BANGOR PUPPIES
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
	PHILADELPHIA MADMEN 6-3-0, 12pts	5	FINAL	4	BANGOR BEAGLES 5-5-0, 10pts

Team Stats
L1	Séquence	W1
2-2-0	Fiche domicile	2-4-0
4-1-0	Fiche visiteur	3-1-0
6-3-0	Derniers 10 matchs	5-4-1
3.56	Buts par match	3.70
4.22	Buts contre par match	3.80
0.00%	Pourcentage en avantage numérique	6.67%
78.57%	Pourcentage en désavantage numérique	94.74%

BANGOR BEAGLES
5-5-0, 10pts

FINAL

PHILADELPHIA MADMEN
6-3-0, 12pts

Team Stats
W1	Séquence	L1
2-4-0	Fiche domicile	2-2-0
3-1-0	Fiche visiteur	4-1-0
5-4-1	Derniers 10 matchs	6-3-0
3.70	Buts par match	3.56
3.80	Buts contre par match	4.22
6.67%	Pourcentage en avantage numérique	0.00%
94.74%	Pourcentage en désavantage numérique	78.57%

BANGOR BEAGLES
5-5-0, 10pts

Jour 21

PHILADELPHIA MADMEN
6-3-0, 12pts

Statistiques d’équipe
W1	Séquence	L1
2-4-0	Fiche domicile	2-2-0
3-1-0	Fiche visiteur	4-1-0
5-4-1	10 derniers matchs	6-3-0
3.70	Buts par match	3.56
3.80	Buts contre par match	3.56
6.67%	Pourcentage en avantage numérique	0.00%
94.74%	Pourcentage en désavantage numérique	78.57%

PHILADELPHIA MADMEN
6-3-0, 12pts

Jour 23

BANGOR BEAGLES
5-5-0, 10pts

Statistiques d’équipe
L1	Séquence	W1
2-2-0	Fiche domicile	2-4-0
4-1-0	Fiche visiteur	3-1-0
6-3-0	10 derniers matchs	5-4-1
3.56	Buts par match	3.70
4.22	Buts contre par match	3.70
0.00%	Pourcentage en avantage numérique	6.67%
78.57%	Pourcentage en désavantage numérique	94.74%

BANGOR BEAGLES
5-5-0, 10pts

Jour 25

PHILADELPHIA MADMEN
6-3-0, 12pts

Statistiques d’équipe
W1	Séquence	L1
2-4-0	Fiche domicile	2-2-0
3-1-0	Fiche visiteur	4-1-0
5-4-1	10 derniers matchs	6-3-0
3.70	Buts par match	3.56
3.80	Buts contre par match	3.56
6.67%	Pourcentage en avantage numérique	0.00%
94.74%	Pourcentage en désavantage numérique	78.57%

Meneurs d'équipe
	Buts Denis Gurianov 6	Passes Matt Duchene 10

	Points Matt Duchene 13	Plus/Moins Jeff Skinner 3

	Victoires Leland Irving 4	Pourcentage d’arrêts Leland Irving 0.88

Statistiques d’équipe
Buts pour 37 3.70 GFG	Tirs pour 304 30.40 Avg	Pourcentage en avantage numérique 6.7% 2 GF	Début de zone offensive 38.7%
Buts contre 38 3.80 GAA	Tirs contre 282 28.20 Avg	Pourcentage en désavantage numérique 94.7%% 1 GA	Début de la zone défensive 34.1%

Informations de l'équipe
	Directeur général	Clint T
	Entraîneur	Todd McLellan
	Division	Adams
	Conférence	Neid Conference
	Capitaine	Alex Ovechkin
	Assistant #1	Evgeni Malkin
	Assistant #2	Filip Forsberg
Informations de l’aréna
	Nom	Dog Pound
	Capacité	18,000
	Assistance	18,000
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	32
	Limite contact	55 / 66
	Espoirs	0
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	45,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	7,620,000$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	385,100,644$
	Compte bancaire projeté	385,100,644$

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	Evgeni Malkin (A)	X	X	X		100.00	71	1	99	82	78	96	96	99	75	99	99	96	80	99	99	0	82	89	2	37	3	2,420,000$
2	Filip Forsberg (A)	X	X	X		100.00	65	8	94	88	89	99	95	99	77	99	99	80	68	98	99	0	81	88	2	29	6	2,310,350$
3	Alex Ovechkin (C)		X	X		100.00	59	17	99	83	89	91	89	99	34	96	91	86	88	99	99	0	82	86	2	38	6	2,736,300$
4	Matt Duchene	X	X	X		100.00	13	1	99	86	77	99	96	99	92	99	99	77	75	99	94	0	82	85	0	33	4	3,395,490$
5	Sam Reinhart	X		X		100.00	43	9	89	84	86	95	94	99	75	95	95	72	69	95	96	0	82	84	2	28	3	1,950,000$
6	Denis Gurianov		X	X		100.00	37	5	97	89	91	92	97	89	44	90	90	72	55	94	98	0	82	82	1	26	1	675,000$
7	Jordan Kyrou	X	X	X		100.00	12	15	82	93	94	95	95	91	66	94	89	54	61	93	94	0	82	81	2	25	2	700,000$
8	Jeff Skinner	X	X	X		100.00	24	4	99	73	75	90	84	91	59	95	83	95	67	99	97	0	82	81	2	31	6	2,126,993$
9	Pavel Buchnevich		X	X		100.00	64	40	69	81	77	96	95	90	38	87	82	68	59	92	84	0	81	79	2	28	1	550,000$
10	Kaapo Kakko (R)			X		100.00	38	1	99	85	93	94	95	85	57	89	72	68	59	88	96	0	82	78	1	23	5	750,000$
11	Tyler Seguin	X		X		100.00	2	1	99	68	75	86	86	99	78	87	80	73	75	99	93	0	82	77	2	32	5	2,292,000$
12	Roope Hintz	X	X			100.00	47	14	81	75	78	96	92	85	54	83	78	63	60	84	71	0	81	75	2	27	4	1,312,500$
13	Keith Yandle				X	100.00	58	21	99	83	87	95	95	99	50	99	90	97	64	99	99	0	45	86	2	37	3	1,525,000$
14	Zach Werenski				X	100.00	55	2	99	99	94	99	95	99	44	99	95	72	56	99	99	0	82	86	1	26	5	2,053,750$
15	Jonathan Blum				X	100.00	15	1	99	88	80	88	80	99	40	99	98	81	62	99	98	0	81	81	0	35	2	1,159,375$
16	P.K. Subban				X	100.00	94	49	78	60	78	99	84	92	50	92	80	86	60	99	99	0	82	81	0	34	2	1,325,000$
17	Ryan McDonagh				X	100.00	24	1	99	57	79	82	84	92	50	93	75	85	58	94	87	0	82	74	0	34	3	1,957,500$
18	Derrick Pouliot				X	100.00	42	29	70	67	73	84	90	70	30	70	55	90	52	86	80	0	81	73	2	30	1	937,500$
Rayé
1	Vladislav Namestnikov	X	X			100.00	77	61	49	67	74	80	90	82	56	82	76	71	59	88	97	0	22	74	2	31	2	1,193,400$
2	Tyler Johnson	X				100.00	81	65	46	65	72	79	77	80	73	80	75	75	68	94	86	0	22	73	2	33	2	1,176,000$
3	Shayne Gostisbehere				X	100.00	90	67	20	78	84	83	96	93	39	93	65	73	47	90	81	0	64	78	2	29	5	1,500,000$
Équipe Mineure
1	J.T. Miller	X	X	X		100.00	92	92	17	59	79	85	78	92	63	91	81	81	55	91	90	0	55	77	2	31	1	918,750$
2	Evgeny Dadonov		X	X		100.00	18	1	99	65	72	77	79	94	54	86	87	78	65	99	93	0	37	76	0	35	1	1,395,960$
3	Nikita Filatov		X			100.00	12	5	99	61	76	78	80	91	24	85	90	75	76	99	98	0	53	75	0	33	1	1,257,000$
4	Dylan Cozens (R)	X		X		100.00	33	29	81	92	89	89	92	78	59	85	76	62	72	89	90	0	52	75	1	23	5	775,000$
5	Anton Lundell (R)	X	X			100.00	40	1	76	85	84	95	94	76	64	74	72	75	60	78	79	0	50	73	1	22	1	750,000$
6	Emil Bemström (R)	X				100.00	47	13	78	84	84	87	88	73	68	67	61	54	54	89	68	0	53	68	2	24	2	780,000$
7	Ondrej Kase		X	X		100.00	54	33	70	69	74	86	84	65	35	66	66	62	61	89	76	0	53	66	2	28	3	851,000$
8	Miles Wood		X			100.00	85	56	61	76	74	74	78	64	61	60	56	64	56	86	86	0	46	65	2	28	3	840,000$
9	Zach Ostapchuk (R)	X				100.00	52	41	82	81	83	73	83	61	63	60	61	64	66	58	66	0	56	64	2	21	2	700,000$
10	Nikita Alexandrov (R)	X				100.00	41	12	78	79	84	65	63	64	66	65	58	54	58	60	62	0	53	62	2	22	3	500,000$
11	Matthew Savoie (R)	X				100.00	27	1	94	68	66	69	70	65	55	63	62	59	66	68	70	0	31	61	1	20	3	900,000$
12	Logan Stankoven (R)	X				100.00	59	64	54	69	72	66	74	65	59	58	56	53	52	62	57	0	53	60	2	20	2	700,000$
13	Ty Smith (R)				X	100.00	10	1	97	85	88	94	94	70	25	87	61	61	45	89	80	0	53	71	2	24	4	750,000$
14	Victor Söderström (R)				X	100.00	10	1	99	87	84	88	90	73	44	77	60	73	48	80	81	0	53	70	1	23	5	750,000$
15	Jamie Drysdale (R)				X	100.00	45	11	74	87	89	89	82	71	40	68	62	63	55	77	67	0	54	69	1	22	1	750,000$
16	Ville Heinola				X	100.00	43	1	92	80	82	79	77	67	39	78	58	62	44	82	77	0	35	67	1	23	5	750,000$
17	William Wallinder (R)				X	100.00	42	28	77	83	85	79	84	57	44	55	55	62	45	75	74	0	54	66	2	21	1	650,000$
18	Colby Robak				X	100.00	53	45	68	58	81	49	74	54	50	54	39	81	48	94	92	0	40	64	0	33	1	500,000$
19	Dmitrij Jaskin			X		100.00	99	94	4	66	80	82	77	82	38	87	86	87	54	82	83	0	43	76	2	31	4	1,065,000$
20	Filip Bystedt (R)	X				100.00	46	33	67	70	70	67	72	62	67	58	60	62	64	69	65	0	20	61	1	20	3	800,000$
21	Jesse Ylönen (R)			X		100.00	32	1	98	73	83	76	67	50	39	64	57	56	55	79	71	0	19	60	2	24	2	600,000$
22	Benoit-Olivier Groulx (R)	X				100.00	76	50	75	65	76	58	60	63	58	60	61	52	67	67	62	0	20	60	2	24	1	650,000$
23	Samu Salminen (R)	X				100.00	13	2	99	72	74	63	64	62	54	60	58	62	48	56	52	0	20	58	2	20	2	550,000$
24	Alex Beaucage (R)			X		100.00	32	18	78	70	73	62	65	62	45	59	55	57	55	55	65	0	20	58	2	22	2	600,000$
25	Jonatan Berggren (R)		X	X		100.00	12	6	85	66	74	54	70	59	45	55	53	61	58	67	67	0	19	57	2	23	3	700,000$
26	Kyle Capobianco				X	100.00	57	49	71	71	79	68	74	63	44	64	53	62	44	72	74	0	36	64	2	26	2	781,000$
27	Alec Regula (R)				X	100.00	53	28	64	65	76	65	70	54	33	54	52	67	43	89	60	0	20	62	2	24	1	715,000$
28	Jack Thompson (R)				X	100.00	50	44	88	65	72	67	62	64	44	53	56	60	45	62	58	0	20	59	2	21	2	600,000$

	MOYENNE D’ÉQUIPE					100.00	46	24	79	76	80	82	83	78	52	78	72	70	59	85	82	0	54	72

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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Leland Irving	100.00	67	94	89	75	77	97	98	95	99	82	78	99	99	0	81	87	1	35	2	1,290,938$
2	Mackenzie Blackwood	100.00	75	96	97	86	89	88	88	89	83	80	75	98	92	0	81	86	1	27	6	1,950,000$
Rayé
Équipe Mineure
1	Scott Wedgewood	100.00	61	65	70	80	70	78	81	86	72	67	58	93	79	0	71	74	2	31	4	750,000$
2	Devon Levi (R)	100.00	64	58	59	75	63	57	56	54	56	54	58	65	59	0	35	59	2	22	1	500,000$
3	Sebastian Cossa (R)	100.00	64	64	65	84	71	65	69	68	71	65	62	66	69	0	47	68	1	21	2	800,000$
4	Michael Hutchinson	100.00	64	72	70	80	71	62	63	64	61	60	64	99	79	0	20	67	0	34	1	780,000$

	MOYENNE D’ÉQUIPE	100.00	66	75	75	80	74	75	76	76	74	68	66	87	80	0	56	74

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Todd McLellan	93	99	88	89	99	99	32	CAN	51	3	1,100,000$

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	P/20	FT	S1	S2	S3
1	Matt Duchene	BANGOR BEAGLES	C/LW/RW	10	3	10	13	-1	0	0	6	13	31	9	18	9.68%	9	199	19.92	0	0	0	2	24	0	0	0	0	8	0	0	55.03%	189	1	1	1.31	0	0	1	3
2	Sam Reinhart	BANGOR BEAGLES	C/RW	10	3	6	9	-5	4	0	12	8	28	6	26	10.71%	4	193	19.33	0	1	1	1	31	0	0	0	0	1	1	0	46.15%	13	7	5	0.93	0	0	1	0
3	Filip Forsberg	BANGOR BEAGLES	C/LW/RW	10	4	5	9	-1	2	0	26	10	26	11	24	15.38%	5	201	20.19	1	0	1	1	23	0	0	0	0	12	0	0	50.00%	14	5	3	0.89	0	0	0	1
4	Denis Gurianov	BANGOR BEAGLES	LW/RW	10	6	3	9	2	2	0	7	6	23	6	17	26.09%	3	141	14.14	0	0	0	0	0	1	0	1	1	0	1	0	40.00%	10	6	1	1.27	0	1	0	1
5	Jordan Kyrou	BANGOR BEAGLES	C/LW/RW	10	2	5	7	0	4	0	4	3	23	11	17	8.70%	1	160	16.07	0	0	0	2	24	0	0	0	0	0	1	0	58.33%	96	4	4	0.87	0	0	0	0
6	Alex Ovechkin	BANGOR BEAGLES	LW/RW	10	4	3	7	-3	2	0	14	9	26	16	17	15.38%	1	198	19.83	0	1	1	1	31	0	1	1	0	5	0	0	31.25%	16	10	6	0.71	0	0	1	0
7	Evgeni Malkin	BANGOR BEAGLES	C/LW/RW	10	3	3	6	-4	0	0	19	23	28	12	16	10.71%	5	207	20.74	0	0	0	5	21	0	0	0	0	20	1	0	53.85%	195	5	7	0.58	0	0	1	0
8	Jonathan Blum	BANGOR BEAGLES	D	10	3	3	6	1	0	0	2	12	17	3	7	17.65%	12	234	23.43	1	0	1	1	34	0	0	0	0	5	0	0	0%	0	6	5	0.51	0	0	0	0
9	Keith Yandle	BANGOR BEAGLES	D	10	2	3	5	-2	0	0	13	19	17	4	4	11.76%	18	242	24.27	0	1	1	1	20	0	0	0	0	20	0	1	0%	0	3	6	0.41	0	1	0	0
10	Zach Werenski	BANGOR BEAGLES	D	10	0	5	5	3	4	0	15	11	16	5	11	0%	4	246	24.63	0	0	0	5	35	0	0	0	0	2	0	0	0%	0	5	5	0.41	0	0	0	0
11	Jeff Skinner	BANGOR BEAGLES	C/LW/RW	10	2	3	5	3	0	0	2	7	17	6	18	11.76%	6	134	13.45	0	0	0	0	2	0	0	0	2	20	0	0	58.82%	34	0	2	0.74	0	0	0	0
12	Kaapo Kakko	BANGOR BEAGLES	RW	10	1	3	4	1	0	0	4	5	15	10	10	6.67%	0	95	9.55	0	0	0	1	8	0	0	0	0	0	1	0	100.00%	1	3	0	0.84	0	1	0	0
13	Derrick Pouliot	BANGOR BEAGLES	D	10	0	3	3	0	13	5	10	10	3	1	3	0%	9	153	15.38	0	0	0	0	0	0	0	0	0	10	0	0	0%	0	0	6	0.39	1	0	0	0
14	P.K. Subban	BANGOR BEAGLES	D	10	0	3	3	-6	10	0	14	11	4	3	3	0%	10	194	19.47	0	1	1	0	20	0	0	0	0	10	0	0	0%	0	0	6	0.31	0	0	0	0
15	Tyler Seguin	BANGOR BEAGLES	C/RW	10	2	0	2	0	0	0	0	6	6	6	7	33.33%	0	82	8.29	0	0	0	0	0	0	0	0	0	0	0	0	81.25%	32	0	0	0.48	0	0	1	0
16	Pavel Buchnevich	BANGOR BEAGLES	LW/RW	10	2	0	2	3	2	0	15	5	11	2	5	18.18%	2	109	11.00	0	0	0	0	0	0	0	0	0	0	0	0	0%	1	2	1	0.36	0	1	0	0
17	Roope Hintz	BANGOR BEAGLES	C/LW	10	0	1	1	0	0	0	9	5	8	4	4	0%	1	85	8.50	0	0	0	0	1	0	0	0	0	0	0	0	100.00%	1	0	0	0.24	0	0	0	0
18	Ryan McDonagh	BANGOR BEAGLES	D	10	0	0	0	-2	0	0	1	19	5	2	1	0%	8	159	15.90	0	0	0	1	0	0	0	0	0	20	0	0	0%	0	2	2	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				180	37	59	96	-11	43	5	173	182	304	117	208	12.17%	98	3040	16.89	2	4	6	21	282	1	1	2	3	138	5	1	55.65%	602	59	60	0.63	1	4	5	5

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	GA	SA	SAR	A	PS %	ST	BG	S1
1	Leland Irving	BANGOR BEAGLES	9	4	3	1	0.880	3.24	426	23	192	87	1	0	8	2	1
2	Mackenzie Blackwood	BANGOR BEAGLES	5	1	1	0	0.833	4.81	187	15	90	33	1	0	2	8	0
Statistiques d’équipe totales ou en moyenne			14	5	4	1	0.865	3.71	614	38	282	120	2		10	10	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	Date du Signature du Contrat	Type	Salaire actuel	Salaire restant	Salaire moyen	Salaire moyen restant	Plafond salarial Non Activé	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Salaire annuel 9	Salaire annuel 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	Lien
Alex Ovechkin	BANGOR BEAGLES	LW/RW	38	9/17/1985	No	244 Lbs	6 ft2	No	No	N/A		No	No	6	3/16/2024	Pro Only	2,736,300$	781,800$			2,736,300$	781,800$	No	2,736,300$	2,736,300$	2,736,300$	2,736,300$	2,736,300$	-	-	-	-	No	No	No	No	No	-	-	-	-	Lien NHL
Denis Gurianov	BANGOR BEAGLES	LW/RW	26	6/7/1997 2:21:26 AM	No	219 Lbs	6 ft6	No	No	N/A		No	No	1		Pro Only	675,000$	192,857$	40,000$	11,429$	675,000$	192,857$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Derrick Pouliot	BANGOR BEAGLES	D	30	1/16/1994 3:36:47 AM	No	192 Lbs	6 ft0	No	No	N/A		No	No	1		Pro & Farm	937,500$	267,857$	40,000$	11,429$	937,500$	267,857$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Evgeni Malkin	BANGOR BEAGLES	C/LW/RW	37	7/31/1986	No	211 Lbs	6 ft3	No	No	N/A		No	No	3		Pro Only	2,420,000$	691,429$			2,420,000$	691,429$	No	2,420,000$	2,420,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien NHL
Filip Forsberg	BANGOR BEAGLES	C/LW/RW	29	8/13/1994 3:45:38 AM	No	219 Lbs	6 ft4	No	No	N/A		No	No	6	3/16/2024	Pro Only	2,310,350$	660,100$	40,000$	11,429$	2,310,350$	660,100$	No	2,310,350$	2,310,350$	2,310,350$	2,310,350$	2,310,350$	-	-	-	-	No	No	No	No	No	-	-	-	-
Jeff Skinner	BANGOR BEAGLES	C/LW/RW	31	5/16/1992	No	212 Lbs	5 ft11	No	No	N/A		No	No	6	3/16/2024	Pro Only	2,126,993$	607,712$			2,126,993$	607,712$	No	2,126,993$	2,126,993$	2,126,993$	2,126,993$	2,126,993$	-	-	-	-	No	No	No	No	No	-	-	-	-
Jonathan Blum	BANGOR BEAGLES	D	35	1/30/1989	No	198 Lbs	6 ft1	No	No	N/A		No	No	2		Pro Only	1,159,375$	331,250$			1,159,375$	331,250$	No	1,159,375$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jordan Kyrou	BANGOR BEAGLES	C/LW/RW	25	5/5/1998 9:25:56 AM	No	213 Lbs	6 ft1	No	No	N/A		No	No	2		Pro Only	700,000$	200,000$	40,000$	11,429$	700,000$	200,000$	No	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Kaapo Kakko	BANGOR BEAGLES	RW	23	2/11/2001 2:54:03 AM	Yes	209 Lbs	6 ft4	No	No	N/A		No	No	5		Pro & Farm	750,000$	214,286$	40,000$	11,429$	750,000$	214,286$	No	750,000$	750,000$	750,000$	750,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Keith Yandle	BANGOR BEAGLES	D	37	9/9/1986	No	209 Lbs	6 ft1	No	No	Trade	3/4/2024	No	No	3		Pro Only	1,525,000$	435,714$	40,000$	11,429$	1,525,000$	435,714$	No	1,525,000$	1,525,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Leland Irving	BANGOR BEAGLES	G	35	12/11/1988	No	193 Lbs	6 ft0	No	No	N/A		No	No	2		Pro Only	1,290,938$	368,839$			1,290,938$	368,839$	No	1,290,938$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Mackenzie Blackwood	BANGOR BEAGLES	G	27	12/9/1996 4:15:49 AM	No	235 Lbs	6 ft6	No	No	N/A		No	No	6	3/16/2024	Pro Only	1,950,000$	557,143$	40,000$	11,429$	1,950,000$	557,143$	No	1,950,000$	1,950,000$	1,950,000$	1,950,000$	1,950,000$	-	-	-	-	No	No	No	No	No	-	-	-	-
Matt Duchene	BANGOR BEAGLES	C/LW/RW	33	1/16/1991	No	222 Lbs	5 ft11	No	No	N/A		No	No	4		Pro Only	3,395,490$	970,140$			3,395,490$	970,140$	No	3,395,490$	3,395,490$	3,395,490$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
P.K. Subban	BANGOR BEAGLES	D	34	5/13/1989	No	224 Lbs	6 ft0	No	No	N/A		No	No	2		Pro Only	1,325,000$	378,571$			1,325,000$	378,571$	No	1,325,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Pavel Buchnevich	BANGOR BEAGLES	LW/RW	28	6/22/1995 7:38:09 AM	No	205 Lbs	6 ft2	No	No	N/A		No	No	1		Pro Only	550,000$	157,143$	40,000$	11,429$	550,000$	157,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Roope Hintz	BANGOR BEAGLES	C/LW	27	11/17/1996 4:51:33 AM	No	207 Lbs	6 ft6	No	No	N/A		No	No	4		Pro & Farm	1,312,500$	375,000$	40,000$	11,429$	1,312,500$	375,000$	No	1,312,500$	1,312,500$	1,312,500$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Ryan McDonagh	BANGOR BEAGLES	D	34	6/13/1989	No	228 Lbs	6 ft1	No	No	N/A		No	No	3		Pro & Farm	1,957,500$	559,286$	40,000$	11,429$	1,957,500$	559,286$	No	1,957,500$	1,957,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Sam Reinhart	BANGOR BEAGLES	C/RW	28	11/6/1995 1:23:41 AM	No	206 Lbs	6 ft5	No	No	N/A		No	No	3		Pro Only	1,950,000$	557,143$	40,000$	11,429$	1,950,000$	557,143$	No	1,950,000$	1,950,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Shayne Gostisbehere	BANGOR BEAGLES	D	29	9/12/1994 7:25:36 AM	No	242 Lbs	6 ft4	No	No	N/A		No	No	5		Pro & Farm	1,500,000$	428,571$	40,000$	11,429$	1,500,000$	428,571$	No	1,500,000$	1,500,000$	1,500,000$	1,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Tyler Johnson	BANGOR BEAGLES	C	33	7/29/1990 2:33:00 AM	No	193 Lbs	5 ft9	No	No	N/A		No	No	2		Pro Only	1,176,000$	336,000$	40,000$	11,429$	1,176,000$	336,000$	No	1,176,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Tyler Seguin	BANGOR BEAGLES	C/RW	32	1/31/1992	No	204 Lbs	6 ft1	No	No	N/A		No	No	5		Pro Only	2,292,000$	654,857$	40,000$	11,429$	2,292,000$	654,857$	No	2,292,000$	2,292,000$	2,292,000$	2,292,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Vladislav Namestnikov	BANGOR BEAGLES	C/LW	31	11/22/1992 12:56:01 PM	No	194 Lbs	6 ft0	No	No	N/A		No	No	2		Pro Only	1,193,400$	340,971$	40,000$	11,429$	1,193,400$	340,971$	No	1,193,400$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Zach Werenski	BANGOR BEAGLES	D	26	6/19/1997 2:09:45 AM	No	232 Lbs	6 ft4	No	No	N/A		No	No	5		Pro Only	2,053,750$	586,786$	40,000$	11,429$	2,053,750$	586,786$	No	2,053,750$	2,053,750$	2,053,750$	2,053,750$	-	-	-	-	-	No	No	No	No	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	30.78	214 Lbs	6 ft2	3.43	1,621,178$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
37,287,096$	35,124,596$	28,279,883$	20,427,383$	15,719,393$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alex Ovechkin	Evgeni Malkin	Sam Reinhart	35	1	2	2
2	Filip Forsberg	Matt Duchene	Jordan Kyrou	35	1	2	2
3	Denis Gurianov	Jeff Skinner	Pavel Buchnevich	20	1	2	2
4	Roope Hintz	Tyler Seguin	Kaapo Kakko	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zach Werenski	Jonathan Blum	40	1	2	2
2	P.K. Subban	Keith Yandle	30	1	2	2
3	Derrick Pouliot	Ryan McDonagh	20	1	2	2
4	Jonathan Blum	Keith Yandle	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alex Ovechkin	Matt Duchene	Sam Reinhart	60	1	1	3
2	Jordan Kyrou	Filip Forsberg	Kaapo Kakko	40	1	1	3

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zach Werenski	Jonathan Blum	60	1	1	3
2	Keith Yandle	P.K. Subban	40	1	1	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Evgeni Malkin	Jeff Skinner	60	1	2	2
2	Matt Duchene	Filip Forsberg	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan McDonagh	Keith Yandle	60	1	2	2
2	Derrick Pouliot	P.K. Subban	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Evgeni Malkin	60	1	2	2	Ryan McDonagh	Derrick Pouliot	60	1	2	2
2	Jeff Skinner	40	1	2	2	Keith Yandle	P.K. Subban	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Filip Forsberg	Evgeni Malkin	60	1	2	2
2	Matt Duchene	Sam Reinhart	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zach Werenski	Ryan McDonagh	60	1	2	2
2	P.K. Subban	Keith Yandle	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Filip Forsberg	Evgeni Malkin	Alex Ovechkin	Zach Werenski	Jonathan Blum

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Evgeni Malkin	Matt Duchene	Alex Ovechkin	P.K. Subban	Keith Yandle

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Matt Duchene, Jeff Skinner, Filip Forsberg	Jeff Skinner, Denis Gurianov	Alex Ovechkin

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jonathan Blum, Ryan McDonagh, Zach Werenski	Ryan McDonagh	Jonathan Blum, Zach Werenski

Tirs de pénalité
Alex Ovechkin, Evgeni Malkin, Matt Duchene, Tyler Seguin, Sam Reinhart

Gardien
#1 : Mackenzie Blackwood, #2 : Leland Irving

Lignes d’attaque personnalisées en prolongation
Matt Duchene, Alex Ovechkin, Filip Forsberg, Evgeni Malkin, Sam Reinhart, Denis Gurianov, Denis Gurianov, Jeff Skinner, Jordan Kyrou, Kaapo Kakko, Roope Hintz

Lignes de défense personnalisées en prolongation
Zach Werenski, Jonathan Blum, Keith Yandle, P.K. Subban, Ryan McDonagh

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	PENSACOLA BADGERS	7	4	3	0	0	0	0	0	22	25	-3	4	2	2	0	0	0	0	0	13	13	0	3	2	1	0	0	0	0	0	9	12	-3	8	0.571	22	35	57	0	0	6	9	7	0	216	72	83	50	11	190	58	27	122	26	1	3.85%	11	1	90.91%	0	127	233	54.51%	114	205	55.61%	94	164	57.32%	171	105	143	60	120	63
2	PHILADELPHIA MADMEN	3	1	2	0	0	0	0	0	15	13	2	2	0	2	0	0	0	0	0	5	7	-2	1	1	0	0	0	0	0	0	10	6	4	2	0.333	15	24	39	0	0	4	6	5	0	88	35	23	30	0	92	40	16	51	4	1	25.00%	8	0	100.00%	1	127	233	54.51%	114	205	55.61%	94	164	57.32%	65	40	65	25	48	23
	Total	10	5	5	0	0	0	0	0	37	38	-1	6	2	4	0	0	0	0	0	18	20	-2	4	3	1	0	0	0	0	0	19	18	1	10	0.500	37	59	96	0	0	10	15	12	0	304	107	106	80	11	282	98	43	173	30	2	6.67%	19	1	94.74%	1	127	233	54.51%	114	205	55.61%	94	164	57.32%	236	146	209	85	169	86
	_Since Last GM Reset	10	5	5	0	0	0	0	0	37	38	-1	6	2	4	0	0	0	0	0	18	20	-2	4	3	1	0	0	0	0	0	19	18	1	10	0.500	37	59	96	0	0	10	15	12	0	304	107	106	80	11	282	98	43	173	30	2	6.67%	19	1	94.74%	1	127	233	54.51%	114	205	55.61%	94	164	57.32%	236	146	209	85	169	86
	_Vs Conference	10	5	5	0	0	0	0	0	37	38	-1	6	2	4	0	0	0	0	0	18	20	-2	4	3	1	0	0	0	0	0	19	18	1	10	0.500	37	59	96	0	0	10	15	12	0	304	107	106	80	11	282	98	43	173	30	2	6.67%	19	1	94.74%	1	127	233	54.51%	114	205	55.61%	94	164	57.32%	236	146	209	85	169	86
	_Vs Division	10	5	5	0	0	0	0	0	37	38	-1	6	2	4	0	0	0	0	0	18	20	-2	4	3	1	0	0	0	0	0	19	18	1	10	0.500	37	59	96	0	0	10	15	12	0	304	107	106	80	11	282	98	43	173	30	2	6.67%	19	1	94.74%	1	127	233	54.51%	114	205	55.61%	94	164	57.32%	236	146	209	85	169	86

			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
10	10	W1	37	59	96	304	282	98	43	173	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	5	5	0	0	0	0	37	38

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	4	0	0	0	0	18	20

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	19	18

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
5	4	0	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
30	2	6.67%	19	1	94.74%	1

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
107	106	80	11	10	15	12	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
127	233	54.51%	114	205	55.61%	94	164	57.32%

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
236	146	209	85	169	86

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	1	PENSACOLA BADGERS	6	BANGOR BEAGLES	5	BL	X	Sommaire du match
3	9	PENSACOLA BADGERS	1	BANGOR BEAGLES	4	BW		Sommaire du match
5	17	BANGOR BEAGLES	4	PENSACOLA BADGERS	2	AW		Sommaire du match
7	25	BANGOR BEAGLES	1	PENSACOLA BADGERS	7	AL		Sommaire du match
9	33	PENSACOLA BADGERS	5	BANGOR BEAGLES	2	BL		Sommaire du match
11	41	BANGOR BEAGLES	4	PENSACOLA BADGERS	3	AW		Sommaire du match
13	49	PENSACOLA BADGERS	1	BANGOR BEAGLES	2	BW		Sommaire du match
15	57	PHILADELPHIA MADMEN	2	BANGOR BEAGLES	1	BL		Sommaire du match
17	61	PHILADELPHIA MADMEN	5	BANGOR BEAGLES	4	BL		Sommaire du match
19	65	BANGOR BEAGLES	10	PHILADELPHIA MADMEN	6	AW		Sommaire du match
21	69	BANGOR BEAGLES	-	PHILADELPHIA MADMEN	-
23	73	PHILADELPHIA MADMEN	-	BANGOR BEAGLES	-
25	77	BANGOR BEAGLES	-	PHILADELPHIA MADMEN	-
27	81	PHILADELPHIA MADMEN	-	BANGOR BEAGLES	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	100	60	35	25	200
Assistance	36,000	30,000	12,000	24,000	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	18000 - 100.00%	1,270,000$	7,620,000$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	37,287,096$	640,000$	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$	682,324$	23	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	8	0$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	385,100,644$	385,100,644$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	45,000,000$	45,000,000$	-15,000,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Evgeni Malkin	AGE:37	PO:0	OV:89
Filip Forsberg	AGE:29	PO:0	OV:88
Alex Ovechkin	AGE:38	PO:0	OV:86
Matt Duchene	AGE:33	PO:0	OV:85
Denis Gurianov	AGE:26	PO:0	OV:82
Jordan Kyrou	AGE:25	PO:0	OV:81
Jeff Skinner	AGE:31	PO:0	OV:81
Pavel Buchnevich	AGE:28	PO:0	OV:79
J.T. Miller	AGE:31	PO:0	OV:77
Evgeny Dadonov	AGE:35	PO:0	OV:76
Nikita Filatov	AGE:33	PO:0	OV:75
Roope Hintz	AGE:27	PO:0	OV:75
Vladislav Namestnikov	AGE:31	PO:0	OV:74
Anton Lundell (R)	AGE:22	PO:0	OV:73
Ondrej Kase	AGE:28	PO:0	OV:66
Miles Wood	AGE:28	PO:0	OV:65
Jonatan Berggren (R)	AGE:23	PO:0	OV:57

Evgeni Malkin	AGE:37	PO:0	OV:89
Filip Forsberg	AGE:29	PO:0	OV:88
Matt Duchene	AGE:33	PO:0	OV:85
Sam Reinhart	AGE:28	PO:0	OV:84
Jordan Kyrou	AGE:25	PO:0	OV:81
Jeff Skinner	AGE:31	PO:0	OV:81
Tyler Seguin	AGE:32	PO:0	OV:77
J.T. Miller	AGE:31	PO:0	OV:77
Dylan Cozens (R)	AGE:23	PO:0	OV:75
Roope Hintz	AGE:27	PO:0	OV:75
Vladislav Namestnikov	AGE:31	PO:0	OV:74
Tyler Johnson	AGE:33	PO:0	OV:73
Anton Lundell (R)	AGE:22	PO:0	OV:73
Emil Bemström (R)	AGE:24	PO:0	OV:68
Zach Ostapchuk (R)	AGE:21	PO:0	OV:64
Nikita Alexandrov (R)	AGE:22	PO:0	OV:62
Matthew Savoie (R)	AGE:20	PO:0	OV:61
Filip Bystedt (R)	AGE:20	PO:0	OV:61
Logan Stankoven (R)	AGE:20	PO:0	OV:60
Benoit-Olivier Groulx (R)	AGE:24	PO:0	OV:60
Samu Salminen (R)	AGE:20	PO:0	OV:58

Evgeni Malkin	AGE:37	PO:0	OV:89
Filip Forsberg	AGE:29	PO:0	OV:88
Alex Ovechkin	AGE:38	PO:0	OV:86
Matt Duchene	AGE:33	PO:0	OV:85
Sam Reinhart	AGE:28	PO:0	OV:84
Denis Gurianov	AGE:26	PO:0	OV:82
Jordan Kyrou	AGE:25	PO:0	OV:81
Jeff Skinner	AGE:31	PO:0	OV:81
Pavel Buchnevich	AGE:28	PO:0	OV:79
Kaapo Kakko (R)	AGE:23	PO:0	OV:78
Tyler Seguin	AGE:32	PO:0	OV:77
J.T. Miller	AGE:31	PO:0	OV:77
Evgeny Dadonov	AGE:35	PO:0	OV:76
Dmitrij Jaskin	AGE:31	PO:0	OV:76
Dylan Cozens (R)	AGE:23	PO:0	OV:75
Ondrej Kase	AGE:28	PO:0	OV:66
Jesse Ylönen (R)	AGE:24	PO:0	OV:60
Alex Beaucage (R)	AGE:22	PO:0	OV:58
Jonatan Berggren (R)	AGE:23	PO:0	OV:57

Défense #1

Défense #2

Gardien

Keith Yandle	AGE:37	PO:0	OV:86
Zach Werenski	AGE:26	PO:0	OV:86
Jonathan Blum	AGE:35	PO:0	OV:81
P.K. Subban	AGE:34	PO:0	OV:81
Shayne Gostisbehere	AGE:29	PO:0	OV:78
Ryan McDonagh	AGE:34	PO:0	OV:74
Derrick Pouliot	AGE:30	PO:0	OV:73
Ty Smith (R)	AGE:24	PO:0	OV:71

Victor Söderström (R)	AGE:23	PO:0	OV:70
Jamie Drysdale (R)	AGE:22	PO:0	OV:69
Ville Heinola	AGE:23	PO:0	OV:67
William Wallinder (R)	AGE:21	PO:0	OV:66
Colby Robak	AGE:33	PO:0	OV:64
Kyle Capobianco	AGE:26	PO:0	OV:64
Alec Regula (R)	AGE:24	PO:0	OV:62
Jack Thompson (R)	AGE:21	PO:0	OV:59

Leland Irving	AGE:35	PO:0	OV:87
Mackenzie Blackwood	AGE:27	PO:0	OV:86
Scott Wedgewood	AGE:31	PO:0	OV:74
Sebastian Cossa (R)	AGE:21	PO:0	OV:68
Michael Hutchinson	AGE:34	PO:0	OV:67
Devon Levi (R)	AGE:22	PO:0	OV:59

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	Choix total	Information	Date de la Dernière Transaction	Lien

Choix au repêchage

Année	R1	R2	R3	R4	R5
13
14
15
16
17
Choix au repêchage conditionnel

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

BANGOR BEAGLES Historique de transactions

[4/12/2024 11:52:04 AM] - BANGOR PUPPIES didn't make playoff for year 12.
[3/4/2024 7:58:33 AM] - TRADE : From BANGOR BEAGLES to CHICAGO CRUSHERS : Matt Taormina (71), Seamus Casey (59), Ryder Korczak (58).
[3/4/2024 7:58:33 AM] - TRADE : From CHICAGO CRUSHERS to BANGOR BEAGLES : Colby Robak (64), Keith Yandle (86).
[7/21/2023 9:32:18 AM] - Jonatan Berggren was added to BANGOR BEAGLES.
[7/19/2023 6:44:53 AM] - Seamus Casey was added to BANGOR BEAGLES.
[7/19/2023 6:44:27 AM] - Filip Bystedt was added to BANGOR BEAGLES.
[7/17/2023 9:29:48 AM] - Matthew Savoie was added to BANGOR BEAGLES.
[7/6/2023 9:32:30 AM] - Kristian Vesalainen was released.
[7/6/2023 9:32:30 AM] - BANGOR BEAGLES paid $0 to release Kristian Vesalainen.
[7/6/2023 9:32:23 AM] - Colby Robak was released.
[7/6/2023 9:32:23 AM] - BANGOR BEAGLES paid $0 to release Colby Robak.
[6/29/2023 2:39:52 PM] - Miikka Salomaki was released.
[6/29/2023 2:39:52 PM] - BANGOR BEAGLES paid $0 to release Miikka Salomaki.
[4/27/2023 8:48:54 AM] - BANGOR PUPPIES was eliminated at round 1 of year 11.
[4/24/2023 7:24:26 AM] - BANGOR BEAGLES was eliminated at round 1 of year 11.

[4/23/2024 9:16:09 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:208.78.42.38 .
[4/23/2024 9:15:56 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:208.78.42.38 .
[4/22/2024 6:31:54 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:174.3.18.80 .
[4/22/2024 6:31:40 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:174.3.18.80 .
[4/19/2024 9:36:49 AM] Dmitrij Jaskin from BANGOR PUPPIES is back from Strained Groin Injury.
[4/18/2024 8:45:40 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:209.87.25.65 .
[4/18/2024 8:45:26 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:209.87.25.65 .
[4/13/2024 8:15:16 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:99.199.62.38 .
[4/13/2024 8:14:55 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:99.199.62.38 .
[4/3/2024 8:41:06 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:174.3.18.80 .
[4/2/2024 8:40:24 AM] Game 893 - Dmitrij Jaskin from BANGOR PUPPIES is injured (Strained Groin) and is out for 1 month.
[4/2/2024 8:40:15 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:99.199.62.38 .
[3/25/2024 7:13:49 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:174.3.18.80 .
[3/19/2024 6:26:58 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:24.70.37.183 .
[3/18/2024 6:02:41 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:24.70.37.183 .
[3/16/2024 7:48:43 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:72.132.176.136 .
[3/15/2024 6:41:57 AM] Ville Heinola from BANGOR PUPPIES is back from Strained Left Elbow Injury.
[3/12/2024 8:05:08 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:108.172.29.85 .
[3/11/2024 8:06:11 AM] Game 780 - Ville Heinola from BANGOR PUPPIES is injured (Strained Left Elbow) and is out for 1 week.
[3/9/2024 7:12:24 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:108.172.29.85 .
[3/9/2024 7:11:59 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:108.172.29.85 .
[3/9/2024 7:11:32 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:108.172.29.85 .
[3/7/2024 8:15:48 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:199.214.218.2 .
[3/6/2024 8:23:35 AM] Last 7 Days Farm Star : 1 - Ryan Donato of BROOKLYN GRINDERS (5-4-9) / 2 - Pyotr Kochetkov of COQUITLAM EXPRESS (0.954) / 3 - Dylan Cozens of BANGOR PUPPIES (4-3-7)
[3/5/2024 6:40:56 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:209.87.25.65 .
[3/4/2024 7:58:33 AM] TRADE : From BANGOR BEAGLES to CHICAGO CRUSHERS : Matt Taormina (71), Seamus Casey (59), Ryder Korczak (58).
[3/4/2024 7:58:33 AM] TRADE : From CHICAGO CRUSHERS to BANGOR BEAGLES : Colby Robak (64), Keith Yandle (86).
[3/4/2024 7:56:50 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:99.199.16.228 .
[2/28/2024 7:50:41 AM] Pro Game #721 - Sam Reinhart from BANGOR BEAGLES has scored a Hat Trick!
[2/28/2024 7:50:34 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:108.172.29.85 .
[2/26/2024 8:33:58 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:108.172.29.85 .

Pas de blessure ou de suspension.

BANGOR BEAGLES 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

BANGOR BEAGLES 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

BANGOR BEAGLES 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

BANGOR BEAGLES 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

BANGOR BEAGLES 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

	BANGOR BEAGLES
	GP: 10 \| W: 5 \| L: 5 GF: 37 \| GA: 38 \| PP%: 6.67% \| PK%: 94.74% DG: Clint T \| Morale : 96 \| Moyenne d’équipe : 81 #69 vs PHILADELPHIA MADMEN