LAAHS - Hershey Bears

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Stats d'équipe en Carrière

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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	Colby Cave	X	X			100.00	79	44	90	72	74	62	89	64	78	59	57	74	75	59	59	65	80	64	0
2	Brett Howden (R)	X				100.00	75	43	92	72	72	69	55	67	81	68	61	72	25	52	52	66	68	63	0
3	Boo Nieves	X				100.00	71	44	93	76	79	56	81	57	59	62	59	74	25	58	58	65	79	63	0
4	Cory Conacher		X	X		100.00	63	63	62	71	63	69	70	68	50	67	62	65	59	64	65	65	79	63	0
5	Brendan Gaunce	X	X			100.00	78	79	74	71	79	67	68	65	80	59	63	70	60	60	60	66	79	63	0
6	Nicolas Roy	X				100.00	81	78	87	68	78	83	89	60	75	54	61	67	58	44	44	66	80	62	0
7	Teddy Blueger	X	X	X		100.00	84	67	84	68	69	59	57	60	52	63	70	81	25	46	46	71	62	62	0
8	Ross Colton (R)	X	X			100.00	77	74	84	59	74	66	68	58	73	53	58	64	55	44	44	61	80	58	0
9	Travis St. Denis	X		X		100.00	60	59	63	65	59	84	90	60	75	57	58	56	55	44	44	60	80	58	0
10	Marian Studenic (R)			X		100.00	71	62	92	62	62	74	79	57	50	51	58	61	55	44	44	61	82	57	0
11	Matheson Iacopelli		X	X		100.00	77	76	80	67	76	59	62	47	50	43	46	61	44	44	44	53	81	53	0
12	Nick DeSimone				X	100.00	76	72	85	65	72	74	78	61	25	54	53	64	50	44	44	61	80	61	0
13	Igor Ozhiganov (R)				X	100.00	76	44	91	66	76	64	65	61	25	48	48	64	25	49	49	59	78	60	0
14	Matt Donovan (R)				X	100.00	74	75	70	67	75	71	75	57	25	47	52	62	49	44	44	59	77	60	0
15	Riley Stillman (R)				X	100.00	72	71	75	69	71	72	78	48	25	40	41	59	39	44	44	53	83	58	0
16	Colby Sissons (R)				X	100.00	74	70	83	65	70	67	72	49	25	42	41	60	39	44	44	53	79	57	0
Rayé
1	Brett Pollock		X	X		64.82	78	74	87	68	74	49	50	51	50	48	46	65	44	54	54	54	78	55	0
2	Dalton Prout				X	100.00	83	46	87	69	85	62	54	58	25	45	48	67	25	67	68	59	69	62	0
3	Parker Wotherspoon				X	100.00	67	62	77	62	62	68	73	51	25	45	42	57	40	44	44	53	19	55	0

	MOYENNE D'ÉQUIPE					98.11	75	63	82	67	72	67	71	58	50	53	54	65	45	50	50	61	74	60

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Devin Williams (R)	100.00	67	52	65	62	70	66	72	76	71	71	30	44	44	68	80	64	0
2	Mike McKenna	100.00	49	60	58	75	50	48	43	49	60	50	45	47	47	51	80	53	0
Rayé
1	Etienne Marcoux (R)	100.00	46	53	66	60	42	54	50	53	54	53	30	44	44	50	19	51	0

	MOYENNE D'ÉQUIPE	100.00	54	55	63	66	54	56	55	59	62	58	35	45	45	56	60	56

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Benoit Grouix	60	47	73	37	56	47	53	CAN	51	2	550,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	FW	FL	FT	S1	S2	S3
1	Brett Howden	Hershey Bears (TAM)	C	16	8	16	24	4	7	5	22	29	74	17	39	10.81%	8	316	19.76	2	3	5	5	11	0	0	1	1	51.85%	486	15	8	1	0	1.52	0	0	1	1	2	0
2	Cory Conacher	Hershey Bears (TAM)	LW/RW	16	8	13	21	2	14	0	28	21	78	18	47	10.26%	9	323	20.22	2	2	4	5	12	0	3	1	0	42.86%	28	16	3	0	1	1.30	0	0	0	1	2	0
3	Brendan Gaunce	Hershey Bears (TAM)	C/LW	16	9	10	19	2	7	5	27	38	69	17	23	13.04%	7	275	17.21	2	2	4	5	9	2	22	3	0	50.78%	193	11	4	0	0	1.38	0	0	1	1	0	1
4	Teddy Blueger	Hershey Bears (TAM)	C/LW/RW	16	9	10	19	4	21	15	35	32	51	11	27	17.65%	14	344	21.50	0	2	2	0	12	0	27	0	0	45.95%	37	18	11	0	0	1.10	0	2	1	1	0	3
5	Colby Cave	Hershey Bears (TAM)	C/LW	16	7	9	16	4	0	0	31	15	50	19	31	14.00%	11	276	17.31	0	0	0	0	0	0	32	0	1	38.98%	59	7	7	1	0	1.16	0	0	0	2	2	2
6	Travis St. Denis	Hershey Bears (TAM)	C/RW	16	5	8	13	3	8	0	18	19	28	4	28	17.86%	8	252	15.78	2	1	3	4	9	0	0	1	0	40.00%	15	5	3	0	0	1.03	0	0	0	0	0	1
7	Nick DeSimone	Hershey Bears (TAM)	D	16	1	9	10	4	6	0	24	29	21	11	17	4.76%	20	402	25.15	0	2	2	0	14	1	29	0	0	0.00%	0	11	16	0	0	0.50	0	0	0	0	1	0
8	Nicolas Roy	Hershey Bears (TAM)	C	16	2	7	9	-5	0	0	16	17	43	7	32	4.65%	3	205	12.82	0	0	0	0	0	0	4	0	0	52.17%	92	7	8	0	0	0.88	0	0	0	0	0	0
9	Ross Colton	Hershey Bears (TAM)	C/LW	16	5	4	9	-4	2	0	15	22	27	8	12	18.52%	5	197	12.34	0	2	2	1	9	0	0	1	0	57.14%	7	9	3	0	0	0.91	0	0	0	0	0	0
10	Boo Nieves	Hershey Bears (TAM)	C	16	4	3	7	-1	0	0	6	12	48	7	26	8.33%	3	171	10.73	0	0	0	1	1	0	11	1	0	30.00%	60	15	5	0	0	0.82	0	0	0	0	0	0
11	Igor Ozhiganov	Hershey Bears (TAM)	D	16	4	3	7	0	0	0	13	21	21	9	4	19.05%	22	321	20.09	1	1	2	1	7	0	22	1	0	0.00%	0	4	13	0	0	0.44	0	0	0	1	0	0
12	Dalton Prout	Hershey Bears (TAM)	D	16	0	6	6	2	6	0	27	16	25	8	5	0.00%	25	366	22.94	0	0	0	0	7	0	25	0	0	0.00%	0	3	12	0	0	0.33	0	0	0	0	0	0
13	Matt Donovan	Hershey Bears (TAM)	D	16	0	6	6	0	25	15	32	12	16	7	6	0.00%	14	336	21.02	0	0	0	1	13	0	28	0	0	0.00%	0	6	10	0	0	0.36	0	2	1	0	1	0
14	Marian Studenic	Hershey Bears (TAM)	RW	16	2	4	6	-4	5	5	13	16	24	7	15	8.33%	7	209	13.11	0	0	0	0	0	0	13	0	0	0.00%	7	8	3	0	0	0.57	1	0	0	0	0	1
15	Matheson Iacopelli	Hershey Bears (TAM)	LW/RW	16	0	3	3	-1	2	0	11	9	16	4	13	0.00%	2	149	9.33	0	0	0	0	0	0	0	0	0	33.33%	3	1	3	0	0	0.40	0	0	0	0	0	0
16	Brett Pollock	Hershey Bears (TAM)	LW/RW	10	1	1	2	0	0	0	8	2	17	7	8	5.88%	6	81	8.16	0	0	0	0	0	0	0	0	0	0.00%	1	4	1	0	0	0.49	0	0	0	0	0	0
17	Colby Sissons	Hershey Bears (TAM)	D	16	0	2	2	-2	7	5	8	16	10	2	3	0.00%	16	255	15.98	0	0	0	0	0	0	2	0	0	0.00%	0	0	11	0	0	0.16	0	1	0	0	0	0
18	Riley Stillman	Hershey Bears (TAM)	D	16	0	1	1	-3	15	5	13	21	10	5	8	0.00%	14	261	16.34	0	0	0	0	2	0	6	0	0	0.00%	0	1	11	0	0	0.08	1	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				282	65	115	180	5	125	55	347	347	628	168	344	10.35%	194	4747	16.83	9	15	24	23	112	3	230	9	2	48.48%	988	141	132	2	1	0.76	2	5	4	7	8	8

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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	GA	SA	SAR	A	ST	BG	S1	S2	S3
1	Devin Williams	Hershey Bears (TAM)	15	9	5	1	0.902	3.99	888	2	59	599	343	4	15	0	2	1	1
2	Mike McKenna	Hershey Bears (TAM)	2	0	1	0	0.864	6.43	84	0	9	66	43	0	1	16	0	0	0
Stats d'équipe Total ou en Moyenne			17	9	6	1	0.898	4.19	973	2	68	665	386	4	16	16	2	1	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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Boo Nieves	Hershey Bears (TAM)	C	24	1994-01-23	No	212 Lbs	6 ft3	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Brendan Gaunce	Hershey Bears (TAM)	C/LW	24	1994-03-25	No	217 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Brett Howden	Hershey Bears (TAM)	C	20	1998-03-29	Yes	193 Lbs	6 ft2	No	No	No	2	Pro & Farm	863,333$	0$	0$	No	863,333$		Lien
Brett Pollock (Sur la Masse Salariale)	Hershey Bears (TAM)	LW/RW	22	1996-03-17	No	195 Lbs	6 ft3	No	No	No	1	Pro & Farm	894,000$	0$	0$	No			Lien
Colby Cave	Hershey Bears (TAM)	C/LW	23	1994-12-26	No	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	675,000$	0$	0$	No			Lien
Colby Sissons	Hershey Bears (TAM)	D	20	1998-01-15	Yes	185 Lbs	6 ft2	No	No	No	3	Pro & Farm	696,666$	0$	0$	No	696,666$	696,666$	Lien
Cory Conacher	Hershey Bears (TAM)	LW/RW	28	1989-12-14	No	180 Lbs	5 ft8	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Dalton Prout	Hershey Bears (TAM)	D	28	1990-03-13	No	230 Lbs	6 ft3	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Lien
Devin Williams	Hershey Bears (TAM)	G	22	1995-10-30	Yes	174 Lbs	6 ft0	No	No	No	1	Pro & Farm	575,000$	0$	0$	No			Lien
Etienne Marcoux	Hershey Bears (TAM)	G	24	1993-09-29	Yes	168 Lbs	6 ft0	Yes	No	No	1	Pro & Farm	575,000$	0$	0$	No			Lien
Igor Ozhiganov	Hershey Bears (TAM)	D	25	1992-10-13	Yes	207 Lbs	6 ft2	Yes	No	No	1	Pro & Farm	500,000$	0$	0$	No			Lien
Marian Studenic	Hershey Bears (TAM)	RW	19	1998-10-28	Yes	163 Lbs	6 ft1	No	No	No	2	Pro & Farm	775,833$	0$	0$	No	775,833$		Lien
Matheson Iacopelli	Hershey Bears (TAM)	LW/RW	24	1994-05-15	No	207 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien
Matt Donovan	Hershey Bears (TAM)	D	28	1990-05-08	Yes	205 Lbs	6 ft1	No	No	No	2	Pro & Farm	675,000$	0$	0$	No	675,000$		Lien
Mike McKenna	Hershey Bears (TAM)	G	35	1983-04-11	No	190 Lbs	6 ft2	Yes	No	No	1	Pro & Farm	770,000$	0$	0$	No			Lien
Nick DeSimone	Hershey Bears (TAM)	D	23	1994-11-21	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien
Nicolas Roy	Hershey Bears (TAM)	C	21	1997-02-05	No	208 Lbs	6 ft4	No	No	No	2	Pro & Farm	720,000$	0$	0$	No	720,000$		Lien
Parker Wotherspoon	Hershey Bears (TAM)	D	20	1997-08-24	No	168 Lbs	6 ft0	No	No	No	1	Pro & Farm	858,000$	0$	0$	No			Lien
Riley Stillman	Hershey Bears (TAM)	D	20	1998-03-08	Yes	190 Lbs	6 ft1	No	No	No	3	Pro & Farm	773,333$	0$	0$	No	773,333$	773,333$	Lien
Ross Colton	Hershey Bears (TAM)	C/LW	21	1996-09-11	Yes	209 Lbs	6 ft0	No	No	No	2	Pro & Farm	767,500$	0$	0$	No	767,500$		Lien
Teddy Blueger	Hershey Bears (TAM)	C/LW/RW	23	1994-08-14	No	185 Lbs	6 ft0	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$		Lien
Travis St. Denis	Hershey Bears (TAM)	C/RW	25	1992-09-17	No	170 Lbs	5 ft7	No	No	No	1	Pro & Farm	675,000$	0$	0$	No			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	23.59	193 Lbs	6 ft1	1.45	740,621$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Cory Conacher	Brett Howden	Teddy Blueger	40	0	1	4
2	Colby Cave	Brendan Gaunce	Travis St. Denis	30	0	1	4
3	Ross Colton	Nicolas Roy	Marian Studenic	20	0	2	3
4	Matheson Iacopelli	Boo Nieves		10	0	2	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Nick DeSimone	42	0	2	3
2	Igor Ozhiganov	Matt Donovan	33	0	2	3
3	Riley Stillman	Colby Sissons	25	0	2	3
4	Nick DeSimone	Colby Sissons	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Teddy Blueger	Brett Howden	Cory Conacher	60	0	0	5
2	Ross Colton	Brendan Gaunce	Travis St. Denis	40	0	1	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nick DeSimone	Matt Donovan	60	0	1	4
2		Igor Ozhiganov	40	0	1	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Colby Cave	Teddy Blueger	60	0	4	1
2	Boo Nieves	Brendan Gaunce	40	0	4	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nick DeSimone		60	0	4	1
2	Matt Donovan	Igor Ozhiganov	40	0	4	1

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Teddy Blueger	60	0	5	0	Nick DeSimone		60	1	4	0
2	Colby Cave	40	0	5	0	Matt Donovan	Igor Ozhiganov	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Brett Howden	Teddy Blueger	60	0	1	4
2	Brendan Gaunce	Nicolas Roy	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nick DeSimone	Matt Donovan	60	0	1	4
2		Igor Ozhiganov	40	0	2	3

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Teddy Blueger	Ross Colton	Cory Conacher	Nick DeSimone	Matt Donovan

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Colby Cave	Brett Howden	Teddy Blueger		Nick DeSimone

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Nicolas Roy, Boo Nieves, Marian Studenic	Nicolas Roy, Boo Nieves	Marian Studenic

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Riley Stillman, Colby Sissons, Matt Donovan	Riley Stillman	, Matt Donovan

Tirs de Pénalité
Colby Cave, Brendan Gaunce, Cory Conacher, Nicolas Roy, Travis St. Denis

Gardien
#1 : Devin Williams, #2 : Mike McKenna

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Hartford Wolf Pack	5	4	1	0	0	0	0	0	25	14	11	3	3	0	0	0	0	0	0	18	8	10	2	1	1	0	0	0	0	0	7	6	1	8	0.800	25	46	71	0	0	14	26	23	2	196	189	239	187	13	179	59	49	114	11	6	54.55%	12	3	75.00%	0	160	340	47.06%	188	377	49.87%	131	272	48.16%	329	190	353	148	290	140
2	Laval Rockets	6	4	2	0	0	0	0	0	23	27	-4	3	1	2	0	0	0	0	0	6	16	-10	3	3	0	0	0	0	0	0	17	11	6	8	0.667	23	38	61	0	0	14	26	23	2	225	189	239	187	13	285	83	51	139	5	2	40.00%	18	7	61.11%	0	160	340	47.06%	188	377	49.87%	131	272	48.16%	329	190	353	148	290	140
3	Philadelphia Phantoms	5	1	4	0	0	0	0	0	17	27	-10	2	0	2	0	0	0	0	0	6	9	-3	3	1	2	0	0	0	0	0	11	18	-7	2	0.200	17	32	49	0	0	14	26	23	2	207	189	239	187	13	201	52	31	94	2	1	50.00%	8	3	62.50%	0	160	340	47.06%	188	377	49.87%	131	272	48.16%	329	190	353	148	290	140
	Total	16	9	7	0	0	0	0	0	65	68	-3	8	4	4	0	0	0	0	0	30	33	-3	8	5	3	0	0	0	0	0	35	35	0	18	0.563	65	116	181	0	0	14	26	23	2	628	189	239	187	13	665	194	131	347	18	9	50.00%	38	13	65.79%	0	160	340	47.06%	188	377	49.87%	131	272	48.16%	329	190	353	148	290	140
	_Since Last GM Reset	16	9	7	0	0	0	0	0	65	68	-3	8	4	4	0	0	0	0	0	30	33	-3	8	5	3	0	0	0	0	0	35	35	0	18	0.563	65	116	181	0	0	14	26	23	2	628	189	239	187	13	665	194	131	347	18	9	50.00%	38	13	65.79%	0	160	340	47.06%	188	377	49.87%	131	272	48.16%	329	190	353	148	290	140
	_Vs Conference	16	9	7	0	0	0	0	0	65	68	-3	8	4	4	0	0	0	0	0	30	33	-3	8	5	3	0	0	0	0	0	35	35	0	18	0.563	65	116	181	0	0	14	26	23	2	628	189	239	187	13	665	194	131	347	18	9	50.00%	38	13	65.79%	0	160	340	47.06%	188	377	49.87%	131	272	48.16%	329	190	353	148	290	140
	_Vs Division	11	4	1	0	0	0	0	0	48	41	7	6	3	0	0	0	0	0	0	24	24	0	5	1	1	0	0	0	0	0	24	17	7	8	0.364	48	84	132	0	0	14	26	23	2	421	189	239	187	13	464	142	100	253	16	8	50.00%	30	10	66.67%	0	160	340	47.06%	188	377	49.87%	131	272	48.16%	329	190	353	148	290	140

			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
16	18	L4	65	116	181	628	665	194	131	347	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	9	7	0	0	0	0	65	68

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	4	4	0	0	0	0	30	33

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	3	0	0	0	0	35	35

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	5	2	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
18	9	50.00%	38	13	65.79%	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
189	239	187	13	14	26	23	2

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
160	340	47.06%	188	377	49.87%	131	272	48.16%

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
329	190	353	148	290	140

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
1 - 2019-10-04	3	Hartford Wolf Pack	2	Hershey Bears	3	W		Sommaire du Match
2 - 2019-10-05	11	Hartford Wolf Pack	5	Hershey Bears	10	W		Sommaire du Match
3 - 2019-10-06	19	Hershey Bears	4	Hartford Wolf Pack	2	W		Sommaire du Match
4 - 2019-10-07	27	Hershey Bears	3	Hartford Wolf Pack	4	L	X	Sommaire du Match
5 - 2019-10-08	35	Hartford Wolf Pack	1	Hershey Bears	5	W		Sommaire du Match
8 - 2019-10-11	58	Laval Rockets	6	Hershey Bears	2	L		Sommaire du Match
9 - 2019-10-12	62	Laval Rockets	2	Hershey Bears	3	W	X	Sommaire du Match
10 - 2019-10-13	66	Hershey Bears	6	Laval Rockets	4	W		Sommaire du Match
11 - 2019-10-14	70	Hershey Bears	5	Laval Rockets	3	W		Sommaire du Match
12 - 2019-10-15	74	Laval Rockets	8	Hershey Bears	1	L		Sommaire du Match
13 - 2019-10-16	78	Hershey Bears	6	Laval Rockets	4	W		Sommaire du Match
15 - 2019-10-18	85	Hershey Bears	8	Philadelphia Phantoms	7	W	X	Sommaire du Match
16 - 2019-10-19	87	Hershey Bears	2	Philadelphia Phantoms	6	L		Sommaire du Match
17 - 2019-10-20	89	Philadelphia Phantoms	4	Hershey Bears	3	L		Sommaire du Match
18 - 2019-10-21	91	Philadelphia Phantoms	5	Hershey Bears	3	L		Sommaire du Match
19 - 2019-10-22	93	Hershey Bears	1	Philadelphia Phantoms	5	L		Sommaire du Match

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	15,388	7,596
Assistance PCT	96.18%	94.95%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
33	2873 - 95.77%	121,532$	972,255$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	1,539,966$	1,539,966$	0$

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

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

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Saison Régulière
2016	82	38	29	0	1	2	4	8	345	316	29	41	21	13	0	1	1	2	3	183	146	37	41	17	16	0	0	1	2	5	162	170	-8	76	345	570	915	1	0	73	134	133	6	3058	824	1187	1031	56	2909	1016	2158	2059	208	73	35.10%	231	48	79.22%	9	1025	1925	53.25%	1046	1948	53.70%	799	1465	54.54%	1763	958	1652	763	1568	793
2017	82	30	40	0	5	5	0	2	353	376	-23	41	13	24	0	1	2	0	1	160	183	-23	41	17	16	0	4	3	0	1	193	193	0	60	353	576	929	1	1	70	140	138	5	2900	857	969	1055	25	2960	995	1712	1980	237	64	27.00%	283	88	68.90%	5	911	1733	52.57%	915	1701	53.79%	756	1428	52.94%	1719	933	1685	770	1539	773
2018	82	31	34	0	5	7	2	3	366	388	-22	41	19	13	0	1	5	1	2	196	178	18	41	12	21	0	4	2	1	1	170	210	-40	62	366	594	960	3	0	83	158	118	13	3050	929	1105	1000	37	3074	1004	1537	2079	225	77	34.22%	234	88	62.39%	4	930	1739	53.48%	920	1757	52.36%	819	1489	55.00%	1695	928	1722	777	1550	754
2019	82	38	25	0	4	4	6	5	404	333	71	41	20	12	0	3	2	3	1	214	166	48	41	18	13	0	1	2	3	4	190	167	23	76	404	643	1047	1	1	110	160	124	16	3016	981	1061	946	64	3043	1004	1255	1878	232	73	31.47%	245	61	75.10%	4	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
Total Saison Régulière	328	137	128	0	15	18	12	18	1468	1413	55	164	73	62	0	6	10	6	7	753	673	80	164	64	66	0	9	8	6	11	715	740	-25	274	1468	2383	3851	6	2	336	592	513	40	12024	3591	4322	4032	182	11986	4019	6662	7996	902	287	31.82%	993	285	71.30%	22	3743	7062	53.00%	3904	7225	54.03%	3197	5893	54.25%	6937	3794	6737	3077	6207	3100
2019	16	9	7	0	0	0	0	0	65	68	-3	8	4	4	0	0	0	0	0	30	33	-3	8	5	3	0	0	0	0	0	35	35	0	18	65	116	181	0	0	14	26	23	2	628	189	239	187	13	665	194	131	347	18	9	50.00%	38	13	65.79%	0	160	340	47.06%	188	377	49.87%	131	272	48.16%	329	190	353	148	290	140
Total Séries	16	9	7	0	0	0	0	0	65	68	-3	8	4	4	0	0	0	0	0	30	33	-3	8	5	3	0	0	0	0	0	35	35	0	18	65	116	181	0	0	14	26	23	2	628	189	239	187	13	665	194	131	347	18	9	50.00%	38	13	65.79%	0	160	340	47.06%	188	377	49.87%	131	272	48.16%	329	190	353	148	290	140