LAAHS - Hershey Bears

Lightning
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance

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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	Boo Nieves	X				100.00	82	79	88	76	79	67	70	61	76	64	50	71	48	59	59	62	82	63	0	27	1	700,000$
2	Cory Conacher		X	X		100.00	67	63	75	71	63	74	77	67	50	65	62	66	59	64	65	65	81	63	0	31	1	850,000$
3	Alexander True	X		X		100.00	84	45	94	67	78	55	77	63	65	70	55	56	25	56	56	63	68	61	0	23	1	763,333$
4	Ross Colton	X	X			100.00	73	74	72	65	74	77	81	62	78	64	57	63	54	44	44	63	75	61	0	24	1	767,500$
5	Colby Cave	X	X			100.00	80	44	88	72	74	54	72	57	72	50	59	79	75	52	52	64	68	61	0	26	1	700,000$
6	Eric Tangradi	X	X	X		100.00	83	83	83	64	83	56	56	61	50	49	67	70	64	52	52	65	74	60	0	32	1	800,000$
7	Brett Murray (R)		X			100.00	85	81	93	61	81	72	76	57	50	54	56	68	53	44	44	63	75	59	0	22	1	500,001$
8	Jordy Bellerive (R)	X				100.00	72	69	78	67	69	74	79	56	70	49	59	61	56	44	44	61	69	58	0	21	1	733,335$
9	Travis St. Denis	X		X		100.00	61	59	66	68	59	79	85	58	73	54	58	56	55	44	44	60	71	58	0	28	1	700,000$
10	Maksim Sushko (R)			X		100.00	72	68	82	68	68	71	75	56	50	49	58	61	55	44	44	61	72	57	0	22	1	775,002$
11	Marian Studenic			X		100.00	69	62	84	60	62	65	68	57	50	50	60	60	57	44	44	61	71	56	0	22	1	775,833$
12	Thomas Di Pauli	X	X			100.00	72	67	82	65	67	57	57	57	71	51	58	61	55	44	44	59	66	56	0	26	1	500,000$
13	Jani Hakanpaa				X	100.00	83	82	85	66	82	64	69	49	25	43	39	65	37	44	44	53	71	59	0	28	1	500,000$
14	Matt Donovan				X	100.00	75	75	74	62	75	74	80	54	25	52	41	62	39	44	44	55	68	59	0	30	1	675,000$
15	Nick DeSimone				X	100.00	76	72	86	65	72	68	73	51	25	46	42	62	40	44	44	55	76	58	0	26	1	700,000$
16	Parker Wotherspoon				X	100.00	63	62	64	63	62	76	83	52	25	49	41	56	39	44	44	53	66	56	0	23	1	732,222$
17	Sean Durzi (R)				X	100.00	75	71	85	64	71	56	58	51	25	46	41	61	39	44	44	53	72	56	0	22	1	809,167$
18	Niclas Almari (R)				X	100.00	71	63	89	63	63	60	64	45	25	36	39	58	37	44	44	50	49	54	0	22	1	809,168$
Rayé
1	Mason Jobst	X	X			100.00	70	64	83	67	64	58	60	50	63	48	48	59	46	44	44	54	20	53	0	27	1	792,501$
2	Dalton Prout				X	100.00	80	99	25	69	88	60	44	59	25	39	47	62	25	67	68	53	45	59	0	30	1	700,000$
3	Colby Sissons				X	100.00	71	70	72	57	70	46	48	41	25	28	39	57	37	44	44	47	20	50	0	23	2	696,666$

	MOYENNE D'ÉQUIPE					100.00	74	69	78	66	72	65	69	55	48	50	51	63	47	48	48	58	65	58

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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	Joseph Woll (R)	98.00	50	64	80	80	45	52	50	55	49	49	30	44	44	52	68	54	0
2	Stuart Skinner	100.00	50	54	68	81	48	51	50	55	50	50	30	44	44	51	64	53	0
Rayé

	MOYENNE D'ÉQUIPE	99.00	50	59	74	81	47	52	50	55	50	50	30	44	44	52	66	54

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Benoit Grouix	60	47	73	37	56	47	53	CAN	52	1	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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Cory Conacher	Hershey Bears (TAM)	LW/RW	41	42	51	93	8	79	35	69	62	243	62	154	17.28%	26	850	20.75	13	20	33	27	84	0	0	0	0	14	4	3	40.26%	77	49	18	0	6	2.19	2	2	3	0	4	10	5	4
2	Eric Tangradi	Hershey Bears (TAM)	C/LW/RW	41	28	34	62	7	70	40	54	59	136	45	80	20.59%	17	655	15.99	12	18	30	25	85	2	0	2	7	87	1	0	47.00%	200	34	14	0	0	1.89	0	3	3	2	3	3	4	2
3	Boo Nieves	Hershey Bears (TAM)	C	41	12	39	51	8	121	105	69	86	137	55	90	8.76%	33	752	18.34	0	0	0	0	1	0	0	0	5	39	1	0	55.93%	1096	40	21	0	0	1.36	0	0	10	6	5	2	1	4
4	Ross Colton	Hershey Bears (TAM)	C/LW	41	17	18	35	4	137	85	66	37	112	33	63	15.18%	28	705	17.21	0	2	2	1	3	0	0	0	0	3	2	0	63.16%	57	20	16	0	0	0.99	0	0	5	5	7	2	1	1
5	Jordy Bellerive	Hershey Bears (TAM)	C	41	12	22	34	9	25	15	45	45	77	41	50	15.58%	6	567	13.84	1	5	6	2	62	0	0	0	0	12	3	1	48.67%	226	21	12	0	0	1.20	0	0	1	1	1	1	1	1
6	Colby Cave	Hershey Bears (TAM)	C/LW	41	16	17	33	-6	2	0	76	101	131	46	70	12.21%	28	760	18.54	3	5	8	10	61	1	2	3	3	97	1	1	54.37%	206	45	26	0	0	0.87	0	3	0	0	0	2	4	1
7	Travis St. Denis	Hershey Bears (TAM)	C/RW	41	9	18	27	-11	57	15	62	49	107	24	59	8.41%	21	630	15.38	2	4	6	14	61	0	0	0	0	0	0	0	73.08%	26	29	7	0	0	0.86	0	0	2	1	0	1	1	0
8	Marian Studenic	Hershey Bears (TAM)	RW	40	13	13	26	7	25	15	33	24	68	19	32	19.12%	8	409	10.23	5	6	11	18	83	0	0	0	0	0	3	2	31.25%	16	10	5	0	0	1.27	1	2	1	0	2	1	2	1
9	Alexander True	Hershey Bears (TAM)	C/RW	41	9	16	25	-10	0	0	47	52	116	37	57	7.76%	15	583	14.22	0	0	0	0	1	0	0	0	0	0	1	1	50.93%	428	26	14	0	0	0.86	0	0	0	0	0	0	0	0
10	Matt Donovan	Hershey Bears (TAM)	D	41	5	17	22	7	68	40	55	44	47	20	22	10.64%	57	880	21.49	3	6	9	10	94	0	0	0	0	62	1	1	0.00%	0	2	32	0	0	0.50	0	0	2	3	3	0	3	1
11	Nick DeSimone	Hershey Bears (TAM)	D	41	3	19	22	6	74	50	50	72	55	18	16	5.45%	45	1003	24.49	2	4	6	9	85	0	0	0	2	59	0	0	0.00%	0	9	34	0	0	0.44	0	0	3	2	5	0	0	0
12	Maksim Sushko	Hershey Bears (TAM)	RW	41	11	7	18	6	16	10	44	41	72	28	46	15.28%	11	512	12.49	1	0	1	1	4	0	0	0	3	30	4	0	47.83%	23	16	9	1	0	0.70	0	0	1	0	1	3	1	1
13	Brett Murray	Hershey Bears (TAM)	LW	41	4	12	16	5	15	15	49	44	66	23	54	6.06%	17	504	12.32	0	2	2	0	10	0	0	0	3	64	2	0	40.74%	81	9	13	0	0	0.63	0	0	2	0	1	0	0	0
14	Thomas Di Pauli	Hershey Bears (TAM)	C/LW	41	13	3	16	6	16	10	31	29	60	12	22	21.67%	12	318	7.76	0	0	0	0	0	0	0	0	0	1	0	0	44.90%	98	17	9	0	0	1.01	0	0	0	1	1	1	0	2
15	Sean Durzi	Hershey Bears (TAM)	D	41	1	10	11	4	14	10	35	34	21	14	11	4.76%	32	652	15.92	1	0	1	1	17	0	0	0	0	15	0	0	0.00%	0	2	24	0	0	0.34	0	0	1	0	1	0	0	0
16	Niclas Almari	Hershey Bears (TAM)	D	23	1	9	10	17	46	20	32	35	15	11	15	6.67%	40	547	23.81	1	0	1	1	28	0	0	0	0	48	0	0	0.00%	0	3	21	0	0	0.37	0	0	3	1	0	0	0	1
17	Jani Hakanpaa	Hershey Bears (TAM)	D	41	0	9	9	8	55	25	38	43	31	14	16	0.00%	47	684	16.70	0	0	0	0	7	0	2	2	0	103	0	0	0.00%	0	1	23	0	0	0.26	0	0	1	1	3	0	0	0
18	Dalton Prout	Hershey Bears (TAM)	D	18	1	7	8	-14	175	85	64	29	12	10	11	8.33%	26	390	21.72	1	0	1	2	22	0	1	1	0	27	0	0	0.00%	0	3	22	0	0	0.41	0	0	6	1	10	0	0	0
19	Parker Wotherspoon	Hershey Bears (TAM)	D	41	0	5	5	2	50	30	43	42	39	15	13	0.00%	37	812	19.83	0	1	1	2	52	0	0	0	0	38	0	0	0.00%	0	2	23	0	0	0.12	0	0	2	3	1	0	0	0
Stats d'équipe Total ou en Moyenne				737	197	326	523	63	1045	605	962	928	1545	527	881	12.75%	506	12223	16.59	45	73	118	123	769	3	5	8	23	708	23	9	52.33%	2534	338	343	1	6	0.86	3	10	46	27	48	26	23	19

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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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Joseph Woll	Hershey Bears (TAM)	29	15	9	2	0.881	4.40	1610	2	118	993	623	0	1	0.333	3	29	12	1	1	0
2	Stuart Skinner	Hershey Bears (TAM)	17	9	4	2	0.883	4.65	877	0	68	583	345	1	0	0.625	8	12	29	0	0	1
3	Andrew Hammond	Lightning	2	1	1	0	0.840	5.71	84	0	8	50	27	1	0	0.000	0	2	1	0	0	0
Stats d'équipe Total ou en Moyenne			48	25	14	4	0.881	4.53	2571	2	194	1626	995	2	1	0.545	11	43	42	1	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	Link
Alexander True	Hershey Bears (TAM)	C/RW	23	1997-07-17	No	201 Lbs	6 ft5	No	No	No	1	Pro & Farm	763,333$	0$	0$	No		Lien
Boo Nieves	Hershey Bears (TAM)	C	27	1994-01-23	No	212 Lbs	6 ft3	No	No	No	1	Pro & Farm	700,000$	0$	0$	No		Lien
Brett Murray	Hershey Bears (TAM)	LW	22	1998-07-20	Yes	216 Lbs	6 ft4	No	No	No	1	Pro & Farm	500,001$	0$	0$	No
Colby Cave	Hershey Bears (TAM)	C/LW	26	1994-12-26	No	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,000$	0$	0$	No		Lien
Colby Sissons	Hershey Bears (TAM)	D	23	1998-01-15	No	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	696,666$	0$	0$	No	696,666$	Lien
Cory Conacher	Hershey Bears (TAM)	LW/RW	31	1989-12-14	No	180 Lbs	5 ft8	No	No	No	1	Pro & Farm	850,000$	0$	0$	No		Lien
Dalton Prout	Hershey Bears (TAM)	D	30	1990-03-13	No	230 Lbs	6 ft3	No	No	No	1	Pro & Farm	700,000$	0$	0$	No		Lien
Eric Tangradi	Hershey Bears (TAM)	C/LW/RW	32	1989-02-10	No	221 Lbs	6 ft4	No	No	No	1	Pro & Farm	800,000$	0$	0$	No		Lien
Jani Hakanpaa	Hershey Bears (TAM)	D	28	1992-03-31	No	218 Lbs	6 ft5	No	No	No	1	Pro & Farm	500,000$	0$	0$	No		Lien
Jordy Bellerive	Hershey Bears (TAM)	C	21	1999-05-02	Yes	194 Lbs	5 ft11	No	No	No	1	Pro & Farm	733,335$	0$	0$	No		Lien
Joseph Woll	Hershey Bears (TAM)	G	22	1998-07-12	Yes	200 Lbs	6 ft3	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$
Maksim Sushko	Hershey Bears (TAM)	RW	22	1999-02-10	Yes	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	775,002$	0$	0$	No
Marian Studenic	Hershey Bears (TAM)	RW	22	1998-10-28	No	163 Lbs	6 ft1	No	No	No	1	Pro & Farm	775,833$	0$	0$	No		Lien
Mason Jobst	Hershey Bears (TAM)	C/LW	27	1994-02-17	No	185 Lbs	5 ft8	No	No	No	1	Pro & Farm	792,501$	0$	0$	No		Lien
Matt Donovan	Hershey Bears (TAM)	D	30	1990-05-08	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	675,000$	0$	0$	No		Lien
Nick DeSimone	Hershey Bears (TAM)	D	26	1994-11-21	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	0$	0$	No		Lien
Niclas Almari	Hershey Bears (TAM)	D	22	1998-05-11	Yes	169 Lbs	6 ft1	No	No	No	1	Pro & Farm	809,168$	0$	0$	No
Parker Wotherspoon	Hershey Bears (TAM)	D	23	1997-08-24	No	168 Lbs	6 ft0	No	No	No	1	Pro & Farm	732,222$	0$	0$	No		Lien
Ross Colton	Hershey Bears (TAM)	C/LW	24	1996-09-11	No	209 Lbs	6 ft0	No	No	No	1	Pro & Farm	767,500$	0$	0$	No		Lien
Sean Durzi	Hershey Bears (TAM)	D	22	1998-10-21	Yes	196 Lbs	6 ft0	No	No	No	1	Pro & Farm	809,167$	0$	0$	No
Stuart Skinner	Hershey Bears (TAM)	G	22	1998-11-01	No	203 Lbs	6 ft3	No	No	No	2	Pro & Farm	875,000$	0$	0$	No	875,000$	Lien
Thomas Di Pauli	Hershey Bears (TAM)	C/LW	26	1994-04-29	No	187 Lbs	5 ft11	No	No	No	1	Pro & Farm	500,000$	0$	0$	No		Lien
Travis St. Denis	Hershey Bears (TAM)	C/RW	28	1992-09-17	No	170 Lbs	5 ft7	No	No	No	1	Pro & Farm	700,000$	0$	0$	No		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	25.17	195 Lbs	6 ft1	1.13	724,119$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Ross Colton	Boo Nieves	Cory Conacher	40	0	1	4
2	Colby Cave	Alexander True	Travis St. Denis	30	0	2	3
3	Eric Tangradi	Jordy Bellerive	Maksim Sushko	20	1	2	2
4	Brett Murray	Thomas Di Pauli	Marian Studenic	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Niclas Almari	Nick DeSimone	42	0	2	3
2	Parker Wotherspoon	Matt Donovan	33	0	2	3
3	Sean Durzi	Jani Hakanpaa	25	1	2	2
4	Parker Wotherspoon	Matt Donovan	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Cory Conacher	Eric Tangradi	Marian Studenic	60	0	1	4
2	Colby Cave	Jordy Bellerive	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	2	3
2	Niclas Almari	Parker Wotherspoon	40	0	2	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Colby Cave	Eric Tangradi	60	0	3	2
2	Boo Nieves	Brett Murray	40	0	3	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jani Hakanpaa	Niclas Almari	60	0	4	1
2	Matt Donovan	Nick DeSimone	40	0	4	1

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Colby Cave	60	0	4	1	Niclas Almari	Jani Hakanpaa	60	0	5	0
2	Boo Nieves	40	0	4	1	Matt Donovan	Nick DeSimone	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Eric Tangradi	Cory Conacher	60	1	2	2
2	Colby Cave	Marian Studenic	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nick DeSimone	Matt Donovan	60	1	2	2
2	Niclas Almari	Parker Wotherspoon	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Cory Conacher	Eric Tangradi	Marian Studenic	Nick DeSimone	Matt Donovan

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Colby Cave	Boo Nieves	Eric Tangradi	Niclas Almari	Jani Hakanpaa

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brett Murray, Jordy Bellerive, Maksim Sushko	Brett Murray, Jordy Bellerive	Maksim Sushko

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Sean Durzi, Parker Wotherspoon, Jani Hakanpaa	Sean Durzi	Parker Wotherspoon, Jani Hakanpaa

Tirs de Pénalité
Colby Cave, Eric Tangradi, Cory Conacher, Marian Studenic, Jordy Bellerive

Gardien
#1 : Joseph Woll, #2 : Stuart Skinner

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	Binghampton Senators	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	42	76	74	8	42	472	523	536	29	24	11	14	35	4	1	25.00%	2	1	50.00%	0	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
2	Boisbriand Armada	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	9	15	0	0	42	76	74	8	34	472	523	536	29	31	14	26	20	2	0	0.00%	3	1	66.67%	0	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
3	Bridgeport Sound Tigers	3	1	1	0	0	0	0	1	15	12	3	1	0	1	0	0	0	0	0	3	4	-1	2	1	0	0	0	0	0	1	12	8	4	3	0.500	15	28	43	0	0	42	76	74	8	128	472	523	536	29	114	36	107	76	7	2	28.57%	11	4	63.64%	0	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
4	Calgary Hitman	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	6	11	0	0	42	76	74	8	37	472	523	536	29	43	17	4	21	3	0	0.00%	2	0	100.00%	0	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
5	Chicago Wolves	4	1	1	0	1	1	0	0	17	22	-5	2	0	0	0	1	1	0	0	10	10	0	2	1	1	0	0	0	0	0	7	12	-5	5	0.625	17	26	43	0	0	42	76	74	8	156	472	523	536	29	147	43	71	113	8	2	25.00%	8	3	62.50%	1	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
6	Chicoutimi Sagueneens	1	0	0	0	1	0	0	0	8	7	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	8	7	1	2	1.000	8	14	22	0	0	42	76	74	8	45	472	523	536	29	40	16	8	23	7	3	42.86%	4	1	75.00%	0	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
7	Drummondville Voltigeurs	1	1	0	0	0	0	0	0	8	6	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	8	6	2	2	1.000	8	11	19	0	0	42	76	74	8	49	472	523	536	29	37	18	19	16	2	2	100.00%	2	1	50.00%	0	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
8	Hartford Wolf Pack	6	2	3	0	0	0	1	0	24	30	-6	3	1	2	0	0	0	0	0	11	18	-7	3	1	1	0	0	0	1	0	13	12	1	6	0.500	24	41	65	0	0	42	76	74	8	204	472	523	536	29	255	87	193	129	20	9	45.00%	19	8	57.89%	0	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
9	Lowell Devils	1	0	1	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	4	7	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	6	10	0	0	42	76	74	8	42	472	523	536	29	47	11	65	21	3	1	33.33%	5	2	60.00%	1	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
10	Manitoba Moose	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	10	16	0	0	42	76	74	8	75	472	523	536	29	76	20	60	56	4	1	25.00%	5	1	80.00%	0	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
11	Peoria Riverman	3	2	1	0	0	0	0	0	16	11	5	2	1	1	0	0	0	0	0	12	9	3	1	1	0	0	0	0	0	0	4	2	2	4	0.667	16	28	44	0	0	42	76	74	8	109	472	523	536	29	97	26	86	63	12	4	33.33%	13	4	69.23%	0	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
12	Philadelphia Phantoms	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	4	7	0	0	42	76	74	8	37	472	523	536	29	33	16	16	27	4	1	25.00%	3	1	66.67%	0	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
13	Quebec Rempart	4	1	1	0	0	1	0	1	13	19	-6	3	1	0	0	0	1	0	1	12	13	-1	1	0	1	0	0	0	0	0	1	6	-5	4	0.500	13	21	34	0	0	42	76	74	8	140	472	523	536	29	155	48	104	96	14	3	21.43%	12	6	50.00%	0	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
14	Rimouski Oceanic	3	1	1	0	1	0	0	0	13	11	2	2	1	0	0	1	0	0	0	11	8	3	1	0	1	0	0	0	0	0	2	3	-1	4	0.667	13	20	33	0	0	42	76	74	8	114	472	523	536	29	97	29	72	64	6	2	33.33%	11	3	72.73%	0	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
15	Rochester Americans	1	1	0	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	9	7	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	9	18	27	0	0	42	76	74	8	35	472	523	536	29	38	9	6	22	3	3	100.00%	3	3	0.00%	0	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
16	Seattle Thunderbirds	1	0	0	0	1	0	0	0	9	8	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	9	8	1	2	1.000	9	16	25	0	0	42	76	74	8	46	472	523	536	29	44	13	9	23	1	0	0.00%	2	2	0.00%	0	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
17	Sherbrooke Phoenix	1	0	1	0	0	0	0	0	5	7	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	5	7	-2	0	0.000	5	8	13	1	0	42	76	74	8	38	472	523	536	29	40	18	37	27	1	1	100.00%	6	4	33.33%	0	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
18	Victoriaville Tigres	1	0	0	0	1	0	0	0	9	8	1	1	0	0	0	1	0	0	0	9	8	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	9	15	24	0	0	42	76	74	8	42	472	523	536	29	61	16	13	16	2	1	50.00%	4	1	75.00%	0	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
19	Worcester Sharks	5	4	1	0	0	0	0	0	25	16	9	3	2	1	0	0	0	0	0	12	8	4	2	2	0	0	0	0	0	0	13	8	5	8	0.800	25	40	65	0	0	42	76	74	8	177	472	523	536	29	198	58	142	116	14	9	64.29%	11	3	72.73%	1	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
	Total	41	18	13	0	5	2	1	2	198	189	9	21	9	6	0	3	2	0	1	103	98	5	20	9	7	0	2	0	1	1	95	91	4	52	0.634	198	327	525	1	0	42	76	74	8	1550	472	523	536	29	1577	506	1052	964	117	45	38.46%	126	49	61.11%	3	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
	_Since Last GM Reset	41	18	13	0	5	2	1	2	198	189	9	21	9	6	0	3	2	0	1	103	98	5	20	9	7	0	2	0	1	1	95	91	4	52	0.634	198	327	525	1	0	42	76	74	8	1550	472	523	536	29	1577	506	1052	964	117	45	38.46%	126	49	61.11%	3	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
	_Vs Conference	33	13	11	0	4	2	1	2	149	147	2	17	7	5	0	2	2	0	1	75	73	2	16	6	6	0	2	0	1	1	74	74	0	40	0.606	149	248	397	0	0	42	76	74	8	1231	472	523	536	29	1256	392	868	786	97	36	37.11%	99	36	63.64%	2	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382
	_Vs Division	10	9	7	0	1	1	1	1	48	48	0	6	6	3	0	1	1	0	1	30	27	3	4	3	4	0	0	0	1	0	18	21	-3	24	1.200	48	84	132	1	0	42	76	74	8	375	472	523	536	29	378	125	280	241	27	9	33.33%	35	18	48.57%	0	477	896	53.24%	427	853	50.06%	426	792	53.79%	855	469	869	387	767	382

			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
41	52	OTW1	198	327	525	1550	1577	506	1052	964	1	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	13	5	2	1	2	198	189

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
21	9	6	3	2	0	1	103	98

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	9	7	2	0	1	1	95	91

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	3	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
117	45	38.46%	126	49	61.11%	3

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
472	523	536	29	42	76	74	8

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
477	896	53.24%	427	853	50.06%	426	792	53.79%

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
855	469	869	387	767	382

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	Lien
2 - 2020-11-11	12	Worcester Sharks	2	Hershey Bears	3	W			Sommaire du Match
3 - 2020-11-12	30	Hershey Bears	5	Bridgeport Sound Tigers	6	L	X	X	Sommaire du Match
4 - 2020-11-13	41	Hershey Bears	2	Manitoba Moose	3	L			Sommaire du Match
6 - 2020-11-15	56	Hershey Bears	6	Worcester Sharks	5	W			Sommaire du Match
8 - 2020-11-17	67	Manitoba Moose	3	Hershey Bears	4	W			Sommaire du Match
10 - 2020-11-19	88	Peoria Riverman	5	Hershey Bears	9	W			Sommaire du Match
12 - 2020-11-21	101	Quebec Rempart	5	Hershey Bears	4	L	X		Sommaire du Match
14 - 2020-11-23	123	Hershey Bears	1	Quebec Rempart	6	L			Sommaire du Match
15 - 2020-11-24	134	Rimouski Oceanic	3	Hershey Bears	4	W	X		Sommaire du Match
16 - 2020-11-25	145	Hershey Bears	2	Hartford Wolf Pack	5	L			Sommaire du Match
18 - 2020-11-27	163	Quebec Rempart	6	Hershey Bears	5	L	X	X	Sommaire du Match
19 - 2020-11-28	177	Hershey Bears	5	Hartford Wolf Pack	4	W	X	X	Sommaire du Match
21 - 2020-11-30	186	Hershey Bears	2	Rimouski Oceanic	3	L			Sommaire du Match
23 - 2020-12-02	207	Hartford Wolf Pack	7	Hershey Bears	3	L			Sommaire du Match
25 - 2020-12-04	224	Hershey Bears	7	Worcester Sharks	3	W			Sommaire du Match
27 - 2020-12-06	241	Chicago Wolves	4	Hershey Bears	5	W	X		Sommaire du Match
29 - 2020-12-08	258	Hershey Bears	2	Chicago Wolves	9	L			Sommaire du Match
30 - 2020-12-09	269	Chicago Wolves	6	Hershey Bears	5	L	X		Sommaire du Match
32 - 2020-12-11	286	Worcester Sharks	2	Hershey Bears	6	W			Sommaire du Match
34 - 2020-12-13	304	Hershey Bears	3	Binghampton Senators	2	W			Sommaire du Match
35 - 2020-12-14	316	Hershey Bears	5	Calgary Hitman	2	W			Sommaire du Match
37 - 2020-12-16	333	Quebec Rempart	2	Hershey Bears	3	W			Sommaire du Match
39 - 2020-12-18	350	Lowell Devils	7	Hershey Bears	4	L			Sommaire du Match
41 - 2020-12-20	367	Hershey Bears	5	Sherbrooke Phoenix	7	L			Sommaire du Match
42 - 2020-12-21	378	Boisbriand Armada	3	Hershey Bears	6	W			Sommaire du Match
45 - 2020-12-24	401	Hershey Bears	3	Philadelphia Phantoms	5	L			Sommaire du Match
46 - 2020-12-25	411	Rimouski Oceanic	5	Hershey Bears	7	W			Sommaire du Match
48 - 2020-12-27	429	Hershey Bears	9	Seattle Thunderbirds	8	W	X		Sommaire du Match
50 - 2020-12-29	445	Bridgeport Sound Tigers	4	Hershey Bears	3	L			Sommaire du Match
52 - 2020-12-31	464	Hershey Bears	8	Drummondville Voltigeurs	6	W			Sommaire du Match
53 - 2021-01-01	472	Hershey Bears	6	Hartford Wolf Pack	3	W			Sommaire du Match
55 - 2021-01-03	488	Rochester Americans	7	Hershey Bears	9	W			Sommaire du Match
57 - 2021-01-05	504	Hershey Bears	5	Chicago Wolves	3	W			Sommaire du Match
58 - 2021-01-06	517	Hartford Wolf Pack	7	Hershey Bears	1	L			Sommaire du Match
60 - 2021-01-08	535	Peoria Riverman	4	Hershey Bears	3	L			Sommaire du Match
62 - 2021-01-10	549	Hershey Bears	4	Peoria Riverman	2	W			Sommaire du Match
64 - 2021-01-12	566	Hershey Bears	7	Bridgeport Sound Tigers	2	W			Sommaire du Match
65 - 2021-01-13	577	Worcester Sharks	4	Hershey Bears	3	L			Sommaire du Match
66 - 2021-01-14	591	Hershey Bears	8	Chicoutimi Sagueneens	7	W	X		Sommaire du Match
68 - 2021-01-16	607	Hartford Wolf Pack	4	Hershey Bears	7	W			Sommaire du Match
70 - 2021-01-18	630	Victoriaville Tigres	8	Hershey Bears	9	W	X		Sommaire du Match
72 - 2021-01-20	642	Hershey Bears	-	Lake Erie Monsters	-
74 - 2021-01-22	661	Seattle Thunderbirds	-	Hershey Bears	-
76 - 2021-01-24	678	Hershey Bears	-	Laval Rockets	-
77 - 2021-01-25	689	Philadelphia Phantoms	-	Hershey Bears	-
79 - 2021-01-27	707	Hershey Bears	-	Seattle Thunderbirds	-
80 - 2021-01-28	721	Rimouski Oceanic	-	Hershey Bears	-
82 - 2021-01-30	736	Hershey Bears	-	Toronto Marlies	-
83 - 2021-01-31	753	Seattle Thunderbirds	-	Hershey Bears	-
84 - 2021-02-01	761	Hershey Bears	-	Laval Rockets	-
87 - 2021-02-04	783	Hershey Bears	-	Rimouski Oceanic	-
88 - 2021-02-05	796	Grand Rapids Griffins	-	Hershey Bears	-
90 - 2021-02-07	815	Manchester Monarchs	-	Hershey Bears	-
92 - 2021-02-09	827	Hershey Bears	-	Portland Pirates	-
93 - 2021-02-10	846	Hershey Bears	-	Worcester Sharks	-
95 - 2021-02-12	856	Philadelphia Phantoms	-	Hershey Bears	-
97 - 2021-02-14	876	London Knights	-	Hershey Bears	-
100 - 2021-02-17	902	Lake Erie Monsters	-	Hershey Bears	-
101 - 2021-02-18	908	Hershey Bears	-	Rimouski Oceanic	-
103 - 2021-02-20	926	Hershey Bears	-	Texas Stars	-
104 - 2021-02-21	935	Hershey Bears	-	Las Vegas Wranglers	-
105 - 2021-02-22	940	Hershey Bears	-	Portland Pirates	-
107 - 2021-02-24	957	Manitoba Moose	-	Hershey Bears	-
109 - 2021-02-26	978	Hershey Bears	-	Manitoba Moose	-
110 - 2021-02-27	990	Portland Pirates	-	Hershey Bears	-
113 - 2021-03-02	1011	Hershey Bears	-	Grand Rapids Griffins	-
114 - 2021-03-03	1021	Texas Stars	-	Hershey Bears	-
115 - 2021-03-04	1038	Hershey Bears	-	Quebec Rempart	-
117 - 2021-03-06	1052	Portland Pirates	-	Hershey Bears	-
119 - 2021-03-08	1073	Rochester Americans	-	Hershey Bears	-
121 - 2021-03-10	1089	Hershey Bears	-	Manitoba Moose	-
122 - 2021-03-11	1102	Laval Rockets	-	Hershey Bears	-
123 - 2021-03-12	1107	Hershey Bears	-	Toronto Marlies	-
126 - 2021-03-15	1135	Manitoba Moose	-	Hershey Bears	-
127 - 2021-03-16	1141	Hershey Bears	-	Quebec Rempart	-
129 - 2021-03-18	1165	Chicoutimi Sagueneens	-	Hershey Bears	-
131 - 2021-03-20	1182	Hershey Bears	-	Milwaukee Admirals	-
132 - 2021-03-21	1190	Hershey Bears	-	Texas Stars	-
134 - 2021-03-23	1200	Hershey Bears	-	Grand Rapids Griffins	-
135 - 2021-03-24	1210	Chicoutimi Sagueneens	-	Hershey Bears	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2021-03-28	1236	Brampton Battalion	-	Hershey Bears	-
143 - 2021-04-01	1264	Brampton Battalion	-	Hershey Bears	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	35	15
Assistance	32,006	16,180
Assistance PCT	76.20%	77.05%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
20	2295 - 76.49%	96,702$	2,030,735$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,068,961$	1,665,472$	1,595,472$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	1,068,961$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
1,934,033$	75	15,279$	1,145,925$

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

	Hershey Bears
	GP: 41 \| W: 24 \| L: 13 \| OTL: 4 \| P: 52 GF: 198 \| GA: 189 \| PP%: 38.46% \| PK%: 61.11% DG: Claude Melançon \| Morale : 58 \| Moyenne d'Équipe : 58 Prochain matchs #642 vs Lake Erie Monsters