Stanley Cup Winners Hockey League

NEW JERSEY Devils
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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	Jeremy Bracco	0			X		100.00	53	39	87	69	58	86	84	67	73	68	57	59	66	65	63	67	99	67	0	23	3	750,000$
2	Lane Pederson	0	X				100.00	58	49	83	63	72	88	82	61	73	60	62	58	63	65	61	63	99	67	0	23	1	950,000$
3	Joel L'Esperance	0	X				100.00	65	46	89	64	83	78	75	62	58	59	63	61	64	69	65	53	99	67	0	25	5	950,000$
4	Joachim Blichfeld (R)	0			X		100.00	65	42	89	63	76	77	73	62	56	60	61	66	64	63	65	56	99	67	0	22	3	750,000$
5	Ryan McLeod (R)	0	X				100.00	68	47	87	63	82	86	85	61	67	59	54	56	58	61	63	76	99	67	0	20	3	750,000$
6	Aleksi Saarela (R)	0	X				100.00	59	41	90	63	70	84	79	62	56	60	61	59	62	65	63	64	99	66	0	23	3	750,000$
7	Matthew Peca	0	X				100.00	54	39	86	64	66	78	77	63	74	62	61	65	64	73	66	58	99	66	0	27	1	1,300,000$
8	Zack MacEwen	0			X		100.00	65	53	81	62	84	73	72	63	66	60	62	61	64	67	63	52	99	66	0	24	5	950,000$
9	Karson Kuhlman (R)	0	X				100.00	58	41	82	62	69	79	78	59	63	58	60	61	59	69	64	55	99	65	0	24	4	750,000$
10	Kole Lind (R)	0			X		100.00	57	51	85	60	73	86	82	58	54	59	56	61	58	63	62	77	99	65	0	21	4	750,000$
11	Jakob Stukel (R)	0		X			100.00	56	39	84	57	71	75	72	56	53	55	58	59	56	65	63	62	99	62	0	23	3	750,000$
12	Juuso Riikola	0				X	100.00	82	39	90	64	72	79	77	63	30	65	56	61	48	73	67	36	99	68	0	26	2	750,000$
13	Keaton Middleton (R)	0				X	100.00	86	59	79	56	99	87	83	55	30	54	54	62	46	63	62	64	99	68	0	22	3	750,000$
14	Cale Fleury	0				X	100.00	72	43	88	63	78	83	77	62	30	61	58	64	53	62	61	64	99	67	0	21	1	950,000$
15	Dylan Coghlan	0				X	100.00	62	45	90	59	78	87	89	58	30	57	57	60	45	63	62	64	99	66	0	22	1	950,000$
16	Nelson Nogier	0				X	100.00	62	47	88	59	79	77	76	58	30	57	56	60	53	67	64	59	99	65	0	24	5	950,000$
17	Kale Clague	0				X	100.00	57	43	89	63	70	81	72	61	30	60	58	62	54	63	61	72	99	65	0	22	1	950,000$
18	Sergey Zborovskiy (R)	0				X	100.00	51	41	77	50	82	44	27	50	30	44	44	60	50	50	50	44	99	50	0	23	3	750,000$
Rayé
1	Ryan Donato	0	X				100.00	63	39	87	72	73	82	78	69	63	67	70	58	72	67	65	68	99	70	0	24	2	2,000,000$

	MOYENNE D'ÉQUIPE					100.00	63	44	86	62	76	79	76	61	51	59	58	61	58	65	63	61	99	65

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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	Patrik Rybar (R)	100.00	76	66	81	78	75	74	76	75	74	75	70	50	63	42	99	66	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	76	66	81	78	75	74	76	75	74	75	70	50	63	42	99	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

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

#	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	FT	S1	S2	S3
1	Jeremy Bracco	BINGHAMTON Devils (NJD)	RW	64	30	75	105	60	16	0	54	151	392	101	285	7.65%	65	1754	27.41	3	8	11	45	144	0	0	0	8	154	6	0	59.29%	140	2	0	1	1	1.20	2	5	0	0	12	5	5
2	Ryan McLeod	BINGHAMTON Devils (NJD)	C	64	36	58	94	61	24	0	112	115	299	68	188	12.04%	44	1674	26.17	4	10	14	38	136	1	0	1	4	106	5	2	61.85%	734	2	2	0	3	1.12	0	0	0	0	5	4	7
3	Joel L'Esperance	BINGHAMTON Devils (NJD)	C	64	41	50	91	62	33	5	81	154	378	94	266	10.85%	51	1530	23.91	5	6	11	54	148	0	0	0	6	149	10	1	59.25%	1357	0	2	0	3	1.19	1	5	0	1	5	7	6
4	Lane Pederson	BINGHAMTON Devils (NJD)	C	64	25	58	83	38	12	0	49	149	274	75	225	9.12%	39	1290	20.16	6	13	19	42	149	0	1	1	2	113	4	0	65.34%	1558	1	0	0	1	1.29	1	3	0	0	3	2	5
5	Joachim Blichfeld	BINGHAMTON Devils (NJD)	RW	64	33	49	82	36	22	0	70	92	351	91	242	9.40%	28	1155	18.06	6	11	17	58	147	0	0	0	0	0	4	0	58.43%	89	0	3	0	2	1.42	0	0	0	0	4	2	2
6	Matthew Peca	BINGHAMTON Devils (NJD)	C	64	24	35	59	34	12	0	47	119	274	74	217	8.76%	25	974	15.22	0	0	0	0	0	0	0	0	0	0	1	1	60.59%	1010	2	0	0	0	1.21	0	0	0	0	2	1	2
7	Jakob Stukel	BINGHAMTON Devils (NJD)	LW	64	13	37	50	32	10	0	50	37	148	46	115	8.78%	15	840	13.14	3	7	10	40	154	0	0	0	0	12	2	0	53.97%	63	0	0	0	0	1.19	0	0	0	0	0	2	2
8	Kole Lind	BINGHAMTON Devils (NJD)	RW	64	26	22	48	34	16	0	58	59	202	51	136	12.87%	18	974	15.23	0	0	0	0	0	0	0	0	0	0	3	1	43.86%	57	0	0	0	2	0.98	0	0	0	0	1	5	2
9	Ryan Donato	BINGHAMTON Devils (NJD)	C	27	17	23	40	32	14	0	23	31	155	37	77	10.97%	2	612	22.68	0	5	5	12	61	0	0	0	1	27	2	1	68.29%	82	0	0	0	0	1.31	1	1	0	0	5	3	2
10	Zack MacEwen	BINGHAMTON Devils (NJD)	RW	64	16	22	38	31	10	0	50	50	168	33	110	9.52%	16	619	9.67	0	0	0	0	1	1	0	1	3	48	2	0	64.20%	81	0	1	0	0	1.23	0	0	0	0	0	3	0
11	Keaton Middleton	BINGHAMTON Devils (NJD)	D	64	10	28	38	46	75	5	129	25	83	18	59	12.05%	62	929	14.52	3	1	4	13	55	0	1	1	1	38	0	1	0.00%	0	0	1	0	0	0.82	0	0	1	0	0	2	1
12	Aleksi Saarela	BINGHAMTON Devils (NJD)	C	64	9	15	24	13	2	0	18	27	71	20	68	12.68%	6	391	6.11	1	3	4	4	30	0	0	0	0	9	0	0	58.33%	72	0	1	0	0	1.23	0	0	0	0	0	0	1
13	Kale Clague	BINGHAMTON Devils (NJD)	D	64	4	14	18	14	18	0	26	35	33	11	20	12.12%	28	620	9.70	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.58	0	0	0	0	0	0	1
14	Juuso Riikola	BINGHAMTON Devils (NJD)	D	64	3	13	16	9	45	5	68	26	24	9	15	12.50%	28	738	11.54	0	0	0	0	0	0	0	0	0	4	0	0	0.00%	0	0	1	0	0	0.43	0	0	0	0	0	0	1
15	Cale Fleury	BINGHAMTON Devils (NJD)	D	64	1	12	13	9	20	0	37	31	38	12	34	2.63%	40	733	11.47	0	0	0	0	0	0	0	0	0	0	1	0	0.00%	0	0	1	0	0	0.35	0	0	0	0	0	0	0
16	Dylan Coghlan	BINGHAMTON Devils (NJD)	D	64	2	8	10	14	20	0	40	14	33	7	23	6.06%	26	620	9.70	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.32	0	0	0	0	0	0	0
17	Drake Caggiula	NEW JERSEY Devils	RW	6	4	3	7	9	10	0	22	7	40	13	31	10.00%	2	112	18.69	0	0	0	6	9	0	0	0	0	0	1	0	66.67%	15	0	2	0	0	1.25	0	0	0	0	0	1	1
18	Julian Melchiori	NEW JERSEY Devils	D	4	1	2	3	6	0	0	8	2	8	7	1	12.50%	8	87	21.82	1	0	1	6	14	0	0	0	0	8	0	0	0.00%	0	0	0	0	0	0.69	0	0	0	0	0	0	0
19	Karson Kuhlman	BINGHAMTON Devils (NJD)	C	64	0	2	2	0	0	0	1	9	10	2	12	0.00%	0	61	0.96	0	0	0	2	4	0	0	0	0	0	0	0	65.00%	20	0	0	0	0	0.65	0	0	0	0	0	0	0
20	Mario Ferraro	NEW JERSEY Devils	D	2	2	0	2	4	0	0	3	1	8	0	2	25.00%	1	34	17.25	1	0	1	5	5	0	0	0	0	3	0	0	0.00%	0	0	1	0	0	1.16	0	0	0	0	0	0	1
21	Nelson Nogier	BINGHAMTON Devils (NJD)	D	64	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	5	0.08	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0
22	Sergey Zborovskiy	BINGHAMTON Devils (NJD)	D	64	0	0	0	0	0	0	0	1	0	0	0	0.00%	1	11	0.18	0	0	0	0	0	0	0	0	0	11	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1191	297	526	823	544	359	15	946	1135	2989	769	2126	9.94%	505	15773	13.24	33	64	97	325	1065	2	2	4	25	687	41	7	61.67%	5278	7	15	1	12	1.04	5	14	1	1	37	37	39

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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	S1	S2	S3
1	Patrik Rybar	BINGHAMTON Devils (NJD)	64	41	19	4	0.926	2.08	3875	6	8	134	1803	19	0	2	0.846	13	64	6	4	4
2	Anthony Stolarz	NEW JERSEY Devils	28	4	22	2	0.939	3.70	1685	2	1	104	1707	27	1	0	0.333	3	28	9	5	3
Stats d'équipe Total ou en Moyenne			92	45	41	6	0.932	2.57	5560	8	9	238	3510	46	1	2	0.750	16	92	15	9	7

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Link
Aleksi Saarela	BINGHAMTON Devils (NJD)	C	23	1/7/1997	Yes	91 Kg	178 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Cale Fleury	BINGHAMTON Devils (NJD)	D	21	10/19/1998	No	93 Kg	185 CM	No	No	No	1	Pro & Farm	950,000$	201,271$	750,000$	158,898$	0$	0$	No					Lien
Dylan Coghlan	BINGHAMTON Devils (NJD)	D	22	2/19/1998	No	86 Kg	188 CM	No	No	No	1	Pro & Farm	950,000$	201,271$	750,000$	158,898$	0$	0$	No					Lien
Jakob Stukel	BINGHAMTON Devils (NJD)	LW	23	3/6/1997	Yes	83 Kg	183 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Jeremy Bracco	BINGHAMTON Devils (NJD)	RW	23	3/17/1997	No	82 Kg	155 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Joachim Blichfeld	BINGHAMTON Devils (NJD)	RW	22	7/17/1998	Yes	82 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Joel L'Esperance	BINGHAMTON Devils (NJD)	C	25	8/18/1995	No	98 Kg	188 CM	No	No	No	5	Pro & Farm	950,000$	201,271$	750,000$	158,898$	0$	0$	No	950,000$	950,000$	950,000$	950,000$	Lien
Juuso Riikola	BINGHAMTON Devils (NJD)	D	26	11/9/1993	No	86 Kg	183 CM	No	No	No	2	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$				Lien
Kale Clague	BINGHAMTON Devils (NJD)	D	22	6/5/1998	No	80 Kg	183 CM	No	No	No	1	Pro & Farm	950,000$	201,271$	750,000$	158,898$	0$	0$	No					Lien
Karson Kuhlman	BINGHAMTON Devils (NJD)	C	24	9/26/1995	Yes	84 Kg	180 CM	No	No	No	4	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$	750,000$
Keaton Middleton	BINGHAMTON Devils (NJD)	D	22	2/10/1998	Yes	109 Kg	198 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Kole Lind	BINGHAMTON Devils (NJD)	RW	21	10/16/1998	Yes	81 Kg	185 CM	No	No	No	4	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$	750,000$
Lane Pederson	BINGHAMTON Devils (NJD)	C	23	8/4/1997	No	86 Kg	183 CM	No	No	No	1	Pro & Farm	950,000$	201,271$	750,000$	158,898$	0$	0$	No					Lien
Matthew Peca	BINGHAMTON Devils (NJD)	C	27	4/27/1993	No	83 Kg	175 CM	No	No	No	1	Pro & Farm	1,300,000$	275,424$	1,300,000$	275,424$	0$	0$	No					Lien
Nelson Nogier	BINGHAMTON Devils (NJD)	D	24	5/27/1996	No	87 Kg	188 CM	No	No	No	5	Pro & Farm	950,000$	201,271$	750,000$	158,898$	0$	0$	No	950,000$	950,000$	950,000$	950,000$	Lien
Patrik Rybar	BINGHAMTON Devils (NJD)	G	26	11/9/1993	Yes	86 Kg	188 CM	No	No	No	2	Pro & Farm	900,000$	190,678$	750,000$	158,898$	0$	0$	No	900,000$				Lien
Ryan Donato	BINGHAMTON Devils (NJD)	C	24	4/9/1996	No	87 Kg	183 CM	No	No	No	2	Pro & Farm	2,000,000$	423,729$	750,000$	158,898$	0$	0$	No	2,000,000$				Lien
Ryan McLeod	BINGHAMTON Devils (NJD)	C	20	9/21/1999	Yes	94 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Sergey Zborovskiy	BINGHAMTON Devils (NJD)	D	23	2/21/1997	Yes	95 Kg	193 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Zack MacEwen	BINGHAMTON Devils (NJD)	RW	24	7/8/1996	No	93 Kg	191 CM	No	No	No	5	Pro & Farm	950,000$	201,271$	750,000$	158,898$	0$	0$	No	950,000$	950,000$	950,000$	950,000$	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	23.25	88 Kg	185 CM	2.75	917,500$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jakob Stukel	Joel L'Esperance	Jeremy Bracco	31	1	2	2
2	Ryan McLeod	Lane Pederson	Joachim Blichfeld	26	1	2	2
3	Joel L'Esperance	Ryan McLeod	Zack MacEwen	23	1	2	2
4	Jeremy Bracco	Matthew Peca	Kole Lind	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			31	1	2	2
2		Keaton Middleton	26	1	2	2
3	Juuso Riikola	Cale Fleury	23	1	2	2
4	Dylan Coghlan	Kale Clague	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jakob Stukel	Joel L'Esperance	Jeremy Bracco	55	1	2	2
2	Ryan McLeod	Lane Pederson	Joachim Blichfeld	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			55	1	2	2
2		Keaton Middleton	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Joel L'Esperance	Jeremy Bracco	55	1	2	2
2	Lane Pederson	Ryan McLeod	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			55	1	2	2
2		Keaton Middleton	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Joel L'Esperance	55	1	2	2			55	1	2	2
2	Jeremy Bracco	45	1	2	2		Keaton Middleton	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Joel L'Esperance	Jeremy Bracco	55	1	2	2
2	Lane Pederson	Ryan McLeod	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			55	1	2	2
2		Keaton Middleton	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jakob Stukel	Joel L'Esperance	Jeremy Bracco

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jakob Stukel	Joel L'Esperance	Jeremy Bracco

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Aleksi Saarela, Karson Kuhlman, Zack MacEwen	Aleksi Saarela, Karson Kuhlman	Zack MacEwen

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Nelson Nogier, Sergey Zborovskiy, Juuso Riikola	Nelson Nogier	Sergey Zborovskiy, Juuso Riikola

Tirs de Pénalité
Joel L'Esperance, Jeremy Bracco, Lane Pederson, Ryan McLeod, Joachim Blichfeld

Gardien
#1 : Patrik Rybar, #2 :

Lignes d'Attaque Perso. en Prol.
Joel L'Esperance, Jeremy Bracco, Lane Pederson, Ryan McLeod, Joachim Blichfeld, Zack MacEwen, Zack MacEwen, Matthew Peca, Aleksi Saarela, Karson Kuhlman, Kole Lind

Lignes de Défense Perso. en Prol.
, , , Keaton Middleton, Juuso Riikola

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	BAKERSFIELD Condors	3	2	0	0	0	0	1	0	12	7	5	2	2	0	0	0	0	0	0	8	4	4	1	0	0	0	0	0	1	0	4	3	1	6	1.000	12	19	31	0	0	134	83	56	7	219	917	972	876	53	46	12	8	56	4	0	0.00%	4	1	75.00%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
2	BELLEVILLE Senators	5	5	0	0	0	0	0	0	45	11	34	3	3	0	0	0	0	0	0	30	7	23	2	2	0	0	0	0	0	0	15	4	11	10	1.000	45	78	123	0	0	134	83	56	7	246	917	972	876	53	127	37	18	64	9	4	44.44%	8	2	75.00%	1	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
3	BRIDGEPORT Sound Tigers	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	2	3	-1	1	0.500	2	4	6	0	0	134	83	56	7	29	917	972	876	53	35	14	8	8	3	0	0.00%	4	1	75.00%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
4	BROOKLYN Wolfpack	2	2	0	0	0	0	0	0	10	2	8	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	10	2	8	4	1.000	10	17	27	0	0	134	83	56	7	74	917	972	876	53	44	10	10	28	1	0	0.00%	4	0	100.00%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
5	CAROLINA Checkers	3	3	0	0	0	0	0	0	35	1	34	3	3	0	0	0	0	0	0	35	1	34	0	0	0	0	0	0	0	0	0	0	0	6	1.000	35	66	101	0	2	134	83	56	7	244	917	972	876	53	37	16	8	44	3	1	33.33%	4	0	100.00%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
6	CHICAGO Wolves	3	3	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	1	0	1	2	2	0	0	0	0	0	0	5	2	3	6	1.000	6	10	16	0	1	134	83	56	7	99	917	972	876	53	87	23	16	54	6	2	33.33%	8	1	87.50%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
7	COLORADO Eagles	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	134	83	56	7	24	917	972	876	53	42	22	8	25	5	1	20.00%	4	1	75.00%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
8	GRAND RAPIDS Griffins	3	1	1	0	1	0	0	0	7	5	2	0	0	0	0	0	0	0	0	0	0	0	3	1	1	0	1	0	0	0	7	5	2	4	0.667	7	12	19	0	0	134	83	56	7	91	917	972	876	53	105	36	18	45	11	0	0.00%	9	0	100.00%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
9	HERSEY Bears	3	1	2	0	0	0	0	0	5	7	-2	1	1	0	0	0	0	0	0	1	0	1	2	0	2	0	0	0	0	0	4	7	-3	2	0.333	5	10	15	0	1	134	83	56	7	85	917	972	876	53	105	27	36	53	13	1	7.69%	17	2	88.24%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
10	IOWA Wild	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	134	83	56	7	55	917	972	876	53	22	5	6	13	1	0	0.00%	3	1	66.67%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
11	LAVAL Rocket	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	3	6	9	0	0	134	83	56	7	65	917	972	876	53	77	11	16	32	7	1	14.29%	7	1	85.71%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
12	LEHIGH VALLEY Phantoms	3	2	1	0	0	0	0	0	7	7	0	2	1	1	0	0	0	0	0	4	6	-2	1	1	0	0	0	0	0	0	3	1	2	4	0.667	7	13	20	0	0	134	83	56	7	98	917	972	876	53	93	25	18	50	14	2	14.29%	8	0	100.00%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
13	MANITOBA Moose	4	3	0	0	0	0	0	1	16	8	8	2	1	0	0	0	0	0	1	9	5	4	2	2	0	0	0	0	0	0	7	3	4	7	0.875	16	29	45	0	0	134	83	56	7	220	917	972	876	53	117	35	33	65	22	7	31.82%	14	2	85.71%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
14	MILWAUKEE Admirals	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	134	83	56	7	50	917	972	876	53	18	10	2	17	2	0	0.00%	1	0	100.00%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
15	ONTARIO Reign	4	2	1	0	1	0	0	0	12	8	4	2	1	1	0	0	0	0	0	4	2	2	2	1	0	0	1	0	0	0	8	6	2	6	0.750	12	21	33	0	1	134	83	56	7	182	917	972	876	53	110	27	12	44	9	2	22.22%	6	2	66.67%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
16	PROVIDENCE Bruins	3	1	2	0	0	0	0	0	4	7	-3	2	1	1	0	0	0	0	0	4	4	0	1	0	1	0	0	0	0	0	0	3	-3	2	0.333	4	6	10	1	0	134	83	56	7	61	917	972	876	53	101	38	22	53	8	3	37.50%	11	1	90.91%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
17	ROCKFORD IceHogs	3	3	0	0	0	0	0	0	28	6	22	2	2	0	0	0	0	0	0	19	5	14	1	1	0	0	0	0	0	0	9	1	8	6	1.000	28	55	83	0	0	134	83	56	7	168	917	972	876	53	75	23	18	44	3	2	66.67%	9	1	88.89%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
18	SAN ANTONIO Rampage	2	1	1	0	0	0	0	0	9	4	5	1	0	1	0	0	0	0	0	0	3	-3	1	1	0	0	0	0	0	0	9	1	8	2	0.500	9	15	24	0	0	134	83	56	7	69	917	972	876	53	64	19	23	44	0	0	0.00%	8	0	100.00%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
19	SAN DIEGO Gulls	3	3	0	0	0	0	0	0	33	0	33	2	2	0	0	0	0	0	0	21	0	21	1	1	0	0	0	0	0	0	12	0	12	6	1.000	33	60	93	0	3	134	83	56	7	277	917	972	876	53	15	6	2	29	3	0	0.00%	1	0	100.00%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
20	SCRANTON Penguins	5	1	1	0	1	1	0	1	12	14	-2	2	1	0	0	1	0	0	0	5	3	2	3	0	1	0	0	1	0	1	7	11	-4	6	0.600	12	23	35	0	0	134	83	56	7	164	917	972	876	53	181	45	50	88	23	3	13.04%	15	4	73.33%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
21	STOCKTON Flames	3	1	2	0	0	0	0	0	7	9	-2	1	0	1	0	0	0	0	0	2	3	-1	2	1	1	0	0	0	0	0	5	6	-1	2	0.333	7	13	20	0	0	134	83	56	7	122	917	972	876	53	97	14	14	38	9	1	11.11%	7	3	57.14%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
22	SYRACUSE Crunch	3	0	3	0	0	0	0	0	6	11	-5	1	0	1	0	0	0	0	0	2	4	-2	2	0	2	0	0	0	0	0	4	7	-3	0	0.000	6	11	17	1	0	134	83	56	7	80	917	972	876	53	102	28	18	36	11	2	18.18%	8	3	62.50%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
23	TUSCON Roadrunners	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	134	83	56	7	29	917	972	876	53	38	7	8	15	1	0	0.00%	4	0	100.00%	1	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
24	UTICA Comets	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	5	10	15	0	0	134	83	56	7	54	917	972	876	53	67	17	10	35	13	1	7.69%	5	2	60.00%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
	Total	64	35	19	0	3	2	3	2	279	138	141	33	20	9	0	1	0	2	1	164	65	99	31	15	10	0	2	2	1	1	115	73	42	86	0.672	279	503	782	2	8	134	83	56	7	2805	917	972	876	53	1805	507	382	980	181	33	18.23%	169	28	83.43%	2	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
	_Since Last GM Reset	64	35	19	0	3	2	3	2	279	138	141	33	20	9	0	1	0	2	1	164	65	99	31	15	10	0	2	2	1	1	115	73	42	86	0.672	279	503	782	2	8	134	83	56	7	2805	917	972	876	53	1805	507	382	980	181	33	18.23%	169	28	83.43%	2	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
	_Vs Conference	40	24	9	0	3	1	1	2	170	85	85	20	14	4	0	1	0	0	1	105	37	68	20	10	5	0	2	1	1	1	65	48	17	59	0.738	170	305	475	1	4	134	83	56	7	1820	917	972	876	53	1124	303	219	597	122	24	19.67%	94	19	79.79%	1	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
	_Vs Division	14	13	2	0	2	1	0	2	36	33	3	5	8	0	0	1	0	0	1	10	9	1	9	5	2	0	1	1	0	1	26	24	2	33	1.179	36	67	103	0	1	134	83	56	7	450	917	972	876	53	458	121	122	227	54	6	11.11%	48	7	85.42%	0	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377

			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
64	86	L1	279	503	782	2805	1805	507	382	980	2	8

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
64	35	19	3	2	3	2	279	138

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
33	20	9	1	0	2	1	164	65

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
31	15	10	2	2	1	1	115	73

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	4	0	0	0	1

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
181	33	18.23%	169	28	83.43%	2

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
917	972	876	53	134	83	56	7

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
1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%

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
1775	1355	1374	389	729	377

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	RI	Lien
1 - 2021-01-17	11	BELLEVILLE Senators	2	BINGHAMTON Devils	9	W				Sommaire du Match
3 - 2021-01-19	25	BINGHAMTON Devils	2	GRAND RAPIDS Griffins	1	W	X			Sommaire du Match
5 - 2021-01-21	40	CAROLINA Checkers	0	BINGHAMTON Devils	11	W				Sommaire du Match
6 - 2021-01-22	47	BINGHAMTON Devils	3	SCRANTON Penguins	4	L	X	X		Sommaire du Match
7 - 2021-01-23	61	MANITOBA Moose	1	BINGHAMTON Devils	6	W			R3	Sommaire du Match
8 - 2021-01-24	78	BINGHAMTON Devils	1	HERSEY Bears	3	L				Sommaire du Match
10 - 2021-01-26	86	BAKERSFIELD Condors	2	BINGHAMTON Devils	3	W				Sommaire du Match
12 - 2021-01-28	105	BINGHAMTON Devils	9	BELLEVILLE Senators	2	W				Sommaire du Match
14 - 2021-01-30	115	ROCKFORD IceHogs	1	BINGHAMTON Devils	8	W				Sommaire du Match
15 - 2021-01-31	129	BINGHAMTON Devils	2	CHICAGO Wolves	1	W				Sommaire du Match
16 - 2021-02-01	140	SAN DIEGO Gulls	0	BINGHAMTON Devils	9	W				Sommaire du Match
18 - 2021-02-03	154	BINGHAMTON Devils	4	STOCKTON Flames	2	W				Sommaire du Match
19 - 2021-02-04	165	BINGHAMTON Devils	4	MANITOBA Moose	1	W			R3	Sommaire du Match
20 - 2021-02-05	178	BELLEVILLE Senators	4	BINGHAMTON Devils	9	W				Sommaire du Match
21 - 2021-02-06	190	PROVIDENCE Bruins	3	BINGHAMTON Devils	1	L				Sommaire du Match
24 - 2021-02-09	207	BINGHAMTON Devils	1	GRAND RAPIDS Griffins	2	L				Sommaire du Match
25 - 2021-02-10	215	CHICAGO Wolves	0	BINGHAMTON Devils	1	W				Sommaire du Match
26 - 2021-02-11	228	BINGHAMTON Devils	3	MANITOBA Moose	2	W			R3	Sommaire du Match
28 - 2021-02-13	240	SCRANTON Penguins	1	BINGHAMTON Devils	2	W				Sommaire du Match
29 - 2021-02-14	253	BINGHAMTON Devils	2	UTICA Comets	4	L				Sommaire du Match
30 - 2021-02-15	269	BINGHAMTON Devils	4	BAKERSFIELD Condors	3	W	X	X		Sommaire du Match
31 - 2021-02-16	280	HERSEY Bears	0	BINGHAMTON Devils	1	W			R3	Sommaire du Match
33 - 2021-02-18	295	BAKERSFIELD Condors	2	BINGHAMTON Devils	5	W				Sommaire du Match
34 - 2021-02-19	305	BINGHAMTON Devils	6	BELLEVILLE Senators	2	W				Sommaire du Match
36 - 2021-02-21	322	ONTARIO Reign	0	BINGHAMTON Devils	3	W				Sommaire du Match
37 - 2021-02-22	333	BINGHAMTON Devils	12	SAN DIEGO Gulls	0	W				Sommaire du Match
39 - 2021-02-24	346	BINGHAMTON Devils	3	CHICAGO Wolves	1	W				Sommaire du Match
40 - 2021-02-25	357	ONTARIO Reign	2	BINGHAMTON Devils	1	L				Sommaire du Match
41 - 2021-02-26	369	BINGHAMTON Devils	1	STOCKTON Flames	4	L				Sommaire du Match
43 - 2021-02-28	382	BINGHAMTON Devils	2	LAVAL Rocket	4	L				Sommaire du Match
45 - 2021-03-02	395	LAVAL Rocket	3	BINGHAMTON Devils	1	L				Sommaire du Match
46 - 2021-03-03	409	UTICA Comets	4	BINGHAMTON Devils	3	L				Sommaire du Match
48 - 2021-03-05	423	BELLEVILLE Senators	1	BINGHAMTON Devils	12	W				Sommaire du Match
49 - 2021-03-06	438	BINGHAMTON Devils	3	HERSEY Bears	4	L			R3	Sommaire du Match
50 - 2021-03-07	447	BINGHAMTON Devils	9	ROCKFORD IceHogs	1	W				Sommaire du Match
52 - 2021-03-09	461	ROCKFORD IceHogs	4	BINGHAMTON Devils	11	W				Sommaire du Match
53 - 2021-03-10	473	BINGHAMTON Devils	1	SYRACUSE Crunch	2	L				Sommaire du Match
54 - 2021-03-11	488	LEHIGH VALLEY Phantoms	3	BINGHAMTON Devils	0	L				Sommaire du Match
55 - 2021-03-12	498	BINGHAMTON Devils	4	GRAND RAPIDS Griffins	2	W				Sommaire du Match
57 - 2021-03-14	515	BINGHAMTON Devils	0	PROVIDENCE Bruins	3	L				Sommaire du Match
58 - 2021-03-15	520	LEHIGH VALLEY Phantoms	3	BINGHAMTON Devils	4	W				Sommaire du Match
60 - 2021-03-17	537	SYRACUSE Crunch	4	BINGHAMTON Devils	2	L				Sommaire du Match
61 - 2021-03-18	553	SAN DIEGO Gulls	0	BINGHAMTON Devils	12	W				Sommaire du Match
63 - 2021-03-20	569	BINGHAMTON Devils	3	SCRANTON Penguins	4	L	X			Sommaire du Match
64 - 2021-03-21	581	BINGHAMTON Devils	5	ONTARIO Reign	4	W				Sommaire du Match
65 - 2021-03-22	589	COLORADO Eagles	3	BINGHAMTON Devils	4	W	X	X		Sommaire du Match
67 - 2021-03-24	606	PROVIDENCE Bruins	1	BINGHAMTON Devils	3	W				Sommaire du Match
68 - 2021-03-25	618	BINGHAMTON Devils	3	ONTARIO Reign	2	W	X			Sommaire du Match
69 - 2021-03-26	629	BINGHAMTON Devils	3	BROOKLYN Wolfpack	1	W				Sommaire du Match
71 - 2021-03-28	644	SCRANTON Penguins	2	BINGHAMTON Devils	3	W	X			Sommaire du Match
73 - 2021-03-30	657	BINGHAMTON Devils	2	BRIDGEPORT Sound Tigers	3	L	X			Sommaire du Match
75 - 2021-04-01	671	IOWA Wild	2	BINGHAMTON Devils	5	W				Sommaire du Match
76 - 2021-04-02	687	BINGHAMTON Devils	1	SCRANTON Penguins	3	L				Sommaire du Match
77 - 2021-04-03	694	BINGHAMTON Devils	9	SAN ANTONIO Rampage	1	W				Sommaire du Match
78 - 2021-04-04	702	TUSCON Roadrunners	3	BINGHAMTON Devils	2	L				Sommaire du Match
80 - 2021-04-06	720	BINGHAMTON Devils	3	SYRACUSE Crunch	5	L				Sommaire du Match
81 - 2021-04-07	728	CAROLINA Checkers	1	BINGHAMTON Devils	12	W				Sommaire du Match
83 - 2021-04-09	746	MILWAUKEE Admirals	3	BINGHAMTON Devils	4	W	X	X		Sommaire du Match
85 - 2021-04-11	762	CAROLINA Checkers	0	BINGHAMTON Devils	12	W				Sommaire du Match
86 - 2021-04-12	770	BINGHAMTON Devils	7	BROOKLYN Wolfpack	1	W				Sommaire du Match
88 - 2021-04-14	786	BINGHAMTON Devils	3	LEHIGH VALLEY Phantoms	1	W				Sommaire du Match
89 - 2021-04-15	801	SAN ANTONIO Rampage	3	BINGHAMTON Devils	0	L				Sommaire du Match
92 - 2021-04-18	816	MANITOBA Moose	4	BINGHAMTON Devils	3	L	X	X	R3	Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19	832	STOCKTON Flames	3	BINGHAMTON Devils	2	L				Sommaire du Match
94 - 2021-04-20	838	BINGHAMTON Devils	-	MILWAUKEE Admirals	-
96 - 2021-04-22	855	BINGHAMTON Devils	-	IOWA Wild	-
97 - 2021-04-23	866	MANITOBA Moose	-	BINGHAMTON Devils	-
98 - 2021-04-24	882	BROOKLYN Wolfpack	-	BINGHAMTON Devils	-
100 - 2021-04-26	897	BINGHAMTON Devils	-	TORONTO Marlies	-
101 - 2021-04-27	902	BINGHAMTON Devils	-	TUSCON Roadrunners	-
102 - 2021-04-28	917	BINGHAMTON Devils	-	CAROLINA Checkers	-
103 - 2021-04-29	928	GRAND RAPIDS Griffins	-	BINGHAMTON Devils	-
105 - 2021-05-01	942	GRAND RAPIDS Griffins	-	BINGHAMTON Devils	-
106 - 2021-05-02	950	BINGHAMTON Devils	-	CAROLINA Checkers	-
108 - 2021-05-04	969	BRIDGEPORT Sound Tigers	-	BINGHAMTON Devils	-
109 - 2021-05-05	977	BINGHAMTON Devils	-	IOWA Wild	-
112 - 2021-05-08	1000	TORONTO Marlies	-	BINGHAMTON Devils	-
113 - 2021-05-09	1014	BINGHAMTON Devils	-	COLORADO Eagles	-
116 - 2021-05-12	1028	TORONTO Marlies	-	BINGHAMTON Devils	-
117 - 2021-05-13	1040	BINGHAMTON Devils	-	COLORADO Eagles	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
7	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,369,544$	1,835,000$	1,555,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	1,369,544$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	25	15,551$	388,775$

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
34	80	37	33	0	4	3	1	2	251	215	36	40	20	14	0	2	2	1	1	123	99	24	40	17	19	0	2	1	0	1	128	116	12	89	251	438	689	3	4	91	87	68	5	2678	867	885	899	37	2470	725	544	1318	249	49	19.68%	229	40	82.53%	1	1391	2596	53.58%	1251	2688	46.54%	627	1196	52.42%	1907	1373	1950	556	973	480
34	80	37	33	0	4	3	1	2	251	215	36	40	20	14	0	2	2	1	1	123	99	24	40	17	19	0	2	1	0	1	128	116	12	89	251	438	689	3	4	91	87	68	5	2678	867	885	899	37	2470	725	544	1318	249	49	19.68%	229	40	82.53%	1	1391	2596	53.58%	1251	2688	46.54%	627	1196	52.42%	1907	1373	1950	556	973	480
36	64	35	19	0	3	2	3	2	279	138	141	33	20	9	0	1	0	2	1	164	65	99	31	15	10	0	2	2	1	1	115	73	42	86	279	503	782	2	8	134	83	56	7	2805	917	972	876	53	1805	507	382	980	181	33	18.23%	169	28	83.43%	2	1457	2244	64.93%	1142	1942	58.81%	590	947	62.30%	1775	1355	1374	389	729	377
Total Saison Régulière	224	109	85	0	11	8	5	6	781	568	213	113	60	37	0	5	4	4	3	410	263	147	111	49	48	0	6	4	1	3	371	305	66	264	781	1379	2160	8	16	316	257	192	17	8161	2651	2742	2674	127	6745	1957	1470	3616	679	131	19.29%	627	108	82.78%	4	4239	7436	57.01%	3644	7318	49.80%	1844	3339	55.23%	5590	4101	5275	1502	2675	1337
Séries
34	12	7	5	0	0	0	0	0	32	26	6	5	2	3	0	0	0	0	0	14	14	0	7	5	2	0	0	0	0	0	18	12	6	14	32	57	89	0	0	9	11	10	2	366	100	106	130	30	357	115	74	196	53	10	18.87%	34	4	88.24%	0	245	422	58.06%	226	416	54.33%	100	170	58.82%	292	204	317	91	156	75
Total Séries	12	7	5	0	0	0	0	0	32	26	6	5	2	3	0	0	0	0	0	14	14	0	7	5	2	0	0	0	0	0	18	12	6	14	32	57	89	0	0	9	11	10	2	366	100	106	130	30	357	115	74	196	53	10	18.87%	34	4	88.24%	0	245	422	58.06%	226	416	54.33%	100	170	58.82%	292	204	317	91	156	75

	BINGHAMTON Devils
	GP: 64 \| W: 41 \| L: 19 \| OTL: 4 \| P: 86 GF: 279 \| GA: 138 \| PP%: 18.23% \| PK%: 83.43% DG: Maxime Joseph \| Morale : 99 \| Moyenne d'Équipe : 66 Prochain matchs #838 vs MILWAUKEE Admirals