Wilkes-Barrie/Scranton Penguins
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Statistiques d’équipe en carrière

Centre de jeu
	CANADIENS 11-6-0, 22pts	3	FINAL	4	PENGUINS 5-7-0, 10pts

Team Stats
OTL1	Séquence	L1
7-2-0	Fiche domicile	2-3-0
4-4-0	Fiche visiteur	3-4-0
5-3-2	Derniers 10 matchs	3-6-1
3.65	Buts par match	2.75
2.71	Buts contre par match	2.92
20.97%	Pourcentage en avantage numérique	19.05%
83.56%	Pourcentage en désavantage numérique	83.64%

PENGUINS
5-7-0, 10pts

FINAL

CANADIENS
11-6-0, 22pts

Team Stats
L1	Séquence	OTL1
2-3-0	Fiche domicile	7-2-0
3-4-0	Fiche visiteur	4-4-0
3-6-1	Derniers 10 matchs	5-3-2
2.75	Buts par match	3.65
2.92	Buts contre par match	2.71
19.05%	Pourcentage en avantage numérique	20.97%
83.64%	Pourcentage en désavantage numérique	83.56%

Meneurs d'équipe
	Buts Sidney Crosby 6	Passes Sidney Crosby 7

	Points Sidney Crosby 13	Plus/Moins Ryan O'Reilly 4

	Victoires Ilya Sorokin 5	Pourcentage d’arrêts Ilya Sorokin 0.931

Statistiques d’équipe
Buts pour 33 2.75 GFG	Tirs pour 394 32.83 Avg	Pourcentage en avantage numérique 19.0% 8 GF	Début de zone offensive 36.2%
Buts contre 35 2.92 GAA	Tirs contre 433 36.08 Avg	Pourcentage en désavantage numérique 83.6%% 9 GA	Début de la zone défensive 44.2%

Informations de l'équipe
	Directeur général	Richard Ngo
	Entraîneur	Todd McLellan
	Division	Metropolitan
	Conférence	Eastern Conference
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	PPG Paints Arena
	Capacité	19,000
	Assistance	19,000
	Billets de saison	9,120
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	20
	Limite contact	43 / 62
	Espoirs	12
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	99,500,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	9,816,500$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	101,722,094$
	Compte bancaire projeté	101,722,094$

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	Âge	Contrat	Salaire
1	Sidney Crosby	X				100.00	73	51	70	97	88	97	97	94	80	89	75	80	89	99	99	0	54	84	0	36	4	9,000,000$
2	Elias Pettersson	X	X			100.00	73	45	92	95	76	91	85	95	69	91	84	86	94	90	90	0	68	84	0	25	2	7,350,000$
3	Brandon Hagel		X	X		100.00	73	51	70	95	79	88	83	89	50	81	85	87	90	77	77	0	70	81	0	25	1	700,000$
4	Reilly Smith			X		100.00	72	45	90	86	79	87	92	87	45	79	82	80	85	90	90	0	76	80	0	33	1	5,000,000$
5	Trevor Zegras	X				100.00	69	53	95	98	79	90	85	98	67	83	80	65	98	76	76	0	78	80	0	23	2	1,050,000$
6	Jason Zucker		X			100.00	83	55	71	82	75	86	92	88	50	77	83	70	84	88	88	0	77	78	0	32	1	6,000,000$
7	Erik Haula	X	X			100.00	76	55	71	86	75	87	90	85	82	79	74	78	82	85	85	0	76	78	0	33	2	5,000,000$
8	Nick Bjugstad	X		X		100.00	80	50	75	75	85	88	91	83	72	72	76	79	78	85	85	0	76	77	0	31	4	5,250,000$
9	Ryan O'Reilly	X				100.00	63	45	83	78	85	88	89	81	85	74	76	72	77	99	99	0	74	77	0	33	2	7,500,000$
10	Evander Kane		X	X		100.00	91	56	57	84	85	89	84	83	50	72	76	68	78	88	88	0	78	76	0	32	2	7,000,000$
11	Mason McTavish	X				100.00	82	50	82	82	87	88	84	85	70	78	76	70	81	75	75	0	73	76	0	21	2	1,050,000$
12	Adam Fox				X	100.00	70	50	75	97	87	92	83	91	40	93	87	91	88	80	80	0	60	84	0	26	1	1,050,000$
13	Brenden Dillon				X	100.00	77	78	65	74	87	89	92	77	40	77	63	86	71	87	87	0	76	78	0	33	2	3,900,000$
14	Owen Power (R)				X	100.00	74	45	82	88	92	98	84	84	40	80	66	75	75	73	73	0	77	78	0	21	3	1,050,000$
15	Ryan McDonagh				X	100.00	72	45	84	75	82	89	93	77	40	76	63	77	72	95	95	0	73	77	0	34	1	6,750,000$
16	Jack Johnson				X	100.00	73	50	78	73	84	87	93	75	40	66	63	82	70	95	95	0	77	77	0	37	2	6,000,000$
17	John Marino				X	100.00	69	45	83	88	76	89	81	76	40	74	66	86	77	77	77	0	80	77	0	26	1	950,000$
18	Martin Fehervary				X	100.00	77	55	72	80	84	88	81	77	40	70	80	78	75	75	75	0	35	75	0	24	2	2,500,000$
Rayé
1	Mattias Samuelsson				X	100.00	75	45	83	75	93	92	78	74	40	68	63	79	71	75	75	0	20	75	0	24	1	800,000$
2	Niko Mikkola				X	100.00	76	61	68	74	84	87	83	74	40	68	62	81	69	76	76	0	45	74	0	28	1	1,000,000$

	MOYENNE D’ÉQUIPE					100.00	75	52	77	84	83	90	87	84	54	77	74	79	80	84	84	0	67	78

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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	Âge	Contrat	Salaire
1	Ilya Sorokin	100.00	97	87	95	92	95	98	97	98	95	95	88	80	80	0	79	91	0	28	2	950,000$
2	Igor Shesterkin	100.00	97	89	91	84	94	97	97	98	97	97	82	80	80	0	79	90	0	28	1	1,050,000$
Rayé
1	Semyon Varlamov	100.00	85	86	85	88	91	88	88	89	92	85	80	95	95	0	24	86	0	36	1	3,600,000$

	MOYENNE D’ÉQUIPE	100.00	93	87	90	88	93	94	94	95	95	92	83	85	85	0	61	89

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Todd McLellan	81	85	89	82	83	78	1	CAN	55	3	3,000,000$

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	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	FW	FL	FT	S1	S2	S3
1	Sidney Crosby	PENGUINS	C	12	6	7	13	-4	26	10	16	22	47	17	29	12.77%	9	309	25.78	3	2	5	6	30	0	41	0	0	46.27%	482	12	6	0.84	1	0	1	2	1	0
2	Elias Pettersson	PENGUINS	C/LW	12	3	7	10	-4	7	5	11	18	73	15	33	4.11%	9	321	26.82	0	4	4	3	31	2	51	0	0	48.28%	29	13	7	0.62	0	1	0	0	2	0
3	Brandon Hagel	PENGUINS	LW/RW	12	3	5	8	-5	26	10	14	8	41	8	18	7.32%	5	250	20.90	2	1	3	4	32	1	27	0	0	50.00%	20	9	10	0.64	0	2	0	0	0	0
4	Jason Zucker	PENGUINS	LW	12	2	6	8	4	9	5	21	4	33	11	24	6.06%	5	151	12.63	0	0	0	0	1	0	3	0	0	50.00%	2	5	1	1.06	0	0	1	0	0	1
5	Adam Fox	PENGUINS	D	12	3	4	7	-5	19	5	11	17	35	13	15	8.57%	24	355	29.65	1	0	1	3	35	1	48	2	0	0%	0	4	13	0.39	1	0	0	0	0	0
6	Ryan O'Reilly	PENGUINS	C	12	5	2	7	4	5	5	10	22	18	5	10	27.78%	6	169	14.12	0	0	0	0	0	2	23	0	1	56.03%	116	1	1	0.83	0	1	0	1	1	0
7	Trevor Zegras	PENGUINS	C	12	3	4	7	-1	22	10	23	17	39	18	18	7.69%	5	210	17.55	1	1	2	2	28	0	0	1	0	44.31%	167	12	4	0.66	0	0	2	0	1	0
8	Evander Kane	PENGUINS	LW/RW	12	3	3	6	4	16	0	16	8	24	5	19	12.50%	7	145	12.11	0	0	0	0	0	0	0	1	0	0%	4	4	3	0.83	0	0	0	0	0	1
9	Reilly Smith	PENGUINS	RW	12	3	2	5	-1	7	5	25	16	30	10	17	10.00%	5	234	19.57	0	1	1	1	29	3	18	1	0	30.00%	10	2	7	0.43	0	0	1	0	0	1
10	Erik Haula	PENGUINS	C/LW	12	1	4	5	-1	12	0	14	15	14	10	14	7.14%	4	217	18.14	1	0	1	1	28	0	0	0	0	55.56%	9	3	2	0.46	0	0	0	0	0	0
11	Brenden Dillon	PENGUINS	D	12	0	3	3	3	25	15	13	12	4	3	1	0%	11	234	19.55	0	1	1	0	25	0	30	0	0	0%	0	1	6	0.26	0	1	2	0	0	0
12	Jack Johnson	PENGUINS	D	12	1	2	3	1	2	0	1	11	9	1	4	11.11%	9	135	11.31	0	0	0	0	0	0	0	0	0	0%	0	0	5	0.44	0	0	0	0	0	0
13	John Marino	PENGUINS	D	12	0	3	3	4	12	10	9	14	12	3	6	0%	7	237	19.80	0	0	0	0	25	1	34	0	0	0%	0	2	9	0.25	1	0	1	0	0	0
14	Nick Bjugstad	PENGUINS	C/RW	12	0	2	2	1	2	0	5	11	1	0	3	0%	2	62	5.25	0	0	0	0	0	0	10	0	0	42.86%	49	0	2	0.64	0	0	0	0	0	0
15	Owen Power	PENGUINS	D	12	0	1	1	-4	5	5	15	21	9	5	11	0%	21	326	27.23	0	0	0	0	36	0	52	0	0	0%	0	2	16	0.06	1	0	0	0	0	0
16	Mason McTavish	PENGUINS	C	12	0	1	1	0	0	0	4	2	0	0	1	0%	0	25	2.10	0	0	0	0	2	0	0	0	0	38.46%	13	1	1	0.79	0	0	0	0	0	0
17	Ryan McDonagh	PENGUINS	D	12	0	0	0	0	11	5	2	9	4	0	1	0%	8	134	11.25	0	0	0	0	0	0	9	0	0	0%	0	2	4	0	0	1	0	0	0	0
18	Martin Fehervary	PENGUINS	D	12	0	0	0	-1	4	0	2	4	1	2	0	0%	1	44	3.70	0	0	0	0	0	0	2	0	0	0%	0	0	1	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				216	33	56	89	-5	210	90	212	231	394	126	224	8.38%	138	3569	16.53	8	10	18	20	312	10	354	5	1	46.73%	901	73	98	0.50	4	6	8	3	5	3

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Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	GA	SA	SAR	EG	PS %	ST	BG	S1	S2	S3
1	Ilya Sorokin	PENGUINS	11	5	5	1	0.931	2.41	671	27	391	139	1	0	11	1	1	1	1
2	Igor Shesterkin	PENGUINS	1	0	1	0	0.829	7.00	60	7	41	11	0	0	1	11	0	0	0
Statistiques d’équipe totales ou en moyenne			12	5	6	1	0.921	2.79	731	34	432	150	1		12	12	1	1	1

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	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10
Adam Fox	PENGUINS	D	26	1998-02-17	No	182 Lbs	5 ft11	No	No	N/A		No	No	1	False	False	Pro & Farm	1,050,000$	1,050,000$	262,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Brandon Hagel	PENGUINS	LW/RW	25	1998-08-27	No	179 Lbs	6 ft2	No	No	N/A		No	No	1	False	False	Pro & Farm	700,000$	700,000$	175,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Brenden Dillon	PENGUINS	D	33	1990-11-13	No	224 Lbs	6 ft4	No	No	N/A		No	No	2	False	False	Pro & Farm	3,900,000$	3,900,000$	975,000$	No	3,900,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Elias Pettersson	PENGUINS	C/LW	25	1998-11-12	No	176 Lbs	6 ft2	No	No	N/A		No	No	2	False	False	Pro & Farm	7,350,000$	7,350,000$	1,837,500$	No	7,350,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Erik Haula	PENGUINS	C/LW	33	1991-03-23	No	191 Lbs	5 ft11	No	No	N/A		No	No	2	False	False	Pro & Farm	5,000,000$	5,000,000$	1,250,000$	No	5,000,000$	-	-	-	-	-	-	-	-	5,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Evander Kane	PENGUINS	LW/RW	32	1991-08-02	No	210 Lbs	6 ft2	No	No	N/A		No	No	2	False	False	Pro & Farm	7,000,000$	7,000,000$	1,750,000$	No	7,000,000$	-	-	-	-	-	-	-	-	4,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Igor Shesterkin	PENGUINS	G	28	1995-12-30	No	189 Lbs	6 ft1	No	No	N/A		No	No	1	False	False	Pro & Farm	1,050,000$	1,050,000$	262,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ilya Sorokin	PENGUINS	G	28	1995-08-04	No	195 Lbs	6 ft3	No	No	N/A		No	No	2	False	False	Pro & Farm	950,000$	950,000$	237,500$	No	950,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jack Johnson	PENGUINS	D	37	1987-01-13	No	227 Lbs	6 ft1	No	No	N/A		No	No	2	False	False	Pro Only	6,000,000$	6,000,000$	1,500,000$	No	6,000,000$	-	-	-	-	-	-	-	-	6,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jason Zucker	PENGUINS	LW	32	1992-01-16	No	192 Lbs	5 ft11	No	No	N/A		No	No	1	False	False	Pro & Farm	6,000,000$	6,000,000$	1,500,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
John Marino	PENGUINS	D	26	1997-05-21	No	181 Lbs	6 ft1	No	No	N/A		No	No	1	False	False	Pro & Farm	950,000$	950,000$	237,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Martin Fehervary	PENGUINS	D	24	1999-10-06	No	199 Lbs	6 ft2	No	No	N/A		No	No	2	False	False	Pro & Farm	2,500,000$	2,500,000$	625,000$	No	2,500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Mason McTavish	PENGUINS	C	21	2003-01-30	No	213 Lbs	6 ft0	No	No	N/A		No	No	2	False	False	Pro & Farm	1,050,000$	1,050,000$	262,500$	No	1,050,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Mattias Samuelsson	PENGUINS	D	24	2000-03-14	No	231 Lbs	6 ft4	No	No	N/A		No	No	1	False	False	Pro & Farm	800,000$	800,000$	200,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Nick Bjugstad	PENGUINS	C/RW	31	1992-07-17	No	209 Lbs	6 ft6	No	No	N/A		No	No	4	False	False	Pro & Farm	5,250,000$	5,250,000$	1,312,500$	No	5,250,000$	5,250,000$	5,250,000$	-	-	-	-	-	-	5,250,000$	5,250,000$	5,250,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Niko Mikkola	PENGUINS	D	28	1996-04-27	No	209 Lbs	6 ft4	No	No	N/A		No	No	1	False	False	Pro & Farm	1,000,000$	1,000,000$	250,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Owen Power	PENGUINS	D	21	2002-11-22	Yes	218 Lbs	6 ft6	No	No	N/A		No	No	3	False	False	Pro & Farm	1,050,000$	1,050,000$	262,500$	No	1,050,000$	1,050,000$	-	-	-	-	-	-	-	916,667$	916,667$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Reilly Smith	PENGUINS	RW	33	1991-04-01	No	185 Lbs	6 ft1	No	No	N/A		No	No	1	False	False	Pro & Farm	5,000,000$	5,000,000$	1,250,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ryan McDonagh	PENGUINS	D	34	1989-06-13	No	215 Lbs	6 ft1	No	No	N/A		No	No	1	False	False	Pro & Farm	6,750,000$	6,750,000$	1,687,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ryan O'Reilly	PENGUINS	C	33	1991-02-07	No	207 Lbs	6 ft1	No	No	N/A		No	No	2	False	False	Pro & Farm	7,500,000$	7,500,000$	1,875,000$	No	7,500,000$	-	-	-	-	-	-	-	-	5,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Semyon Varlamov	PENGUINS	G	36	1988-04-27	No	206 Lbs	6 ft2	No	No	N/A		No	No	1	False	False	Pro & Farm	3,600,000$	3,600,000$	900,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Sidney Crosby	PENGUINS	C	36	1987-08-07	No	200 Lbs	5 ft11	No	No	Trade	2023-12-19	No	No	4	False	False	Pro & Farm	9,000,000$	9,000,000$	2,250,000$	No	9,000,000$	9,000,000$	9,000,000$	-	-	-	-	-	-	8,000,000$	8,000,000$	8,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Trevor Zegras	PENGUINS	C	23	2001-03-20	No	185 Lbs	6 ft0	No	No	N/A		No	No	2	False	False	Pro & Farm	1,050,000$	1,050,000$	262,500$	No	1,050,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	29.09	201 Lbs	6 ft2	1.78	3,673,913$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
84,500,000$	57,600,000$	15,300,000$	14,250,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Elias Pettersson	Sidney Crosby	Brandon Hagel	40	1	2	2
2	Erik Haula	Trevor Zegras	Reilly Smith	30	1	2	2
3	Jason Zucker	Ryan O'Reilly	Evander Kane	20	1	2	2
4	Sidney Crosby	Nick Bjugstad	Elias Pettersson	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Adam Fox	Owen Power	40	1	2	2
2	Brenden Dillon	John Marino	30	1	2	2
3	Jack Johnson	Ryan McDonagh	20	1	2	2
4	Martin Fehervary	Adam Fox	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Elias Pettersson	Sidney Crosby	Brandon Hagel	60	1	2	2
2	Erik Haula	Trevor Zegras	Reilly Smith	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Adam Fox	Owen Power	60	1	2	2
2	Brenden Dillon	John Marino	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Sidney Crosby	Elias Pettersson	60	1	2	2
2	Brandon Hagel	Reilly Smith	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Adam Fox	Owen Power	60	1	2	2
2	Brenden Dillon	John Marino	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Sidney Crosby	60	1	2	2	Adam Fox	Owen Power	60	1	2	2
2	Elias Pettersson	40	1	2	2	Brenden Dillon	John Marino	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Sidney Crosby	Elias Pettersson	60	1	2	2
2	Brandon Hagel	Reilly Smith	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Adam Fox	Owen Power	60	1	2	2
2	Brenden Dillon	John Marino	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Elias Pettersson	Sidney Crosby	Brandon Hagel	Adam Fox	Owen Power

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Elias Pettersson	Sidney Crosby	Brandon Hagel	Adam Fox	Owen Power

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Mason McTavish, Jason Zucker, Ryan O'Reilly	Mason McTavish, Jason Zucker	Ryan O'Reilly

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jack Johnson, Ryan McDonagh, Martin Fehervary	Jack Johnson	Ryan McDonagh, Martin Fehervary

Tirs de pénalité
Sidney Crosby, Elias Pettersson, Brandon Hagel, Reilly Smith, Trevor Zegras

Gardien
#1 : Ilya Sorokin, #2 : Igor Shesterkin

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

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

	Total												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	CANADIENS	5	1	4	0	0	0	0	0	13	19	-6	2	1	1	0	0	0	0	0	9	10	-1	3	0	3	0	0	0	0	0	4	9	-5	2	0.200	13	22	35	1	0	5	0	7	1	155	58	40	56	1	178	61	83	87	22	4	18.18%	24	6	75.00%	0	159	326	48.77%	184	398	46.23%	78	177	44.07%	103	59	113	45	83	41
2	MAPLE LEAFS	7	4	3	0	0	0	0	0	20	16	4	3	1	2	0	0	0	0	0	8	6	2	4	3	1	0	0	0	0	0	12	10	2	8	0.571	20	34	54	0	0	4	8	7	1	239	66	86	72	15	255	77	127	125	20	4	20.00%	31	3	90.32%	0	159	326	48.77%	184	398	46.23%	78	177	44.07%	150	86	160	63	121	60
	Total	12	5	7	0	0	0	0	0	33	35	-2	5	2	3	0	0	0	0	0	17	16	1	7	3	4	0	0	0	0	0	16	19	-3	10	0.417	33	56	89	1	0	9	8	14	2	394	124	126	128	16	433	138	210	212	42	8	19.05%	55	9	83.64%	0	159	326	48.77%	184	398	46.23%	78	177	44.07%	253	146	274	109	204	101
	_Since Last GM Reset	12	5	7	0	0	0	0	0	33	35	-2	5	2	3	0	0	0	0	0	17	16	1	7	3	4	0	0	0	0	0	16	19	-3	10	0.417	33	56	89	1	0	9	8	14	2	394	124	126	128	16	433	138	210	212	42	8	19.05%	55	9	83.64%	0	159	326	48.77%	184	398	46.23%	78	177	44.07%	253	146	274	109	204	101
	_Vs Conference	12	5	7	0	0	0	0	0	33	35	-2	5	2	3	0	0	0	0	0	17	16	1	7	3	4	0	0	0	0	0	16	19	-3	10	0.417	33	56	89	1	0	9	8	14	2	394	124	126	128	16	433	138	210	212	42	8	19.05%	55	9	83.64%	0	159	326	48.77%	184	398	46.23%	78	177	44.07%	253	146	274	109	204	101

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
12	10	L1	33	56	89	394	433	138	210	212	1	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	5	7	0	0	0	0	33	35

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	3	0	0	0	0	17	16

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	16	19

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
1	6	2	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
42	8	19.05%	55	9	83.64%	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
124	126	128	16	9	8	14	2

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
159	326	48.77%	184	398	46.23%	78	177	44.07%

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
253	146	274	109	204	101

Derniers matchs 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	2	PENGUINS	4	MAPLE LEAFS	3	W		Sommaire du match
2	10	PENGUINS	5	MAPLE LEAFS	1	W		Sommaire du match
3	18	MAPLE LEAFS	1	PENGUINS	5	W		Sommaire du match
4	26	MAPLE LEAFS	3	PENGUINS	2	L	X	Sommaire du match
5	34	PENGUINS	1	MAPLE LEAFS	5	L		Sommaire du match
6	42	MAPLE LEAFS	2	PENGUINS	1	L		Sommaire du match
7	50	PENGUINS	2	MAPLE LEAFS	1	W	X	Sommaire du match
8	58	PENGUINS	2	CANADIENS	3	L		Sommaire du match
9	62	PENGUINS	1	CANADIENS	3	L		Sommaire du match
10	66	CANADIENS	7	PENGUINS	5	L		Sommaire du match
11	70	CANADIENS	3	PENGUINS	4	W	X	Sommaire du match
12	74	PENGUINS	1	CANADIENS	3	L		Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6200	5200	2200	4200	1200
Prix des billets	100	60	35	25	200
Assistance	31,000	26,000	11,000	21,000	6,000
Attendance PCT	100.00%	100.00%	100.00%	100.00%	100.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
36	19000 - 100.00%	1,963,300$	9,816,500$	19000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	84,500,000$	51,566,667$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	0$	23	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	7	0$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	101,722,094$	101,722,094$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	99,500,000$	99,500,000$	-28,000,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Elias Pettersson	AGE:25	PO:0	OV:84
Brandon Hagel	AGE:25	PO:0	OV:81
Jason Zucker	AGE:32	PO:0	OV:78
Erik Haula	AGE:33	PO:0	OV:78
Evander Kane	AGE:32	PO:0	OV:76
Mason Marchment	AGE:28	PO:0	OV:74
Steven Lorentz	AGE:28	PO:0	OV:74
J.J. Peterka	AGE:22	PO:0	OV:74
Joe Snively (R)	AGE:28	PO:0	OV:63

Sidney Crosby	AGE:36	PO:0	OV:84
Elias Pettersson	AGE:25	PO:0	OV:84
Trevor Zegras	AGE:23	PO:0	OV:80
Erik Haula	AGE:33	PO:0	OV:78
Nick Bjugstad	AGE:31	PO:0	OV:77
Ryan O'Reilly	AGE:33	PO:0	OV:77
Mason McTavish	AGE:21	PO:0	OV:76
Steven Lorentz	AGE:28	PO:0	OV:74
David Gustafsson	AGE:24	PO:0	OV:70
Jansen Harkins	AGE:26	PO:0	OV:67
Artem Anisimov	AGE:35	PO:0	OV:64
Henrik Borgstrom	AGE:26	PO:0	OV:62

Brandon Hagel	AGE:25	PO:0	OV:81
Reilly Smith	AGE:33	PO:0	OV:80
Nick Bjugstad	AGE:31	PO:0	OV:77
Evander Kane	AGE:32	PO:0	OV:76
J.J. Peterka	AGE:22	PO:0	OV:74
Brandon Duhaime (R)	AGE:26	PO:0	OV:70
Wade Allison	AGE:26	PO:0	OV:70
Justin Danforth (R)	AGE:31	PO:0	OV:67
John Quenneville	AGE:28	PO:0	OV:60
Beck Malenstyn	AGE:26	PO:0	OV:56

Défense #1

Défense #2

Gardien

Adam Fox	AGE:26	PO:0	OV:84
Brenden Dillon	AGE:33	PO:0	OV:78
Owen Power (R)	AGE:21	PO:0	OV:78
Ryan McDonagh	AGE:34	PO:0	OV:77
Jack Johnson	AGE:37	PO:0	OV:77
John Marino	AGE:26	PO:0	OV:77
Martin Fehervary	AGE:24	PO:0	OV:75
Mattias Samuelsson	AGE:24	PO:0	OV:75

Niko Mikkola	AGE:28	PO:0	OV:74
Vincent Desharnais (R)	AGE:27	PO:0	OV:73
Kevin Bahl	AGE:23	PO:0	OV:70
Declan Chisholm (R)	AGE:24	PO:0	OV:68
Markus Niemelainen	AGE:25	PO:0	OV:67
Jordan Spence (R)	AGE:23	PO:0	OV:67
William Lagesson	AGE:28	PO:0	OV:66

Ilya Sorokin	AGE:28	PO:0	OV:91
Igor Shesterkin	AGE:28	PO:0	OV:90
Semyon Varlamov	AGE:36	PO:0	OV:86
Olle Eriksson Ek (R)	AGE:24	PO:0	OV:68

Espoirs

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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

Espoir	Nom de l’équipe	Année de repêchage
Adam Huska EURO	PENGUINS	2023
Alexandre Texier EURO	PENGUINS	2023
Henry Thrun	PENGUINS	2023
Jakub Lauko	PENGUINS	2023
Juuso Pärssinen	PENGUINS	2023
Nils Aman	PENGUINS	2023
Sami Niku EURO	PENGUINS	2023
Sammy Walker	PENGUINS	2023
Samuel Knazko	PENGUINS	2023
Spencer Stastney	PENGUINS	2023
Tarmo Reunanen EURO	PENGUINS	2023
Tim Berni	PENGUINS	2023

Choix au repêchage

Année	R1	R2	R3	R4	R5
2024
2025
2026
2027
2028
Choix au repêchage conditionnel

Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.

PENGUINS Historique de transactions

[5/4/2024 4:14:37 PM] - PENGUINS was eliminated at round 2 of year 2023.
[4/8/2024 11:09:38 PM] - Wilkes-Barrie/Scranton Penguins didn't make playoff for year 2023.
[1/22/2024 11:36:48 AM] - New Record for Team's Most Penalties Minutes (55) in 1 Game for PENGUINS!
[12/19/2023 2:19:38 PM] - TRADE : From PENGUINS to WILD : Seth Jarvis (76), Marc-Edouard Vlasic (77), Y:2025-RND:1-PHI, Y:2025-RND:2-PHI.
[12/19/2023 2:19:38 PM] - TRADE : From WILD to PENGUINS : Sidney Crosby (84).
[10/21/2023 4:53:01 PM] - New Record for Team's Most Penalties Minutes (43) in 1 Game for PENGUINS!
[10/8/2023 3:11:08 PM] - New Record for Team's Most Penalties Minutes (42) in 1 Game for PENGUINS!
[8/29/2023 11:06:55 PM] - Nikolay Goldobin EURO KEEP has been deleted from PENGUINS.
[8/29/2023 11:06:53 PM] - Joakim Nygard EURO has been deleted from PENGUINS.
[8/29/2023 11:06:50 PM] - Gaetan Haas EURO has been deleted from PENGUINS.
[8/29/2023 8:35:03 PM] - PENGUINS hired Todd McLellan for $3,000,000 for 3 year(s).
[8/27/2023 10:53:22 PM] - John Quenneville was added to PENGUINS.
[8/27/2023 8:13:17 PM] - Henrik Borgstrom was added to PENGUINS.
[8/27/2023 8:05:57 PM] - Artem Anisimov was added to PENGUINS.
[8/26/2023 11:31:49 PM] - TRADE : From ISLANDERS to PENGUINS : Y:2025-RND:4-NYI.
[8/26/2023 11:31:49 PM] - TRADE : From PENGUINS to ISLANDERS : David Farrance (61), Lucas Carlsson (66), Scott Harrington (73), Jakub Galvas (66).
[8/26/2023 8:01:37 PM] - TRADE : From PREDATORS to PENGUINS : Y:2024-RND:3-NAS, Y:2024-RND:4-NAS.
[8/26/2023 8:01:37 PM] - TRADE : From PENGUINS to PREDATORS : Cooper Marody (66), Zack MacEwen (70), Tanner Laczynski (65), Mitchell Stephens (61).
[8/26/2023 8:00:18 PM] - Olle Eriksson Ek was added to PENGUINS.
[8/26/2023 8:00:16 PM] - Vincent Desharnais was added to PENGUINS.
[8/22/2023 8:46:20 PM] - Nick Bjugstad signed with PENGUINS for $5,250,000 for 4 year(s) / Signing Bonus of $10,000,000.
[8/22/2023 8:46:20 PM] - Nick Bjugstad was added to PENGUINS.
[8/22/2023 8:45:37 PM] - Marc-Edouard Vlasic signed with PENGUINS for $6,000,000 for 1 year(s) / Signing Bonus of $3,000,000.
[8/22/2023 8:45:37 PM] - Marc-Edouard Vlasic was added to PENGUINS.
[8/22/2023 8:44:15 PM] - Jack Johnson signed with PENGUINS for $6,000,000 for 2 year(s) / Signing Bonus of $6,000,000.
[8/22/2023 8:44:15 PM] - Jack Johnson was added to PENGUINS.
[8/22/2023 8:43:56 PM] - Erik Haula signed with PENGUINS for $5,000,000 for 2 year(s) / Signing Bonus of $5,000,000.
[8/22/2023 8:43:56 PM] - Erik Haula was added to PENGUINS.
[8/21/2023 8:21:22 PM] - Scott Harrington signed with PENGUINS for $4,750,000 for 4 year(s).
[8/21/2023 8:21:22 PM] - Scott Harrington was added to PENGUINS.
[8/21/2023 7:43:59 PM] - TRADE : From PENGUINS to SENATORS : Ryan McLeod (72), Cal Clutterbuck (72), Jakub Voracek (69), Jonatan Berggren (P), Stanislav Svozil (P), Y:2026-RND:2-PIT.
[8/21/2023 7:43:59 PM] - TRADE : From SENATORS to PENGUINS : Reilly Smith (79), Semyon Varlamov (86), Brenden Dillon (78).
[8/21/2023 12:07:24 AM] - TRADE : From PENGUINS to FLYERS : Linus Ullmark (92).
[8/21/2023 12:07:24 AM] - TRADE : From FLYERS to PENGUINS : Ryan O'Reilly (76), Y:2025-RND:1-PHI, Y:2025-RND:2-PHI, Y:2025-RND:2-PIT, Y:2024-RND:3-PHI.
[8/20/2023 3:48:43 PM] - TRADE : From PENGUINS to WILD : Jamie Oleksiak (78).
[8/20/2023 3:48:43 PM] - TRADE : From WILD to PENGUINS : Evander Kane (76), Y:2024-RND:4-MIN.
[8/1/2023 10:24:03 PM] - Sammy Walker has been added to PENGUINS.
[8/1/2023 10:23:52 PM] - Jakub Lauko has been added to PENGUINS.
[8/1/2023 10:23:41 PM] - Spencer Stastney has been added to PENGUINS.
[8/1/2023 10:23:31 PM] - Nils Aman has been added to PENGUINS.
[8/1/2023 10:23:21 PM] - Jonatan Berggren has been added to PENGUINS.
[8/1/2023 10:23:11 PM] - Henry Thrun has been added to PENGUINS.
[8/1/2023 10:23:03 PM] - Vincent Desharnais has been added to PENGUINS.
[8/1/2023 10:22:53 PM] - Juuso Pärssinen has been added to PENGUINS.
[8/1/2023 10:22:46 PM] - Stanislav Svozil has been added to PENGUINS.
[8/1/2023 10:22:38 PM] - Tim Berni has been added to PENGUINS.
[8/1/2023 10:22:30 PM] - Samuel Knazko has been added to PENGUINS.
[8/1/2023 10:22:21 PM] - Olle Eriksson Ek has been added to PENGUINS.
[8/1/2023 9:52:25 PM] - Owen Power was added to PENGUINS.
[8/1/2023 9:52:22 PM] - Justin Danforth was added to PENGUINS.
[8/1/2023 9:52:20 PM] - Jordan Spence was added to PENGUINS.
[8/1/2023 9:52:17 PM] - Joe Snively was added to PENGUINS.
[8/1/2023 9:52:15 PM] - Jakub Galvas was added to PENGUINS.
[8/1/2023 9:52:12 PM] - Declan Chisholm was added to PENGUINS.
[8/1/2023 9:52:10 PM] - Brandon Duhaime was added to PENGUINS.

[5/4/2024 4:14:37 PM] PENGUINS lines for next game are empty. Current rosters/lines are not erased.
[5/3/2024 3:49:31 PM] PENGUINS lines for next game are empty. Current rosters/lines are not erased.
[5/2/2024 9:30:16 PM] PENGUINS lines for next game are empty. Current rosters/lines are not erased.
[5/1/2024 6:53:07 PM] PENGUINS lines for next game are empty. Current rosters/lines are not erased.
[4/30/2024 11:32:11 PM] PENGUINS lines for next game are empty. Current rosters/lines are not erased.
[4/25/2024 9:15:41 PM] PENGUINS lines for next game are empty. Current rosters/lines are not erased.
[4/25/2024 9:15:41 PM] Last 7 Days Pro Star : 1 - Jack Campbell of RANGERS (0.952) / 2 - Jeremy Swayman of DUCKS (0.950) / 3 - Ilya Sorokin of PENGUINS (0.937)
[4/24/2024 6:54:05 PM] PENGUINS lines for next game are empty. Current rosters/lines are not erased.
[4/23/2024 9:11:59 PM] PENGUINS lines for next game are empty. Current rosters/lines are not erased.
[4/22/2024 12:46:58 PM] PENGUINS lines for next game are empty. Current rosters/lines are not erased.
[4/21/2024 12:25:47 PM] PENGUINS lines for next game are empty. Current rosters/lines are not erased.
[4/20/2024 4:27:07 PM] PENGUINS lines for next game are empty. Current rosters/lines are not erased.
[4/19/2024 9:44:57 PM] PENGUINS lines for next game are empty. Current rosters/lines are not erased.
[4/5/2024 6:18:14 PM] Wilkes-Barrie/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[4/4/2024 8:25:37 PM] Wilkes-Barrie/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[4/3/2024 8:15:25 PM] PENGUINS lines for next game are empty. Current rosters/lines are not erased.
[4/2/2024 9:38:42 PM] Wilkes-Barrie/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[4/1/2024 11:28:51 AM] Both PENGUINS and Wilkes-Barrie/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[3/31/2024 7:16:13 PM] Kevin Bahl from Wilkes-Barrie/Scranton Penguins is back from Bruised Right Leg Injury.
[3/29/2024 6:04:03 PM] Both PENGUINS and Wilkes-Barrie/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[3/29/2024 6:04:02 PM] Farm Game #1097 - Mason Marchment from Wilkes-Barrie/Scranton Penguins has scored a Hat Trick!
[3/29/2024 6:04:02 PM] Game 1097 - Kevin Bahl from Wilkes-Barrie/Scranton Penguins is injured (Bruised Right Leg) and is out for 2 weeks.
[3/27/2024 6:24:36 PM] Both PENGUINS and Wilkes-Barrie/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[3/26/2024 11:35:26 PM] Both PENGUINS and Wilkes-Barrie/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[3/25/2024 12:43:06 PM] PENGUINS lines for next game are empty. Current rosters/lines are not erased.
[3/24/2024 7:23:25 PM] Wilkes-Barrie/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[3/24/2024 12:15:41 AM] Both PENGUINS and Wilkes-Barrie/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[3/16/2024 8:10:16 PM] Both PENGUINS and Wilkes-Barrie/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[3/15/2024 7:38:55 PM] Both PENGUINS and Wilkes-Barrie/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.

Pas de blessure ou de suspension.

PENGUINS Leaders statistiques des joueurs (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

PENGUINS Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

PENGUINS Statistiques de l'Équipe de Carrière

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	Total											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

PENGUINS Leaders statistiques des joueurs (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

PENGUINS Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	PENGUINS
	GP: 12 \| W: 5 \| L: 7 GF: 33 \| GA: 35 \| PP%: 19.05% \| PK%: 83.64% DG: Richard Ngo \| Morale : 99 \| Moyenne d’équipe : 80