Accueil
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
	Wuhan Clan 29-41-12, 70pts	1	FINAL	2	Apsos 46-22-14, 106pts

Team Stats
W4	Streak	L1
16-20-5	Home Record	18-17-6
13-21-7	Away Record	28-5-8
6-2-2	Last 10 Games	6-3-1
2.49	Buts par match	2.99
2.99	Buts contre par match	2.63
21.72%	Pourcentage en avantage numérique	23.24%
81.27%	Pourcentage en désavantage numérique	82.80%

Phantoms
40-32-10, 90pts

FINAL

Apsos
46-22-14, 106pts

Team Stats
W2	Streak	L1
20-15-6	Home Record	18-17-6
20-17-4	Away Record	28-5-8
6-4-0	Last 10 Games	6-3-1
2.89	Buts par match	2.99
3.11	Buts contre par match	2.63
15.94%	Pourcentage en avantage numérique	23.24%
81.12%	Pourcentage en désavantage numérique	82.80%

Meneurs d'équipe
	Buts Pavel Buchnevich 36	Passes Pavel Buchnevich 52

	Points Pavel Buchnevich 88	Plus/Moins Joel Eriksson Ek 20

	Victoires Alexandar Georgiev 39	Pourcentage d’arrêts Connor Ingram 0.92

Statistiques d’équipe
Buts pour 245 2.99 GFG	Tirs pour 2643 32.23 Avg	Pourcentage en avantage numérique 23.2% 56 GF	Début de zone offensive 40.7%
Buts contre 216 2.63 GAA	Tirs contre 2548 31.07 Avg	Pourcentage en désavantage numérique 82.8%% 43 GA	Début de la zone défensive 41.0%

Informations de l'équipe
	Directeur général	Simon Orrell
	Division	Jagr
	Conférence	Wales
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Yak Dome
	Capacité	18,000
	Assistance	13,880
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	14
	Limite contact	37 / 99
	Espoirs	11
Plafond salarial
	Cap Salarial de la Saison estimé	93,120,008$
	Plafond salarial disponible	28,879,992$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	57,737,771$
	Dépenses annuelles à ce jour	91,616,754$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	166,974,293$
	Compte bancaire projeté	166,974,293$
Historique d'équipe
	Saison actuelle	46-22-14 (106PTS)
	Historique	119-78-20 (0.548%)
	Apparitions en séries éliminatoires	4
	Historique en séries éliminatoires (W-L)	14-18
	Coupe Stanley	0

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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	Âge	Contrat	Salaire
1	Pavel Buchnevich		X	X		100.00	73	43	83	86	74	81	85	84	48	88	88	76	75	68	69	85	90	87	0	29	2	5,800,000$
2	Chris Kreider		X	X		100.00	81	45	89	91	80	79	97	91	43	68	91	75	63	79	80	84	90	84	0	33	4	6,500,000$
3	Moxie Manslammer	X	X			100.00	90	43	55	85	80	85	80	85	85	85	80	82	75	50	50	1	90	83	0	29	8	8,500,000$
4	Joel Eriksson Ek	X				100.00	80	45	83	84	77	81	95	90	87	82	80	83	75	68	70	83	90	80	0	27	6	5,250,000$
5	Nick Bjugstad	X		X		100.00	87	46	86	78	83	74	85	67	85	62	73	82	71	72	73	75	94	79	0	31	2	2,100,000$
6	Evgeny Kuznetsov	X				100.00	65	42	80	88	73	78	97	79	83	84	68	70	85	76	80	74	90	78	0	31	2	7,800,000$
7	Jakub Vrana		X			100.00	67	42	87	86	71	68	56	75	34	65	90	62	53	66	66	77	90	78	0	28	1	5,250,000$
8	Phillip Danault	X				100.00	75	54	78	84	74	78	98	77	96	81	73	77	53	71	73	77	90	78	0	31	4	5,500,000$
9	Mike Hoffman		X	X		100.00	63	41	87	80	70	73	84	81	55	75	72	63	39	74	75	73	91	76	0	34	1	4,500,000$
10	Kasperi Kapanen		X	X		100.00	80	44	91	90	71	66	90	69	40	74	74	71	25	68	70	75	90	75	0	27	1	3,200,000$
11	Brett Howden	X	X	X		100.00	85	56	72	80	75	65	68	59	66	61	60	75	25	65	65	66	90	74	0	26	2	1,900,000$
12	Jamie Oleksiak				X	100.00	82	90	77	77	95	78	90	61	25	55	53	95	25	71	71	68	90	87	0	31	3	4,600,000$
13	Adam Larsson				X	100.00	92	57	83	79	78	89	99	60	25	64	50	86	25	78	79	68	90	83	0	31	2	4,000,000$
14	Dmitry Kulikov				X	100.00	79	44	85	78	72	78	91	60	25	54	48	92	25	82	84	66	90	80	0	33	1	1,000,000$
15	Jack Johnson				X	100.00	79	45	89	74	81	78	96	58	25	46	47	88	61	88	89	63	90	79	0	37	1	775,000$
16	Marcus Pettersson				X	100.00	85	65	76	81	69	81	87	60	25	66	47	84	25	67	69	66	90	79	0	27	2	4,025,175$
17	TJ Brodie (R)				X	100.00	71	43	91	82	69	83	74	59	25	55	48	88	25	81	84	64	90	77	0	33	2	5,000,000$
18	Matt Roy				X	100.00	80	44	91	80	74	77	92	61	25	55	51	84	75	65	66	66	90	77	0	29	1	3,150,000$
Rayé
1	Ryan Donato	X	X	X		100.00	75	57	81	83	70	59	89	64	46	64	72	68	61	66	66	71	87	69	0	28	2	2,000,000$
2	Gustav Forsling				X	100.00	71	42	85	79	68	88	94	70	25	66	60	89	25	67	68	73	90	78	0	27	1	2,666,667$
Équipe Mineure
1	Cody Glass	X		X		100.00	71	43	90	84	72	68	90	77	81	74	71	66	75	60	61	73	90	75	0	25	2	2,500,000$
2	Shane Pinto (R)	X				100.00	73	44	92	84	76	73	62	77	87	64	75	68	25	56	56	73	90	73	0	23	1	1,325,000$
3	Benoit-Olivier Groulx	X				100.00	75	73	81	67	73	74	78	62	78	58	61	64	58	45	45	64	90	70	0	24	1	775,000$
4	Jesse Ylonen (R)			X		100.00	63	41	99	66	69	65	88	68	44	72	70	65	75	47	47	71	90	70	0	24	1	775,000$
5	Tyson Jost	X	X			100.00	73	57	85	85	68	65	93	58	64	70	59	75	75	68	71	68	91	70	0	26	1	2,000,000$
6	Jakub Lauko (R)	X	X			100.00	84	74	85	67	67	52	73	55	26	61	70	74	25	46	46	69	90	68	0	24	2	787,500$
7	Samuel Poulin (R)	X	X			100.00	79	75	87	63	75	60	63	52	65	38	62	64	59	44	44	60	90	68	0	23	2	863,333$
8	Tyler Angle (R)	X	X			100.00	70	62	87	63	62	79	86	54	68	48	56	60	53	44	44	60	90	66	0	23	1	850,833$
9	Alex Beaucage (R)		X	X		100.00	74	72	79	67	72	65	69	52	50	49	51	61	48	44	44	57	90	66	0	22	3	935,000$
10	Justin Barron (R)				X	100.00	78	44	85	77	75	70	74	65	25	62	50	70	25	48	48	63	90	71	0	22	1	925,000$
11	Alec Regula				X	100.00	74	77	66	70	77	67	71	52	25	47	42	62	40	46	46	55	90	68	0	23	1	775,000$
12	Reilly Walsh (R)				X	100.00	71	66	84	67	66	80	87	55	25	51	45	60	43	44	44	57	90	66	0	25	1	775,000$
13	Donovan Sebrango (R)				X	100.00	74	69	85	63	69	64	69	46	25	34	43	60	41	44	44	52	90	65	0	22	1	850,833$
14	Ryan O'Rourke (R)				X	100.00	73	65	91	66	65	69	76	45	25	36	39	59	37	44	44	51	90	64	0	21	3	894,167$

	MOYENNE D’ÉQUIPE					100.00	78	49	82	82	75	77	87	71	48	68	66	80	49	71	72	69	90	79

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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	Alexandar Georgiev	100.00	88	77	75	67	89	88	88	88	87	88	88	62	63	86	90	85	0	28	2	3,400,000$
2	Connor Ingram (R)	100.00	72	72	68	76	76	68	80	71	77	72	68	46	47	73	90	74	0	27	3	1,950,000$
Rayé
1	Kaapo Kahkonen	100.00	63	66	65	81	65	60	69	60	65	63	43	56	56	64	90	66	0	27	1	2,750,000$
Équipe Mineure

	MOYENNE D’ÉQUIPE	100.00	74	72	69	75	77	72	79	73	76	74	66	55	55	74	90	75

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

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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
1	Pavel Buchnevich	Apsos	LW/RW	82	36	52	88	-12	10	0	69	150	372	130	267	9.68%	21	1958	23.88	10	16	26	48	194	0	0	0	0	4	5	1	43.79%	169	16	5	0	1	0.90	2	8	0	0	0	8	9	5
2	Moxie Manslammer	Apsos	C/LW	80	27	51	78	-3	78	0	223	203	234	70	202	11.54%	18	1637	20.47	5	21	26	42	194	1	0	1	7	199	8	2	53.29%	2156	8	5	0	0	0.95	4	6	0	0	0	6	7	4
3	Joel Eriksson Ek	Apsos	C	82	24	47	71	20	20	0	124	231	302	96	218	7.95%	26	1607	19.60	10	11	21	49	189	1	1	2	5	161	4	2	56.02%	1853	10	4	0	0	0.88	0	2	0	0	0	4	6	4
4	Chris Kreider	Apsos	LW/RW	82	32	32	64	-4	8	0	40	139	342	107	253	9.36%	6	1616	19.71	9	13	22	57	200	0	1	1	11	154	6	1	34.58%	107	8	3	0	1	0.79	0	3	0	0	0	3	7	3
5	Jakub Vrana	Apsos	LW	82	21	26	47	18	8	0	31	63	216	77	159	9.72%	10	1321	16.11	2	13	15	35	185	0	0	0	0	5	5	2	34.09%	88	7	4	0	0	0.71	0	0	0	0	0	5	2	2
6	Phillip Danault	Apsos	C	82	13	28	41	6	55	5	99	153	194	53	118	6.70%	10	1287	15.71	0	0	0	3	19	1	0	1	1	3	1	0	59.06%	1319	5	2	0	0	0.64	0	0	1	0	0	3	1	2
7	Nick Bjugstad	Apsos	C/RW	82	18	21	39	14	64	10	194	114	190	57	142	9.47%	30	1925	23.49	1	4	5	29	178	0	1	1	3	197	1	0	51.21%	207	4	7	1	0	0.40	1	1	2	0	0	3	1	4
8	Dmitry Kulikov	Apsos	D	82	9	23	32	10	36	0	112	91	85	28	64	10.59%	99	1528	18.64	2	6	8	30	176	0	0	0	0	178	1	0	0.00%	0	0	5	1	0	0.42	0	0	0	0	0	2	2	2
9	Jamie Oleksiak	Apsos	D	81	7	24	31	3	65	25	96	81	94	34	72	7.45%	138	1599	19.74	5	4	9	40	201	1	0	1	3	203	1	0	0.00%	0	0	7	0	0	0.39	0	0	1	1	3	1	0	2
10	Adam Larsson	Apsos	D	82	9	20	29	-2	63	5	150	79	100	32	62	9.00%	80	1715	20.93	8	4	12	56	211	0	1	1	3	203	1	2	0.00%	0	2	13	0	0	0.34	0	0	1	0	0	2	2	1
11	Jack Johnson	Apsos	D	82	8	18	26	9	24	0	87	51	60	22	39	13.33%	78	1533	18.70	3	4	7	26	175	0	0	0	1	184	1	2	0.00%	0	1	19	0	0	0.34	0	0	0	0	0	0	1	2
12	Gustav Forsling	Apsos	D	77	3	22	25	11	12	0	37	64	34	14	21	8.82%	66	1091	14.17	0	0	0	2	9	0	0	0	1	62	2	0	0.00%	1	1	4	0	0	0.46	0	0	0	0	0	2	1	0
13	Mike Hoffman	Apsos	LW/RW	82	11	13	24	5	8	0	31	74	155	54	97	7.10%	10	1254	15.30	0	0	0	1	10	0	0	0	2	95	2	0	26.23%	122	9	4	0	0	0.38	0	0	0	0	0	0	1	1
14	Evgeny Kuznetsov	Apsos	C	82	7	10	17	0	0	0	32	46	76	25	49	9.21%	7	614	7.50	0	1	1	2	7	0	0	0	2	21	0	1	53.18%	613	3	2	0	0	0.55	1	7	0	0	0	1	1	2
15	Kasperi Kapanen	Apsos	LW/RW	52	6	9	15	-1	19	5	50	59	90	23	68	6.67%	5	736	14.16	0	0	0	1	1	0	0	0	0	4	0	2	38.46%	39	2	0	0	0	0.41	0	0	1	0	0	1	1	1
16	Marcus Pettersson	Apsos	D	78	4	11	15	10	67	5	128	48	29	7	22	13.79%	49	1007	12.91	0	0	0	0	1	0	0	0	0	1	2	0	0.00%	0	1	10	0	0	0.30	0	0	0	1	0	1	1	0
17	Matt Roy	Apsos	D	82	1	7	8	-3	18	0	60	38	16	13	21	6.25%	31	690	8.42	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	2	0	0	0.23	0	0	0	0	0	0	0	0
18	TJ Brodie	Apsos	D	82	1	6	7	-2	18	0	29	45	23	10	15	4.35%	60	753	9.19	1	1	2	2	12	0	1	1	0	22	0	0	0.00%	0	0	3	0	0	0.19	0	0	0	0	0	0	0	0
19	Brett Howden	Apsos	C/LW/RW	41	3	1	4	4	17	5	34	14	29	8	19	10.34%	2	449	10.97	0	0	0	0	2	0	0	0	0	0	1	0	52.94%	34	1	2	0	0	0.18	0	0	0	0	1	0	1	1
20	Ryan Donato	Apsos	C/LW/RW	1	1	0	1	1	0	0	1	2	2	0	2	50.00%	0	11	11.18	0	0	0	0	0	0	0	0	0	0	1	0	46.67%	15	0	0	0	0	1.79	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1476	241	421	662	84	590	60	1627	1745	2643	860	1910	9.12%	746	24339	16.49	56	98	154	423	1974	4	5	9	39	1704	42	15	53.71%	6723	79	101	2	2	0.54	8	27	6	2	4	42	44	36

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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	PIM	SO	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	Alexandar Georgiev	Apsos	72	39	19	13	0.916	2.59	4339	6	5	187	2236	194	2	0.750	20	72	10	8	5	5
2	Connor Ingram	Apsos	11	7	3	1	0.920	2.36	636	4	0	25	312	0	1	0.600	5	10	72	0	0	2
Statistiques d’équipe totales ou en moyenne			83	46	22	14	0.917	2.56	4975	10	5	212	2548	194	3		25	82	82	8	5	7

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Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	Salaire actuel	Salaire moyen	Plafond salarial	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	Link
Adam Larsson	Apsos	D	31	1992-11-11	No	208 Lbs	6 ft3	No	No	No	2	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	0$	No	4,000,000$							Lien / Lien NHL
Alexandar Georgiev	Apsos	G	28	1996-02-10	No	178 Lbs	6 ft1	No	No	No	2	Pro & Farm	3,400,000$	3,400,000$	3,400,000$	0$	No	3,400,000$							Lien / Lien NHL
Brett Howden	Apsos	C/LW/RW	26	1998-03-28	No	197 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,900,000$	1,900,000$	1,900,000$	0$	No	1,900,000$							Lien
Chris Kreider	Apsos	LW/RW	33	1991-04-29	No	217 Lbs	6 ft3	No	No	No	4	Pro & Farm	6,500,000$	6,500,000$	6,500,000$	0$	No	6,500,000$	6,500,000$	6,500,000$					Lien / Lien NHL
Connor Ingram	Apsos	G	27	1997-03-30	Yes	212 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,950,000$	1,950,000$	1,950,000$	0$	No	1,950,000$	1,950,000$						Lien / Lien NHL
Dmitry Kulikov	Apsos	D	33	1990-10-29	No	199 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	0$	No								Lien / Lien NHL
Evgeny Kuznetsov (contrat à 1 volet)	Apsos	C	31	1992-05-19	No	197 Lbs	6 ft2	No	No	No	2	Pro & Farm	7,800,000$	7,800,000$	7,800,000$	0$	No	7,800,000$							Lien / Lien NHL
Gustav Forsling	Apsos	D	27	1996-06-12	No	186 Lbs	6 ft0	No	No	No	1	Pro & Farm	2,666,667$	2,666,667$	2,666,667$	0$	No								Lien / Lien NHL
Jack Johnson	Apsos	D	37	1987-01-13	No	227 Lbs	6 ft1	No	No	No	1	Pro & Farm	775,000$	775,000$	775,000$	0$	No								Lien / Lien NHL
Jakub Vrana	Apsos	LW	28	1996-02-28	No	195 Lbs	6 ft0	No	No	No	1	Pro & Farm	5,250,000$	5,250,000$	5,250,000$	0$	No								Lien / Lien NHL
Jamie Oleksiak	Apsos	D	31	1992-12-21	No	255 Lbs	6 ft7	No	No	No	3	Pro & Farm	4,600,000$	4,600,000$	4,600,000$	0$	No	4,600,000$	4,600,000$						Lien / Lien NHL
Joel Eriksson Ek	Apsos	C	27	1997-01-29	No	210 Lbs	6 ft1	No	No	No	6	Pro & Farm	5,250,000$	5,250,000$	5,250,000$	0$	No	5,250,000$	5,250,000$	5,250,000$	5,250,000$	5,250,000$			Lien / Lien NHL
Kaapo Kahkonen	Apsos	G	27	1996-08-16	No	215 Lbs	6 ft2	No	No	No	1	Pro & Farm	2,750,000$	2,750,000$	2,750,000$	0$	No								Lien
Kasperi Kapanen	Apsos	LW/RW	27	1996-07-23	No	194 Lbs	6 ft1	No	No	No	1	Pro & Farm	3,200,000$	3,200,000$	3,200,000$	0$	No								Lien / Lien NHL
Marcus Pettersson	Apsos	D	27	1996-05-08	No	177 Lbs	6 ft3	No	No	No	2	Pro & Farm	4,025,175$	4,025,175$	4,025,175$	0$	No	4,025,175$							Lien / Lien NHL
Matt Roy	Apsos	D	29	1995-03-01	No	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	3,150,000$	3,150,000$	3,150,000$	0$	No								Lien
Mike Hoffman	Apsos	LW/RW	34	1989-11-24	No	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	4,500,000$	4,500,000$	4,500,000$	0$	No								Lien / Lien NHL
Moxie Manslammer	Apsos	C/LW	29	1994-12-07	No	205 Lbs	6 ft2	No	No	No	8	Pro & Farm	8,500,000$	8,500,000$	8,500,000$	0$	No	8,500,000$	8,500,000$	8,500,000$	8,500,000$	8,500,000$	8,500,000$	8,500,000$	Lien
Nick Bjugstad	Apsos	C/RW	31	1992-07-17	No	215 Lbs	6 ft6	No	No	No	2	Pro & Farm	2,100,000$	2,100,000$	2,100,000$	0$	No	2,100,000$							Lien / Lien NHL
Pavel Buchnevich	Apsos	LW/RW	29	1995-04-17	No	197 Lbs	6 ft3	No	No	No	2	Pro & Farm	5,800,000$	5,800,000$	5,800,000$	0$	No	5,800,000$							Lien / Lien NHL
Phillip Danault	Apsos	C	31	1993-02-24	No	201 Lbs	6 ft1	No	No	No	4	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	0$	No	5,500,000$	5,500,000$	5,500,000$					Lien / Lien NHL
Ryan Donato	Apsos	C/LW/RW	28	1996-04-09	No	192 Lbs	6 ft0	No	No	No	2	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	0$	No	2,000,000$							Lien / Lien NHL
TJ Brodie	Apsos	D	33	1990-07-06	Yes	185 Lbs	6 ft1	No	No	No	2	Pro & Farm	5,000,000$	5,000,000$	5,000,000$	0$	No	5,000,000$							Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	29.74	202 Lbs	6 ft2	2.35	3,983,341$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
91,616,842$	68,325,175$	32,300,000$	25,750,000$	13,750,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Pavel Buchnevich	Moxie Manslammer	Chris Kreider	30	1	2	2
2	Jakub Vrana	Joel Eriksson Ek	Nick Bjugstad	28	1	2	2
3	Mike Hoffman	Phillip Danault	Kasperi Kapanen	26	1	2	2
4	Pavel Buchnevich	Evgeny Kuznetsov	Nick Bjugstad	16	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jamie Oleksiak	Adam Larsson	30	1	2	2
2	Dmitry Kulikov	Jack Johnson	28	1	2	2
3	Marcus Pettersson	Adam Larsson	26	1	2	2
4	TJ Brodie	Matt Roy	16	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Pavel Buchnevich	Moxie Manslammer	Chris Kreider	55	1	2	2
2	Jakub Vrana	Joel Eriksson Ek	Nick Bjugstad	45	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jamie Oleksiak	Adam Larsson	55	1	2	2
2	Dmitry Kulikov	Jack Johnson	45	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Moxie Manslammer	Nick Bjugstad	55	1	2	2
2	Joel Eriksson Ek	Chris Kreider	45	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jamie Oleksiak	Adam Larsson	55	1	2	2
2	Dmitry Kulikov	Jack Johnson	45	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Joel Eriksson Ek	55	1	2	2	Jamie Oleksiak	Adam Larsson	55	1	2	2
2	Moxie Manslammer	45	1	2	2	Dmitry Kulikov	Jack Johnson	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Moxie Manslammer	Pavel Buchnevich	55	1	2	2
2	Joel Eriksson Ek	Chris Kreider	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jamie Oleksiak	Adam Larsson	55	1	2	2
2	Dmitry Kulikov	Jack Johnson	45	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Chris Kreider	Moxie Manslammer	Pavel Buchnevich	Jamie Oleksiak	Adam Larsson

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Nick Bjugstad	Moxie Manslammer	Joel Eriksson Ek	Jamie Oleksiak	Adam Larsson

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Joel Eriksson Ek, Phillip Danault, Mike Hoffman	Joel Eriksson Ek, Phillip Danault	Mike Hoffman

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jamie Oleksiak, Adam Larsson, Marcus Pettersson	TJ Brodie	Jamie Oleksiak, Adam Larsson

Tirs de pénalité
Pavel Buchnevich, Moxie Manslammer, Evgeny Kuznetsov, Joel Eriksson Ek, Nick Bjugstad

Gardien
#1 : Alexandar Georgiev, #2 : Connor Ingram

Lignes d’attaque personnalisées en prolongation
Moxie Manslammer, Pavel Buchnevich, Joel Eriksson Ek, Chris Kreider, Jakub Vrana, Evgeny Kuznetsov, Evgeny Kuznetsov, Nick Bjugstad, Mike Hoffman, Phillip Danault, Kasperi Kapanen

Lignes de défense personnalisées en prolongation
Adam Larsson, Jamie Oleksiak, Dmitry Kulikov, Marcus Pettersson, Jack Johnson

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	Aces	3	0	1	0	2	0	0	0	11	10	1	2	0	1	0	1	0	0	0	9	9	0	1	0	0	0	1	0	0	0	2	1	1	4	0.667	11	19	30	0	0	2	4	3	2	124	45	44	31	4	106	34	18	67	7	3	42.86%	8	2	75.00%	0	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	75	54	68	20	40	20
2	Bunnies	4	1	2	0	0	1	0	0	13	15	-2	2	0	1	0	0	1	0	0	8	10	-2	2	1	1	0	0	0	0	0	5	5	0	3	0.375	13	20	33	0	0	4	6	3	0	138	52	46	39	1	144	43	30	80	13	2	15.38%	15	5	66.67%	0	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	86	54	95	33	59	29
3	Chiefs	2	1	0	0	0	0	1	0	6	4	2	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	0	0	1	0	3	2	1	4	1.000	6	9	15	0	0	4	0	1	2	66	19	26	18	6	50	16	8	47	6	1	16.67%	4	1	75.00%	0	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	49	34	47	15	27	13
4	Cunts	8	2	4	0	1	1	0	0	20	23	-3	4	1	3	0	0	0	0	0	8	12	-4	4	1	1	0	1	1	0	0	12	11	1	7	0.438	20	37	57	0	1	10	7	2	1	252	91	83	75	3	224	71	49	164	31	4	12.90%	20	3	85.00%	0	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	198	136	179	60	108	54
5	Fletushkas	2	1	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	5	2	3	2	0.500	6	11	17	0	0	1	3	2	0	71	23	22	26	0	66	16	30	42	10	1	10.00%	7	0	100.00%	0	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	48	34	45	15	25	13
6	Flyers	2	1	0	0	0	1	0	0	6	6	0	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	4	3	1	3	0.750	6	11	17	0	0	2	2	2	0	64	16	21	27	0	67	17	13	40	6	3	50.00%	4	0	100.00%	0	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	48	34	47	14	24	12
7	Fucksticks	4	2	0	0	0	1	0	1	12	10	2	2	0	0	0	0	1	0	1	7	9	-2	2	2	0	0	0	0	0	0	5	1	4	6	0.750	12	21	33	0	1	2	5	5	0	99	24	38	35	5	121	42	24	77	10	3	30.00%	12	3	75.00%	0	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	90	61	104	31	53	26
8	Giants	2	0	1	0	0	1	0	0	4	8	-4	1	0	1	0	0	0	0	0	1	4	-3	1	0	0	0	0	1	0	0	3	4	-1	1	0.250	4	8	12	0	0	1	2	1	0	57	20	26	10	1	76	20	14	38	6	1	16.67%	6	0	100.00%	0	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	44	30	50	14	25	12
9	Gladiators	3	1	1	0	1	0	0	0	7	7	0	1	0	1	0	0	0	0	0	1	3	-2	2	1	0	0	1	0	0	0	6	4	2	4	0.667	7	12	19	0	0	0	4	2	1	83	27	22	33	1	85	30	16	44	6	2	33.33%	8	1	87.50%	0	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	68	46	73	22	38	18
10	Jets	9	6	0	0	1	1	0	1	33	21	12	4	4	0	0	0	0	0	0	15	5	10	5	2	0	0	1	1	0	1	18	16	2	16	0.889	33	59	92	0	1	10	13	9	2	270	88	87	90	9	268	69	73	188	25	8	32.00%	31	6	80.65%	0	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	201	134	226	69	124	59
11	Mariners	2	0	1	0	0	1	0	0	3	10	-7	1	0	1	0	0	0	0	0	0	6	-6	1	0	0	0	0	1	0	0	3	4	-1	1	0.250	3	5	8	0	0	0	0	3	0	65	25	18	22	0	84	23	42	45	3	0	0.00%	15	3	80.00%	1	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	43	29	53	14	23	10
12	Meltdown	2	0	1	0	0	0	1	0	6	6	0	1	0	1	0	0	0	0	0	3	4	-1	1	0	0	0	0	0	1	0	3	2	1	2	0.500	6	9	15	0	0	2	1	2	1	60	16	17	23	7	72	13	14	50	1	0	0.00%	7	0	100.00%	0	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	49	34	49	14	26	12
13	Mongoloids	3	2	0	0	0	1	0	0	13	6	7	1	1	0	0	0	0	0	0	4	1	3	2	1	0	0	0	1	0	0	9	5	4	5	0.833	13	24	37	0	1	8	1	4	0	118	49	25	44	0	83	30	18	61	8	3	37.50%	9	0	100.00%	0	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	72	51	68	22	39	18
14	Oilers	2	0	0	0	1	0	0	1	4	4	0	1	0	0	0	1	0	0	0	2	1	1	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	4	7	11	0	0	0	0	3	1	54	11	10	28	8	67	25	8	43	2	0	0.00%	4	1	75.00%	0	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	42	25	47	17	35	18
15	Phantoms	10	4	5	0	0	1	0	0	26	24	2	5	2	2	0	0	1	0	0	14	12	2	5	2	3	0	0	0	0	0	12	12	0	9	0.450	26	46	72	0	0	11	6	9	0	352	105	104	142	1	304	114	69	185	28	6	21.43%	30	4	86.67%	1	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	228	152	230	77	143	72
16	Riots	2	1	0	0	0	0	1	0	7	4	3	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	0	0	1	0	3	2	1	4	1.000	7	10	17	0	0	1	3	2	2	72	16	32	21	8	44	15	18	38	7	1	14.29%	9	3	66.67%	1	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	56	41	43	14	24	13
17	Shitbirds	11	5	5	0	0	0	1	0	31	30	1	5	0	5	0	0	0	0	0	11	18	-7	6	5	0	0	0	0	1	0	20	12	8	12	0.545	31	51	82	0	0	11	13	6	2	348	101	132	103	15	347	80	103	197	30	8	26.67%	38	8	78.95%	0	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	244	163	264	84	156	76
18	Steamers	3	2	0	0	0	0	0	1	12	6	6	2	2	0	0	0	0	0	0	9	2	7	1	0	0	0	0	0	0	1	3	4	-1	5	0.833	12	21	33	0	1	7	3	2	0	97	36	31	29	4	99	28	12	56	16	5	31.25%	6	1	83.33%	0	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	75	54	71	23	38	19
19	Trash Pandas	3	3	0	0	0	0	0	0	10	6	4	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	2	1	1	6	1.000	10	15	25	0	0	3	3	4	0	90	23	35	32	0	96	14	8	73	9	1	11.11%	4	1	75.00%	0	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	69	45	66	21	44	23
20	Warheads	3	2	0	0	0	1	0	0	11	7	4	2	1	0	0	0	1	0	0	8	6	2	1	1	0	0	0	0	0	0	3	1	2	5	0.833	11	18	29	0	0	6	2	3	0	99	34	31	34	0	86	30	18	59	8	2	25.00%	8	1	87.50%	1	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	75	51	66	21	40	20
21	Wuhan Clan	2	2	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	4	8	12	0	0	0	1	3	0	64	23	24	17	0	59	16	15	33	9	2	22.22%	5	0	100.00%	0	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	48	32	41	16	29	15
	Total	82	36	22	0	6	10	4	4	245	216	29	41	16	17	0	2	5	0	1	120	120	0	41	20	5	0	4	5	4	3	125	96	29	106	0.646	245	421	666	0	5	85	79	71	14	2643	844	874	879	73	2548	746	600	1627	241	56	23.24%	250	43	82.80%	4	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	1917	1302	1941	624	1130	560
	_Since Last GM Reset	82	36	22	0	6	10	4	4	245	216	29	41	16	17	0	2	5	0	1	120	120	0	41	20	5	0	4	5	4	3	125	96	29	106	0.646	245	421	666	0	5	85	79	71	14	2643	844	874	879	73	2548	746	600	1627	241	56	23.24%	250	43	82.80%	4	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	1917	1302	1941	624	1130	560
	_Vs Conference	58	26	18	0	5	5	1	3	175	152	23	29	11	13	0	1	3	0	1	90	85	5	29	15	5	0	4	2	1	2	85	67	18	72	0.621	175	301	476	0	4	60	64	45	8	1853	592	622	609	43	1794	525	402	1131	175	42	24.00%	172	34	80.23%	1	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	1338	904	1379	445	807	400
	_Vs Division	38	17	14	0	2	3	1	1	110	98	12	18	7	10	0	0	1	0	0	48	47	1	20	10	4	0	2	2	1	1	62	51	11	44	0.579	110	193	303	0	2	42	39	26	5	1222	385	406	410	28	1143	334	294	734	114	26	22.81%	119	21	82.35%	1	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	872	587	900	292	532	262

			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
82	106	L1	245	421	666	2643	2548	746	600	1627	0	5

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	36	22	6	10	4	4	245	216

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	16	17	2	5	0	1	120	120

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	20	5	4	5	4	3	125	96

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
3	3	2	1	1	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
241	56	23.24%	250	43	82.80%	4

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
844	874	879	73	85	79	71	14

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
1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%

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
1917	1302	1941	624	1130	560

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	SO	Lien
1 - 2023-10-15	1	Phantoms	1	Apsos	4	BW			Sommaire du match
3 - 2023-10-15	13	Apsos	1	Phantoms	2	AL			Sommaire du match
4 - 2023-10-15	21	Apsos	2	Jets	3	AL	X		Sommaire du match
5 - 2023-10-15	24	Apsos	2	Shitbirds	1	AW	X	X	Sommaire du match
8 - 2023-10-16	43	Cunts	2	Apsos	1	BL			Sommaire du match
9 - 2023-10-16	47	Apsos	4	Shitbirds	2	AW			Sommaire du match
13 - 2023-10-17	64	Shitbirds	2	Apsos	1	BL			Sommaire du match
14 - 2023-10-17	70	Apsos	2	Cunts	0	AW			Sommaire du match
16 - 2023-10-17	76	Apsos	4	Shitbirds	3	AW			Sommaire du match
17 - 2023-10-17	88	Jets	0	Apsos	3	BW			Sommaire du match
19 - 2023-10-18	100	Apsos	4	Jets	2	AW			Sommaire du match
20 - 2023-10-18	103	Apsos	2	Phantoms	3	AL			Sommaire du match
21 - 2023-10-18	110	Shitbirds	4	Apsos	2	BL			Sommaire du match
26 - 2023-10-19	132	Phantoms	3	Apsos	2	BL	X		Sommaire du match
29 - 2023-10-19	150	Cunts	1	Apsos	3	BW			Sommaire du match
32 - 2023-10-20	165	Apsos	3	Shitbirds	2	AW			Sommaire du match
33 - 2023-10-20	173	Jets	1	Apsos	3	BW			Sommaire du match
35 - 2023-10-20	184	Apsos	2	Gladiators	1	AW			Sommaire du match
37 - 2023-10-21	196	Jets	1	Apsos	4	BW			Sommaire du match
40 - 2023-10-21	209	Apsos	4	Shitbirds	2	AW			Sommaire du match
41 - 2023-10-21	217	Trash Pandas	2	Apsos	4	BW			Sommaire du match
44 - 2023-10-22	231	Bunnies	5	Apsos	4	BL	X		Sommaire du match
46 - 2023-10-22	239	Apsos	3	Bunnies	1	AW			Sommaire du match
48 - 2023-10-22	253	Apsos	2	Trash Pandas	1	AW			Sommaire du match
50 - 2023-10-23	260	Phantoms	3	Apsos	1	BL			Sommaire du match
52 - 2023-10-23	274	Apsos	2	Wuhan Clan	1	AW			Sommaire du match
54 - 2023-10-23	283	Oilers	1	Apsos	2	BW	X		Sommaire du match
56 - 2023-10-24	294	Apsos	1	Fucksticks	0	AW			Sommaire du match
57 - 2023-10-24	300	Apsos	4	Phantoms	3	AW			Sommaire du match
58 - 2023-10-24	306	Aces	5	Apsos	4	BL			Sommaire du match
61 - 2023-10-25	321	Apsos	1	Phantoms	2	AL			Sommaire du match
62 - 2023-10-25	328	Fucksticks	2	Apsos	1	BL	X	X	Sommaire du match
67 - 2023-10-26	350	Warheads	2	Apsos	5	BW			Sommaire du match
70 - 2023-10-26	367	Apsos	4	Mongoloids	5	AL	X		Sommaire du match
71 - 2023-10-26	372	Chiefs	2	Apsos	3	BW			Sommaire du match
73 - 2023-10-27	384	Apsos	3	Cunts	2	AW	X		Sommaire du match
75 - 2023-10-27	394	Meltdown	4	Apsos	3	BL			Sommaire du match
77 - 2023-10-27	404	Apsos	3	Mariners	4	AL	X		Sommaire du match
79 - 2023-10-28	415	Steamers	0	Apsos	5	BW			Sommaire du match
83 - 2023-10-28	432	Apsos	3	Jets	4	AL	X	X	Sommaire du match
85 - 2023-10-29	438	Cunts	5	Apsos	3	BL			Sommaire du match
87 - 2023-10-29	451	Apsos	4	Flyers	3	AW			Sommaire du match
88 - 2023-10-29	459	Shitbirds	5	Apsos	4	BL			Sommaire du match
92 - 2023-10-30	475	Warheads	4	Apsos	3	BL	X		Sommaire du match
95 - 2023-10-30	491	Steamers	2	Apsos	4	BW			Sommaire du match
97 - 2023-10-31	499	Apsos	5	Mongoloids	0	AW			Sommaire du match
100 - 2023-10-31	513	Jets	3	Apsos	5	BW			Sommaire du match
102 - 2023-10-31	523	Apsos	4	Phantoms	2	AW			Sommaire du match
104 - 2023-11-01	534	Apsos	3	Meltdown	2	AW	X	X	Sommaire du match
106 - 2023-11-01	542	Cunts	4	Apsos	1	BL			Sommaire du match
109 - 2023-11-02	558	Trash Pandas	3	Apsos	4	BW			Sommaire du match
111 - 2023-11-02	568	Apsos	5	Jets	4	AW	X		Sommaire du match
114 - 2023-11-02	579	Flyers	3	Apsos	2	BL	X		Sommaire du match
116 - 2023-11-03	596	Shitbirds	3	Apsos	2	BL			Sommaire du match
117 - 2023-11-03	602	Apsos	2	Bunnies	4	AL			Sommaire du match
119 - 2023-11-03	608	Apsos	2	Oilers	3	AL	X	X	Sommaire du match
121 - 2023-11-04	623	Fletushkas	5	Apsos	1	BL			Sommaire du match
123 - 2023-11-04	629	Apsos	3	Shitbirds	2	AW			Sommaire du match
125 - 2023-11-04	637	Apsos	3	Chiefs	2	AW	X	X	Sommaire du match
128 - 2023-11-05	650	Mongoloids	1	Apsos	4	BW			Sommaire du match
131 - 2023-11-05	666	Gladiators	3	Apsos	1	BL			Sommaire du match
133 - 2023-11-06	678	Apsos	4	Jets	3	AW			Sommaire du match
136 - 2023-11-06	688	Apsos	3	Cunts	4	AL			Sommaire du match
137 - 2023-11-06	695	Phantoms	1	Apsos	4	BW			Sommaire du match
140 - 2023-11-07	709	Apsos	4	Fucksticks	1	AW			Sommaire du match
142 - 2023-11-07	717	Apsos	3	Steamers	4	AL	X	X	Sommaire du match
143 - 2023-11-07	723	Aces	4	Apsos	5	BW	X		Sommaire du match
146 - 2023-11-08	739	Giants	4	Apsos	1	BL			Sommaire du match
147 - 2023-11-08	748	Apsos	3	Giants	4	AL	X		Sommaire du match
149 - 2023-11-08	758	Apsos	4	Cunts	5	AL	X		Sommaire du match
151 - 2023-11-09	766	Mariners	6	Apsos	0	BL			Sommaire du match
153 - 2023-11-09	779	Apsos	3	Warheads	1	AW			Sommaire du match
155 - 2023-11-09	787	Riots	2	Apsos	4	BW			Sommaire du match
158 - 2023-11-10	799	Apsos	2	Aces	1	AW	X		Sommaire du match
160 - 2023-11-10	808	Fucksticks	7	Apsos	6	BL	X		Sommaire du match
164 - 2023-11-11	825	Bunnies	5	Apsos	4	BL			Sommaire du match
165 - 2023-11-11	831	Apsos	5	Fletushkas	2	AW			Sommaire du match
169 - 2023-11-12	849	Apsos	3	Riots	2	AW	X	X	Sommaire du match
170 - 2023-11-12	854	Apsos	4	Gladiators	3	AW	X		Sommaire du match
171 - 2023-11-12	858	Shitbirds	4	Apsos	2	BL			Sommaire du match
175 - 2023-11-13	876	Wuhan Clan	1	Apsos	2	BW			Sommaire du match
180 - 2023-11-13	894	Phantoms	4	Apsos	3	BL			Sommaire du match

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	186,386	154,447	63,847	124,448	39,950
Attendance PCT	75.77%	75.34%	77.86%	75.88%	97.44%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
0	13880 - 77.11%	1,408,238$	57,737,771$	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
91,616,754$	91,616,842$	91,616,842$	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
91,616,842$	91,616,754$	0$	23	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	500,638$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	166,974,293$	166,974,293$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
93,120,008$	28,879,992$	122,000,000$	3,620,008$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Pavel Buchnevich	AGE:29	PO:85	OV:87
Chris Kreider	AGE:33	PO:84	OV:84
Moxie Manslammer	AGE:29	PO:1	OV:83
Jakub Vrana	AGE:28	PO:77	OV:78
Mike Hoffman	AGE:34	PO:73	OV:76
Kasperi Kapanen	AGE:27	PO:75	OV:75
Brett Howden	AGE:26	PO:66	OV:74
Tyson Jost	AGE:26	PO:68	OV:70
Ryan Donato	AGE:28	PO:71	OV:69
Jakub Lauko (R)	AGE:24	PO:69	OV:68
Samuel Poulin (R)	AGE:23	PO:60	OV:68
Tyler Angle (R)	AGE:23	PO:60	OV:66
Alex Beaucage (R)	AGE:22	PO:57	OV:66

Moxie Manslammer	AGE:29	PO:1	OV:83
Joel Eriksson Ek	AGE:27	PO:83	OV:80
Nick Bjugstad	AGE:31	PO:75	OV:79
Phillip Danault	AGE:31	PO:77	OV:78
Evgeny Kuznetsov	AGE:31	PO:74	OV:78
Cody Glass	AGE:25	PO:73	OV:75
Brett Howden	AGE:26	PO:66	OV:74
Shane Pinto (R)	AGE:23	PO:73	OV:73
Tyson Jost	AGE:26	PO:68	OV:70
Benoit-Olivier Groulx	AGE:24	PO:64	OV:70
Ryan Donato	AGE:28	PO:71	OV:69
Jakub Lauko (R)	AGE:24	PO:69	OV:68
Samuel Poulin (R)	AGE:23	PO:60	OV:68
Tyler Angle (R)	AGE:23	PO:60	OV:66

Pavel Buchnevich	AGE:29	PO:85	OV:87
Chris Kreider	AGE:33	PO:84	OV:84
Nick Bjugstad	AGE:31	PO:75	OV:79
Mike Hoffman	AGE:34	PO:73	OV:76
Kasperi Kapanen	AGE:27	PO:75	OV:75
Cody Glass	AGE:25	PO:73	OV:75
Brett Howden	AGE:26	PO:66	OV:74
Jesse Ylonen (R)	AGE:24	PO:71	OV:70
Ryan Donato	AGE:28	PO:71	OV:69
Alex Beaucage (R)	AGE:22	PO:57	OV:66

Défense #1

Défense #2

Gardien

Jamie Oleksiak	AGE:31	PO:68	OV:87
Adam Larsson	AGE:31	PO:68	OV:83
Dmitry Kulikov	AGE:33	PO:66	OV:80
Marcus Pettersson	AGE:27	PO:66	OV:79
Jack Johnson	AGE:37	PO:63	OV:79
Gustav Forsling	AGE:27	PO:73	OV:78
Matt Roy	AGE:29	PO:66	OV:77

TJ Brodie (R)	AGE:33	PO:64	OV:77
Justin Barron (R)	AGE:22	PO:63	OV:71
Alec Regula	AGE:23	PO:55	OV:68
Reilly Walsh (R)	AGE:25	PO:57	OV:66
Donovan Sebrango (R)	AGE:22	PO:52	OV:65
Ryan O'Rourke (R)	AGE:21	PO:51	OV:64

Alexandar Georgiev	AGE:28	PO:86	OV:85
Connor Ingram (R)	AGE:27	PO:73	OV:74
Kaapo Kahkonen	AGE:27	PO:64	OV:66

Espoirs

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Information	Lien
Aartu Karki	Apsos
Devin Kaplan	Apsos
Dmitriy Simashev	Apsos
Dylan MacKinnon	Apsos
Fedor Svechkov	Apsos
Gavin McCarthy	Apsos
Maxim Beryozkin	Apsos
Maxim Strbak	Apsos
Michael Hrabal	Apsos
Owen Beck	Apsos
Will Smith	Apsos

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6
2024		LHA	LHA	LHA	LHA	LHA
2025	LHA	LHA	LHA	LHA	LHA	LHA
2026	LHA	LHA	LHA	LHA	LHA	LHA
2027	LHA	LHA	LHA	LHA	LHA	LHA
2028	LHA	LHA	LHA	LHA	LHA	LHA

Apsos Historique de transactions

[2023-10-22 11:08:02 AM] - TRADE : From Apsos to Mariners : James van Riemsdyk (75).
[2023-10-21 11:19:01 AM] - Rasmus Asplund was released.
[2023-10-21 11:19:01 AM] - Apsos paid $0 to release Rasmus Asplund.
[2023-10-21 11:17:34 AM] - TRADE : From Apsos to Giants : Chandler Stephenson (80), Barrett Hayton (75), Taylor Raddysh (75), Logan Stankoven (P), Y:2024-RND:1-LHA.
[2023-10-21 11:17:34 AM] - TRADE : From Giants to Apsos : Jakub Vrana (78), Nick Bjugstad (79), Ryan Donato (69).
[2023-10-19 10:44:28 AM] - TRADE : From Giants to Apsos : Alexandar Georgiev (85).
[2023-10-18 2:48:03 PM] - Anthony Mantha was released.
[2023-10-18 2:48:03 PM] - Apsos paid $0 to release Anthony Mantha.
[2023-10-18 2:46:46 PM] - TRADE : From Apsos to Riots : Tyson Barrie (72).
[2023-10-18 2:46:30 PM] - TRADE : From Apsos to Trash Pandas : Jake Allen (69).
[2023-10-18 2:41:36 PM] - TJ Brodie was added to Apsos.
[2023-10-18 2:41:12 PM] - Moxie Manslammer has been deleted from Apsos.
[2023-10-18 2:41:07 PM] - Albin Eriksson has been deleted from Apsos.
[2023-10-18 2:41:04 PM] - Andrei Altybarmakyan has been deleted from Apsos.
[2023-09-26 2:40:31 PM] - TRADE : From Fucksticks to Apsos : Y:2023-RND:4-RIV.
[2023-09-26 2:40:31 PM] - TRADE : From Apsos to Fucksticks : Lukas Dostal (69).
[2023-09-24 8:32:42 AM] - TRADE : From Apsos to Fucksticks : Y:2023-RND:1-LHA.
[2023-09-24 8:32:42 AM] - TRADE : From Fucksticks to Apsos : Y:2023-RND:1-FLE, Y:2023-RND:1-ULA.
[2023-09-24 8:08:56 AM] - Aartu Karki has been added to Apsos.
[2023-09-24 8:08:45 AM] - Gavin McCarthy has been added to Apsos.
[2023-09-24 8:08:40 AM] - Maxim Strbak has been added to Apsos.
[2023-09-24 8:08:28 AM] - Michael Hrabal has been added to Apsos.
[2023-09-24 8:08:22 AM] - Dmitriy Simashev has been added to Apsos.
[2023-09-24 8:08:06 AM] - Will Smith has been added to Apsos.
[2023-09-24 8:08:01 AM] - Dylan MacKinnon has been added to Apsos.
[2023-09-23 11:38:33 AM] - Harley Manhammer was added to Apsos.
[2023-07-04 8:30:12 AM] - Owen Beck was added to Apsos.
[2023-07-04 8:30:12 AM] - Samuel Poulin was added to Apsos.
[2023-07-04 8:30:12 AM] - Shane Pinto was added to Apsos.
[2023-07-04 8:30:12 AM] - Ryan O'Rourke was added to Apsos.

[2024-05-05 12:00:23 PM] Last 7 Days Pro Star : 1 - Connor McDavid of Fucksticks (6-3-9) / 2 - Adrian Kempe of Mariners (4-3-7) / 3 - Pavel Buchnevich of Apsos (4-5-9)
[2024-05-05 11:44:52 AM] Pro Game #854 - Pavel Buchnevich from Apsos has scored a Hat Trick!
[2024-05-05 11:41:25 AM] Gustav Forsling from Apsos is back from Upper Body Injury.
[2024-05-05 11:32:54 AM] Successfully loaded Apsos lines done with Web Base Client and SQLite Database.
[2024-05-05 11:17:04 AM] Successfully loaded Apsos lines done with Web Base Client and SQLite Database.
[2024-04-28 12:22:24 PM] Apsos lines for next game are empty. Current rosters/lines are not erased.
[2024-04-28 12:22:24 PM] Game 831 - Gustav Forsling from Apsos is injured (Upper Body) and is out for 1 week.
[2024-04-28 12:18:24 PM] Apsos lines for next game are empty. Current rosters/lines are not erased.
[2024-04-14 1:04:11 PM] Apsos lines for next game are empty. Current rosters/lines are not erased.
[2024-04-14 12:53:31 PM] Apsos lines for next game are empty. Current rosters/lines are not erased.
[2024-04-14 12:39:30 PM] Apsos lines for next game are empty. Current rosters/lines are not erased.
[2024-04-14 12:31:53 PM] Apsos lines for next game are empty. Current rosters/lines are not erased.
[2024-04-14 12:14:25 PM] Jamie Oleksiak from Apsos is back from Sprained Right Ankle Injury.
[2024-04-14 12:14:25 PM] Apsos lines for next game are empty. Current rosters/lines are not erased.
[2024-04-14 12:14:24 PM] Game 678 - Jamie Oleksiak from Apsos is injured (Sprained Right Ankle) and is out for 4 days.
[2024-04-14 11:59:56 AM] Apsos lines for next game are empty. Current rosters/lines are not erased.
[2024-04-07 12:17:24 PM] Apsos lines for next game are empty. Current rosters/lines are not erased.
[2024-04-07 12:17:24 PM] Pro Game #650 - Chris Kreider from Apsos has scored a Hat Trick!
[2024-04-07 12:02:58 PM] Apsos lines for next game are empty. Current rosters/lines are not erased.
[2024-04-07 11:53:44 AM] Apsos lines for next game are empty. Current rosters/lines are not erased.
[2024-03-24 12:13:11 PM] Apsos lines for next game are empty. Current rosters/lines are not erased.
[2024-03-24 12:04:09 PM] Apsos lines for next game are empty. Current rosters/lines are not erased.
[2024-03-24 11:54:18 AM] Apsos lines for next game are empty. Current rosters/lines are not erased.

Pas de blessure ou de suspension.

Apsos Leaders statistiques (saison régulière)

Afficher ou masquer des colonnes

#	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
1	Chris Kreider	226	87	91	178	25	94	300	364	950	9.16%	35	4128	18.27	14	18	32	131	1	1	2	18	17	3	36.34	1	0.86	2	6
2	Pavel Buchnevich	226	78	100	178	4	34	143	306	844	9.24%	40	4499	19.91	13	28	41	128	0	0	0	2	11	4	40.71	1	0.79	2	8
3	Phillip Danault	222	37	88	125	33	76	188	484	453	8.17%	43	3733	16.82	2	1	3	12	1	1	2	2	4	3	56.68	0	0.67	0	0
4	Joel Eriksson Ek	225	46	75	121	11	50	258	385	541	8.50%	56	3399	15.11	11	11	22	54	1	1	2	8	8	2	54.25	0	0.71	0	2
5	Harley Manhammer	144	49	61	110	10	128	455	270	528	9.28%	34	2841	19.73	10	14	24	98	0	1	1	11	10	5	57.36	1	0.77	2	5

Apsos Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Jake Allen	130	65	50	10	0.907	2.81	7429	8	8	348	3724	240	4	3	0.333	9
2	Alexandar Georgiev	72	39	19	13	0.916	2.59	4339	6	5	187	2236	194	2	0	0.750	20
3	Connor Ingram	20	11	6	1	0.917	2.51	1100	6	1	46	552	7	1	0	0.727	11
4	Lukas Dostal	21	4	3	5	0.874	3.43	787	2	1	45	356	0	2	0	0.00%	0

Apsos Statistiques de l'Équipe de Carrière

Afficher ou masquer des colonnes

	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
Saison régulière
2020	62	30	21	0	5	2	2	2	195	159	36	31	13	13	0	3	1	1	0	94	85	9	31	17	8	0	2	1	1	2	101	74	27	78	195	334	529	2	6	75	55	58	10	2051	713	660	662	28	1987	610	434	1257	192	30	15.63%	163	36	77.91%	2	1075	2027	53.03%	997	1957	50.95%	495	923	53.63%	1474	1005	1439	465	837	417
2021	82	34	35	0	2	10	0	1	252	261	-9	41	11	23	0	1	5	0	1	116	139	-23	41	23	12	0	1	5	0	0	136	122	14	83	252	441	693	1	4	101	80	69	2	2852	923	921	988	22	2336	766	505	1636	214	35	16.36%	226	42	81.42%	1	1639	2991	54.80%	1349	2491	54.15%	712	1314	54.19%	1952	1365	1955	586	1043	515
2023	82	36	22	0	6	10	4	4	245	216	29	41	16	17	0	2	5	0	1	120	120	0	41	20	5	0	4	5	4	3	125	96	29	106	245	421	666	0	5	85	79	71	14	2643	844	874	879	73	2548	746	600	1627	241	56	23.24%	250	43	82.80%	4	1477	2698	54.74%	1491	2716	54.90%	643	1215	52.92%	1917	1302	1941	624	1130	560
Total Saison régulière	226	100	78	0	13	22	6	7	692	636	56	113	40	53	0	6	11	1	2	330	344	-14	113	60	25	0	7	11	5	5	362	292	70	267	692	1196	1888	3	15	261	214	198	26	7546	2480	2455	2529	123	6871	2122	1539	4520	647	121	18.70%	639	121	81.06%	7	4191	7716	54.32%	3837	7164	53.56%	1850	3452	53.59%	5344	3674	5335	1677	3012	1494
Séries éliminatoires
2020	9	4	5	0	0	0	0	0	28	26	2	5	2	3	0	0	0	0	0	13	12	1	4	2	2	0	0	0	0	0	15	14	1	8	28	50	78	0	1	8	7	12	1	301	94	97	103	7	286	79	66	182	24	7	29.17%	27	6	77.78%	1	181	324	55.86%	159	300	53.00%	91	141	64.54%	224	157	219	64	116	58
2020	9	4	5	0	0	0	0	0	28	26	2	5	2	3	0	0	0	0	0	13	12	1	4	2	2	0	0	0	0	0	15	14	1	8	28	50	78	0	1	8	7	12	1	301	94	97	103	7	286	79	66	182	24	7	29.17%	27	6	77.78%	1	181	324	55.86%	159	300	53.00%	91	141	64.54%	224	157	219	64	116	58
2021	7	3	4	0	0	0	0	0	20	23	-3	3	2	1	0	0	0	0	0	11	7	4	4	1	3	0	0	0	0	0	9	16	-7	6	20	33	53	0	1	6	7	7	0	229	67	85	77	0	244	63	49	133	22	3	13.64%	19	4	78.95%	0	120	254	47.24%	120	248	48.39%	50	103	48.54%	157	108	177	50	85	41
2021	7	3	4	0	0	0	0	0	20	23	-3	3	2	1	0	0	0	0	0	11	7	4	4	1	3	0	0	0	0	0	9	16	-7	6	20	33	53	0	1	6	7	7	0	229	67	85	77	0	244	63	49	133	22	3	13.64%	19	4	78.95%	0	120	254	47.24%	120	248	48.39%	50	103	48.54%	157	108	177	50	85	41
Total Séries éliminatoires	32	14	18	0	0	0	0	0	96	98	-2	16	8	8	0	0	0	0	0	48	38	10	16	6	10	0	0	0	0	0	48	60	-12	28	96	166	262	0	4	28	28	38	2	1060	322	364	360	14	1060	284	230	630	92	20	21.74%	92	20	78.26%	2	602	1156	52.08%	558	1096	50.91%	282	488	57.79%	763	532	792	229	403	198

Apsos Leaders statistiques (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKP	PKS	GW	GT	FO%	P/20
1	Chris Kreider	64	36	32	68	36	44	96	96	256	14.06%	4	1134	17.72	0	4	4	36	4	4	4	8	4	45.83	1.20
2	Harley Manhammer	64	24	32	56	8	32	212	112	176	13.64%	24	1241	19.40	8	8	16	28	0	0	4	4	0	48.84	0.90
3	Phillip Danault	64	8	40	48	24	48	80	160	128	6.25%	12	1141	17.84	0	8	8	8	0	0	0	0	0	50.53	0.84
4	Evgeny Kuznetsov	64	8	36	44	-8	0	16	112	120	6.67%	4	972	15.19	0	20	20	20	0	0	0	0	0	51.01	0.91
5	Pavel Buchnevich	64	20	24	44	24	16	24	108	188	10.64%	8	1082	16.92	0	4	4	20	0	0	0	12	4	40.91	0.81

Apsos Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Jake Allen	64	28	32	4	0.908	3.01	3904	0	8	196	2120	0	4	0	0.00%	0

	Apsos
	GP: 82 \| W: 46 \| L: 22 \| OTL: 14 \| P: 106 GF: 245 \| GA: 216 \| PP%: 23.24% \| PK%: 82.80% DG: Simon Orrell \| Morale : 90 \| Moyenne d’équipe : 79