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
1	Colby Cave	X	X			100.00	79	44	90	72	74	62	89	64	78	59	57	74	75	59	59	65	79	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	60	63	0
3	Boo Nieves	X				100.00	71	44	93	76	79	56	81	57	59	62	59	74	25	58	58	65	78	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	78	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	74	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	61	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	81	57	0
11	Brett Pollock		X	X		100.00	78	74	87	68	74	49	50	51	50	48	46	65	44	54	54	54	80	55	0
12	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
13	Nick DeSimone				X	100.00	76	72	85	65	72	74	78	61	25	54	53	64	50	44	44	61	80	61	0
14	Igor Ozhiganov (R)				X	100.00	76	44	91	66	76	64	65	61	25	48	48	64	25	49	49	59	74	60	0
15	Matt Donovan (R)				X	100.00	74	75	70	67	75	71	75	57	25	47	52	62	49	44	44	59	81	60	0
16	Riley Stillman (R)				X	100.00	72	71	75	69	71	72	78	48	25	40	41	59	39	44	44	53	81	58	0
17	Colby Sissons (R)				X	100.00	74	70	83	65	70	67	72	49	25	42	41	60	39	44	44	53	81	57	0
18	Parker Wotherspoon				X	100.00	67	62	77	62	62	68	73	51	25	45	42	57	40	44	44	53	17	55	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	74	64	82	67	71	67	72	58	51	53	54	65	46	49	49	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	79	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	59	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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Brett Howden	Hershey Bears (TAM)	C	79	48	92	140	11	13	5	115	167	338	88	236	14.20%	52	1581	20.02	15	28	43	47	183	0	0	0	2	22	5	2	57.47%	2410	73	31	0	2	1.77	0	0	0	0	1	10	5	7
2	Cory Conacher	Hershey Bears (TAM)	LW/RW	82	55	80	135	17	209	85	134	84	356	147	196	15.45%	36	1541	18.80	15	28	43	40	177	0	0	0	0	22	5	2	37.59%	133	82	26	0	4	1.75	5	9	5	4	8	6	9	3
3	Teddy Blueger	Hershey Bears (TAM)	C/LW/RW	82	57	52	109	24	150	90	159	120	274	71	152	20.80%	57	1709	20.85	17	10	27	36	175	2	1	3	4	148	7	3	45.39%	152	78	45	0	3	1.28	0	0	8	5	5	5	10	4
4	Colby Cave	Hershey Bears (TAM)	C/LW	82	40	39	79	19	12	0	112	123	267	79	170	14.98%	46	1477	18.02	3	5	8	7	37	0	0	0	7	202	5	1	58.91%	331	63	37	1	2	1.07	3	11	0	0	0	3	4	7
5	Brendan Gaunce	Hershey Bears (TAM)	C/LW	79	36	38	74	10	113	75	145	124	240	76	149	15.00%	41	1341	16.98	6	7	13	16	134	1	0	1	5	120	3	0	56.18%	712	60	32	0	2	1.10	3	10	5	6	4	4	5	3
6	Nicolas Roy	Hershey Bears (TAM)	C	82	35	39	74	8	65	45	121	86	229	80	146	15.28%	24	1094	13.35	2	4	6	5	29	0	0	0	0	32	4	4	52.37%	443	39	29	0	0	1.35	1	4	2	4	3	3	3	2
7	Ross Colton	Hershey Bears (TAM)	C/LW	82	29	30	59	21	24	10	93	70	158	49	90	18.35%	27	1039	12.67	2	5	7	9	113	0	0	0	1	67	4	0	49.08%	163	27	22	0	0	1.14	0	0	1	0	1	1	3	3
8	Travis St. Denis	Hershey Bears (TAM)	C/RW	82	26	31	57	11	98	30	142	69	163	47	110	15.95%	35	1229	15.00	6	8	14	13	141	0	0	0	0	0	5	1	56.60%	53	35	12	0	0	0.93	0	2	1	1	4	2	1	4
9	Nick DeSimone	Hershey Bears (TAM)	D	82	3	45	48	11	116	80	110	141	105	77	67	2.86%	146	2143	26.14	1	7	8	15	205	0	1	1	2	210	0	0	0.00%	0	31	73	0	0	0.45	0	0	6	5	5	1	1	1
10	Marian Studenic	Hershey Bears (TAM)	RW	82	19	25	44	26	20	20	88	74	132	53	90	14.39%	19	992	12.10	1	0	1	1	9	0	1	1	2	85	2	1	52.38%	42	27	18	0	0	0.89	0	0	1	1	2	1	1	4
11	Boo Nieves	Hershey Bears (TAM)	C	82	28	15	43	6	27	5	61	92	213	70	115	13.15%	32	969	11.82	2	1	3	4	18	0	1	1	8	59	1	2	50.54%	459	60	23	0	0	0.89	0	0	0	1	0	3	2	2
12	Igor Ozhiganov	Hershey Bears (TAM)	D	78	4	37	41	23	34	20	79	99	84	41	47	4.76%	101	1615	20.71	1	2	3	5	139	1	0	1	2	155	0	0	0.00%	0	15	51	0	0	0.51	0	0	1	1	2	1	0	2
13	Matt Donovan	Hershey Bears (TAM)	D	82	2	34	36	27	121	55	96	81	95	52	49	2.11%	97	1725	21.04	2	5	7	11	190	0	0	0	0	137	0	0	0.00%	0	28	62	0	0	0.42	0	0	2	4	5	0	0	0
14	Dalton Prout	Lightning	D	82	3	29	32	1	43	25	121	138	112	52	58	2.68%	125	1985	24.22	0	2	2	3	105	0	0	0	2	177	0	0	0.00%	0	29	85	0	0	0.32	0	1	2	1	2	0	2	0
15	Riley Stillman	Hershey Bears (TAM)	D	82	3	22	25	26	86	40	84	58	63	23	31	4.76%	74	1217	14.85	0	1	1	1	15	0	0	0	0	30	0	1	0.00%	0	9	29	0	0	0.41	0	0	4	1	3	0	0	1
16	Colby Sissons	Hershey Bears (TAM)	D	82	2	15	17	26	45	35	65	56	43	22	17	4.65%	56	1207	14.73	0	0	0	3	27	0	0	0	0	50	0	0	0.00%	0	7	39	0	0	0.28	0	0	1	2	4	0	0	1
17	Brett Pollock	Hershey Bears (TAM)	LW/RW	82	5	11	16	4	47	25	64	50	90	26	65	5.56%	20	746	9.10	0	0	0	0	0	0	0	0	0	0	0	0	43.75%	16	22	9	0	0	0.43	0	0	2	0	3	0	1	1
18	Matheson Iacopelli	Hershey Bears (TAM)	LW/RW	82	3	8	11	9	30	10	83	40	51	19	40	5.88%	14	695	8.48	0	0	0	0	0	0	0	0	0	0	1	0	45.45%	11	11	7	0	0	0.32	0	0	2	0	0	0	0	0
19	Parker Wotherspoon	Hershey Bears (TAM)	D	4	0	0	0	2	0	0	6	4	1	0	0	0.00%	2	62	15.50	0	0	0	0	1	0	0	0	0	0	0	0	0.00%	0	0	2	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1470	398	642	1040	282	1253	655	1878	1676	3014	1072	1828	13.21%	1004	24374	16.58	73	113	186	216	1706	4	4	8	35	1524	42	17	54.96%	4925	696	632	1	13	0.85	12	37	43	36	52	40	47	45

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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	Devin Williams	Hershey Bears (TAM)	59	35	16	5	0.903	3.42	3458	0	1	197	2031	1098	2	1	0.636	22	58	16	4	5	3
2	Mike McKenna	Hershey Bears (TAM)	26	13	7	3	0.872	5.18	1355	2	0	117	911	562	3	0	0.700	10	22	62	1	0	0
3	Etienne Marcoux	Hershey Bears (TAM)	3	0	2	1	0.870	4.64	168	0	0	13	100	59	0	0	0.500	2	2	4	0	0	0
Stats d'équipe Total ou en Moyenne			88	48	25	9	0.893	3.94	4981	2	1	327	3042	1719	5	1	0.647	34	82	82	5	5	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 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	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
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
21	23.38	191 Lbs	6 ft1	1.48	737,794$

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	Brett Pollock	10	0	2	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Parker Wotherspoon	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	Parker Wotherspoon	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	Parker Wotherspoon	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	Parker Wotherspoon	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	Parker Wotherspoon	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	Parker Wotherspoon	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	Parker Wotherspoon, 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	Binghampton Senators	3	3	0	0	0	0	0	0	12	4	8	1	1	0	0	0	0	0	0	5	1	4	2	2	0	0	0	0	0	0	7	3	4	6	1.000	12	19	31	0	0	110	160	124	16	107	981	1061	946	64	107	33	24	71	5	1	20.00%	7	2	71.43%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
2	Boisbriand Armada	4	1	1	0	0	2	0	0	19	19	0	3	1	1	0	0	1	0	0	13	12	1	1	0	0	0	0	1	0	0	6	7	-1	4	0.500	19	30	49	0	0	110	160	124	16	138	981	1061	946	64	139	48	81	101	13	2	15.38%	13	1	92.31%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
3	Brampton Battalion	2	1	0	0	1	0	0	0	13	11	2	1	1	0	0	0	0	0	0	6	5	1	1	0	0	0	1	0	0	0	7	6	1	4	1.000	13	23	36	0	0	110	160	124	16	74	981	1061	946	64	83	23	44	45	5	3	60.00%	7	4	42.86%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
4	Bridgeport Sound Tigers	3	2	0	0	1	0	0	0	21	8	13	2	1	0	0	1	0	0	0	14	6	8	1	1	0	0	0	0	0	0	7	2	5	6	1.000	21	34	55	0	0	110	160	124	16	108	981	1061	946	64	106	32	77	79	8	3	37.50%	11	0	100.00%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
5	Calgary Hitman	2	0	2	0	0	0	0	0	6	10	-4	1	0	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	6	10	16	0	0	110	160	124	16	83	981	1061	946	64	81	19	26	53	7	3	42.86%	3	1	66.67%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
6	Chicago Wolves	3	1	2	0	0	0	0	0	11	15	-4	2	1	1	0	0	0	0	0	8	9	-1	1	0	1	0	0	0	0	0	3	6	-3	2	0.333	11	16	27	1	0	110	160	124	16	102	981	1061	946	64	116	33	14	63	6	3	50.00%	7	1	85.71%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
7	Chicoutimi Sagueneens	3	1	1	0	0	0	1	0	13	15	-2	1	0	0	0	0	0	1	0	5	4	1	2	1	1	0	0	0	0	0	8	11	-3	4	0.667	13	17	30	0	0	110	160	124	16	118	981	1061	946	64	110	44	41	74	10	4	40.00%	8	3	62.50%	1	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
8	Drummondville Voltigeurs	2	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	5	8	13	0	0	110	160	124	16	74	981	1061	946	64	67	19	29	44	8	0	0.00%	2	1	50.00%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
9	Grand Rapids Griffins	3	1	0	0	1	0	1	0	25	17	8	1	0	0	0	1	0	0	0	6	5	1	2	1	0	0	0	0	1	0	19	12	7	6	1.000	25	36	61	0	0	110	160	124	16	127	981	1061	946	64	145	46	27	46	9	4	44.44%	6	0	100.00%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
10	Hartford Wolf Pack	4	2	1	0	0	0	0	1	20	20	0	2	1	1	0	0	0	0	0	10	11	-1	2	1	0	0	0	0	0	1	10	9	1	5	0.625	20	32	52	0	0	110	160	124	16	144	981	1061	946	64	152	55	37	92	9	4	44.44%	16	2	87.50%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
11	Lake Erie Monsters	3	2	1	0	0	0	0	0	15	11	4	1	1	0	0	0	0	0	0	5	1	4	2	1	1	0	0	0	0	0	10	10	0	4	0.667	15	23	38	0	0	110	160	124	16	128	981	1061	946	64	108	39	99	72	12	7	58.33%	12	5	58.33%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
12	Las Vegas Wranglers	2	2	0	0	0	0	0	0	15	6	9	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	9	2	7	4	1.000	15	25	40	0	0	110	160	124	16	83	981	1061	946	64	97	30	47	46	2	2	100.00%	6	0	100.00%	1	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
13	Laval Rockets	3	1	1	0	0	0	1	0	15	8	7	1	1	0	0	0	0	0	0	10	2	8	2	0	1	0	0	0	1	0	5	6	-1	4	0.667	15	22	37	0	0	110	160	124	16	114	981	1061	946	64	138	30	47	55	5	1	20.00%	11	1	90.91%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
14	London Knights	2	2	0	0	0	0	0	0	13	5	8	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	7	3	4	4	1.000	13	23	36	0	0	110	160	124	16	77	981	1061	946	64	86	17	38	58	9	3	33.33%	4	2	50.00%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
15	Lowell Devils	2	2	0	0	0	0	0	0	11	5	6	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	6	2	4	4	1.000	11	16	27	0	0	110	160	124	16	76	981	1061	946	64	66	19	6	31	6	2	33.33%	3	1	66.67%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
16	Manitoba Moose	4	1	2	0	0	0	1	0	15	18	-3	2	0	1	0	0	0	1	0	10	10	0	2	1	1	0	0	0	0	0	5	8	-3	4	0.500	15	22	37	0	0	110	160	124	16	151	981	1061	946	64	144	48	62	81	14	3	21.43%	16	5	68.75%	1	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
17	Milwaukee Admirals	2	0	2	0	0	0	0	0	9	16	-7	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	6	9	-3	0	0.000	9	14	23	0	0	110	160	124	16	63	981	1061	946	64	105	44	37	36	5	1	20.00%	6	3	50.00%	1	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
18	Peoria Riverman	3	2	1	0	0	0	0	0	23	15	8	2	1	1	0	0	0	0	0	15	9	6	1	1	0	0	0	0	0	0	8	6	2	4	0.667	23	40	63	0	0	110	160	124	16	120	981	1061	946	64	113	42	30	74	10	3	30.00%	5	2	60.00%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
19	Philadelphia Phantoms	4	1	2	0	0	0	0	1	13	19	-6	1	0	1	0	0	0	0	0	2	4	-2	3	1	1	0	0	0	0	1	11	15	-4	3	0.375	13	21	34	0	0	110	160	124	16	122	981	1061	946	64	164	49	73	74	9	1	11.11%	15	5	66.67%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
20	Portland Pirates	3	1	2	0	0	0	0	0	15	15	0	1	0	1	0	0	0	0	0	4	6	-2	2	1	1	0	0	0	0	0	11	9	2	2	0.333	15	25	40	0	0	110	160	124	16	121	981	1061	946	64	102	33	37	60	11	4	36.36%	6	3	50.00%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
21	Quebec Rempart	2	1	0	0	0	1	0	0	9	6	3	1	1	0	0	0	0	0	0	5	1	4	1	0	0	0	0	1	0	0	4	5	-1	3	0.750	9	14	23	0	0	110	160	124	16	85	981	1061	946	64	69	27	43	49	7	1	14.29%	4	0	100.00%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
22	Rimouski Oceanic	4	3	1	0	0	0	0	0	27	13	14	2	2	0	0	0	0	0	0	18	8	10	2	1	1	0	0	0	0	0	9	5	4	6	0.750	27	45	72	0	0	110	160	124	16	153	981	1061	946	64	114	45	58	111	9	2	22.22%	9	2	77.78%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
23	Rochester Americans	2	1	1	0	0	0	0	0	8	8	0	1	0	1	0	0	0	0	0	3	6	-3	1	1	0	0	0	0	0	0	5	2	3	2	0.500	8	13	21	0	0	110	160	124	16	76	981	1061	946	64	76	33	59	39	3	1	33.33%	12	2	83.33%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
24	Seattle Thunderbirds	4	2	0	0	1	0	1	0	21	14	7	3	1	0	0	1	0	1	0	16	12	4	1	1	0	0	0	0	0	0	5	2	3	8	1.000	21	31	52	0	0	110	160	124	16	133	981	1061	946	64	113	31	46	85	14	4	28.57%	13	4	69.23%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
25	Sherbrooke Phoenix	2	0	0	0	0	1	0	1	7	9	-2	1	0	0	0	0	1	0	0	4	5	-1	1	0	0	0	0	0	0	1	3	4	-1	2	0.500	7	9	16	0	0	110	160	124	16	64	981	1061	946	64	85	26	31	52	10	4	40.00%	7	3	57.14%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
26	Texas Stars	3	1	1	0	0	0	1	0	9	7	2	2	1	1	0	0	0	0	0	7	6	1	1	0	0	0	0	0	1	0	2	1	1	4	0.667	9	16	25	0	0	110	160	124	16	96	981	1061	946	64	95	39	30	73	11	2	18.18%	10	3	70.00%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
27	Toronto Marlies	2	1	0	0	0	0	0	1	4	4	0	1	1	0	0	0	0	0	0	1	0	1	1	0	0	0	0	0	0	1	3	4	-1	3	0.750	4	7	11	0	1	110	160	124	16	65	981	1061	946	64	45	18	53	63	2	0	0.00%	4	1	75.00%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
	Total	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	105	0.640	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
29	Victoriaville Tigres	2	1	1	0	0	0	0	0	14	11	3	1	1	0	0	0	0	0	0	10	5	5	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	14	24	38	0	0	110	160	124	16	72	981	1061	946	64	86	39	27	52	4	2	50.00%	6	3	50.00%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
30	Worcester Sharks	4	2	1	0	0	0	0	1	16	14	2	2	1	0	0	0	0	0	1	10	9	1	2	1	1	0	0	0	0	0	6	5	1	5	0.625	16	28	44	0	0	110	160	124	16	142	981	1061	946	64	131	43	32	99	9	3	33.33%	16	1	93.75%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
	_Since Last GM Reset	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	105	0.640	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
	_Vs Conference	48	21	15	0	3	0	6	3	244	198	46	24	10	7	0	3	0	3	1	135	101	34	24	11	8	0	0	0	3	2	109	97	12	63	0.656	244	385	629	1	0	110	160	124	16	1751	981	1061	946	64	1743	570	611	1066	134	41	30.60%	149	32	78.52%	2	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778
	_Vs Division	22	8	5	0	0	0	1	2	127	91	36	11	4	2	0	0	0	1	1	69	47	22	11	4	3	0	0	0	0	1	58	44	14	20	0.455	127	201	328	0	0	110	160	124	16	819	981	1061	946	64	870	274	281	497	60	22	36.67%	72	9	87.50%	0	877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%	1759	974	1676	765	1548	778

			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
82	105	W2	404	643	1047	3016	3043	1004	1255	1878	1	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	38	25	4	4	6	5	404	333

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	20	12	3	2	3	1	214	166

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	13	1	2	3	4	190	167

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	3	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
232	73	31.47%	245	61	75.10%	4

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
981	1061	946	64	110	160	124	16

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
877	1665	52.67%	1023	1819	56.24%	823	1511	54.47%

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
1759	974	1676	765	1548	778

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
1 - 2019-10-04	3	Hershey Bears	1	Philadelphia Phantoms	6	L			Sommaire du Match
3 - 2019-10-06	21	Seattle Thunderbirds	5	Hershey Bears	6	W	X		Sommaire du Match
4 - 2019-10-07	36	Boisbriand Armada	5	Hershey Bears	3	L			Sommaire du Match
6 - 2019-10-09	47	Hershey Bears	4	Portland Pirates	6	L			Sommaire du Match
8 - 2019-10-11	68	Texas Stars	4	Hershey Bears	3	L			Sommaire du Match
9 - 2019-10-12	84	Hershey Bears	6	Philadelphia Phantoms	7	L	X	X	Sommaire du Match
11 - 2019-10-14	98	Worcester Sharks	4	Hershey Bears	6	W			Sommaire du Match
13 - 2019-10-16	112	Hershey Bears	3	Lake Erie Monsters	7	L			Sommaire du Match
14 - 2019-10-17	122	Hershey Bears	3	Laval Rockets	2	W	X	X	Sommaire du Match
15 - 2019-10-18	140	Seattle Thunderbirds	5	Hershey Bears	6	W	X	X	Sommaire du Match
17 - 2019-10-20	156	Hershey Bears	3	Rimouski Oceanic	4	L			Sommaire du Match
18 - 2019-10-21	167	Bridgeport Sound Tigers	3	Hershey Bears	10	W			Sommaire du Match
20 - 2019-10-23	181	Hershey Bears	6	Chicoutimi Sagueneens	4	W			Sommaire du Match
22 - 2019-10-25	195	Hershey Bears	8	Grand Rapids Griffins	7	W	X	X	Sommaire du Match
23 - 2019-10-26	207	Peoria Riverman	6	Hershey Bears	5	L			Sommaire du Match
25 - 2019-10-28	230	Brampton Battalion	5	Hershey Bears	6	W			Sommaire du Match
27 - 2019-10-30	245	Hershey Bears	4	Manitoba Moose	3	W			Sommaire du Match
29 - 2019-11-01	259	Hershey Bears	4	Victoriaville Tigres	6	L			Sommaire du Match
30 - 2019-11-02	269	Rochester Americans	6	Hershey Bears	3	L			Sommaire du Match
31 - 2019-11-03	285	Hershey Bears	3	Drummondville Voltigeurs	4	L			Sommaire du Match
33 - 2019-11-05	296	Binghampton Senators	1	Hershey Bears	5	W			Sommaire du Match
35 - 2019-11-07	319	Drummondville Voltigeurs	6	Hershey Bears	2	L			Sommaire du Match
37 - 2019-11-09	338	Grand Rapids Griffins	5	Hershey Bears	6	W	X		Sommaire du Match
38 - 2019-11-10	352	Hershey Bears	3	Sherbrooke Phoenix	4	L	X	X	Sommaire du Match
40 - 2019-11-12	368	Hershey Bears	3	Chicago Wolves	6	L			Sommaire du Match
41 - 2019-11-13	379	London Knights	2	Hershey Bears	6	W			Sommaire du Match
43 - 2019-11-15	395	Hershey Bears	6	Boisbriand Armada	7	L	X		Sommaire du Match
44 - 2019-11-16	408	Bridgeport Sound Tigers	3	Hershey Bears	4	W	X		Sommaire du Match
46 - 2019-11-18	428	Hershey Bears	7	Portland Pirates	3	W			Sommaire du Match
47 - 2019-11-19	438	Hershey Bears	3	Toronto Marlies	4	L	X	X	Sommaire du Match
48 - 2019-11-20	448	Rimouski Oceanic	6	Hershey Bears	10	W			Sommaire du Match
50 - 2019-11-22	467	Hershey Bears	7	Lake Erie Monsters	3	W			Sommaire du Match
51 - 2019-11-23	479	Rimouski Oceanic	2	Hershey Bears	8	W			Sommaire du Match
54 - 2019-11-26	502	Boisbriand Armada	6	Hershey Bears	5	L	X		Sommaire du Match
55 - 2019-11-27	515	Hershey Bears	6	Milwaukee Admirals	9	L			Sommaire du Match
56 - 2019-11-28	530	Toronto Marlies	0	Hershey Bears	1	W			Sommaire du Match
58 - 2019-11-30	549	Victoriaville Tigres	5	Hershey Bears	10	W			Sommaire du Match
59 - 2019-12-01	559	Hershey Bears	4	Philadelphia Phantoms	2	W			Sommaire du Match
61 - 2019-12-03	574	Hershey Bears	4	Hartford Wolf Pack	5	L	X	X	Sommaire du Match
63 - 2019-12-05	591	Boisbriand Armada	1	Hershey Bears	5	W			Sommaire du Match
65 - 2019-12-07	608	Hershey Bears	5	Seattle Thunderbirds	2	W			Sommaire du Match
66 - 2019-12-08	617	Hershey Bears	7	London Knights	3	W			Sommaire du Match
67 - 2019-12-09	628	Worcester Sharks	5	Hershey Bears	4	L	X	X	Sommaire du Match
69 - 2019-12-11	650	Lowell Devils	3	Hershey Bears	5	W			Sommaire du Match
71 - 2019-12-13	662	Hershey Bears	2	Texas Stars	1	W	X	X	Sommaire du Match
72 - 2019-12-14	680	Hartford Wolf Pack	8	Hershey Bears	4	L			Sommaire du Match
74 - 2019-12-16	696	Hershey Bears	7	Brampton Battalion	6	W	X		Sommaire du Match
76 - 2019-12-18	711	Lake Erie Monsters	1	Hershey Bears	5	W			Sommaire du Match
77 - 2019-12-19	729	Las Vegas Wranglers	4	Hershey Bears	6	W			Sommaire du Match
78 - 2019-12-20	741	Hershey Bears	11	Grand Rapids Griffins	5	W			Sommaire du Match
80 - 2019-12-22	758	Chicoutimi Sagueneens	4	Hershey Bears	5	W	X	X	Sommaire du Match
82 - 2019-12-24	777	Hershey Bears	2	Chicoutimi Sagueneens	7	L			Sommaire du Match
83 - 2019-12-25	789	Quebec Rempart	1	Hershey Bears	5	W			Sommaire du Match
84 - 2019-12-26	802	Hershey Bears	6	Rimouski Oceanic	1	W			Sommaire du Match
87 - 2019-12-29	823	Laval Rockets	2	Hershey Bears	10	W			Sommaire du Match
88 - 2019-12-30	834	Hershey Bears	7	Bridgeport Sound Tigers	2	W			Sommaire du Match
90 - 2020-01-01	851	Manitoba Moose	5	Hershey Bears	6	W	X	X	Sommaire du Match
92 - 2020-01-03	870	Hershey Bears	8	Peoria Riverman	6	W			Sommaire du Match
93 - 2020-01-04	884	Hershey Bears	1	Calgary Hitman	3	L			Sommaire du Match
94 - 2020-01-05	892	Manitoba Moose	5	Hershey Bears	4	L			Sommaire du Match
96 - 2020-01-07	912	Calgary Hitman	7	Hershey Bears	5	L			Sommaire du Match
97 - 2020-01-08	925	Hershey Bears	9	Las Vegas Wranglers	2	W			Sommaire du Match
99 - 2020-01-10	940	Philadelphia Phantoms	4	Hershey Bears	2	L			Sommaire du Match
100 - 2020-01-11	955	Hershey Bears	5	Rochester Americans	2	W			Sommaire du Match
102 - 2020-01-13	969	Seattle Thunderbirds	2	Hershey Bears	4	W			Sommaire du Match
103 - 2020-01-14	980	Hershey Bears	2	Laval Rockets	4	L			Sommaire du Match
105 - 2020-01-16	999	Chicago Wolves	4	Hershey Bears	5	W			Sommaire du Match
108 - 2020-01-19	1023	Chicago Wolves	5	Hershey Bears	3	L			Sommaire du Match
110 - 2020-01-21	1033	Hershey Bears	6	Hartford Wolf Pack	4	W			Sommaire du Match
111 - 2020-01-22	1054	Sherbrooke Phoenix	5	Hershey Bears	4	L	X		Sommaire du Match
112 - 2020-01-23	1057	Hershey Bears	1	Manitoba Moose	5	L			Sommaire du Match
115 - 2020-01-26	1086	Peoria Riverman	3	Hershey Bears	10	W			Sommaire du Match
116 - 2020-01-27	1090	Hershey Bears	4	Quebec Rempart	5	L	X		Sommaire du Match
118 - 2020-01-29	1113	Hershey Bears	4	Binghampton Senators	2	W			Sommaire du Match
120 - 2020-01-31	1126	Hartford Wolf Pack	3	Hershey Bears	6	W			Sommaire du Match
122 - 2020-02-02	1147	Hershey Bears	6	Lowell Devils	2	W			Sommaire du Match
123 - 2020-02-03	1152	Texas Stars	2	Hershey Bears	4	W			Sommaire du Match
127 - 2020-02-07	1180	Milwaukee Admirals	7	Hershey Bears	3	L			Sommaire du Match
128 - 2020-02-08	1190	Hershey Bears	1	Worcester Sharks	3	L			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
130 - 2020-02-10	1204	Portland Pirates	6	Hershey Bears	4	L			Sommaire du Match
131 - 2020-02-11	1211	Hershey Bears	3	Binghampton Senators	1	W			Sommaire du Match
133 - 2020-02-13	1228	Hershey Bears	5	Worcester Sharks	2	W			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	63,824	32,435
Assistance PCT	77.83%	79.11%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	2348 - 78.26%	98,862$	4,053,344$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,167,164$	1,549,366$	1,549,366$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	2,167,164$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	15,667$	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
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	105	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	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	105	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