NorthEastern Hockey League

Troy Indians
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Dernière Transactions
Blessure/Suspension
Stats d'équipe en Carrière

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	#	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	Liam Vangelder	22	X				100.00	13	1	99	67	76	99	68	99	89	99	99	93	97	99	99	18	78	83	0
2	Kyle Ciskowski	0		X			100.00	1	1	99	58	80	92	73	99	55	99	99	90	81	99	99	4	82	81	0
3	Kyle Parker	17		X			100.00	99	34	32	59	74	42	42	98	94	98	97	87	91	99	99	1	54	79	0
4	David Bernier	0			X		99.50	62	8	88	65	74	32	46	98	81	95	92	69	77	99	99	17	65	75	0
5	Markka Virtanen (R)	0			X		100.00	71	33	58	74	53	80	40	84	73	72	98	94	50	72	86	81	48	74	0
6	Donald Hodson	18	X				100.00	1	1	99	56	86	51	58	97	99	97	91	54	81	99	99	35	65	73	0
7	Lee Behme	0		X			100.00	79	24	47	65	77	79	88	91	49	83	74	50	70	99	91	37	69	72	0
8	Geoff Bordonaro	56			X		100.00	7	1	99	65	75	75	73	88	1	92	90	43	50	99	92	20	72	71	0
9	Jayson Henley	52		X			100.00	16	1	99	68	70	73	75	87	61	85	64	65	70	99	99	36	61	71	0
10	Brock Hedglin	0	X				100.00	76	14	75	73	77	95	70	85	78	72	97	38	70	96	49	46	40	71	0
11	Dion Goede	0			X		100.00	71	12	84	64	77	73	69	76	51	79	92	43	74	99	74	15	64	70	0
12	Nick Kantner	51	X				100.00	15	1	99	65	77	76	72	85	35	85	92	51	50	99	65	24	31	70	0
13	Jim Ferioli	6				X	100.00	99	30	47	54	81	95	93	56	45	52	57	83	50	99	89	1	68	73	0
14	Ian Gattison	0				X	100.00	98	25	59	73	73	87	69	47	45	43	49	84	55	99	84	18	59	71	0
15	Macklin Conlisk	62				X	100.00	35	15	99	69	81	84	87	62	28	42	61	89	70	75	89	54	65	70	0
16	Peter Baccari (R)	0				X	100.00	72	40	15	80	55	83	68	83	22	82	93	48	50	84	66	38	54	69	0
17	Justin Shuford	0				X	100.00	28	7	99	76	76	69	74	73	68	71	93	71	70	99	62	46	60	69	0
18	Luke Finley	0				X	100.00	99	33	17	74	78	74	55	85	57	86	63	45	50	84	80	53	68	69	0
Rayé
1	Bryant Kofahl	24		X			100.00	6	1	99	77	71	77	78	76	73	68	90	60	70	99	97	44	21	70	0
2	Kelly Boehnlein	26			X		100.00	1	1	99	58	82	58	71	86	58	74	89	59	50	99	99	18	21	69	0
3	John Fahey	0			X		100.00	1	1	99	58	86	43	60	83	80	76	80	75	72	83	99	35	19	68	0
4	Daniel Venzon	5				X	60.61	99	47	1	71	67	87	53	90	85	85	81	81	70	99	99	46	48	76	0
5	Rob Poirer	42				X	100.00	1	1	99	65	81	83	88	63	35	52	39	95	50	99	87	6	19	68	0

	MOYENNE D'ÉQUIPE					98.27	46	14	74	67	75	74	68	82	59	78	82	68	66	95	87	30	54	72

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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	Dan Federici	99.00	73	94	63	77	71	95	99	92	98	41	79	96	96	43	71	82	0
2	Tyler Abshear	100.00	79	83	67	82	77	91	83	99	65	72	61	99	96	65	69	81	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	76	89	65	80	74	93	91	96	82	57	70	98	96	54	70	82

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
George Rinaldi	89	61	78	73	99	90	50	CAN	61	2	750,000$

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	FL	FT	S1	S2	S3

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 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

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	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial
Brock Hedglin	Albany Indians	C	24	11/22/1994	No	187 Lbs	6 ft3	No	No	No	4	Avec Restriction	Pro & Farm	600,000$	600,000$	600,000$	No
Bryant Kofahl	Albany Indians	LW	25	9/3/1993	No	175 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	525,000$	525,000$	525,000$	No
Dan Federici	Albany Indians	G	25	9/14/1993	No	197 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	550,000$	550,000$	550,000$	No
Daniel Venzon (Sur la Masse Salariale)	Albany Indians	D	21	5/6/1997	No	189 Lbs	6 ft2	No	No	No	1	Contrat d'Entrée	Pro & Farm	561,538$	561,538$	561,538$	No
David Bernier	Albany Indians	RW	37	1/5/1982	No	200 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	1,700,000$	1,700,000$	1,700,000$	No
Dion Goede	Albany Indians	RW	27	4/13/1991	No	207 Lbs	6 ft4	No	No	No	1	Avec Restriction	Pro & Farm	477,500$	477,500$	477,500$	No
Donald Hodson	Albany Indians	C	31	10/14/1987	No	253 Lbs	6 ft6	No	No	No	1	Sans Restriction	Pro & Farm	775,000$	775,000$	775,000$	No
Geoff Bordonaro	Albany Indians	RW	27	9/26/1991	No	197 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	400,000$	400,000$	400,000$	No
Ian Gattison	Albany Indians	D	28	3/24/1990	No	183 Lbs	6 ft3	No	No	No	4	Sans Restriction	Pro & Farm	1,450,000$	1,450,000$	1,450,000$	No
Jayson Henley	Albany Indians	LW	24	9/2/1994	No	183 Lbs	5 ft9	No	No	No	3	Avec Restriction	Pro & Farm	525,000$	525,000$	525,000$	No
Jim Ferioli	Albany Indians	D	30	7/17/1988	No	241 Lbs	6 ft2	No	No	No	5	Sans Restriction	Pro & Farm	2,050,000$	2,050,000$	2,050,000$	No
John Fahey	Albany Indians	RW	32	10/24/1986	No	246 Lbs	6 ft7	No	No	No	2	Sans Restriction	Pro & Farm	527,500$	527,500$	527,500$	No
Justin Shuford	Albany Indians	D	23	6/14/1995	No	183 Lbs	6 ft5	No	No	No	3	Avec Restriction	Pro & Farm	425,000$	425,000$	425,000$	No
Kelly Boehnlein	Albany Indians	RW	30	1/26/1989	No	231 Lbs	6 ft4	No	No	No	3	Sans Restriction	Pro & Farm	900,000$	900,000$	900,000$	No
Kyle Ciskowski	Albany Indians	LW	31	2/9/1988	No	226 Lbs	6 ft3	No	No	No	6	Sans Restriction	Pro & Farm	3,100,000$	3,100,000$	3,100,000$	No
Kyle Parker	Albany Indians	LW	38	11/18/1980	No	214 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No
Lee Behme	Albany Indians	LW	23	9/20/1995	No	203 Lbs	6 ft0	No	No	No	5	Avec Restriction	Pro & Farm	515,000$	515,000$	515,000$	No
Liam Vangelder	Albany Indians	C	28	5/26/1990	No	203 Lbs	6 ft4	No	No	No	2	Sans Restriction	Pro & Farm	2,200,000$	2,200,000$	2,200,000$	No
Luke Finley	Albany Indians	D	21	8/2/1997	No	198 Lbs	6 ft5	No	No	No	2	Contrat d'Entrée	Pro & Farm	324,543$	324,543$	324,543$	No
Macklin Conlisk	Albany Indians	D	21	11/2/1997	No	220 Lbs	6 ft10	No	No	No	2	Contrat d'Entrée	Pro & Farm	530,769$	530,769$	530,769$	No
Markka Virtanen	Albany Indians	RW	19	12/24/1999	Yes	169 Lbs	5 ft10	No	No	No	4	Contrat d'Entrée	Pro & Farm	610,577$	610,577$	610,577$	No
Nick Kantner	Albany Indians	C	25	3/23/1993	No	204 Lbs	6 ft4	No	No	No	1	Avec Restriction	Pro & Farm	355,000$	355,000$	355,000$	No
Peter Baccari	Albany Indians	D	18	5/9/2000	Yes	163 Lbs	5 ft11	No	No	No	4	Contrat d'Entrée	Pro & Farm	570,192$	570,192$	570,192$	No
Rob Poirer	Albany Indians	D	29	8/1/1989	No	215 Lbs	6 ft6	No	No	No	1	Sans Restriction	Pro & Farm	693,000$	693,000$	693,000$	No
Tyler Abshear	Albany Indians	G	24	9/14/1994	No	199 Lbs	6 ft10	No	No	No	3	Avec Restriction	Pro & Farm	600,000$	600,000$	600,000$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
25	26.44	203 Lbs	6 ft3	2.56	918,625$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
22,965,619$	16,003,581$	11,345,769$	8,895,769$	5,665,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Kyle Ciskowski	Liam Vangelder	David Bernier	40	1	2	2
2	Kyle Parker	Donald Hodson	Markka Virtanen	30	1	2	2
3	Lee Behme	Brock Hedglin	Geoff Bordonaro	20	1	2	2
4	Jayson Henley	Nick Kantner	Dion Goede	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jim Ferioli	Ian Gattison	40	1	2	2
2	Macklin Conlisk	Luke Finley	30	1	2	2
3	Peter Baccari	Justin Shuford	20	1	2	2
4	Jim Ferioli	Ian Gattison	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Kyle Ciskowski	Liam Vangelder	David Bernier	60	1	2	2
2	Kyle Parker	Donald Hodson	Markka Virtanen	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jim Ferioli	Ian Gattison	60	1	2	2
2	Macklin Conlisk	Luke Finley	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Liam Vangelder	Kyle Ciskowski	60	1	2	2
2	Kyle Parker	David Bernier	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jim Ferioli	Ian Gattison	60	1	2	2
2	Macklin Conlisk	Luke Finley	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Liam Vangelder	60	1	2	2	Jim Ferioli	Ian Gattison	60	1	2	2
2	Kyle Ciskowski	40	1	2	2	Macklin Conlisk	Luke Finley	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Liam Vangelder	Kyle Ciskowski	60	1	2	2
2	Kyle Parker	David Bernier	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jim Ferioli	Ian Gattison	60	1	2	2
2	Macklin Conlisk	Luke Finley	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Kyle Ciskowski	Liam Vangelder	David Bernier	Jim Ferioli	Ian Gattison

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Kyle Ciskowski	Liam Vangelder	David Bernier	Jim Ferioli	Ian Gattison

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Lee Behme, Brock Hedglin, Jayson Henley	Lee Behme, Brock Hedglin	Jayson Henley

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Peter Baccari, Justin Shuford, Macklin Conlisk	Peter Baccari	Justin Shuford, Macklin Conlisk

Tirs de Pénalité
Liam Vangelder, Kyle Ciskowski, Kyle Parker, David Bernier, Markka Virtanen

Gardien
#1 : Tyler Abshear, #2 : Dan Federici

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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			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
0	0	N/A	0	0	0	0	0	0	0	0	0	0

Tous les Matchs
GP	W	L	OTW	OTL	T	GF	GA
0	0	0	0	0	0	0	0

Matchs locaux
GP	W	L	OTW	OTL	T	GF	GA
0	0	0	0	0	0	0	0

Matchs Éxtérieurs
GP	W	L	OTW	OTL	T	GF	GA
0	0	0	0	0	0	0	0

Derniers 10 Matchs
W	L	OTW	OTL	T
0	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
0	0	0.00%	0	0	0.00%	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
0	0	0	0	0	0	0	0

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
0	0	0.00%	0	0	0.00%	0	0	0.00%

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
0	0	0	0	0	0

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

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	3167	1775	1395	1475	700
Prix des Billets	78	64	50	38	180
Assistance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
40	0 - 0.00%	0$	0$	8512	120

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	22,404,081$	22,404,081$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	530,472$	24	1

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	14	0$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	29,187,004$	29,187,004$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Kyle Ciskowski	AGE:31	PO:4	OV:81
Kyle Parker	AGE:38	PO:1	OV:79
Lee Behme	AGE:23	PO:37	OV:72
Jayson Henley	AGE:24	PO:36	OV:71
Bryant Kofahl	AGE:25	PO:44	OV:70
Logan Maxwell	AGE:20	PO:43	OV:70
Brock Wedgewood	AGE:25	PO:18	OV:70
*Garrett DeSantis	AGE:19	PO:44	OV:63
Michel Boucher	AGE:22	PO:50	OV:60
Donald Hardy	AGE:22	PO:47	OV:60
Larry Perrins	AGE:21	PO:51	OV:59

Liam Vangelder	AGE:28	PO:18	OV:83
Donald Hodson	AGE:31	PO:35	OV:73
Brock Hedglin	AGE:24	PO:46	OV:71
Charlie Pietrzyk	AGE:20	PO:60	OV:70
Nick Kantner	AGE:25	PO:24	OV:70
Reid Ellard	AGE:24	PO:45	OV:65
Nick Schanno	AGE:22	PO:53	OV:62
Luke Odden	AGE:19	PO:44	OV:61
Heath Robak	AGE:20	PO:71	OV:60
*Jayson Wexler	AGE:18	PO:53	OV:60
Ben Childress	AGE:24	PO:42	OV:59
*Justin Zillman	AGE:18	PO:61	OV:56

David Bernier	AGE:37	PO:17	OV:75
*Markka Virtanen	AGE:19	PO:81	OV:74
Geoff Bordonaro	AGE:27	PO:20	OV:71
Dion Goede	AGE:27	PO:15	OV:70
Kelly Boehnlein	AGE:30	PO:18	OV:69
Tim Valerio	AGE:19	PO:51	OV:68
John Fahey	AGE:32	PO:35	OV:68
Loren Rempe	AGE:21	PO:43	OV:67
Colby Verjan	AGE:21	PO:48	OV:64
Tommy Ryan	AGE:27	PO:44	OV:62
Pasquale DeClerc	AGE:22	PO:48	OV:58
Frederic Doucet	AGE:20	PO:47	OV:56

Défense #1

Défense #2

Gardien

Daniel Venzon	AGE:21	PO:46	OV:76
Jim Ferioli	AGE:30	PO:1	OV:73
Ian Gattison	AGE:28	PO:18	OV:71
Macklin Conlisk	AGE:21	PO:54	OV:70
Luke Finley	AGE:21	PO:53	OV:69
Justin Shuford	AGE:23	PO:46	OV:69
*Peter Baccari	AGE:18	PO:38	OV:69
Erick Risser	AGE:26	PO:31	OV:69
Rob Poirer	AGE:29	PO:6	OV:68

Cary Bivens	AGE:21	PO:55	OV:67
Dave Hannum	AGE:26	PO:17	OV:67
Jay Butler	AGE:20	PO:46	OV:61
Alan Rieken	AGE:19	PO:41	OV:61
Eli Krawczyk	AGE:21	PO:60	OV:59
*Ryan Molen	AGE:19	PO:57	OV:59
Grayson Wintle	AGE:24	PO:52	OV:59
Dylan Montroy	AGE:21	PO:50	OV:58

Dan Federici	AGE:25	PO:43	OV:82
Tyler Abshear	AGE:24	PO:65	OV:81
Darryl Haist	AGE:27	PO:40	OV:76
Carey Nack	AGE:21	PO:59	OV:73
*Phillip Warrington	AGE:21	PO:50	OV:71
Luke Straton	AGE:29	PO:21	OV:71
Devin DeGasperis	AGE:30	PO:47	OV:70

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total	Information	Lien

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
17	Alb		Alb	Alb	Alb	Bal Alb	Alb	Alb
18	Alb	Alb	Alb	Alb	Alb	Alb	Alb	Alb
19	Alb	Alb	Alb	Alb	Alb	Alb	Alb	Alb
20	Alb	Alb	Alb	Alb	Alb	Alb	Alb	Alb
21	Alb	Alb	Alb	Alb	Alb	Alb	Alb	Alb

[9/2/2019 1:31:47 PM] - Troy Indians didn't make playoff for year 16.
[9/2/2019 1:31:47 PM] - Albany Indians didn't make playoff for year 16.
[8/30/2019 11:24:47 PM] - TRADE : From Baltimore Tigers to Albany Indians : Y:17-RND:6-Bal.
[8/30/2019 11:24:47 PM] - TRADE : From Albany Indians to Baltimore Tigers : Tim McCaskey (62).
[7/13/2019 10:26:28 AM] - Next Year Contract : Donald Hodson signed with Albany Indians for $1,600,000 for 3 year(s) with $0 in bonus.
[7/5/2019 6:52:58 PM] - TRADE : From Portland Wolves to Albany Indians : David Bernier (75), Jay Butler (61).
[7/5/2019 6:52:58 PM] - TRADE : From Albany Indians to Portland Wolves : Ben Rothenberg (72), Phillipe Rivie (69), Kenny Millwood (62), Y:17-RND:2-Alb.
[7/3/2019 9:07:45 PM] - TRADE : From Albany Indians to Lehigh Valley Rockets : Chad Lazarczyk (66), Corey McConnell (65), Wayne Lesley (60).
[7/3/2019 9:07:45 PM] - TRADE : From Lehigh Valley Rockets to Albany Indians : Reid Ellard (65), Colby Verjan (64).
[6/18/2019 9:24:30 PM] - TRADE : From Worcester Plainsmen to Albany Indians : Brock Wedgewood (69), Dave Hannum (66).
[6/18/2019 9:24:30 PM] - TRADE : From Albany Indians to Worcester Plainsmen : Reed Kesterson (68), Larson Reyer (67).
[6/13/2019 8:31:55 PM] - Anthony Crandell was released.
[6/13/2019 8:31:55 PM] - Albany Indians paid $0 to release Anthony Crandell.
[6/13/2019 8:31:51 PM] - Jimmy Roeker was released.
[6/13/2019 8:31:51 PM] - Albany Indians paid $0 to release Jimmy Roeker.
[6/13/2019 8:31:46 PM] - Joel Downie was released.
[6/13/2019 8:31:46 PM] - Albany Indians paid $0 to release Joel Downie.
[6/13/2019 8:31:42 PM] - Anthony Herbert was released.
[6/13/2019 8:31:42 PM] - Albany Indians paid $0 to release Anthony Herbert.
[6/13/2019 8:31:38 PM] - Kevin Tuccillo was released.
[6/13/2019 8:31:38 PM] - Albany Indians paid $0 to release Kevin Tuccillo.
[6/13/2019 8:31:34 PM] - Ross Nieder was released.
[6/13/2019 8:31:34 PM] - Albany Indians paid $0 to release Ross Nieder.
[6/10/2019 9:50:06 PM] - Ray Judd was released.
[6/10/2019 9:50:06 PM] - Tom Wake was released.
[6/9/2019 11:27:37 AM] - Luke Straton signed with Albany Indians for $250,000 for 1 year(s).
[6/9/2019 11:27:37 AM] - Luke Straton was added to Albany Indians.
[6/7/2019 10:37:25 PM] - Tommy Ryan signed with Albany Indians for $325,000 for 1 year(s).
[6/7/2019 10:37:25 PM] - Tommy Ryan was added to Albany Indians.
[6/7/2019 10:36:41 PM] - John Fahey signed with Albany Indians for $527,500 for 2 year(s).
[6/7/2019 10:36:41 PM] - John Fahey was added to Albany Indians.
[6/2/2019 7:00:13 PM] - Reed Kesterson signed with Albany Indians for $465,500 for 1 year(s).
[6/2/2019 7:00:13 PM] - Reed Kesterson was added to Albany Indians.
[6/2/2019 7:00:00 PM] - Chad Lazarczyk signed with Albany Indians for $400,000 for 1 year(s).
[6/2/2019 7:00:00 PM] - Chad Lazarczyk was added to Albany Indians.
[6/2/2019 6:59:46 PM] - Dion Goede signed with Albany Indians for $477,500 for 1 year(s).
[6/2/2019 6:59:46 PM] - Dion Goede was added to Albany Indians.
[6/2/2019 6:59:31 PM] - Phillipe Rivie signed with Albany Indians for $625,000 for 1 year(s).
[6/2/2019 6:59:31 PM] - Phillipe Rivie was added to Albany Indians.
[6/2/2019 2:59:45 PM] - Justin Zillman was added to Albany Indians.

[9/2/2019 1:31:47 PM] Darryl Haist from Troy Indians is back from Exhaustion.
[9/2/2019 1:26:50 PM] Troy Indians lines for next game are empty. Current rosters/lines are not erased.
[9/2/2019 1:26:50 PM] Darryl Haist from Troy Indians injured (Exhaustion)
[9/2/2019 1:26:48 PM] Troy Indians lines for next game are empty. Current rosters/lines are not erased.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Troy Indians.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Albany Indians.

Daniel Venzon est dehors pour 1 mois à cause de Sprained Left Ankle Injury.
Cary Bivens est dehors pour 3 semaines à cause de Dislocated Patella Injury.

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
16	80	31	33	9	3	4	0	0	246	239	7	40	13	17	7	1	2	0	0	121	119	2	40	18	16	2	2	2	0	0	125	120	5	71	246	411	657	1	0	86	77	80	3	2479	945	825	693	16	2509	842	690	1503	384	55	14.32%	314	49	84.39%	9	1089	2014	54.07%	1113	1992	55.87%	637	1174	54.26%	1720	976	1741	751	1395	701
07-08	80	30	36	7	1	6	0	0	240	249	-9	40	15	18	4	0	3	0	0	106	119	-13	40	15	18	3	1	3	0	0	134	130	4	67	240	403	643	0	2	79	80	80	1	2535	921	772	808	34	2503	831	3167	2034	297	49	16.50%	389	65	83.29%	11	962	1993	48.27%	953	1998	47.70%	625	1372	45.55%	1617	808	1647	814	1582	775
08-09	80	38	38	1	1	2	0	0	293	293	0	40	21	18	0	1	0	0	0	163	154	9	40	17	20	1	0	2	0	0	130	139	-9	77	293	499	792	1	3	103	100	89	1	2857	1035	981	838	3	2691	905	1220	1941	262	48	18.32%	296	50	83.11%	7	1109	2069	53.60%	1026	1986	51.66%	779	1414	55.09%	1711	942	3463	1652	1483	745
09-10	80	37	29	10	1	3	0	0	256	247	9	40	20	13	4	0	3	0	0	120	119	1	40	17	16	6	1	0	0	0	136	128	8	84	256	428	684	2	0	91	98	66	1	2765	1029	937	786	13	2701	933	1269	1934	299	42	14.05%	312	39	87.50%	7	1077	2035	52.92%	1115	2050	54.39%	736	1375	53.53%	1726	946	5304	2504	1494	755
10-11	80	42	23	9	4	2	0	0	332	285	47	40	26	8	4	0	2	0	0	183	133	50	40	16	15	5	4	0	0	0	149	152	-3	93	332	558	890	3	0	106	101	121	4	2859	970	963	904	22	2740	860	760	1779	287	48	16.72%	260	42	83.85%	3	1155	2192	52.69%	1047	2020	51.83%	751	1316	57.07%	1764	998	1647	733	1453	740
11-12	80	30	38	8	4	0	0	0	268	282	-14	40	15	17	6	2	0	0	0	130	130	0	40	15	21	2	2	0	0	0	138	152	-14	68	268	456	724	2	0	98	77	89	4	2608	935	851	808	14	2614	865	662	1884	321	61	19.00%	322	64	80.12%	9	1104	2036	54.22%	1052	1970	53.40%	628	1184	53.04%	1725	946	1660	759	1464	744
12-13	80	32	34	6	3	5	0	0	246	256	-10	40	17	16	2	3	2	0	0	121	111	10	40	15	18	4	0	3	0	0	125	145	-20	70	246	418	664	3	0	79	74	90	3	2790	1044	856	882	8	2656	864	679	1755	279	45	16.13%	307	50	83.71%	6	1093	2124	51.46%	956	1910	50.05%	613	1187	51.64%	1761	1003	1666	736	1417	713
13-14	80	43	26	6	4	1	0	0	295	275	20	40	21	13	3	2	1	0	0	151	145	6	40	22	13	3	2	0	0	0	144	130	14	92	295	499	794	0	1	101	92	98	4	2820	1022	912	871	15	2589	848	753	1561	379	70	18.47%	355	63	82.25%	5	1151	2243	51.32%	1098	1986	55.29%	625	1195	52.30%	1742	982	1688	757	1408	696
14-15	80	31	30	13	2	4	0	0	262	261	1	40	15	17	7	0	1	0	0	118	118	0	40	16	13	6	2	3	0	0	144	143	1	75	262	450	712	0	1	92	86	82	2	2809	1060	900	816	33	2738	926	738	1489	364	54	14.84%	323	42	87.00%	2	1140	2201	51.79%	1074	2081	51.61%	610	1197	50.96%	1741	992	1720	760	1416	703
15-16	80	45	21	6	4	4	0	0	324	267	57	40	21	12	3	2	2	0	0	162	139	23	40	24	9	3	2	2	0	0	162	128	34	96	324	550	874	4	1	109	104	107	4	2921	1099	964	837	21	2672	890	769	1625	403	72	17.87%	322	60	81.37%	3	1168	2236	52.24%	1041	1948	53.44%	695	1292	53.79%	1775	1030	1676	742	1389	700
16-17	80	40	27	9	2	2	0	0	275	247	28	40	19	14	5	1	1	0	0	140	130	10	40	21	13	4	1	1	0	0	135	117	18	89	275	480	755	3	1	86	96	91	2	2576	919	879	763	15	2478	824	797	1544	337	62	18.40%	261	48	81.61%	2	1074	2045	52.52%	1023	1917	53.36%	622	1207	51.53%	1760	1023	1693	724	1397	705
17-18	80	33	24	15	4	4	0	0	263	241	22	40	20	10	4	3	3	0	0	142	116	26	40	13	14	11	1	1	0	0	121	125	-4	81	263	452	715	2	0	79	82	98	4	2534	914	818	781	21	2504	790	599	1530	334	55	16.47%	208	28	86.54%	1	1102	2040	54.02%	1007	1869	53.88%	659	1180	55.85%	1744	1011	1727	728	1413	710
Total Saison Régulière	960	432	359	99	33	37	0	0	3300	3142	158	480	223	173	49	15	20	0	0	1657	1533	124	480	209	186	50	18	17	0	0	1643	1609	34	963	3300	5604	8904	21	9	1109	1067	1091	33	32553	11893	10658	9787	215	31395	10378	12103	20579	3946	661	16.75%	3669	600	83.65%	65	13224	25228	52.42%	12505	23727	52.70%	7980	15093	52.87%	20791	11662	25638	11666	17316	8692