NorthEastern Hockey League - Pittsburgh Yellow Jackets

Johnstown Yellow Jackets
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Blessure/Suspension
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	Sam Brauer	7		X			100.00	91	30	39	80	72	93	50	92	73	84	99	94	70	84	98	69	83	81	0
2	Ralph Valles	23			X		98.33	1	1	99	75	72	58	53	99	92	99	94	41	45	99	99	31	78	74	0
3	Jayson Mongeau	0		X			100.00	99	37	24	66	73	45	37	76	68	89	93	78	95	99	88	34	84	73	0
4	Avery Lajoie	24	X				100.00	39	17	99	68	77	88	75	70	67	65	91	73	70	99	94	59	85	72	0
5	Jack Swartz	0	X				99.50	1	1	99	59	80	62	74	99	84	87	84	56	50	99	93	40	83	72	0
6	Dan Rancourt	0		X			100.00	8	1	99	61	79	38	51	93	89	94	94	39	78	99	99	18	64	70	0
7	Pat Plyler	0			X		100.00	33	1	99	73	73	62	54	80	44	83	98	30	83	99	99	38	83	70	0
8	Doug Heigl	0	X				100.00	99	33	37	57	92	40	26	75	59	79	82	69	99	99	99	15	33	69	0
9	Heath Speier	37	X				100.00	60	17	77	67	78	74	65	80	66	85	89	29	73	99	72	27	70	69	0
10	Paul Vickers	65		X			100.00	48	21	99	66	77	79	79	75	39	61	94	54	70	87	69	42	85	69	0
11	John Silvis	0			X		100.00	4	1	99	63	78	40	41	71	89	75	94	67	99	99	73	6	60	67	0
12	Caleb Harley	58			X		100.00	70	27	13	79	66	81	61	81	28	80	61	58	50	69	74	38	87	67	0
13	Sebastian Boore	22				X	98.00	1	1	99	57	82	68	68	98	46	83	87	86	59	99	99	3	86	72	0
14	Martin Klimek	0				X	100.00	96	28	24	76	75	78	70	82	26	86	90	47	70	99	66	50	86	72	0
15	Neil Mabra	64				X	100.00	99	30	8	63	86	78	82	60	23	73	55	75	70	81	77	39	85	71	0
16	Nathaniel Derrigo	0				X	100.00	81	5	99	63	72	29	48	98	77	85	93	52	83	99	99	29	86	70	0
17	Paul Dreher	0				X	100.00	99	33	32	60	80	28	40	89	84	77	83	66	83	99	99	28	83	69	0
18	Dean Cardozo	0				X	100.00	28	2	99	59	80	66	70	57	16	47	48	96	50	99	99	20	55	68	0
Rayé
1	Evan McNair	77			X		77.65	1	1	99	62	80	52	41	99	91	99	99	77	89	99	99	13	74	77	0
2	Timothy Jett	28		X			81.93	34	1	99	65	76	28	28	81	86	94	89	72	92	99	99	33	73	71	0
3	Ian Vidulich	0		X			100.00	1	1	99	61	82	12	37	93	95	86	96	61	50	99	99	16	35	69	0
4	Damian Lowrie	0	X				100.00	74	11	93	74	71	76	73	71	49	62	84	47	70	99	99	17	81	69	0
5	Evan Musgrave	0	X				100.00	1	1	99	64	77	33	50	81	79	88	82	63	71	99	99	27	20	68	0
6	Allen Schooley	0		X			100.00	99	28	48	66	72	47	56	85	81	55	87	60	99	99	99	21	19	68	0
7	Scott Moyers	0	X				100.00	54	5	98	54	82	51	67	85	77	68	87	48	93	99	99	28	63	68	0
8	Peter Wolchesky	0				X	100.00	97	27	52	55	86	48	69	45	27	50	32	90	50	99	99	1	69	68	0
9	Morgan Bruington	0				X	86.24	41	1	99	76	74	52	46	58	27	58	46	92	50	99	88	34	34	67	0
10	Max Beach	0				X	100.00	38	1	99	61	84	86	82	55	61	39	34	91	50	90	78	13	33	67	0

	MOYENNE D'ÉQUIPE					97.92	50	13	76	65	78	57	57	80	62	76	81	65	72	96	91	28	67	70

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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	Richard Messer	100.00	59	53	78	82	73	98	98	99	98	71	74	84	99	42	85	83	0
2	Ben Lampitt	100.00	68	67	66	73	70	93	82	99	99	58	73	68	82	68	91	78	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	64	60	72	78	72	96	90	99	99	65	74	76	91	55	88	81

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jeff Daniels	78	71	75	88	75	65	55	USA	42	2	675,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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
Allen Schooley	Pittsburgh Yellow Jackets	LW	32	5/6/1986	No	191 Lbs	5 ft11	No	No	No	2	Sans Restriction	Pro & Farm	525,000$	525,000$	525,000$	No
Avery Lajoie	Pittsburgh Yellow Jackets	C	21	10/5/1997	No	214 Lbs	6 ft8	No	No	No	2	Contrat d'Entrée	Pro & Farm	568,269$	568,269$	568,269$	No
Ben Lampitt	Pittsburgh Yellow Jackets	G	22	9/5/1996	No	191 Lbs	5 ft8	No	No	No	1	Contrat d'Entrée	Pro & Farm	225,999$	225,999$	225,999$	No
Caleb Harley	Pittsburgh Yellow Jackets	RW	19	6/11/1999	No	175 Lbs	6 ft3	No	No	No	3	Contrat d'Entrée	Pro & Farm	567,308$	567,308$	567,308$	No
Damian Lowrie	Pittsburgh Yellow Jackets	C	25	2/26/1993	No	175 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	480,000$	480,000$	480,000$	No
Dan Rancourt	Pittsburgh Yellow Jackets	LW	36	9/26/1982	No	216 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	624,000$	624,000$	624,000$	No
Dean Cardozo	Pittsburgh Yellow Jackets	D	28	3/22/1990	No	226 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	470,000$	470,000$	470,000$	No
Doug Heigl	Pittsburgh Yellow Jackets	C	29	12/15/1989	No	263 Lbs	7 ft1	No	No	No	1	Sans Restriction	Pro & Farm	450,000$	450,000$	450,000$	No
Evan McNair (Sur la Masse Salariale)	Pittsburgh Yellow Jackets	RW	30	4/13/1988	No	219 Lbs	6 ft5	No	No	No	4	Sans Restriction	Pro & Farm	1,900,000$	1,900,000$	1,900,000$	No
Evan Musgrave	Pittsburgh Yellow Jackets	C	35	6/22/1983	No	207 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	525,000$	525,000$	525,000$	No
Heath Speier	Pittsburgh Yellow Jackets	C	27	5/3/1991	No	203 Lbs	6 ft4	No	No	No	1	Avec Restriction	Pro & Farm	450,611$	450,611$	450,611$	No
Ian Vidulich	Pittsburgh Yellow Jackets	LW	29	6/19/1989	No	227 Lbs	6 ft5	No	No	No	2	Sans Restriction	Pro & Farm	580,000$	580,000$	580,000$	No
Jack Swartz	Pittsburgh Yellow Jackets	C	31	4/19/1987	No	226 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro & Farm	725,000$	725,000$	725,000$	No
Jayson Mongeau	Pittsburgh Yellow Jackets	LW	29	8/14/1989	No	195 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	1,250,000$	1,250,000$	1,250,000$	No
John Silvis	Pittsburgh Yellow Jackets	RW	27	3/28/1991	No	210 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	440,000$	440,000$	440,000$	No
Martin Klimek	Pittsburgh Yellow Jackets	D	23	9/30/1995	No	179 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	615,000$	615,000$	615,000$	No
Max Beach	Pittsburgh Yellow Jackets	D	26	12/14/1992	No	231 Lbs	6 ft7	No	No	No	1	Avec Restriction	Pro & Farm	392,500$	392,500$	392,500$	No
Morgan Bruington (Sur la Masse Salariale)	Pittsburgh Yellow Jackets	D	26	5/6/1992	No	179 Lbs	6 ft5	No	No	No	1	Avec Restriction	Pro & Farm	429,000$	429,000$	429,000$	No
Nathaniel Derrigo	Pittsburgh Yellow Jackets	D	35	9/6/1983	No	194 Lbs	5 ft9	No	No	No	2	Sans Restriction	Pro & Farm	575,000$	575,000$	575,000$	No
Neil Mabra	Pittsburgh Yellow Jackets	D	22	11/5/1996	No	233 Lbs	6 ft8	No	No	No	1	Contrat d'Entrée	Pro & Farm	338,260$	338,260$	338,260$	No
Pat Plyler	Pittsburgh Yellow Jackets	RW	27	5/14/1991	No	184 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	629,506$	629,506$	629,506$	No
Paul Dreher	Pittsburgh Yellow Jackets	D	35	4/21/1983	No	224 Lbs	6 ft4	No	No	No	2	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	No
Paul Vickers	Pittsburgh Yellow Jackets	LW	20	6/2/1998	No	210 Lbs	6 ft4	No	No	No	2	Contrat d'Entrée	Pro & Farm	318,194$	318,194$	318,194$	No
Peter Wolchesky	Pittsburgh Yellow Jackets	D	29	4/22/1989	No	248 Lbs	6 ft6	No	No	No	1	Sans Restriction	Pro & Farm	525,000$	525,000$	525,000$	No
Ralph Valles	Pittsburgh Yellow Jackets	RW	32	12/23/1986	No	177 Lbs	6 ft4	No	No	No	2	Sans Restriction	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No
Richard Messer	Pittsburgh Yellow Jackets	G	35	12/7/1983	No	227 Lbs	6 ft2	No	No	No	4	Sans Restriction	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No
Sam Brauer	Pittsburgh Yellow Jackets	LW	22	12/24/1996	No	173 Lbs	6 ft4	No	No	No	1	Contrat d'Entrée	Pro & Farm	584,615$	584,615$	584,615$	No
Scott Moyers	Pittsburgh Yellow Jackets	C	33	7/29/1985	No	240 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	500,000$	500,000$	500,000$	No
Sebastian Boore	Pittsburgh Yellow Jackets	D	30	2/20/1988	No	237 Lbs	6 ft3	No	No	No	2	Sans Restriction	Pro & Farm	1,650,000$	1,650,000$	1,650,000$	No
Timothy Jett (Sur la Masse Salariale)	Pittsburgh Yellow Jackets	LW	31	8/5/1987	No	204 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
30	28.20	209 Lbs	6 ft3	1.73	744,609$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
22,338,262$	14,003,771$	5,807,308$	3,900,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Sam Brauer	Jack Swartz	Ralph Valles	40	1	2	2
2	Jayson Mongeau	Avery Lajoie	Pat Plyler	30	1	2	2
3	Dan Rancourt	Heath Speier	Caleb Harley	20	1	2	2
4	Paul Vickers	Doug Heigl	John Silvis	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Sebastian Boore	Martin Klimek	40	1	2	2
2	Neil Mabra	Nathaniel Derrigo	30	1	2	2
3	Paul Dreher	Dean Cardozo	20	1	2	2
4	Sebastian Boore	Martin Klimek	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Sam Brauer	Jack Swartz	Ralph Valles	60	1	2	2
2	Jayson Mongeau	Avery Lajoie	Pat Plyler	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Sebastian Boore	Martin Klimek	60	1	2	2
2	Neil Mabra	Nathaniel Derrigo	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sam Brauer	Ralph Valles	60	1	2	2
2	Jayson Mongeau	Jack Swartz	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Sebastian Boore	Martin Klimek	60	1	2	2
2	Neil Mabra	Nathaniel Derrigo	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Sam Brauer	60	1	2	2	Sebastian Boore	Martin Klimek	60	1	2	2
2	Ralph Valles	40	1	2	2	Neil Mabra	Nathaniel Derrigo	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sam Brauer	Ralph Valles	60	1	2	2
2	Jayson Mongeau	Jack Swartz	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Sebastian Boore	Martin Klimek	60	1	2	2
2	Neil Mabra	Nathaniel Derrigo	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Sam Brauer	Jack Swartz	Ralph Valles	Sebastian Boore	Martin Klimek

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Sam Brauer	Jack Swartz	Ralph Valles	Sebastian Boore	Martin Klimek

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Dan Rancourt, Heath Speier, Paul Vickers	Dan Rancourt, Heath Speier	Paul Vickers

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Paul Dreher, Dean Cardozo, Neil Mabra	Paul Dreher	Dean Cardozo, Neil Mabra

Tirs de Pénalité
Sam Brauer, Ralph Valles, Jayson Mongeau, Jack Swartz, Avery Lajoie

Gardien
#1 : Richard Messer, #2 : Ben Lampitt

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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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

	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
2 - 2019-09-03	5	Rochester Lakers	-	Pittsburgh Yellow Jackets	-
4 - 2019-09-05	13	Rochester Lakers	-	Pittsburgh Yellow Jackets	-
6 - 2019-09-07	21	Pittsburgh Yellow Jackets	-	Rochester Lakers	-
8 - 2019-09-09	29	Pittsburgh Yellow Jackets	-	Rochester Lakers	-
10 - 2019-09-11	37	Rochester Lakers	-	Pittsburgh Yellow Jackets	-
12 - 2019-09-13	45	Pittsburgh Yellow Jackets	-	Rochester Lakers	-
14 - 2019-09-15	53	Rochester Lakers	-	Pittsburgh Yellow Jackets	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	4225	2500	1805	2200	1250
Prix des Billets	95	67	50	35	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$	11980	80

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	19,009,262$	19,009,262$	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$	11,450$	27	3

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$	57,642,409$	57,642,409$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Sam Brauer	AGE:22	PO:69	OV:81
Jayson Mongeau	AGE:29	PO:34	OV:73
Timothy Jett	AGE:31	PO:33	OV:71
Dan Rancourt	AGE:36	PO:18	OV:70
Paul Vickers	AGE:20	PO:42	OV:69
Ian Vidulich	AGE:29	PO:16	OV:69
Allen Schooley	AGE:32	PO:21	OV:68
Cody Wydo	AGE:27	PO:80	OV:67
Logan Duchesne	AGE:20	PO:45	OV:62
Simon Jurek	AGE:21	PO:36	OV:60
Ben Shibley	AGE:21	PO:59	OV:58
*Dana Mosseri	AGE:21	PO:67	OV:57
Brent Hurston	AGE:21	PO:53	OV:56

Avery Lajoie	AGE:21	PO:59	OV:72
Jack Swartz	AGE:31	PO:40	OV:72
Heath Speier	AGE:27	PO:27	OV:69
Damian Lowrie	AGE:25	PO:17	OV:69
Doug Heigl	AGE:29	PO:15	OV:69
Scott Moyers	AGE:33	PO:28	OV:68
Evan Musgrave	AGE:35	PO:27	OV:68
*Daniel Coady	AGE:18	PO:45	OV:67
Nathan Morea	AGE:24	PO:29	OV:67
*Trevor Storjohann	AGE:19	PO:67	OV:63
Guillaume Fredin	AGE:21	PO:44	OV:62
Clayton Barrett	AGE:21	PO:57	OV:61
Ben Thornhill	AGE:20	PO:58	OV:60
Trevor Mannon	AGE:23	PO:37	OV:58

Evan McNair	AGE:30	PO:13	OV:77
Ralph Valles	AGE:32	PO:31	OV:74
Pat Plyler	AGE:27	PO:38	OV:70
Caleb Harley	AGE:19	PO:38	OV:67
John Silvis	AGE:27	PO:6	OV:67
Bryan Gesell	AGE:20	PO:33	OV:66
Michael Billerbeck	AGE:21	PO:51	OV:61
Jeremy Stolsig	AGE:20	PO:67	OV:60
Trevor Bjelland	AGE:21	PO:42	OV:59
Jared Shoen	AGE:21	PO:58	OV:58
Martin Meldahl	AGE:22	PO:44	OV:58
Keith Lewis	AGE:21	PO:37	OV:58
Jay Demski	AGE:21	PO:63	OV:57

Défense #1

Défense #2

Gardien

Martin Klimek	AGE:23	PO:50	OV:72
Sebastian Boore	AGE:30	PO:3	OV:72
Neil Mabra	AGE:22	PO:39	OV:71
Nathaniel Derrigo	AGE:35	PO:29	OV:70
Paul Dreher	AGE:35	PO:28	OV:69
Dean Cardozo	AGE:28	PO:20	OV:68
Peter Wolchesky	AGE:29	PO:1	OV:68
Morgan Bruington	AGE:26	PO:34	OV:67
Max Beach	AGE:26	PO:13	OV:67
Sam Bendle	AGE:20	PO:68	OV:65

*Carson Gatt	AGE:22	PO:64	OV:65
Anton Jenness	AGE:20	PO:44	OV:65
Cody Savinon	AGE:19	PO:53	OV:64
Taylor Richart	AGE:26	PO:33	OV:63
Brad Walters	AGE:20	PO:65	OV:60
*Boyd Gillies	AGE:19	PO:65	OV:60
Hunter Strahan	AGE:20	PO:52	OV:60
David Ryan	AGE:24	PO:52	OV:59
Lucas Eichele	AGE:22	PO:46	OV:58

Richard Messer	AGE:35	PO:42	OV:83
Ben Lampitt	AGE:22	PO:68	OV:78
Tracy Tovar	AGE:33	PO:53	OV:77
Loren McTeer	AGE:27	PO:46	OV:75
Bryce Ludlum	AGE:21	PO:52	OV:73
Todd Belasco	AGE:22	PO:44	OV:73
Kevin Krach	AGE:24	PO:52	OV:72

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	Pit	Pit		Pit		Pit		Pit
18	Pit	Pit	Pit	Pit	Pit	Pit	Pit	Pit
19	Pit	Pit	Pit	Pit	Pit	Pit	Pit	Pit
20	Pit	Pit	Pit	Pit	Pit	Pit	Pit	Pit
21	Pit	Pit	Pit	Pit	Pit	Pit	Pit	Pit

[9/2/2019 1:31:47 PM] - Johnstown Yellow Jackets didn't make playoff for year 16.
[8/30/2019 11:36:28 PM] - TRADE : From Washington Americans to Pittsburgh Yellow Jackets : Taylor Richart (63).
[8/30/2019 11:36:28 PM] - TRADE : From Pittsburgh Yellow Jackets to Washington Americans : Y:17-RND:7-Pit.
[8/30/2019 11:35:13 PM] - TRADE : From Saint John Winterhawks to Pittsburgh Yellow Jackets : Peter Wolchesky (69), Trevor Mannon (58), David Ryan (59), Guillaume Fredin (62), Cody Savinon (64).
[8/30/2019 11:35:13 PM] - TRADE : From Pittsburgh Yellow Jackets to Saint John Winterhawks : Mason Sade (65), Willie Middaugh (68).
[8/30/2019 9:09:49 PM] - TRADE : From Pittsburgh Yellow Jackets to Baltimore Tigers : Trevor Mingoia (68), Rick Krause (67).
[8/30/2019 9:09:49 PM] - TRADE : From Baltimore Tigers to Pittsburgh Yellow Jackets : Ian Vidulich (69).
[8/30/2019 7:00:38 PM] - TRADE : From Pittsburgh Yellow Jackets to Baltimore Tigers : Jon Helmick (65), Y:17-RND:3-Pit.
[8/30/2019 7:00:38 PM] - TRADE : From Baltimore Tigers to Pittsburgh Yellow Jackets : Dan Rancourt (70), Logan Duchesne (62).
[7/3/2019 10:31:44 PM] - TRADE : From Halifax Kings to Pittsburgh Yellow Jackets : Jon Helmick (65), Bryan Gesell (66).
[7/3/2019 10:31:44 PM] - TRADE : From Pittsburgh Yellow Jackets to Halifax Kings : Vaughn Weisgerber (66), Bryan Nardella (65), Y:17-RND:5-Pit.
[6/13/2019 11:17:56 PM] - Richard McMurtry was released.
[6/13/2019 11:17:56 PM] - Pittsburgh Yellow Jackets paid $0 to release Richard McMurtry.
[6/13/2019 11:17:51 PM] - Greg Baltzer was released.
[6/13/2019 11:17:51 PM] - Pittsburgh Yellow Jackets paid $0 to release Greg Baltzer.
[6/13/2019 11:17:46 PM] - Galen Tomkins was released.
[6/13/2019 11:17:46 PM] - Pittsburgh Yellow Jackets paid $0 to release Galen Tomkins.
[6/10/2019 9:50:06 PM] - Dylan Zukoski was released.
[6/10/2019 9:50:06 PM] - Kelly Berenbaum was released.
[6/9/2019 4:31:39 PM] - Johnstown Yellow Jackets hired John Kulcowitz for $300,000 for 3 year(s).
[6/9/2019 4:31:20 PM] - Pittsburgh Yellow Jackets hired Jeff Daniels for $675,000 for 2 year(s).
[6/9/2019 12:34:32 AM] - Bryan Nardella signed with Pittsburgh Yellow Jackets for $312,500 for 2 year(s).
[6/9/2019 12:34:32 AM] - Bryan Nardella was added to Pittsburgh Yellow Jackets.
[6/9/2019 12:34:15 AM] - Dean Cardozo signed with Pittsburgh Yellow Jackets for $470,000 for 1 year(s).
[6/9/2019 12:34:15 AM] - Dean Cardozo was added to Pittsburgh Yellow Jackets.
[6/9/2019 12:33:59 AM] - Nathaniel Derrigo signed with Pittsburgh Yellow Jackets for $575,000 for 2 year(s).
[6/9/2019 12:33:59 AM] - Nathaniel Derrigo was added to Pittsburgh Yellow Jackets.
[6/7/2019 8:55:26 PM] - Allen Schooley signed with Pittsburgh Yellow Jackets for $525,000 for 2 year(s).
[6/7/2019 8:55:26 PM] - Allen Schooley was added to Pittsburgh Yellow Jackets.
[6/5/2019 9:51:57 PM] - Scott Moyers signed with Pittsburgh Yellow Jackets for $500,000 for 2 year(s).
[6/5/2019 9:51:57 PM] - Scott Moyers was added to Pittsburgh Yellow Jackets.
[6/5/2019 9:51:48 PM] - Evan Musgrave signed with Pittsburgh Yellow Jackets for $525,000 for 1 year(s).
[6/5/2019 9:51:48 PM] - Evan Musgrave was added to Pittsburgh Yellow Jackets.
[6/5/2019 9:43:02 PM] - Doug Heigl signed with Pittsburgh Yellow Jackets for $450,000 for 1 year(s).
[6/5/2019 9:43:02 PM] - Doug Heigl was added to Pittsburgh Yellow Jackets.
[6/5/2019 9:22:37 PM] - Jack Swartz signed with Pittsburgh Yellow Jackets for $725,000 for 3 year(s).
[6/5/2019 9:22:37 PM] - Jack Swartz was added to Pittsburgh Yellow Jackets.
[6/2/2019 2:59:45 PM] - Dana Mosseri was added to Pittsburgh Yellow Jackets.

[9/2/2019 1:26:48 PM] Johnstown Yellow Jackets 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 Johnstown Yellow Jackets.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Pittsburgh Yellow Jackets.
[9/2/2019 1:26:36 PM] Auto Roster Function has been run for Pittsburgh Yellow Jackets.

Timothy Jett est dehors pour 2 semaines à cause de Right Ankle Injury.
Evan McNair est dehors pour 2 semaines à cause de Sprained Right Knee Injury.
Morgan Bruington est dehors pour 1 semaine à cause de Groin Injury.
Carson Gatt est dehors pour 2 mois à cause de Sprained Right Knee 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	43	26	6	3	2	0	0	252	231	21	40	25	9	4	1	1	0	0	130	109	21	40	18	17	2	2	1	0	0	122	122	0	92	252	421	673	1	0	79	78	92	3	2412	841	808	745	18	2422	862	693	1616	376	63	16.76%	322	56	82.61%	7	1067	1993	53.54%	1102	2046	53.86%	625	1124	55.60%	1726	972	1713	743	1397	713
15-16	80	32	33	10	2	3	0	0	288	275	13	40	21	12	4	1	2	0	0	171	139	32	40	11	21	6	1	1	0	0	117	136	-19	74	288	484	772	2	1	83	97	106	2	2577	919	859	777	22	2678	875	751	1723	383	69	18.02%	322	66	79.50%	6	1004	2046	49.07%	952	2017	47.20%	577	1240	46.53%	1677	902	1732	763	1451	743
16-17	80	32	30	15	3	0	0	0	251	240	11	40	16	13	10	1	0	0	0	122	114	8	40	16	17	5	2	0	0	0	129	126	3	79	251	415	666	1	2	100	82	66	3	2446	902	756	771	17	2445	828	618	1667	367	62	16.89%	233	45	80.69%	5	1082	1986	54.48%	1014	1943	52.19%	634	1172	54.10%	1743	984	1700	739	1437	749
17-18	80	27	35	12	3	3	0	0	223	229	-6	40	14	17	6	1	2	0	0	114	117	-3	40	13	18	6	2	1	0	0	109	112	-3	66	223	375	598	0	2	63	84	73	3	2425	873	752	778	22	2395	809	618	1620	343	51	14.87%	220	42	80.91%	2	1063	1982	53.63%	1032	1941	53.17%	648	1186	54.64%	1771	1012	1679	719	1423	741
Total Saison Régulière	320	134	124	43	11	8	0	0	1014	975	39	160	76	51	24	4	5	0	0	537	479	58	160	58	73	19	7	3	0	0	477	496	-19	311	1014	1695	2709	4	5	325	341	337	11	9860	3535	3175	3071	79	9940	3374	2680	6626	1469	245	16.68%	1097	209	80.95%	20	4216	8007	52.65%	4100	7947	51.59%	2484	4722	52.60%	6920	3871	6826	2966	5709	2947

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

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

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