LAAHS - Binghampton Senators

Senateurs
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Statistiques d'Équipe
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Stats d'équipe en Carrière

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Anthony Greco (C)		X	X		100.00	70	62	89	66	62	85	91	65	50	59	65	65	62	55	55	67	75	63	0
2	Jack Roslovic	X		X		100.00	63	41	98	79	69	55	76	63	49	66	64	54	25	59	60	64	65	61	0
3	Lane Pederson	X				100.00	75	71	85	66	71	77	81	62	78	58	63	64	60	44	44	66	79	61	0
4	Vinni Lettieri	X		X		100.00	80	44	84	72	70	56	90	62	52	57	56	61	25	47	47	62	77	60	0
5	Gabriel Fontaine (A)	X				100.00	77	71	92	68	71	79	86	55	69	49	56	65	53	50	50	62	78	60	0
6	Lukas Radil (R)		X	X		100.00	71	43	94	64	77	57	68	60	56	60	71	57	25	47	47	66	76	59	0
7	Antti Suomela (R)	X				100.00	63	41	94	74	64	59	82	58	74	65	60	55	25	46	46	63	76	59	0
8	Brandon Gignac (A)	X				100.00	70	63	87	66	63	61	62	61	76	59	57	64	54	55	55	61	77	59	0
9	Eric Robinson (R)		X	X		100.00	83	45	99	62	75	61	65	61	25	55	60	66	25	45	45	60	67	58	0
10	Justin Kirkland	X	X			100.00	72	70	77	64	70	80	87	54	50	56	48	61	46	45	45	58	78	58	0
11	Jens Looke		X	X		100.00	74	66	92	65	66	71	76	52	50	46	53	62	50	47	47	58	78	56	0
12	Jonah Gadjovich (R)		X			100.00	79	76	85	61	76	57	60	49	50	47	46	63	44	44	44	54	76	54	0
13	Ryan Graves				X	100.00	77	45	97	72	82	56	85	56	25	51	54	82	25	46	46	64	69	65	0
14	Trevor Carrick				X	100.00	72	74	67	66	74	82	89	58	25	55	46	62	44	44	44	58	84	61	0
15	Roland McKeown				X	100.00	74	72	77	74	72	82	90	51	25	46	41	61	39	44	44	56	70	61	0
16	Jake Bischoff				X	100.00	76	71	89	69	71	73	80	48	25	39	40	62	38	48	48	54	76	59	0
17	Jordan Schmaltz				X	100.00	65	42	96	73	72	58	66	54	25	50	47	63	25	49	49	57	54	59	0
18	Wiley Sherman (R)				X	100.00	86	87	83	67	87	57	61	44	25	32	40	65	38	44	44	52	66	58	0
Rayé
1	Jansen Harkins	X				100.00	73	68	84	67	68	72	77	56	70	50	57	63	54	48	48	61	53	58	0
2	Cam Darcy	X				100.00	72	68	82	65	68	69	73	54	68	48	54	63	51	54	54	58	20	57	0
3	Matteo Gennaro (R)	X				100.00	75	70	86	69	70	73	79	50	63	44	51	61	48	44	44	57	20	56	0
4	Tyler Vesel (R)	X				100.00	77	69	97	65	69	66	70	51	64	50	47	62	45	44	44	57	20	55	0
5	Beck Malenstyn (R)		X			100.00	73	72	74	65	72	68	73	49	50	46	47	60	45	44	44	55	20	54	0
6	Jonne Tammela		X	X		100.00	72	66	87	62	66	49	49	49	50	47	46	60	44	46	46	52	20	51	0
7	Mark Friedman				X	100.00	69	67	74	64	67	78	86	50	25	43	41	58	39	44	44	53	21	57	0
8	Joseph Cecconi (R)				X	100.00	83	76	99	69	76	48	49	49	25	43	39	65	37	44	44	53	20	56	0
9	Jesse Graham				X	100.00	72	67	83	63	67	61	65	48	25	40	41	60	39	47	47	52	20	55	0

	MOYENNE D'ÉQUIPE					100.00	74	63	87	67	71	66	75	54	47	50	51	62	41	47	47	59	57	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	Kaapo Kahkonen (R)	100.00	61	77	96	84	58	69	53	64	62	60	30	44	44	63	76	63	0
2	Jon Gillies	100.00	54	77	96	91	47	55	50	58	48	48	30	45	45	54	76	58	0
Rayé
1	Ivan Kulbakov	100.00	50	57	71	67	48	50	50	55	49	49	30	44	44	51	20	52	0

	MOYENNE D'ÉQUIPE	100.00	55	70	88	81	51	58	51	59	53	52	30	44	44	56	57	58

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Barry Smith	43	43	66	68	45	46	52	USA	58	1	60,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	FW	FL	S1	S2	S3
1	Jack Roslovic	Binghampton Senators (OTT)	C/RW	12	13	13	26	9	0	0	10	14	65	18	47	20.00%	4	238	19.92	5	5	10	8	26	1	9	2	0	25.00%	20	33	5	0	2.18	0	0	2	3	0
2	Anthony Greco	Binghampton Senators (OTT)	LW/RW	12	13	8	21	8	10	0	26	19	74	29	42	17.57%	12	313	26.10	4	3	7	13	26	1	20	2	0	45.28%	53	8	7	1	1.34	0	0	1	2	0
3	Lane Pederson	Binghampton Senators (OTT)	C	12	4	16	20	8	2	0	27	26	29	5	18	13.79%	6	250	20.91	1	7	8	1	26	2	22	0	0	54.14%	362	6	7	0	1.59	0	0	1	1	1
4	Lukas Radil	Binghampton Senators (OTT)	LW/RW	12	5	7	12	-6	0	0	12	15	54	12	36	9.26%	1	215	17.94	1	1	2	2	18	0	0	0	1	60.00%	5	12	5	0	1.12	0	0	1	0	0
5	Vinni Lettieri	Binghampton Senators (OTT)	C/RW	12	4	7	11	-6	8	0	26	15	61	21	35	6.56%	10	215	17.94	0	1	1	3	18	0	0	0	0	25.00%	8	8	9	0	1.02	0	0	0	1	1
6	Gabriel Fontaine	Binghampton Senators (OTT)	C	12	3	5	8	-5	0	0	18	15	30	6	10	10.00%	10	225	18.77	1	1	2	1	18	0	8	0	1	53.63%	179	4	2	0	0.71	0	0	0	0	1
7	Brandon Gignac	Binghampton Senators (OTT)	C	12	3	4	7	2	2	0	10	11	12	4	9	25.00%	6	98	8.19	0	0	0	0	0	1	9	1	0	66.04%	53	5	4	0	1.43	0	0	0	0	1
8	Antti Suomela	Binghampton Senators (OTT)	C	12	3	3	6	-8	0	0	5	11	30	11	17	10.00%	1	164	13.70	0	0	0	0	2	0	2	0	0	55.84%	77	12	4	1	0.73	0	0	0	0	1
9	Eric Robinson	Binghampton Senators (OTT)	LW/RW	12	2	4	6	-8	0	0	15	16	29	13	12	6.90%	3	157	13.12	0	0	0	0	1	0	0	0	0	50.00%	2	10	4	0	0.76	0	0	0	0	0
10	Jake Bischoff	Binghampton Senators (OTT)	D	12	0	5	5	-1	7	5	15	13	11	5	3	0.00%	23	237	19.78	0	0	0	1	18	0	13	0	0	0.00%	0	0	15	0	0.42	0	1	0	0	0
11	Roland McKeown	Binghampton Senators (OTT)	D	12	1	4	5	0	22	0	23	12	22	7	6	4.55%	24	323	26.92	1	1	2	5	29	0	15	0	0	0.00%	0	1	8	0	0.31	0	0	0	0	0
12	Jens Looke	Binghampton Senators (OTT)	LW/RW	12	0	3	3	4	0	0	4	4	4	1	4	0.00%	4	87	7.30	0	0	0	0	0	0	0	0	0	100.00%	1	0	1	0	0.68	0	0	0	0	0
13	Trevor Carrick	Binghampton Senators (OTT)	D	12	0	2	2	-1	26	10	9	11	10	2	5	0.00%	11	235	19.66	0	0	0	2	18	0	15	0	0	0.00%	1	1	10	0	0.17	2	0	0	0	0
14	Justin Kirkland	Binghampton Senators (OTT)	C/LW	12	1	1	2	-11	8	0	20	10	13	2	6	7.69%	3	149	12.50	0	0	0	0	0	0	0	0	0	50.00%	4	2	5	0	0.27	0	0	0	0	0
15	Ryan Graves	Binghampton Senators (OTT)	D	12	0	2	2	0	0	0	10	30	30	10	11	0.00%	22	329	27.46	0	2	2	2	29	0	23	0	0	0.00%	0	6	23	0	0.12	0	0	0	0	0
16	Jonah Gadjovich	Binghampton Senators (OTT)	LW	12	0	2	2	2	0	0	1	2	0	0	1	0.00%	2	36	3.08	0	0	0	0	3	0	7	0	0	100.00%	1	0	0	0	1.08	0	0	0	0	0
17	Jordan Schmaltz	Binghampton Senators (OTT)	D	12	0	1	1	-2	0	0	2	14	6	0	1	0.00%	14	166	13.84	0	0	0	0	0	0	3	0	0	0.00%	0	2	6	0	0.12	0	0	0	0	0
18	Wiley Sherman	Binghampton Senators (OTT)	D	12	0	1	1	0	4	0	9	8	4	3	4	0.00%	16	171	14.27	0	0	0	0	0	0	9	0	0	0.00%	0	0	6	0	0.12	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				216	52	88	140	-15	89	15	242	246	484	149	267	10.74%	172	3616	16.74	13	21	34	38	237	5	160	5	2	53.39%	766	110	121	2	0.77	2	1	5	7	5

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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	GA	SA	SAR	A	ST	BG
1	Kaapo Kahkonen	Binghampton Senators (OTT)	12	5	4	1	0.878	4.40	682	50	411	199	1	12	0
2	Jon Gillies	Binghampton Senators (OTT)	2	0	2	0	0.708	8.75	48	7	24	13	0	0	12
Stats d'équipe Total ou en Moyenne			14	5	6	1	0.869	4.68	731	57	435	212	1	12	12

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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
Anthony Greco	Binghampton Senators (OTT)	LW/RW	24	1993-09-30	No	172 Lbs	5 ft10	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Antti Suomela	Binghampton Senators (OTT)	C	24	1994-03-17	Yes	172 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Beck Malenstyn	Binghampton Senators (OTT)	LW	20	1998-02-04	Yes	194 Lbs	6 ft2	No	No	No	3	Pro & Farm	736,666$	0$	0$	No	736,666$	736,666$	Lien
Brandon Gignac	Binghampton Senators (OTT)	C	20	1997-11-07	No	173 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien
Cam Darcy	Binghampton Senators (OTT)	C	24	1994-03-02	No	186 Lbs	6 ft0	No	No	No	0	Pro & Farm		0$	0$	No			Lien
Eric Robinson	Binghampton Senators (OTT)	LW/RW	23	1995-06-14	Yes	201 Lbs	6 ft2	No	No	No	1	Pro & Farm	874,125$	0$	0$	No			Lien
Gabriel Fontaine	Binghampton Senators (OTT)	C	21	1997-04-30	No	191 Lbs	6 ft1	No	No	No	2	Pro & Farm	737,000$	0$	0$	No	737,000$		Lien
Ivan Kulbakov	Binghampton Senators (OTT)	G	21	1996-09-18	No	183 Lbs	6 ft0	No	No	No	0	Pro & Farm		0$	0$	No			Lien
Jack Roslovic	Binghampton Senators (OTT)	C/RW	21	1997-01-28	No	187 Lbs	6 ft1	No	No	No	1	Pro & Farm	894,166$	0$	0$	No			Lien
Jake Bischoff	Binghampton Senators (OTT)	D	23	1994-07-25	No	194 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien
Jansen Harkins	Binghampton Senators (OTT)	C	21	1997-05-23	No	182 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Jens Looke	Binghampton Senators (OTT)	LW/RW	21	1997-04-11	No	180 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Jesse Graham	Binghampton Senators (OTT)	D	24	1994-05-13	No	184 Lbs	6 ft0	No	No	No	0	Pro & Farm		0$	0$	No			Lien
Jon Gillies	Binghampton Senators (OTT)	G	24	1994-01-21	No	223 Lbs	6 ft6	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien
Jonah Gadjovich	Binghampton Senators (OTT)	LW	19	1998-10-12	Yes	209 Lbs	6 ft2	No	No	No	3	Pro & Farm	814,166$	0$	0$	No	814,166$	814,166$	Lien
Jonne Tammela	Binghampton Senators (OTT)	LW/RW	20	1997-08-05	No	187 Lbs	5 ft10	No	No	No	1	Pro & Farm	710,000$	0$	0$	No			Lien
Jordan Schmaltz	Binghampton Senators (OTT)	D	24	1993-10-08	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Joseph Cecconi	Binghampton Senators (OTT)	D	21	1997-05-23	Yes	209 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Lien
Justin Kirkland	Binghampton Senators (OTT)	C/LW	21	1996-08-02	No	183 Lbs	6 ft3	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Kaapo Kahkonen	Binghampton Senators (OTT)	G	21	1996-08-16	Yes	223 Lbs	6 ft2	No	No	No	2	Pro & Farm	767,500$	0$	0$	No	767,500$		Lien
Lane Pederson	Binghampton Senators (OTT)	C	20	1997-08-04	No	192 Lbs	6 ft1	No	No	No	2	Pro & Farm	678,000$	0$	0$	No	678,000$		Lien
Lukas Radil	Binghampton Senators (OTT)	LW/RW	27	1990-08-04	Yes	201 Lbs	6 ft4	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Mark Friedman	Binghampton Senators (OTT)	D	22	1995-12-25	No	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	825,000$	0$	0$	No	825,000$		Lien
Matteo Gennaro	Binghampton Senators (OTT)	C	21	1997-03-30	Yes	187 Lbs	6 ft2	No	No	No	1	Pro & Farm	575,000$	0$	0$	No			Lien
Roland McKeown	Binghampton Senators (OTT)	D	22	1996-01-19	No	195 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Ryan Graves	Binghampton Senators (OTT)	D	23	1995-05-20	No	216 Lbs	6 ft5	No	No	No	1	Pro & Farm	735,000$	0$	0$	No			Lien
Trevor Carrick	Binghampton Senators (OTT)	D	23	1994-07-04	No	186 Lbs	6 ft2	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Lien
Tyler Vesel	Binghampton Senators (OTT)	C	24	1994-04-14	Yes	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	735,000$	0$	0$	No			Lien
Vinni Lettieri	Binghampton Senators (OTT)	C/RW	23	1995-02-06	No	195 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien
Wiley Sherman	Binghampton Senators (OTT)	D	23	1995-05-24	Yes	225 Lbs	6 ft7	No	No	No	2	Pro & Farm	676,500$	0$	0$	No	676,500$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
30	22.17	193 Lbs	6 ft1	1.37	698,604$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Anthony Greco	Lane Pederson	Jack Roslovic	40	1	2	2
2	Lukas Radil	Gabriel Fontaine	Vinni Lettieri	30	1	2	2
3	Justin Kirkland	Antti Suomela	Eric Robinson	20	1	2	2
4	Jens Looke	Brandon Gignac	Anthony Greco	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Graves	Roland McKeown	40	1	2	2
2	Trevor Carrick	Jake Bischoff	30	1	2	2
3	Jordan Schmaltz	Wiley Sherman	20	1	2	2
4	Ryan Graves	Roland McKeown	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Anthony Greco	Lane Pederson	Jack Roslovic	60	1	2	2
2	Lukas Radil	Gabriel Fontaine	Vinni Lettieri	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Graves	Roland McKeown	60	1	2	2
2	Trevor Carrick	Jake Bischoff	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Anthony Greco	Lane Pederson	60	1	2	2
2	Jack Roslovic	Gabriel Fontaine	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Graves	Roland McKeown	60	1	2	2
2	Trevor Carrick	Jake Bischoff	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Anthony Greco	60	1	2	2	Ryan Graves	Roland McKeown	60	1	2	2
2	Lane Pederson	40	1	2	2	Trevor Carrick	Jake Bischoff	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Anthony Greco	Lane Pederson	60	1	2	2
2	Jack Roslovic	Gabriel Fontaine	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Graves	Roland McKeown	60	1	2	2
2	Trevor Carrick	Jake Bischoff	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Anthony Greco	Lane Pederson	Jack Roslovic	Ryan Graves	Roland McKeown

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Anthony Greco	Lane Pederson	Jack Roslovic	Ryan Graves	Roland McKeown

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jonah Gadjovich, Antti Suomela, Brandon Gignac	Jonah Gadjovich, Antti Suomela	Brandon Gignac

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jordan Schmaltz, Wiley Sherman, Trevor Carrick	Jordan Schmaltz	Wiley Sherman, Trevor Carrick

Tirs de Pénalité
Anthony Greco, Lane Pederson, Jack Roslovic, Gabriel Fontaine, Vinni Lettieri

Gardien
#1 : Kaapo Kahkonen, #2 : Jon Gillies

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	Lake Erie Monsters	5	1	4	0	0	0	0	0	20	27	-7	2	0	2	0	0	0	0	0	8	12	-4	3	1	2	0	0	0	0	0	12	15	-3	2	0.200	20	31	51	0	0	15	20	16	1	215	201	133	142	8	176	65	60	111	16	5	31.25%	20	9	55.00%	0	158	274	57.66%	146	285	51.23%	105	207	50.72%	257	145	250	111	223	113
2	Lowell Devils	7	4	3	0	0	0	0	0	32	30	2	3	2	1	0	0	0	0	0	11	9	2	4	2	2	0	0	0	0	0	21	21	0	8	0.571	32	57	89	0	0	15	20	16	1	269	201	133	142	8	259	107	29	131	19	8	42.11%	12	6	50.00%	0	158	274	57.66%	146	285	51.23%	105	207	50.72%	257	145	250	111	223	113
	Total	12	5	7	0	0	0	0	0	52	57	-5	5	2	3	0	0	0	0	0	19	21	-2	7	3	4	0	0	0	0	0	33	36	-3	10	0.417	52	88	140	0	0	15	20	16	1	484	201	133	142	8	435	172	89	242	35	13	37.14%	32	15	53.13%	0	158	274	57.66%	146	285	51.23%	105	207	50.72%	257	145	250	111	223	113
	_Since Last GM Reset	12	5	7	0	0	0	0	0	52	57	-5	5	2	3	0	0	0	0	0	19	21	-2	7	3	4	0	0	0	0	0	33	36	-3	10	0.417	52	88	140	0	0	15	20	16	1	484	201	133	142	8	435	172	89	242	35	13	37.14%	32	15	53.13%	0	158	274	57.66%	146	285	51.23%	105	207	50.72%	257	145	250	111	223	113
	_Vs Conference	12	5	7	0	0	0	0	0	52	57	-5	5	2	3	0	0	0	0	0	19	21	-2	7	3	4	0	0	0	0	0	33	36	-3	10	0.417	52	88	140	0	0	15	20	16	1	484	201	133	142	8	435	172	89	242	35	13	37.14%	32	15	53.13%	0	158	274	57.66%	146	285	51.23%	105	207	50.72%	257	145	250	111	223	113

			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
12	10	L2	52	88	140	484	435	172	89	242	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	5	7	0	0	0	0	52	57

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	3	0	0	0	0	19	21

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	33	36

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	5	1	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
35	13	37.14%	32	15	53.13%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
201	133	142	8	15	20	16	1

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
158	274	57.66%	146	285	51.23%	105	207	50.72%

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
257	145	250	111	223	113

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	Lien
1 - 2019-10-04	6	Binghampton Senators	4	Lowell Devils	8	L		Sommaire du Match
2 - 2019-10-05	14	Binghampton Senators	7	Lowell Devils	3	W		Sommaire du Match
3 - 2019-10-06	22	Lowell Devils	3	Binghampton Senators	1	L		Sommaire du Match
4 - 2019-10-07	30	Lowell Devils	3	Binghampton Senators	5	W		Sommaire du Match
5 - 2019-10-08	38	Binghampton Senators	4	Lowell Devils	6	L		Sommaire du Match
6 - 2019-10-09	46	Lowell Devils	3	Binghampton Senators	5	W		Sommaire du Match
7 - 2019-10-10	54	Binghampton Senators	6	Lowell Devils	4	W		Sommaire du Match
8 - 2019-10-11	59	Binghampton Senators	4	Lake Erie Monsters	3	W	X	Sommaire du Match
9 - 2019-10-12	63	Binghampton Senators	5	Lake Erie Monsters	7	L		Sommaire du Match
10 - 2019-10-13	67	Lake Erie Monsters	6	Binghampton Senators	5	L	X	Sommaire du Match
11 - 2019-10-14	71	Lake Erie Monsters	6	Binghampton Senators	3	L		Sommaire du Match
12 - 2019-10-15	75	Binghampton Senators	3	Lake Erie Monsters	5	L		Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	9,275	4,635
Assistance PCT	92.75%	92.70%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
36	2782 - 92.73%	117,457$	587,284$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	2,095,813$	2,080,813$	0$

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

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

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Saison Régulière
2016	82	39	30	0	3	7	1	2	406	396	10	41	20	15	0	1	4	0	1	200	197	3	41	19	15	0	2	3	1	1	206	199	7	78	406	698	1104	0	1	83	172	147	4	3344	1035	1125	1161	38	2766	944	1400	1431	208	95	45.67%	192	75	60.94%	5	939	1988	47.23%	714	1589	44.93%	745	1576	47.27%	1783	1075	1636	778	1524	710
2017	82	30	40	0	3	5	1	3	359	390	-31	41	14	18	0	3	2	1	3	179	191	-12	41	16	22	0	0	3	0	0	180	199	-19	60	359	583	942	3	0	85	143	127	5	2953	872	1057	1018	16	2878	958	1751	1830	255	71	27.84%	239	92	61.51%	6	939	1819	51.62%	856	1670	51.26%	783	1503	52.10%	1786	987	1606	760	1566	797
2018	82	37	33	0	2	8	1	1	380	344	36	41	16	17	0	2	5	0	1	185	174	11	41	21	16	0	0	3	1	0	195	170	25	74	380	628	1008	1	1	87	163	127	4	2809	821	1014	966	17	2865	921	1186	1803	227	77	33.92%	178	65	63.48%	3	866	1665	52.01%	721	1515	47.59%	679	1443	47.05%	1681	898	1661	767	1596	799
2019	82	36	31	0	3	7	3	2	394	348	46	41	22	16	0	0	1	2	0	234	168	66	41	14	15	0	3	6	1	2	160	180	-20	72	394	632	1026	1	1	97	151	140	9	3033	897	1110	992	56	3046	1051	945	1790	209	82	39.23%	199	69	65.33%	12	916	1659	55.21%	941	1818	51.76%	793	1533	51.73%	1691	921	1722	760	1547	779
Total Saison Régulière	328	142	134	0	11	27	6	8	1539	1478	61	164	72	66	0	6	12	3	5	798	730	68	164	70	68	0	5	15	3	3	741	748	-7	284	1539	2541	4080	5	3	352	629	541	22	12139	3625	4306	4137	127	11555	3874	5282	6854	899	325	36.15%	808	301	62.75%	26	3660	7131	51.33%	3232	6592	49.03%	3000	6055	49.55%	6943	3881	6627	3065	6234	3086
2019	12	5	7	0	0	0	0	0	52	57	-5	5	2	3	0	0	0	0	0	19	21	-2	7	3	4	0	0	0	0	0	33	36	-3	10	52	88	140	0	0	15	20	16	1	484	201	133	142	8	435	172	89	242	35	13	37.14%	32	15	53.13%	0	158	274	57.66%	146	285	51.23%	105	207	50.72%	257	145	250	111	223	113
Total Séries	12	5	7	0	0	0	0	0	52	57	-5	5	2	3	0	0	0	0	0	19	21	-2	7	3	4	0	0	0	0	0	33	36	-3	10	52	88	140	0	0	15	20	16	1	484	201	133	142	8	435	172	89	242	35	13	37.14%	32	15	53.13%	0	158	274	57.66%	146	285	51.23%	105	207	50.72%	257	145	250	111	223	113