	41
	_Vs Conference	7	3	2	0	1	1	0	0	20	17	3	4	2	1	0	1	0	0	0	12	8	4	3	1	1	0	0	1	0	0	8	9	-1	9	0.643	20	37	57	0	1	5	5	9	1	250	77	84	86	3	185	41	28	100	29	5	17.24%	14	4	71.43%	0	156	266	58.65%	95	205	46.34%	53	92	57.61%	190	144	155	45	80	41
	_Vs Division	2	0	0	0	1	0	0	0	7	3	4	1	0	0	0	1	0	0	0	3	2	1	1	0	0	0	0	0	0	0	4	1	3	2	0.500	7	14	21	0	0	5	5	9	1	111	77	84	86	3	40	10	4	27	7	1	14.29%	2	1	50.00%	0	156	266	58.65%	95	205	46.34%	53	92	57.61%	190	144	155	45	80	41

			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
7	9	L2	20	37	57	250	185	41	28	100	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	2	1	1	0	0	20	17

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	1	1	0	0	0	12	8

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	1	0	1	0	0	8	9

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	2	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
29	5	17.24%	14	4	71.43%	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
77	84	86	3	5	5	9	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
156	266	58.65%	95	205	46.34%	53	92	57.61%

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
190	144	155	45	80	41

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	Lien
2 - 2020-01-16	13	UTICA Comets	2	HERSEY Bears	3	W	X	Sommaire du Match
3 - 2020-01-17	28	LAVAL Rockets	0	HERSEY Bears	5	W		Sommaire du Match
4 - 2020-01-18	43	HERSEY Bears	4	SAN DIEGO Gulls	1	W		Sommaire du Match
5 - 2020-01-19	55	HERSEY Bears	2	MILWAUKEE Admirals	3	L	X	Sommaire du Match
6 - 2020-01-20	65	BRIDGEPORT Sound Tigers	1	HERSEY Bears	3	W		Sommaire du Match
8 - 2020-01-22	78	HERSEY Bears	2	BRIDGEPORT Sound Tigers	5	L		Sommaire du Match
10 - 2020-01-24	91	BRIDGEPORT Sound Tigers	5	HERSEY Bears	1	L		Sommaire du Match
12 - 2020-01-26	104	HERSEY Bears	-	UTICA Comets	-
14 - 2020-01-28	117	HERSEY Bears	-	BRIDGEPORT Sound Tigers	-
17 - 2020-01-31	130	COLORADO Eagles	-	HERSEY Bears	-
18 - 2020-02-01	143	Marlies de Toronto	-	HERSEY Bears	-
20 - 2020-02-03	158	HERSEY Bears	-	SAN DIEGO Gulls	-
21 - 2020-02-04	161	HERSEY Bears	-	COLORADO Eagles	-
22 - 2020-02-05	178	COLORADO Eagles	-	HERSEY Bears	-
23 - 2020-02-06	189	HERSEY Bears	-	LAVAL Rockets	-
25 - 2020-02-08	202	BROOKLYN Wolfpack	-	HERSEY Bears	-
26 - 2020-02-09	217	HERSEY Bears	-	WILKIES-BARRIE Penguins	-
27 - 2020-02-10	229	IOWA Wild	-	HERSEY Bears	-
28 - 2020-02-11	241	HERSEY Bears	-	STOCKTON Flames	-
29 - 2020-02-12	253	WILKIES-BARRIE Penguins	-	HERSEY Bears	-
31 - 2020-02-14	268	BROOKLYN Wolfpack	-	HERSEY Bears	-
33 - 2020-02-16	287	BELLEVILLE Senators	-	HERSEY Bears	-
35 - 2020-02-18	305	HERSEY Bears	-	BROOKLYN Wolfpack	-
36 - 2020-02-19	314	HERSEY Bears	-	BELLEVILLE Senators	-
37 - 2020-02-20	322	MONT-LAURIER Sommet	-	HERSEY Bears	-
38 - 2020-02-21	340	HERSEY Bears	-	CHICAGO Wolves	-
39 - 2020-02-22	350	Manitoba Moose	-	HERSEY Bears	-
41 - 2020-02-24	368	HOLLYWOOD Oscar	-	HERSEY Bears	-
42 - 2020-02-25	378	HERSEY Bears	-	UTICA Comets	-
44 - 2020-02-27	396	Marlies de Toronto	-	HERSEY Bears	-
45 - 2020-02-28	407	HERSEY Bears	-	BROOKLYN Wolfpack	-
46 - 2020-02-29	420	HERSEY Bears	-	PV Sharapovas	-
47 - 2020-03-01	433	PV Sharapovas	-	HERSEY Bears	-
49 - 2020-03-03	447	HERSEY Bears	-	COLORADO Eagles	-
50 - 2020-03-04	460	SAN DIEGO Gulls	-	HERSEY Bears	-
52 - 2020-03-06	473	HERSEY Bears	-	LAVAL Rockets	-
53 - 2020-03-07	486	VICTORIAVILLE Tigres	-	HERSEY Bears	-
54 - 2020-03-08	500	COLORADO Eagles	-	HERSEY Bears	-
55 - 2020-03-09	512	HERSEY Bears	-	VICTORIAVILLE Tigres	-
57 - 2020-03-11	524	PROVIDENCE Bruins	-	HERSEY Bears	-
58 - 2020-03-12	538	HERSEY Bears	-	IOWA Wild	-
59 - 2020-03-13	549	HERSEY Bears	-	CORNWALL Aces	-
60 - 2020-03-14	558	CORNWALL Aces	-	HERSEY Bears	-
61 - 2020-03-15	574	HERSEY Bears	-	LEHIGH VALLEY Phantoms	-
62 - 2020-03-16	585	Binghampton Devils	-	HERSEY Bears	-
63 - 2020-03-17	599	HERSEY Bears	-	PROVIDENCE Bruins	-
65 - 2020-03-19	610	WILKIES-BARRIE Penguins	-	HERSEY Bears	-
66 - 2020-03-20	626	PROVIDENCE Bruins	-	HERSEY Bears	-
67 - 2020-03-21	639	HERSEY Bears	-	TUSCON Roadrunners	-
68 - 2020-03-22	651	UTICA Comets	-	HERSEY Bears	-
70 - 2020-03-24	665	HERSEY Bears	-	MILWAUKEE Admirals	-
71 - 2020-03-25	680	CHICAGO Wolves	-	HERSEY Bears	-
72 - 2020-03-26	691	HERSEY Bears	-	TUSCON Roadrunners	-
73 - 2020-03-27	706	TUSCON Roadrunners	-	HERSEY Bears	-
75 - 2020-03-29	719	HERSEY Bears	-	Manitoba Moose	-
76 - 2020-03-30	730	TUSCON Roadrunners	-	HERSEY Bears	-
77 - 2020-03-31	742	HERSEY Bears	-	Syracruse Crunch	-
78 - 2020-04-01	755	LEHIGH VALLEY Phantoms	-	HERSEY Bears	-
79 - 2020-04-02	767	HERSEY Bears	-	HOLLYWOOD Oscar	-
80 - 2020-04-03	782	LAVAL Rockets	-	HERSEY Bears	-
82 - 2020-04-05	798	HERSEY Bears	-	COLORADO Eagles	-
83 - 2020-04-06	808	LAVAL Rockets	-	HERSEY Bears	-
84 - 2020-04-07	822	HERSEY Bears	-	Syracruse Crunch	-
85 - 2020-04-08	834	HERSEY Bears	-	Marlies de Toronto	-
86 - 2020-04-09	843	MILWAUKEE Admirals	-	HERSEY Bears	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11	861	STOCKTON Flames	-	HERSEY Bears	-
89 - 2020-04-12	867	HERSEY Bears	-	MONT-LAURIER Sommet	-
90 - 2020-04-13	886	UTICA Comets	-	HERSEY Bears	-
92 - 2020-04-15	904	HERSEY Bears	-	PROVIDENCE Bruins	-
93 - 2020-04-16	913	Syracruse Crunch	-	HERSEY Bears	-
94 - 2020-04-17	928	HERSEY Bears	-	ROCKFORD IceHogs	-
95 - 2020-04-18	942	SAN DIEGO Gulls	-	HERSEY Bears	-
96 - 2020-04-19	950	HERSEY Bears	-	SAN DIEGO Gulls	-
97 - 2020-04-20	965	ROCKFORD IceHogs	-	HERSEY Bears	-
98 - 2020-04-21	975	HERSEY Bears	-	Marlies de Toronto	-
99 - 2020-04-22	980	HERSEY Bears	-	ROCKFORD IceHogs	-
101 - 2020-04-24	999	ROCKFORD IceHogs	-	HERSEY Bears	-
102 - 2020-04-25	1010	HERSEY Bears	-	Binghampton Devils	-
104 - 2020-04-27	1024	MILWAUKEE Admirals	-	HERSEY Bears	-
106 - 2020-04-29	1036	HERSEY Bears	-	LAVAL Rockets	-
107 - 2020-04-30	1045	HERSEY Bears	-	CHICAGO Wolves	-
109 - 2020-05-02	1062	CHICAGO Wolves	-	HERSEY Bears	-

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
37	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
188,966$	1,190,000$	1,190,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	107,885$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	101	19,730$	1,992,730$

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	7	3	2	0	1	1	0	0	20	17	3	4	2	1	0	1	0	0	0	12	8	4	3	1	1	0	0	1	0	0	8	9	-1	9	20	37	57	0	1	5	5	9	1	250	77	84	86	3	185	41	28	100	29	5	17.24%	14	4	71.43%	0	156	266	58.65%	95	205	46.34%	53	92	57.61%	190	144	155	45	80	41
Total Saison Régulière	7	3	2	0	1	1	0	0	20	17	3	4	2	1	0	1	0	0	0	12	8	4	3	1	1	0	0	1	0	0	8	9	-1	9	20	37	57	0	1	5	5	9	1	250	77	84	86	3	185	41	28	100	29	5	17.24%	14	4	71.43%	0	156	266	58.65%	95	205	46.34%	53	92	57.61%	190	144	155	45	80	41
Séries
32	5	1	4	0	0	0	0	0	6	12	-6	2	0	2	0	0	0	0	0	2	6	-4	3	1	2	0	0	0	0	0	4	6	-2	2	6	12	18	0	0	0	2	3	1	94	26	34	33	1	150	37	32	78	16	2	12.50%	14	3	78.57%	0	61	141	43.26%	68	164	41.46%	24	63	38.10%	107	72	132	37	65	32
Total Séries	5	1	4	0	0	0	0	0	6	12	-6	2	0	2	0	0	0	0	0	2	6	-4	3	1	2	0	0	0	0	0	4	6	-2	2	6	12	18	0	0	0	2	3	1	94	26	34	33	1	150	37	32	78	16	2	12.50%	14	3	78.57%	0	61	141	43.26%	68	164	41.46%	24	63	38.10%	107	72	132	37	65	32