Canadian Hockey League

Roadrunners
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Centre de jeu
	Mammoth 8-14-3, 19pts	4	FINAL	2	Flames 7-15-3, 17pts

Team Stats
OTL1	Streak	L5
5-7-2	Home Record	5-7-2
3-7-1	Away Record	2-8-1
3-6-1	Last 10 Games	1-8-1
2.68	Goals Per Game	3.16
4.16	Goals Against Per Game	4.24
29.17%	Power Play Percentage	17.39%
79.86%	Penalty Kill Percentage	74.17%

MapleLeafs
16-7-2, 34pts

FINAL

Mammoth
8-14-3, 19pts

Team Stats
OTW1	Streak	OTL1
9-3-0	Home Record	5-7-2
7-4-2	Away Record	3-7-1
5-5-0	Last 10 Games	3-6-1
4.20	Goals Per Game	2.68
3.80	Goals Against Per Game	4.16
25.81%	Power Play Percentage	29.17%
79.29%	Penalty Kill Percentage	79.86%

Blues
13-10-3, 29pts

Jour 52

Mammoth
8-14-3, 19pts

Stats Équipe
W1	Séquence	OTL1
8-2-2	Fiche domicile	5-7-2
5-8-1	Fiche visiteur	3-7-1
5-3-2	10 derniers matchs	3-6-1
3.27	Buts par match	2.68
3.31	Buts contre par match	4.16
18.85%	Pourcentage en avantage numérique	29.17%
81.31%	Pourcentage en désavantage numérique	79.86%

Mammoth
8-14-3, 19pts

Jour 54

GoldenKnights
10-10-3, 23pts

Stats Équipe
OTL1	Séquence	L1
5-7-2	Fiche domicile	5-6-2
3-7-1	Fiche visiteur	5-4-1
3-6-1	10 derniers matchs	4-5-1
2.68	Buts par match	2.96
4.16	Buts contre par match	3.04
29.17%	Pourcentage en avantage numérique	11.40%
79.86%	Pourcentage en désavantage numérique	81.20%

Stars
12-12-1, 25pts

Jour 57

Mammoth
8-14-3, 19pts

Stats Équipe
L1	Séquence	OTL1
8-4-1	Fiche domicile	5-7-2
4-8-0	Fiche visiteur	3-7-1
6-4-0	10 derniers matchs	3-6-1
3.16	Buts par match	2.68
3.40	Buts contre par match	4.16
16.19%	Pourcentage en avantage numérique	29.17%
80.00%	Pourcentage en désavantage numérique	79.86%

Meneurs d'équipe
	Buts Lawson Crouse 9	Passes Ben Chiarot 12

	Points Jayson Megna 18	Plus/Moins Jayson Megna 2

	Victoires Frederik Andersen 6	Pourcentage d’arrêts Jonas Johansson 0.904

Stats Équipe
Buts pour 67 2.68 GFG	Tirs pour 613 24.52 Avg	Pourcentage en avantage numérique 29.2% 28 GF	Début de zone offensive 34.3%
Buts contre 104 4.16 GAA	Tirs contre 967 38.68 Avg	Pourcentage en désavantage numérique 79.9% 29 GA	Début de la zone défensive 47.3%

Blessure/Suspension
	Jack St. Ivany est dehors pour 2 semaines à cause de Back Injury.

Information d’équipe
	Directeur général	Michael Langlois
	Entraîneur	Jeff Blashill
	Division	Pacific
	Conférence	Western
	Capitaine
	Assistant #1
	Assistant #2
Uniformes

Informations de l’aréna
	Nom	Delta Center
	Capacité	25,000
	Assistance	21,806
	Billets de saison	10,000
Information formation
	Équipe Pro	24
	Équipe Mineure	25
	Limite contact	49 / 50
	Espoirs	56
Plafond salarial
	Cap Salarial de la Saison estimé	74,482,645$
	Plafond salarial disponible	15,517,355$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	25,454,375$
	Dépenses annuelles à ce jour	22,168,690$
	Revenus de la saison estimés	49,090,580$
	Dépenses de la saison estimées	54,313,963$
	Compte bancaire actuel	218,609,822$
	Compte bancaire projeté	211,610,883$
Historique d'équipe
	Saison actuelle	8-14-3 (19PTS)
	Historique	731-812-122 (0.439%)
	Apparitions séries éliminatoires	8
	Historique séries éliminatoires (W-L)	33-40
	Stanley Cup	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	Lawson Crouse		X			98.00	96	63	80	75	76	77	98	54	40	46	62	70	40	78	78	55	18	65	0	28	5	7,000,000$
2	Aatu Raty	X				100.00	97	48	82	79	60	72	66	59	92	50	67	64	40	68	70	80	18	64	0	23	1	925,000$
3	Jayson Megna	X				100.00	60	48	84	80	56	74	64	57	70	60	54	70	65	92	83	20	18	64	0	35	1	600,000$
4	Zach Benson		X			100.00	51	39	74	84	42	79	94	60	40	60	61	73	40	62	71	95	15	64	0	20	2	1$
5	Christian Fischer			X		100.00	87	58	85	75	71	73	75	51	40	51	52	64	40	78	76	55	18	61	0	28	1	1,700,000$
6	Daniel Sprong			X		100.00	65	47	89	78	59	75	64	55	40	54	55	62	73	78	77	55	18	61	0	28	1	3,000,000$
7	Dalibor Dvorsky (R)		X			100.00	71	52	83	86	66	70	60	55	40	52	58	50	40	62	66	95	18	59	0	20	3	925,000$
8	Adam Ruzicka	X				100.00	46	56	84	75	77	60	50	54	82	52	56	59	40	74	67	65	18	58	0	26	1	1,250,000$
9	Max Jones		X			100.00	99	55	76	75	75	70	61	48	40	43	53	51	40	76	73	60	18	58	0	27	1	2,300,000$
10	Martin Kaut			X		100.00	55	48	88	77	60	60	50	54	40	44	55	57	40	74	67	65	16	56	0	26	1	1,150,000$
11	Rourke Chartier	X				100.00	60	49	82	75	62	60	50	48	87	42	54	57	40	80	70	50	18	56	0	29	1	6,000,000$
12	Brendan Lemieux		X			100.00	92	78	40	75	68	60	50	32	40	20	44	56	40	80	70	50	18	51	0	29	1	7,000,000$
13	Ben Chiarot				X	100.00	77	60	73	75	79	85	98	53	40	49	56	74	40	90	88	25	19	71	0	34	1	3,000,000$
14	Brandon Carlo				X	100.00	65	61	81	75	81	81	99	51	40	51	51	81	40	80	81	50	18	70	0	29	3	9,000,000$
15	Nick Perbix				X	100.00	56	54	85	76	72	74	94	57	40	54	60	69	40	76	75	60	18	67	0	27	1	2,600,000$
16	Ethan Bear				X	100.00	56	47	80	81	58	66	61	59	40	68	50	70	40	78	72	55	18	64	0	28	2	2,000,000$
17	Jake Livingstone				X	100.00	62	50	77	75	76	63	58	39	40	33	45	70	40	74	69	65	18	61	0	26	2	6,000,000$
18	Topi Niemela				X	100.00	53	55	84	75	52	65	60	40	40	47	34	50	40	68	67	80	18	55	0	23	2	925,000$
Rayé
1	Anthony Beauvillier		X			96.00	80	42	87	82	49	76	98	58	40	50	65	72	75	78	77	55	19	66	0	28	1	4,000,000$
2	Jack St. Ivany				X	81.65	87	64	72	75	72	77	56	47	40	44	50	79	40	74	76	65	9	67	0	26	3	875,000$
Équipe Mineure
1	Emil Heineman		X			100.00	99	50	84	78	64	74	85	57	40	51	63	65	99	70	72	75	40	64	0	24	1	925,000$
2	Ville Koivunen		X			100.00	50	45	73	83	47	72	62	61	40	66	57	62	73	66	69	85	40	61	0	22	1	925,000$
3	Cole Schwindt			X		100.00	63	51	90	75	67	70	72	53	86	54	52	63	40	70	70	75	24	60	0	24	1	1,350,000$
4	Samuel Helenius	X				100.00	99	67	80	75	74	69	77	51	81	45	57	58	40	68	69	80	30	60	0	23	2	900,000$
5	Hendrix Lapierre	X				100.00	50	43	87	80	51	71	62	57	75	64	50	62	40	68	70	80	38	60	0	23	1	925,000$
6	Jacob Quillan (R)	X				100.00	70	53	79	85	65	76	66	48	70	43	52	70	40	68	72	80	26	60	0	23	2	750,000$
7	Noah Ostlund (R)		X			100.00	50	41	84	93	45	60	50	58	40	51	65	70	40	64	62	90	26	60	0	21	3	925,000$
8	Brennan Othmann		X			100.00	86	46	88	76	57	71	58	49	40	47	50	69	40	66	69	85	26	58	0	22	2	925,000$
9	William Stromgren			X		100.00	54	42	85	76	62	79	69	54	40	61	46	50	40	66	73	85	23	58	0	22	2	750,000$
10	Ryan Winterton	X				100.00	79	44	87	75	53	73	51	48	40	47	50	49	40	66	70	85	26	55	0	22	2	925,000$
11	Lauri Pajuniemi			X		100.00	49	44	81	76	53	60	50	48	40	43	53	60	40	74	67	65	26	54	0	26	1	950,000$
12	Nikita Chibrikov		X			100.00	47	48	83	77	56	60	50	50	40	50	49	50	99	66	63	85	26	54	0	22	2	925,000$
13	Filip Mesar (R)			X		100.00	54	44	81	91	49	60	50	43	40	47	38	60	40	64	62	90	26	54	0	21	3	925,000$
14	Ondrej Becher (R)	X				100.00	63	46	87	86	58	68	58	39	70	34	44	50	80	64	66	90	26	53	0	21	3	925,000$
15	Lian Bichsel				X	100.00	99	69	68	75	91	74	69	57	40	51	63	67	40	64	69	90	23	67	0	21	2	925,000$
16	Scott Morrow (R)				X	100.00	45	53	90	80	70	76	53	64	40	69	59	75	40	68	72	80	26	66	0	23	2	750,000$
17	Luca Cagnoni (R)				X	100.00	50	42	81	93	45	68	63	63	40	66	61	53	40	64	66	90	26	62	0	21	3	925,000$
18	Simon Nemec				X	100.00	42	47	80	77	58	74	62	53	40	46	59	60	40	64	69	90	26	59	0	21	1	925,000$
19	Victor Soderstrom				X	100.00	53	43	79	77	52	55	50	49	40	50	48	52	40	70	63	75	26	55	0	24	1	1,650,000$
20	Tyler Tullio			X		100.00	58	50	73	75	54	60	50	39	40	43	36	55	40	68	64	80	20	51	0	23	1	925,000$
21	Lukas Svejkovsky			X		100.00	55	48	82	75	40	60	50	34	40	29	39	64	80	70	65	75	20	50	0	24	1	925,000$
22	Jakub Stancl (R)		X			100.00	71	50	86	81	66	60	50	29	40	28	30	51	40	62	61	95	20	48	0	20	3	925,000$

	MOYENNE D’ÉQUIPE					99.40	67	51	81	79	62	69	65	51	48	49	52	62	48	71	70	72	22	60

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	Frederik Andersen	97.00	88	57	60	99	78	79	79	76	75	81	87	94	87	15	18	78	0	36	1	5,000,000$
2	Jonas Johansson	100.00	78	53	60	99	71	71	72	72	71	69	47	82	77	45	18	72	0	30	1	4,000,000$
Rayé
1	Michael DiPietro	100.00	82	69	74	86	67	72	68	72	69	72	95	74	73	65	20	71	0	26	2	5,000,000$
2	Adam Scheel	100.00	76	50	60	89	56	58	54	55	54	53	53	74	66	65	20	61	0	26	1	750,000$
Équipe Mineure
1	Sergei Murashov (R)	100.00	75	50	60	83	63	59	63	60	61	60	99	64	62	90	27	62	0	21	3	925,000$
2	Henrik Tikkanen	100.00	78	57	60	99	50	50	50	50	50	50	87	72	61	70	32	59	0	25	1	950,000$
3	Ruslan Khazheyev (R)	100.00	75	50	60	93	50	50	50	50	50	50	40	64	57	90	20	57	0	21	3	925,000$

	MOYENNE D’ÉQUIPE	99.57	79	55	62	93	62	63	62	62	61	62	73	75	69	63	22	66

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jeff Blashill	59	52	52	79	87	70	66	USA	52	1	2,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	EG	P/20	PSG	PSS	FT	S1	S2	S3
1	Jayson Megna	Mammoth	C	25	7	11	18	2	0	0	5	67	50	21	45	14.00%	6	453	18.14	4	6	10	12	70	3	33	0	1	46.09%	575	0	0.79	0	0	0	0	0	0
2	Brandon Carlo	Mammoth	D	25	8	8	16	-15	8	0	24	46	52	14	23	15.38%	46	589	23.57	5	4	9	34	75	0	129	0	1	0.00%	0	0	0.54	0	0	0	0	2	0
3	Lawson Crouse	Mammoth	LW	25	9	7	16	-3	28	0	82	31	52	13	26	17.31%	5	547	21.89	2	4	6	16	71	2	111	2	0	31.90%	116	1	0.58	0	1	0	0	1	0
4	Ben Chiarot	Mammoth	D	25	4	12	16	-13	31	5	58	33	46	8	26	8.70%	58	624	24.98	3	5	8	25	82	0	116	0	0	0.00%	0	0	0.51	0	0	1	1	1	1
5	Anthony Beauvillier	Mammoth	LW	22	4	10	14	-9	12	0	34	47	50	17	52	8.00%	9	525	23.89	1	5	6	13	70	2	116	0	0	28.31%	166	0	0.53	1	1	0	1	0	0
6	Daniel Sprong	Mammoth	RW	25	5	9	14	-2	6	0	2	27	48	15	31	10.42%	1	419	16.78	2	3	5	14	72	0	0	1	0	54.55%	22	0	0.67	0	0	0	0	0	0
7	Aatu Raty	Mammoth	C	25	4	8	12	-12	24	0	46	59	59	19	40	6.78%	3	472	18.88	3	4	7	17	76	4	73	0	0	52.51%	537	0	0.51	0	0	0	0	0	1
8	Nick Perbix	Mammoth	D	25	5	7	12	-12	14	0	18	18	27	6	15	18.52%	40	425	17.01	2	5	7	10	27	1	51	1	0	0.00%	0	0	0.56	0	0	0	1	0	1
9	Jack St. Ivany	Mammoth	D	22	3	9	12	-8	57	5	56	11	25	10	19	12.00%	30	418	19.04	2	7	9	16	55	0	77	0	1	0.00%	0	0	0.57	0	0	0	2	0	1
10	Ethan Bear	Mammoth	D	25	1	8	9	-8	18	0	17	34	14	2	7	7.14%	28	378	15.16	1	0	1	4	14	1	26	0	1	0.00%	0	0	0.47	0	0	0	0	0	1
11	Zach Benson	Mammoth	LW	25	5	4	9	-18	4	0	12	43	45	16	32	11.11%	6	369	14.78	0	0	0	0	5	0	36	0	0	30.43%	46	0	0.49	0	0	0	0	1	0
12	Christian Fischer	Mammoth	RW	25	0	5	5	-12	38	0	47	22	29	5	27	0.00%	3	379	15.20	0	0	0	8	42	0	8	0	0	34.38%	32	0	0.26	0	0	0	0	0	1
13	Adam Ruzicka	Mammoth	C	25	2	1	3	-20	2	0	2	43	21	7	24	9.52%	4	354	14.19	0	0	0	0	0	0	23	1	0	50.88%	397	0	0.17	0	0	0	1	0	0
14	Martin Kaut	Mammoth	RW	15	2	1	3	-11	6	0	11	7	17	2	12	11.76%	1	196	13.11	0	0	0	0	2	0	0	1	0	33.33%	9	0	0.31	0	0	0	0	0	0
15	Jake Livingstone	Mammoth	D	25	0	2	2	-6	36	0	32	11	9	1	9	0.00%	26	366	14.68	0	0	0	0	2	0	43	0	0	0.00%	0	0	0.11	0	0	0	0	0	0
16	Dalibor Dvorsky	Mammoth	LW	25	1	1	2	-6	4	0	9	10	15	10	13	6.67%	1	119	4.79	0	0	0	0	2	0	9	0	0	50.00%	20	0	0.33	0	0	0	0	0	0
17	Rourke Chartier	Mammoth	C	20	1	0	1	-7	4	0	1	13	6	2	6	16.67%	3	80	4.03	0	0	0	0	0	0	0	1	0	58.70%	92	0	0.25	0	0	0	0	0	0
18	Brendan Lemieux	Mammoth	LW	2	0	0	0	-1	0	0	0	0	0	0	0	0.00%	0	4	2.09	0	0	0	0	2	0	0	0	0	0.00%	0	0	0.00	0	0	0	0	0	0
19	Max Jones	Mammoth	LW	25	0	0	0	-3	0	0	7	6	1	1	4	0.00%	0	61	2.44	0	0	0	0	7	0	17	0	0	0.00%	7	0	0.00	0	0	0	0	0	0
20	Topi Niemela	Mammoth	D	4	0	0	0	-5	0	0	4	2	0	0	0	0.00%	1	49	12.32	0	0	0	0	0	0	7	0	0	0.00%	0	0	0.00	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				435	61	103	164	-169	292	10	467	530	566	169	411	10.78%	271	6837	15.72	25	43	68	169	684	13	884	7	4	46.41%	2019	1	0.48	1	2	1	6	5	6

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	A	PS %	PSA	ST	BG	S3
1	Frederik Andersen	Mammoth	17	6	7	3	0.886	4.01	958	4	64	559	2	0.714	7	16	9	0
2	Jonas Johansson	Mammoth	6	2	2	0	0.904	3.66	279	0	17	177	0	0.000	0	4	21	1
Statistiques d’équipe totales ou en moyenne			23	8	9	3	0.890	3.93	1238	4	81	736	2	0.714	7	20	30	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	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	2039	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2040	2041	2042	2043	2044	Link
Aatu Raty	Mammoth	C	23	2002-11-14	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	925,000$	659,972$	No	RFA					Lien / Lien NHL
Adam Ruzicka	Mammoth	C	26	1999-05-11	No	215 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,250,000$	1,250,000$	891,854$	No	RFA					Lien / Lien NHL
Adam Scheel	Mammoth	G	26	1999-05-01	No	185 Lbs	6 ft4	No	No	No	1	Pro & Farm	750,000$	750,000$	535,112$	No	RFA					Lien / Lien NHL
Anthony Beauvillier	Mammoth	LW	28	1997-06-08	No	180 Lbs	5 ft11	No	No	Yes	1	Pro & Farm	4,000,000$	4,000,000$	2,853,933$	No	UFA					Lien / Lien NHL
Ben Chiarot	Mammoth	D	34	1991-05-09	No	224 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	2,140,449$	No	UFA					Lien / Lien NHL
Brandon Carlo	Mammoth	D	29	1996-11-26	No	220 Lbs	6 ft5	Yes	No	Yes	3	Pro Only	9,000,000$	9,000,000$	6,421,348$	No	9,000,000$	9,000,000$	UFA			Lien / Lien NHL
Brendan Lemieux	Mammoth	LW	29	1996-03-15	No	210 Lbs	6 ft1	No	No	Yes	1	Pro Only	7,000,000$	7,000,000$	4,994,382$	No	UFA					Lien / Lien NHL
Christian Fischer	Mammoth	RW	28	1997-04-15	No	212 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,700,000$	1,700,000$	1,212,921$	No	UFA					Lien / Lien NHL
Dalibor Dvorsky	Mammoth	LW	20	2005-06-15	Yes	206 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	925,000$	659,972$	No	925,000$	925,000$	RFA			Lien / Lien NHL
Daniel Sprong	Mammoth	RW	28	1997-03-17	No	195 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	2,140,449$	No	UFA					Lien / Lien NHL
Ethan Bear	Mammoth	D	28	1997-06-26	No	197 Lbs	5 ft11	No	No	No	2	Pro & Farm	2,000,000$	2,000,000$	1,426,966$	No	2,000,000$	UFA				Lien / Lien NHL
Frederik Andersen	Mammoth	G	36	1989-10-02	No	250 Lbs	6 ft4	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	3,567,416$	No	UFA					Lien / Lien NHL
Jack St. Ivany (sur la masse salariale)	Mammoth	D	26	1999-07-22	No	205 Lbs	6 ft4	No	No	No	3	Pro & Farm	875,000$	875,000$	624,298$	No	875,000$	875,000$	UFA			Lien / Lien NHL
Jake Livingstone	Mammoth	D	26	1999-04-16	No	213 Lbs	6 ft4	No	No	Yes	2	Pro Only	6,000,000$	6,000,000$	4,280,899$	No	6,000,000$	UFA				Lien / Lien NHL
Jayson Megna	Mammoth	C	35	1990-02-01	No	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	600,000$	600,000$	428,090$	No	UFA					Lien / Lien NHL
Jonas Johansson	Mammoth	G	30	1995-09-19	No	220 Lbs	6 ft5	No	No	Yes	1	Pro & Farm	4,000,000$	4,000,000$	2,853,933$	No	UFA					Lien / Lien NHL
Lawson Crouse	Mammoth	LW	28	1997-06-23	No	214 Lbs	6 ft4	Yes	No	Yes	5	Pro Only	7,000,000$	7,000,000$	4,994,382$	No	7,000,000$	7,000,000$	7,000,000$	7,000,000$	UFA	Lien / Lien NHL
Martin Kaut	Mammoth	RW	26	1999-10-02	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,150,000$	1,150,000$	820,506$	No	RFA					Lien / Lien NHL
Max Jones	Mammoth	LW	27	1998-02-17	No	216 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	2,300,000$	2,300,000$	1,641,011$	No	UFA					Lien / Lien NHL
Michael DiPietro	Mammoth	G	26	1999-06-09	No	200 Lbs	6 ft0	No	No	Yes	2	Pro Only	5,000,000$	5,000,000$	3,567,416$	No	5,000,000$	UFA				Lien / Lien NHL
Nick Perbix	Mammoth	D	27	1998-06-15	No	206 Lbs	6 ft4	No	No	Yes	1	Pro & Farm	2,600,000$	2,600,000$	1,855,056$	No	UFA					Lien / Lien NHL
Rourke Chartier	Mammoth	C	29	1996-04-03	No	201 Lbs	6 ft0	No	No	Yes	1	Pro Only	6,000,000$	6,000,000$	4,280,899$	No	UFA					Lien / Lien NHL
Topi Niemela	Mammoth	D	23	2002-03-25	No	181 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	925,000$	659,972$	No	925,000$	RFA				Lien / Lien NHL
Zach Benson	Mammoth	LW	20	2005-05-12	No	170 Lbs	5 ft10	Yes	No	No	2	Pro & Farm	1$	1$	1$	No	925,000$	RFA				Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
24	27.42	204 Lbs	6 ft2	1.63	3,125,000$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
75,000,001$	32,650,000$	17,800,000$	7,000,000$	7,000,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Lawson Crouse	Jayson Megna	Christian Fischer	40	1	2	2
2	Zach Benson	Aatu Raty	Daniel Sprong	30	1	2	2
3	Dalibor Dvorsky	Adam Ruzicka	Martin Kaut	20	1	2	2
4	Max Jones	Rourke Chartier	Lawson Crouse	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ben Chiarot	Brandon Carlo	40	1	2	2
2	Nick Perbix	Ethan Bear	30	1	2	2
3	Jake Livingstone	Topi Niemela	20	1	2	2
4	Ben Chiarot	Brandon Carlo	10	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Lawson Crouse	Jayson Megna	Christian Fischer	60	1	2	2
2	Zach Benson	Aatu Raty	Daniel Sprong	40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ben Chiarot	Brandon Carlo	60	1	2	2
2	Nick Perbix	Ethan Bear	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Lawson Crouse	Jayson Megna	60	1	2	2
2	Aatu Raty	Zach Benson	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ben Chiarot	Brandon Carlo	60	1	2	2
2	Nick Perbix	Ethan Bear	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Lawson Crouse	60	1	2	2	Ben Chiarot	Brandon Carlo	60	1	2	2
2	Jayson Megna	40	1	2	2	Nick Perbix	Ethan Bear	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Lawson Crouse	Jayson Megna	60	1	2	2
2	Aatu Raty	Zach Benson	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ben Chiarot	Brandon Carlo	60	1	2	2
2	Nick Perbix	Ethan Bear	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Lawson Crouse	Jayson Megna	Christian Fischer	Ben Chiarot	Brandon Carlo

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Lawson Crouse	Jayson Megna	Christian Fischer	Ben Chiarot	Brandon Carlo

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Brendan Lemieux, Dalibor Dvorsky, Max Jones	Brendan Lemieux, Dalibor Dvorsky	Max Jones

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jake Livingstone, Topi Niemela, Nick Perbix	Jake Livingstone	Topi Niemela, Nick Perbix

Tirs de pénalité
Lawson Crouse, Jayson Megna, Aatu Raty, Zach Benson, Christian Fischer

Gardien
#1 : Frederik Andersen, #2 : Jonas Johansson

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

Lignes de défense personnalisées en prolongation
, , , ,

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Avalanche	1	0	0	0	0	1	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	4	5	-1	1	0.500	4	7	11	0	0	1	2	1	0	31	5	16	8	2	38	8	20	18	4	2	50.00%	9	2	77.78%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	22	14	27	8	14	6
2	Blackhawks	2	0	0	0	0	1	1	0	6	6	0	1	0	0	0	0	1	0	0	2	3	-1	1	0	0	0	0	0	1	0	4	3	1	3	0.750	6	10	16	0	0	1	1	3	1	75	31	16	25	6	68	19	32	26	14	4	28.57%	15	2	86.67%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	45	29	53	17	26	12
3	Blues	1	1	0	0	0	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	5	1	2	1.000	6	10	16	0	0	4	1	1	0	25	12	7	6	0	41	10	14	25	3	2	66.67%	7	2	71.43%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	18	12	29	7	11	5
4	Canucks	2	1	1	0	0	0	0	0	5	10	-5	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	2	8	-6	2	0.500	5	10	15	0	0	1	2	2	0	49	12	20	17	0	59	20	16	38	5	2	40.00%	7	2	71.43%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	41	26	53	15	25	11
5	Devils	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	1	0	0	0	18	8	0	10	0	41	7	12	20	4	0	0.00%	6	3	50.00%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	20	12	27	7	12	6
6	Ducks	2	1	1	0	0	0	0	0	6	7	-1	2	1	1	0	0	0	0	0	6	7	-1	0	0	0	0	0	0	0	0	0	0	0	2	0.500	6	8	14	0	0	2	3	1	0	54	16	25	13	0	87	23	22	54	4	1	25.00%	11	2	81.82%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	43	29	51	14	25	11
7	Flames	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	4	2	2	4	1.000	10	18	28	0	0	2	5	3	0	67	16	30	21	0	78	19	18	29	13	6	46.15%	9	2	77.78%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	47	33	48	14	24	11
8	GoldenKnights	1	0	1	0	0	0	0	0	3	7	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	7	-4	0	0.000	3	4	7	0	0	0	3	0	0	34	14	8	12	0	52	8	16	21	2	0	0.00%	6	0	100.00%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	21	14	25	7	12	5
9	Islanders	1	0	1	0	0	0	0	0	0	4	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	0	0	0	0	0	0	0	0	0	17	4	6	7	0	28	8	20	24	3	0	0.00%	3	0	100.00%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	21	13	25	7	13	5
10	Jets	2	0	2	0	0	0	0	0	4	8	-4	2	0	2	0	0	0	0	0	4	8	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	8	12	0	0	2	1	1	0	43	14	14	15	0	79	21	31	50	2	1	50.00%	11	2	81.82%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	36	23	57	15	25	11
11	Kings	2	1	1	0	0	0	0	0	5	4	1	2	1	1	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	0.500	5	9	14	0	1	2	2	1	0	45	15	17	13	0	74	36	26	41	10	3	30.00%	12	2	83.33%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	40	25	53	16	25	12
12	Lightning	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	2	4	6	0	0	1	1	0	0	19	5	7	7	0	52	21	20	32	5	1	20.00%	10	4	60.00%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	17	9	29	8	12	6
13	MapleLeafs	1	0	0	0	0	1	0	0	3	4	-1	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	5	8	0	0	2	0	1	0	24	12	4	7	1	42	9	4	27	3	2	66.67%	2	0	100.00%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	23	17	24	6	11	5
14	Oilers	2	0	2	0	0	0	0	0	2	11	-9	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	2	7	-5	0	0.000	2	4	6	0	0	0	2	0	0	30	11	15	4	0	96	37	36	40	4	0	0.00%	18	3	83.33%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	33	20	62	16	23	9
15	Panthers	2	0	2	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	3	6	9	0	0	1	1	1	0	33	12	10	11	0	66	21	35	37	8	0	0.00%	11	1	90.91%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	34	20	60	16	25	10
16	RedWings	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	4	7	0	0	2	1	0	0	23	10	7	6	0	28	13	6	20	5	2	40.00%	3	1	66.67%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	19	12	26	7	13	6
17	Wild	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	1	2	1	0	26	10	9	7	0	38	14	8	14	7	2	28.57%	4	1	75.00%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	19	12	27	8	12	6
	Total	25	7	14	0	0	3	1	0	67	104	-37	14	5	7	0	0	2	0	0	38	49	-11	11	2	7	0	0	1	1	0	29	55	-26	19	0.380	67	116	183	0	1	23	27	16	1	613	207	211	189	9	967	294	336	516	96	28	29.17%	144	29	79.86%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	505	327	685	199	317	146
	_Since Last GM Reset	25	7	14	0	0	3	1	0	67	104	-37	14	5	7	0	0	2	0	0	38	49	-11	11	2	7	0	0	1	1	0	29	55	-26	19	0.380	67	116	183	0	1	23	27	16	1	613	207	211	189	9	967	294	336	516	96	28	29.17%	144	29	79.86%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	505	327	685	199	317	146
	_Vs Conference	18	7	8	0	0	2	1	0	55	72	-17	11	5	5	0	0	1	0	0	30	35	-5	7	2	3	0	0	1	1	0	25	37	-12	18	0.500	55	95	150	0	1	16	24	14	1	479	156	177	141	8	710	215	239	356	68	23	33.82%	109	20	81.65%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	369	240	490	144	228	104
	_Vs Division	11	5	6	0	0	0	0	0	31	45	-14	7	4	3	0	0	0	0	0	20	21	-1	4	1	3	0	0	0	0	0	11	24	-13	10	0.455	31	53	84	0	1	7	17	7	0	279	84	115	80	0	446	143	134	223	38	12	31.58%	63	11	82.54%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	227	148	294	85	137	63

			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
25	19	OTL1	67	116	183	613	967	294	336	516	0	1

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
25	7	14	0	3	1	0	67	104

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	5	7	0	2	0	0	38	49

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	2	7	0	1	1	0	29	55

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
3	6	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
96	28	29.17%	144	29	79.86%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
207	211	189	9	23	27	16	1

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
368	744	49.46%	447	1026	43.57%	181	397	45.59%

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
505	327	685	199	317	146

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	1	Jets	5	Mammoth	3	BL			Sommaire du match
3	29	Mammoth	3	GoldenKnights	7	AL			Sommaire du match
5	34	Kings	0	Mammoth	4	BW			Sommaire du match
7	52	Wild	3	Mammoth	4	BW			Sommaire du match
9	71	Mammoth	4	Avalanche	5	AL	X		Sommaire du match
12	88	Blackhawks	3	Mammoth	2	BL	X		Sommaire du match
14	106	Mammoth	0	Islanders	4	AL			Sommaire du match
15	116	Mammoth	1	Devils	4	AL			Sommaire du match
17	130	Mammoth	1	Panthers	4	AL			Sommaire du match
20	154	Mammoth	2	Lightning	6	AL			Sommaire du match
22	162	Oilers	4	Mammoth	0	BL			Sommaire du match
24	180	Ducks	2	Mammoth	4	BW			Sommaire du match
26	199	Mammoth	6	Blues	5	AW			Sommaire du match
27	201	Mammoth	4	Blackhawks	3	AW	X	X	Sommaire du match
29	213	Kings	4	Mammoth	1	BL			Sommaire du match
31	229	Flames	4	Mammoth	6	BW			Sommaire du match
33	244	Ducks	5	Mammoth	2	BL			Sommaire du match
36	264	RedWings	6	Mammoth	3	BL			Sommaire du match
38	282	Canucks	2	Mammoth	3	BW			Sommaire du match
40	294	Panthers	4	Mammoth	2	BL			Sommaire du match
42	311	Jets	3	Mammoth	1	BL			Sommaire du match
45	343	Mammoth	2	Canucks	8	AL			Sommaire du match
47	350	Mammoth	2	Oilers	7	AL			Sommaire du match
48	358	Mammoth	4	Flames	2	AW			Sommaire du match
50	369	MapleLeafs	4	Mammoth	3	BL	X		Sommaire du match
52	385	Blues	-	Mammoth	-
54	408	Mammoth	-	GoldenKnights	-
57	421	Stars	-	Mammoth	-
59	436	BlueJackets	-	Mammoth	-
61	459	Mammoth	-	Predators	-
62	464	Mammoth	-	Stars	-
64	481	Mammoth	-	Sharks	-
70	504	Mammoth	-	Canadiens	-
71	511	Mammoth	-	Senators	-
73	520	Mammoth	-	MapleLeafs	-
75	533	Penguins	-	Mammoth	-
77	547	Sharks	-	Mammoth	-
80	570	Mammoth	-	Flames	-
81	577	Mammoth	-	Oilers	-
83	600	Mammoth	-	Canucks	-
87	622	Rangers	-	Mammoth	-
89	638	Devils	-	Mammoth	-
91	652	Oilers	-	Mammoth	-
94	674	GoldenKnights	-	Mammoth	-
95	675	Mammoth	-	Ducks	-
97	696	Mammoth	-	Kings	-
98	711	Mammoth	-	Sharks	-
99	714	Avalanche	-	Mammoth	-
101	731	Canadiens	-	Mammoth	-
103	745	Islanders	-	Mammoth	-
105	762	Mammoth	-	Hurricanes	-
107	783	Mammoth	-	Rangers	-
108	786	Mammoth	-	Sabres	-
110	798	Mammoth	-	Bruins	-
113	819	Sharks	-	Mammoth	-
115	833	Capitals	-	Mammoth	-
117	851	Mammoth	-	Kings	-
120	866	Blues	-	Mammoth	-
122	886	Mammoth	-	Predators	-
124	899	Mammoth	-	Wild	-
126	911	Flames	-	Mammoth	-
128	927	Avalanche	-	Mammoth	-
129	942	GoldenKnights	-	Mammoth	-
133	970	Bruins	-	Mammoth	-
135	987	Predators	-	Mammoth	-
137	1001	Mammoth	-	RedWings	-
139	1019	Mammoth	-	Capitals	-
140	1029	Mammoth	-	Penguins	-
142	1044	Mammoth	-	Flyers	-
145	1058	Flyers	-	Mammoth	-
148	1078	Hurricanes	-	Mammoth	-
151	1096	Senators	-	Mammoth	-
154	1114	Lightning	-	Mammoth	-
156	1129	Canucks	-	Mammoth	-
158	1143	Mammoth	-	BlueJackets	-
161	1170	Mammoth	-	Jets	-
163	1175	Mammoth	-	Blackhawks	-
165	1187	Mammoth	-	Wild	-
168	1202	Sabres	-	Mammoth	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
170	1228	Mammoth	-	Ducks	-
174	1244	Ducks	-	Mammoth	-
176	1261	Mammoth	-	Stars	-

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Anthony Beauvillier

AGE:28
SK:		82
EN:		76
DU:		98
PH:		58
PA:		50
SC:		65
DF:		72
Lawson Crouse

AGE:28
SK:		75
EN:		77
DU:		98
PH:		54
PA:		46
SC:		62
DF:		70
Zach Benson

AGE:20
SK:		84
EN:		79
DU:		94
PH:		60
PA:		60
SC:		61
DF:		73
Emil Heineman

AGE:24
SK:		78
EN:		74
DU:		85
PH:		57
PA:		51
SC:		63
DF:		65
Ville Koivunen

AGE:22
SK:		83
EN:		72
DU:		62
PH:		61
PA:		66
SC:		57
DF:		62
Noah Ostlund (R)

AGE:21
SK:		93
EN:		60
DU:		50
PH:		58
PA:		51
SC:		65
DF:		70
Dalibor Dvorsky (R)

AGE:20
SK:		86
EN:		70
DU:		60
PH:		55
PA:		52
SC:		58
DF:		50
Brennan Othmann

AGE:22
SK:		76
EN:		71
DU:		58
PH:		49
PA:		47
SC:		50
DF:		69
Max Jones

AGE:27
SK:		75
EN:		70
DU:		61
PH:		48
PA:		43
SC:		53
DF:		51
Nikita Chibrikov

AGE:22
SK:		77
EN:		60
DU:		50
PH:		50
PA:		50
SC:		49
DF:		50
Brendan Lemieux

AGE:29
SK:		75
EN:		60
DU:		50
PH:		32
PA:		20
SC:		44
DF:		56
Jakub Stancl (R)

AGE:20
SK:		81
EN:		60
DU:		50
PH:		29
PA:		28
SC:		30
DF:		51

Aatu Raty

AGE:23
SK:		79
EN:		72
DU:		66
PH:		59
PA:		50
SC:		67
DF:		64
Jayson Megna

AGE:35
SK:		80
EN:		74
DU:		64
PH:		57
PA:		60
SC:		54
DF:		70
Samuel Helenius

AGE:23
SK:		75
EN:		69
DU:		77
PH:		51
PA:		45
SC:		57
DF:		58
Hendrix Lapierre

AGE:23
SK:		80
EN:		71
DU:		62
PH:		57
PA:		64
SC:		50
DF:		62
Jacob Quillan (R)

AGE:23
SK:		85
EN:		76
DU:		66
PH:		48
PA:		43
SC:		52
DF:		70
Adam Ruzicka

AGE:26
SK:		75
EN:		60
DU:		50
PH:		54
PA:		52
SC:		56
DF:		59
Rourke Chartier

AGE:29
SK:		75
EN:		60
DU:		50
PH:		48
PA:		42
SC:		54
DF:		57
Ryan Winterton

AGE:22
SK:		75
EN:		73
DU:		51
PH:		48
PA:		47
SC:		50
DF:		49
Ondrej Becher (R)

AGE:21
SK:		86
EN:		68
DU:		58
PH:		39
PA:		34
SC:		44
DF:		50

Christian Fischer

AGE:28
SK:		75
EN:		73
DU:		75
PH:		51
PA:		51
SC:		52
DF:		64
Daniel Sprong

AGE:28
SK:		78
EN:		75
DU:		64
PH:		55
PA:		54
SC:		55
DF:		62
Cole Schwindt

AGE:24
SK:		75
EN:		70
DU:		72
PH:		53
PA:		54
SC:		52
DF:		63
William Stromgren

AGE:22
SK:		76
EN:		79
DU:		69
PH:		54
PA:		61
SC:		46
DF:		50
Martin Kaut

AGE:26
SK:		77
EN:		60
DU:		50
PH:		54
PA:		44
SC:		55
DF:		57
Filip Mesar (R)

AGE:21
SK:		91
EN:		60
DU:		50
PH:		43
PA:		47
SC:		38
DF:		60
Lauri Pajuniemi

AGE:26
SK:		76
EN:		60
DU:		50
PH:		48
PA:		43
SC:		53
DF:		60
Tyler Tullio

AGE:23
SK:		75
EN:		60
DU:		50
PH:		39
PA:		43
SC:		36
DF:		55
Lukas Svejkovsky

AGE:24
SK:		75
EN:		60
DU:		50
PH:		34
PA:		29
SC:		39
DF:		64

Défense #1

Défense #2

Gardien

Ben Chiarot

AGE:34
SK:		75
EN:		85
DU:		98
PH:		53
PA:		49
SC:		56
DF:		74
Brandon Carlo

AGE:29
SK:		75
EN:		81
DU:		99
PH:		51
PA:		51
SC:		51
DF:		81
Lian Bichsel

AGE:21
SK:		75
EN:		74
DU:		69
PH:		57
PA:		51
SC:		63
DF:		67
Jack St. Ivany

AGE:26
SK:		75
EN:		77
DU:		56
PH:		47
PA:		44
SC:		50
DF:		79
Nick Perbix

AGE:27
SK:		76
EN:		74
DU:		94
PH:		57
PA:		54
SC:		60
DF:		69
Scott Morrow (R)

AGE:23
SK:		80
EN:		76
DU:		53
PH:		64
PA:		69
SC:		59
DF:		75

Ethan Bear

AGE:28
SK:		81
EN:		66
DU:		61
PH:		59
PA:		68
SC:		50
DF:		70
Luca Cagnoni (R)

AGE:21
SK:		93
EN:		68
DU:		63
PH:		63
PA:		66
SC:		61
DF:		53
Jake Livingstone

AGE:26
SK:		75
EN:		63
DU:		58
PH:		39
PA:		33
SC:		45
DF:		70
Simon Nemec

AGE:21
SK:		77
EN:		74
DU:		62
PH:		53
PA:		46
SC:		59
DF:		60
Topi Niemela

AGE:23
SK:		75
EN:		65
DU:		60
PH:		40
PA:		47
SC:		34
DF:		50
Victor Soderstrom

AGE:24
SK:		77
EN:		55
DU:		50
PH:		49
PA:		50
SC:		48
DF:		52

Frederik Andersen

AGE:36
SK:		88
AG:		78
RB:		79
SC:		79
HS:		76
RT:		75
DF:		81
Jonas Johansson

AGE:30
SK:		78
AG:		71
RB:		71
SC:		72
HS:		72
RT:		71
DF:		69
Michael DiPietro

AGE:26
SK:		82
AG:		67
RB:		72
SC:		68
HS:		72
RT:		69
DF:		72
Sergei Murashov (R)

AGE:21
SK:		75
AG:		63
RB:		59
SC:		63
HS:		60
RT:		61
DF:		60
Adam Scheel

AGE:26
SK:		76
AG:		56
RB:		58
SC:		54
HS:		55
RT:		54
DF:		53
Henrik Tikkanen

AGE:25
SK:		78
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Ruslan Khazheyev (R)

AGE:21
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

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
Adam Gajan	Mammoth	2037	44
Aku Koskenvuo	Mammoth	2035	165
Alex Ciernik	Mammoth	2037	108
Andrew Cristall	Mammoth	2037	29
Anton Silayev	Mammoth	2038	15
Arseny Gritsyuk	Mammoth	2033	158
Berkly Catton	Mammoth	2038	5
Braeden Cootes	Mammoth	2039	20
Cameron Allen	Mammoth	2037	118
Cameron Reid	Mammoth	2039	25
Carson Bantle	Mammoth	2034	167
Carter George	Mammoth	2038	37
Charlie Forslund	Mammoth	2038	170
Charlie Stramel	Mammoth	2037	40
Chase Pietila	Mammoth	2038	129
Chase Wutzke	Mammoth	2038	160
Chase Yoder	Mammoth	2034	198
Cooper Moore	Mammoth	2033	166
Cullen Potter	Mammoth	2039	27
Daniil Prokhorov	Mammoth	2039	36
David Edstrom	Mammoth	2037	42
Dmitriy Simashev	Mammoth	2037	9
Dominik Badinka	Mammoth	2038	36
Emil Hemming	Mammoth	2038	35
Eric Hjorth	Mammoth	2033	136
Henry Mews	Mammoth	2038	67
Ivan Ryabkin	Mammoth	2039	58
Jack Phelan	Mammoth	2037	166
Jake Boltmann	Mammoth	2034	105
Jakob Ihs Wozniak	Mammoth	2039	67
Jared Wright	Mammoth	2036	199
Kalle Vaisanen	Mammoth	2035	134
Kasper Kotkansalo	Mammoth	2031	114
Kirill Dolzhenkov	Mammoth	2036	132
Kirill Kirsanov	Mammoth	2035	103
Leo Sahlin Wallenius	Mammoth	2038	49
Ludwig Persson	Mammoth	2036	106
Luke Misa	Mammoth	2038	63
Mans Goos	Mammoth	2039	160
Marek Vanacker	Mammoth	2038	27
Martin Has	Mammoth	2033	196
Matthew Mania	Mammoth	2037	155
Matthew Schaefer	Mammoth	2039	2
Nikita Artamonov	Mammoth	2038	44
Oliver Moore	Mammoth	2037	20
Otto Salin	Mammoth	2036	168
Petr Sikora	Mammoth	2038	191
Raoul Boilard	Mammoth	2038	84
Roger McQueen	Mammoth	2039	9
Sascha Boumedienne	Mammoth	2039	31
Semyon Vyazovoi	Mammoth	2035	196
Taylor Makar	Mammoth	2039	191
Tomas Mrsic	Mammoth	2038	108
Victor Eklund	Mammoth	2039	15
Yegor Borikov	Mammoth	2039	129
Zayne Parekh	Mammoth	2038	8

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7
2040
2041
2042

Mammoth 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	Mark Stone	621	323	463	786	132	354	692	1632	2718	11.88%	277	14803	23.84	88	132	220	681	3	9	12	74	43	17	34.25%	11	1.06	15	46
2	Brad Winchester	1477	264	420	684	135	1279	1971	1878	2773	9.52%	844	24046	16.28	49	83	132	289	7	10	17	78	45	15	48.47%	4	0.57	12	32
3	Mike Hoffman	818	273	354	627	51	165	503	1285	2491	10.96%	109	16137	19.73	63	115	178	610	5	2	7	46	32	19	34.62%	5	0.78	16	31
4	Joe Pavelski	430	206	291	497	73	438	965	1485	1872	11.00%	131	10494	24.41	45	107	152	478	5	3	8	55	34	13	54.45%	4	0.95	8	44
5	Joe Thornton	491	132	345	477	33	205	365	1254	1304	10.12%	84	10022	20.41	38	140	178	308	2	2	4	30	20	11	57.25%	0	0.95	6	33

Mammoth 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	A	EG	PS %	PSA
1	Henrik Lundqvist	368	194	131	23	0.897	3.17	21197	38	19	1119	10857	12	9	0.847	111
2	Ryan Miller	183	76	82	16	0.891	3.56	10269	10	2	610	5617	12	4	0.670	88
3	Elvis Merzlikins	243	72	138	13	0.877	4.33	12971	35	1	936	7619	6	3	0.750	36
4	Simeon Varlamov	169	69	74	15	0.894	3.57	9441	14	2	561	5278	5	5	0.780	41
5	Nikolai Khabibulin	174	55	93	8	0.903	3.36	9558	54	3	535	5537	13	4	0.824	51

Mammoth 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
2017	82	42	28	0	3	0	4	5	267	236	31	41	21	12	0	2	0	3	3	137	120	17	41	21	16	0	1	0	1	2	130	116	14	90	267	428	695	0	2	0	69	118	73	2787	0	913	972	882	2633	866	1272	1955	266	49	18.42%	310	47	84.84%	7	1073	2205	48.66%	972	2040	47.65%	690	1396	49.43%	1714	958	1925	846	1498	729
2018	82	38	30	0	3	0	6	5	260	218	42	41	20	15	0	2	0	1	3	135	115	20	41	18	15	0	1	0	5	2	125	103	22	82	260	407	667	0	1	0	59	106	86	2601	0	783	936	848	2538	779	1078	1947	235	44	18.72%	234	33	85.90%	5	993	1951	50.90%	999	2013	49.63%	647	1275	50.75%	1699	931	1754	775	1527	758
2019	82	27	38	0	3	2	9	3	222	237	-15	41	13	18	0	2	2	4	2	115	118	-3	41	14	20	0	1	0	5	1	107	119	-12	62	222	345	567	1	0	0	46	82	82	2363	0	645	840	846	2671	912	983	1840	189	33	17.46%	230	44	80.87%	5	1013	1924	52.65%	1074	2131	50.40%	610	1194	51.09%	1617	850	1804	780	1568	779
2020	82	37	29	0	2	3	6	5	251	247	4	41	17	11	0	2	2	5	4	120	114	6	41	20	18	0	0	1	1	1	131	133	-2	81	251	401	652	3	0	0	58	96	89	2350	0	632	829	867	2502	866	1202	1695	226	67	29.65%	258	45	82.56%	6	1001	1977	50.63%	1068	2099	50.88%	615	1187	51.81%	1606	839	1803	789	1578	781
2021	82	14	56	0	1	2	5	4	161	320	-159	41	10	25	0	0	2	4	0	95	165	-70	41	4	31	0	1	0	1	4	66	155	-89	32	161	267	428	3	1	0	57	51	47	1740	0	562	547	611	3060	923	1330	1984	369	64	17.34%	554	112	79.78%	0	1190	2479	48.00%	1618	3459	46.78%	579	1248	46.39%	1666	1064	2266	658	1042	478
2022	82	14	58	0	0	1	3	6	151	302	-151	41	6	31	0	0	1	2	1	77	161	-84	41	8	27	0	0	0	1	5	74	141	-67	29	151	258	409	1	0	0	56	53	39	1925	0	641	653	610	3204	948	1378	2050	376	48	12.77%	567	129	77.25%	8	1210	2601	46.52%	1627	3614	45.02%	586	1239	47.30%	1696	1090	2233	658	1036	475
2023	82	24	42	0	2	1	5	8	257	299	-42	41	11	23	0	1	0	3	3	125	153	-28	41	13	19	0	1	1	2	5	132	146	-14	53	257	444	701	3	1	0	89	86	75	2415	0	769	787	835	2574	762	846	1693	449	107	23.83%	346	75	78.32%	2	1404	2840	49.44%	1423	2956	48.14%	679	1375	49.38%	1921	1325	2025	634	1043	515
2024	82	19	54	0	1	1	3	4	210	330	-120	41	9	27	0	0	1	1	3	101	170	-69	41	10	27	0	1	0	2	1	109	160	-51	51	210	358	568	2	2	0	81	80	45	2298	0	750	799	734	2826	824	1084	1755	405	69	17.04%	407	91	77.64%	4	1321	2831	46.66%	1346	3073	43.80%	621	1355	45.83%	1755	1171	2166	640	1037	490
2025	82	23	47	0	4	2	4	2	245	302	-57	41	14	23	0	1	1	2	0	123	146	-23	41	9	24	0	3	1	2	2	122	156	-34	66	245	413	658	1	0	0	87	81	69	2250	0	766	690	780	2970	837	1107	2129	358	70	19.55%	480	109	77.29%	4	1173	2703	43.40%	1447	3354	43.14%	570	1357	42.00%	1678	1082	2230	653	1053	490
2026	82	36	31	0	2	2	5	6	262	256	6	41	21	14	0	2	1	1	2	141	122	19	41	15	17	0	0	1	4	4	121	134	-13	94	262	470	732	3	3	0	91	80	84	2490	0	788	803	856	2414	706	853	1730	460	78	16.96%	368	67	81.79%	3	1564	2936	53.27%	1549	2942	52.65%	696	1289	54.00%	2045	1428	1904	617	1033	519
2027	82	49	21	0	5	3	1	3	318	228	90	41	26	10	0	1	3	1	0	147	109	38	41	23	11	0	4	0	0	3	171	119	52	116	318	577	895	2	4	0	130	103	79	2886	0	991	961	906	2343	699	932	1732	440	88	20.00%	395	58	85.32%	2	1801	3212	56.07%	1556	2898	53.69%	705	1335	52.81%	2011	1398	1921	618	1023	509
2030	82	42	23	0	1	5	9	2	269	229	40	41	22	11	0	0	3	5	0	134	101	33	41	20	12	0	1	2	4	2	135	128	7	111	269	455	724	1	8	0	97	83	79	2523	0	852	829	817	2517	699	873	1892	439	78	17.77%	381	69	81.89%	3	1533	2975	51.53%	1554	3044	51.05%	672	1309	51.34%	1947	1333	1995	631	1045	514
2031	82	29	34	0	4	1	11	3	273	265	8	41	14	18	0	2	0	5	2	126	131	-5	41	15	16	0	2	1	6	1	147	134	13	92	273	470	743	3	3	0	93	78	87	2693	0	913	870	873	2584	756	1080	1868	406	66	16.26%	431	87	79.81%	5	1587	3058	51.90%	1509	2986	50.54%	663	1320	50.23%	1987	1366	1970	631	1045	511
2032	82	33	37	0	3	3	5	1	288	289	-1	41	18	16	0	2	1	3	1	165	144	21	41	15	21	0	1	2	2	0	123	145	-22	86	288	493	781	1	2	0	112	89	79	2635	0	889	829	895	2701	849	1082	1876	388	87	22.42%	464	101	78.23%	3	1570	3011	52.14%	1486	3007	49.42%	737	1367	53.91%	1958	1343	1971	617	1036	513
2033	82	27	40	0	3	3	6	3	307	334	-27	41	16	17	0	2	2	4	0	154	146	8	41	11	23	0	1	1	2	3	153	188	-35	78	307	522	829	2	2	0	118	106	74	2858	0	996	910	922	2715	740	1071	1953	416	81	19.47%	469	107	77.19%	3	1635	3150	51.90%	1383	2968	46.60%	751	1455	51.62%	1941	1328	1987	617	1046	510
2034	82	32	42	0	1	2	4	1	259	310	-51	41	15	22	0	1	1	2	0	121	152	-31	41	17	20	0	0	1	2	1	138	158	-20	77	259	457	716	3	0	0	98	76	80	2539	0	844	752	923	2761	840	1046	1990	386	73	18.91%	428	85	80.14%	5	1280	2896	44.20%	1275	3092	41.24%	574	1362	42.14%	1872	1266	2040	622	1036	504
2035	82	33	34	0	3	5	3	4	264	269	-5	41	23	12	0	1	1	1	3	150	130	20	41	10	22	0	2	4	2	1	114	139	-25	87	264	466	730	4	2	0	102	83	73	2579	0	848	863	844	2649	805	906	2051	413	53	12.83%	406	87	78.57%	0	1200	2960	40.54%	1230	3178	38.70%	516	1262	40.89%	1882	1267	2043	639	1043	513
2036	82	31	41	0	4	3	1	2	302	327	-25	41	14	21	0	3	1	1	1	145	160	-15	41	17	20	0	1	2	0	1	157	167	-10	77	302	527	829	1	0	0	134	83	80	2678	0	880	927	848	2829	853	859	1817	375	69	18.40%	373	78	79.09%	4	1304	2894	45.06%	1293	3022	42.79%	627	1433	43.75%	1786	1194	2124	626	1042	500
2037	82	14	56	0	3	5	2	2	246	387	-141	41	8	26	0	2	1	2	2	135	182	-47	41	6	30	0	1	4	0	0	111	205	-94	45	246	442	688	1	0	83	90	68	7	2370	755	763	837	30	3034	900	861	1726	400	73	18.25%	362	89	75.41%	2	1235	2739	45.09%	1319	3059	43.12%	634	1456	43.54%	1793	1199	2118	628	1044	502
2038	82	14	57	0	4	5	1	1	212	365	-153	41	7	28	0	1	4	0	1	105	184	-79	41	7	29	0	3	1	1	0	107	181	-74	44	212	373	585	0	2	60	78	69	6	2106	667	717	712	20	2990	910	825	1725	366	61	16.67%	343	89	74.05%	4	1133	2481	45.67%	1340	3098	43.25%	608	1371	44.35%	1704	1130	2210	635	1030	480
2039	25	7	14	0	0	3	1	0	67	104	-37	14	5	7	0	0	2	0	0	38	49	-11	11	2	7	0	0	1	1	0	29	55	-26	19	67	116	183	0	1	23	27	16	1	613	207	211	189	9	967	294	336	516	96	28	29.17%	144	29	79.86%	0	368	744	49.46%	447	1026	43.57%	181	397	45.59%	505	327	685	199	317	146
Total Saison régulière	1665	585	812	0	52	52	94	70	5091	5854	-763	834	310	387	0	27	29	50	31	2589	2872	-283	831	275	425	0	25	23	44	39	2502	2982	-480	1472	5091	8689	13780	35	34	166	1772	1687	1334	49699	1629	16153	16535	14956	55482	16768	21004	37924	7458	1386	18.58%	7950	1631	79.48%	75	26588	54567	48.73%	27515	59059	46.59%	12961	26982	48.04%	36793	23897	41182	13521	23130	11227
Séries éliminatoires
2017	4	0	4	0	0	0	0	0	6	12	-6	2	0	2	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	2	5	-3	0	6	9	15	0	0	0	0	3	3	94	0	21	36	33	110	46	43	87	16	2	12.50%	16	1	93.75%	0	36	95	37.89%	42	91	46.15%	32	60	53.33%	77	35	2013	887	84	43
2018	5	1	4	0	0	0	0	0	6	12	-6	3	1	2	0	0	0	0	0	3	4	-1	2	0	2	0	0	0	0	0	3	8	-5	2	6	10	16	0	1	0	1	4	1	124	0	43	37	35	141	43	68	91	10	1	10.00%	10	1	90.00%	0	57	100	57.00%	63	122	51.64%	40	74	54.05%	98	47	107	51	114	57
2020	13	7	6	0	0	0	0	0	34	36	-2	6	3	3	0	0	0	0	0	17	18	-1	7	4	3	0	0	0	0	0	17	18	-1	14	34	58	92	0	0	0	7	13	13	363	0	118	117	127	443	141	176	243	32	9	28.13%	29	6	79.31%	0	150	318	47.17%	158	336	47.02%	96	201	47.76%	244	131	303	120	235	114
2026	5	1	4	0	0	0	0	0	17	20	-3	2	0	2	0	0	0	0	0	6	9	-3	3	1	2	0	0	0	0	0	11	11	0	2	17	29	46	1	0	0	4	8	5	146	0	48	47	51	149	42	64	113	28	6	21.43%	31	6	80.65%	0	106	192	55.21%	94	180	52.22%	46	81	56.79%	123	84	117	36	62	30
2027	24	15	9	0	0	0	0	0	97	83	14	11	7	4	0	0	0	0	0	51	36	15	13	8	5	0	0	0	0	0	46	47	-1	30	97	169	266	1	2	0	38	26	31	738	0	232	240	242	794	225	287	527	130	26	20.00%	117	29	75.21%	3	451	849	53.12%	478	931	51.34%	209	410	50.98%	569	391	600	190	312	151
2030	6	2	4	0	0	0	0	0	18	25	-7	3	2	1	0	0	0	0	0	11	13	-2	3	0	3	0	0	0	0	0	7	12	-5	4	18	33	51	0	0	0	5	8	5	183	0	73	59	51	196	55	87	117	34	4	11.76%	30	7	76.67%	0	109	231	47.19%	121	231	52.38%	52	106	49.06%	137	92	146	46	75	37
2031	11	6	5	0	0	0	0	0	32	30	2	5	3	2	0	0	0	0	0	15	14	1	6	3	3	0	0	0	0	0	17	16	1	12	32	58	90	0	2	0	10	12	9	349	0	119	105	111	365	109	137	245	57	8	14.04%	59	13	77.97%	1	211	424	49.76%	236	442	53.39%	85	169	50.30%	269	185	261	86	141	70
2032	5	1	4	0	0	0	0	0	10	25	-15	2	0	2	0	0	0	0	0	3	10	-7	3	1	2	0	0	0	0	0	7	15	-8	2	10	18	28	0	0	0	5	2	2	148	0	45	42	42	208	55	70	119	21	2	9.52%	31	5	83.87%	0	112	205	54.63%	120	239	50.21%	55	101	54.46%	123	82	149	43	69	31
Total Séries éliminatoires	73	33	40	0	0	0	0	0	220	243	-23	34	16	18	0	0	0	0	0	110	111	-1	39	17	22	0	0	0	0	0	110	132	-22	66	220	384	604	2	5	0	70	76	69	2145	0	699	683	692	2406	716	932	1542	328	58	17.68%	323	68	78.95%	4	1232	2414	51.04%	1312	2572	51.01%	615	1202	51.16%	1643	1050	3700	1463	1096	536

Mammoth 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	PKA	PKP	PKS	GW	GT	FO%	HT	P/20
1	Joe Pavelski	51	31	52	83	22	87	157	208	246	12.60%	16	1269	24.89	11	17	28	63	0	3	3	3	5	1	53.06%	0	1.31
2	Mark Stone	50	34	40	74	22	11	28	136	241	14.11%	22	1234	24.69	11	15	26	64	3	0	3	10	5	1	33.96%	2	1.20
3	Mike Hoffman	49	16	34	50	17	12	30	69	135	11.85%	5	963	19.66	5	16	21	42	0	0	0	0	2	2	44.16%	0	1.04
4	Jack Johnson	51	9	34	43	11	61	81	60	81	11.11%	85	1322	25.93	3	8	11	45	0	1	1	2	2	0	0.00%	0	0.65
5	Joe Thornton	51	10	22	32	1	21	31	132	108	9.26%	6	1042	20.44	1	5	6	24	0	0	0	0	1	1	54.59%	0	0.61

Mammoth 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
1	Henrik Lundqvist	42	22	16	3	0.900	3.25	2457	6	4	133	1329	0	1	1
2	Miikka Kiprusoff	13	7	5	1	0.919	2.76	782	0	0	36	443	179	0	0
3	Ryan Miller	12	3	6	1	0.862	4.30	586	0	0	42	305	0	1	1
4	Jean-Sebastien Giguere	5	1	2	1	0.940	1.50	281	0	1	7	117	49	0	0
5	Jean-Sebastien Giguere	4	0	2	2	0.891	2.88	250	0	0	12	110	47	0	0