Accueil
G�n�ral
Liens d'�quipes
- �quipe Pro
  - Eastern
    - Blue Jackets
    - Bruins
    - Canadiens
    - Capitals
    - Devils
    - Flyers
    - Hurricanes
    - Islanders
    - Lightning
    - Maple Leafs
    - Panthers
    - Penguins
    - Rangers
    - Red Wings
    - Sabres
    - Senators
  - Western
    - Avalanche
    - Blackhawks
    - Blues
    - Canucks
    - Coyotes
    - Ducks
    - Flames
    - Golden Knights
    - Jets
    - Kings
    - Kraken
    - Oilers
    - Predators
    - Sharks
    - Stars
    - Wild
- �quipe Mineure
  - Eastern Conference
    - Americans
    - Bears
    - Bruins
    - Checkers
    - Comets
    - Crunch
    - Griffins
    - Islanders
    - Marlies
    - Monsters
    - Penguins
    - Phantoms
    - Rocket
    - Senators
    - Wolf Pack
    - Wolves
  - Western Conference
    - Admirals
    - Barracuda
    - Canucks
    - Condors
    - Eagles
    - Firebirds
    - Gulls
    - IceHogs
    - Moose
    - Reign
    - Roadrunners
    - Silver Knights
    - Stars
    - Thunderbirds
    - Wild
    - Wranglers
Ligue Pro
Ligue Mineure
Ligue
Historique
Recherche
Stats de la Saison
- Ligue Pro
- Ligue Mineure
Ancienne Pages
Aide

	Gulls
	GP: 5 \| W: 1 \| L: 4 GF: 14 \| GA: 27 \| PP%: 25.00% \| PK%: 75.00% DG: Carter Chen \| Morale : 50 \| Moyenne d'�quipe : 64

La r�solution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cach�es pour garder la page lisible.

Ducks
Formation
Points
Informations Joueurs
Lignes
Statistiques d'�quipe
Calendrier
Finance
Client Web pour Lignes


	Firebirds 6-5-0, 12pts	3	FINAL	4	Gulls 1-4-0, 2pts

Team Stats
L2	Streak	L1
4-2-0	Home Record	1-1-0
2-3-0	Away Record	0-3-0
5-4-1	Last 10 Games	1-4-0
4.27		2.80
3.55		5.40
21.43%		25.00%
72.73%		75.00%

Gulls
1-4-0, 2pts

FINAL

Firebirds
6-5-0, 12pts

Team Stats
L1	Streak	L2
1-1-0	Home Record	4-2-0
0-3-0	Away Record	2-3-0
1-4-0	Last 10 Games	5-4-1
2.80		4.27
5.40		3.55
25.00%		21.43%
75.00%		72.73%


	Buts Philip Tomasino 4			Passes Philip Tomasino 4

	Points Philip Tomasino 8			Plus/Moins Jake Bean 1

	Victoires Isaac Poulter 1			Pourcentage d'Arr�ts Isaac Poulter 0.842

Statistiques d'�quipe
14 2.80 GFG	Tirs Pour 171 34.20 Avg	25.0% 2 GF	34.9%
Buts Contre 27 5.40 GAA	Tirs Contre 171 34.20 Avg	75.0% 2 GA	34.9%


	Directeur g�n�ral	Carter Chen
		Pacific Division
		Western Conference




	Capacit� de l'Ar�na	5,000
	Assistance	5,000
		5,000

		23
		18
		41 / 55
	�spoirs	35

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	�ge	Contrat	Salaire Moyen
1	Philip Tomasino (R)	0		X	X		100.00	70	51	97	79	84	62	55	66	41	74	73	55	69	69	69	0	50	78	0	21	2	925,000$
2	Ryan Reaves	0			X		100.00	92	53	93	71	82	42	88	56	40	68	69	69	63	63	63	0	50	75	0	36	1	1,350,000$
3	Nils Hoglander	0		X	X		100.00	71	52	96	74	84	54	55	61	40	70	71	55	66	66	66	0	50	74	0	22	1	925,000$
4	Jansen Harkins	0		X	X		100.00	71	53	94	71	83	45	55	59	41	67	70	55	65	65	65	0	50	72	0	26	2	1,439,820$
5	Simon Ryfors	0	X	X	X		100.00	52	66	83	56	55	85	98	43	65	60	64	47	54	25	40	0	50	63	0	25	3	787,500$
6	Daniel Torgersson (R)	0		X			100.00	51	65	84	52	53	81	94	38	36	57	64	37	51	25	40	0	50	60	0	21	2	867,500$
7	Karl Henriksson (R)	0	X				100.00	52	65	84	52	52	82	95	38	65	57	64	39	51	25	40	0	50	60	0	22	1	870,000$
8	Michal Teply (R)	0		X			100.00	51	60	84	54	54	71	82	40	36	58	64	38	52	25	40	0	50	60	0	22	2	925,000$
9	Connor Bunnaman	0	X	X			100.00	53	57	82	53	53	62	72	40	65	57	64	42	52	25	40	0	50	59	0	25	1	772,500$
10	Alex Beaucage (R)	0			X		100.00	54	50	81	53	54	58	54	40	36	58	64	42	52	25	40	0	50	59	0	21	2	878,333$
11	Henri Nikkanen (R)	0	X				100.00	52	63	83	52	52	78	90	38	65	57	63	38	51	25	40	0	50	59	0	22	2	859,167$
12	Joona Luoto (R)	0		X	X		100.00	52	53	84	54	56	58	61	41	36	58	65	43	53	25	40	0	50	59	0	25	1	750,000$
13	Jake Bean	0				X	100.00	69	52	94	69	80	64	55	66	40	73	69	57	68	68	68	0	50	76	0	25	3	2,216,666$
14	Samuel Bolduc (R)	0				X	100.00	74	51	98	66	79	53	55	63	40	66	69	55	66	66	66	0	50	73	0	22	1	925,000$
15	Nick DeSimone	0				X	100.00	53	64	83	55	54	80	93	42	36	61	63	48	53	25	40	0	50	63	0	28	2	861,625$
16	William Trudeau (R)	0				X	100.00	54	60	81	54	54	71	82	40	36	59	64	43	52	25	40	0	50	61	0	20	2	859,167$
17	Benjamin Tardif (R)	0				X	100.00	52	38	83	53	56	58	45	39	36	59	63	44	51	25	40	0	50	59	0	23	1	750,000$
18	Jason Demers (R)	0				X	100.00	56	59	78	53	53	67	77	38	36	59	63	38	51	25	40	0	50	59	0	35	1	750,000$
Ray�
1	Aleksandr Kisakov (R)	0	X				100.00	53	54	83	51	52	58	65	37	65	56	64	36	50	25	40	0	50	56	0	20	3	925,000$
2	Corson Ceulemans (R)	0				X	100.00	52	37	83	51	55	58	45	37	36	56	63	34	50	25	40	0	50	56	0	20	1	750,000$
3	Danila Zhuravlyov (R)	0				X	100.00	52	37	83	51	53	58	45	36	36	56	63	32	49	25	40	0	50	55	0	23	1	750,000$

	MOYENNE D'�QUIPE						100.00	59	54	86	58	62	64	70	46	44	61	66	45	56	37	47	0	50	64

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	�ge	Contrat	Salaire Moyen
1	Isaac Poulter	100.00	71	65	53	71	73	60	72	65	64	72	69	25	55	0	50	69	0	21	1	750,000$
2	Jack LaFontaine (R)	100.00	75	65	53	60	76	60	59	55	60	76	62	25	55	0	50	65	0	25	3	956,454$
Ray�

	MOYENNE D'�QUIPE	100.00	73	65	53	66	75	60	66	60	62	74	66	25	55	0	50	67

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	�ge	Contrat	Salaire

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'�quipe	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	FO%	FOT	GA	TA	P/20	FW	FT	S1	S2	S3
1	Philip Tomasino	Gulls (ANA)	LW/RW	5	4	4	8	-11	0	0	7	5	17	5	15	23.53%	1	108	21.70	1	1	2	4	6	0	0	0	0	5	0	21.70	10	20	2	1.47	0	0	0	0	1
2	Samuel Bolduc	Gulls (ANA)	D	5	3	4	7	-3	0	0	15	9	20	13	9	15.00%	5	120	24.11	0	0	0	2	6	0	1	1	0	8	1	0.00%	0	8	8	1.16	0	0	0	2	0
3	Jake Bean	Gulls (ANA)	D	5	4	2	6	1	2	0	7	8	29	14	5	13.79%	8	83	16.68	0	0	0	2	6	0	0	0	0	0	0	0.00%	0	4	8	1.44	0	0	1	0	1
4	Jansen Harkins	Gulls (ANA)	LW/RW	5	2	4	6	-10	0	0	8	11	36	5	15	5.56%	6	105	21.18	1	1	2	6	6	0	0	0	0	5	0	21.18	4	10	3	1.13	0	0	0	0	0
5	Simon Ryfors	Gulls (ANA)	C/LW/RW	5	0	3	3	-4	2	0	1	7	2	3	1	0.00%	0	81	16.39	0	1	1	0	6	0	0	0	1	6	0	16.39	78	0	1	0.73	0	0	0	0	0
6	Henri Nikkanen	Gulls (ANA)	C	5	0	2	2	-4	0	0	3	2	3	0	3	0.00%	1	42	8.40	0	0	0	0	0	0	0	0	0	0	0	8.40	33	0	0	0.95	0	0	0	0	0
7	Daniel Torgersson	Gulls (ANA)	LW	5	1	0	1	-3	0	0	5	6	7	2	1	14.29%	2	101	20.35	0	0	0	0	7	1	0	1	1	7	0	20.35	2	3	1	0.20	0	0	0	0	0
8	Joona Luoto	Gulls (ANA)	LW/RW	5	0	1	1	-1	2	0	9	2	11	5	9	0.00%	2	85	17.13	0	0	0	0	0	0	0	0	0	0	0	17.13	1	9	0	0.23	0	0	0	0	0
9	Nick DeSimone	Gulls (ANA)	D	5	0	1	1	-11	6	0	8	9	6	1	5	0.00%	8	123	24.61	0	0	0	0	7	0	0	0	0	3	0	0.00%	0	3	9	0.16	0	0	0	0	0
10	Karl Henriksson	Gulls (ANA)	C	5	0	1	1	-5	7	5	11	10	7	1	9	0.00%	2	92	18.51	0	0	0	2	7	0	0	0	0	0	0	18.51	55	4	1	0.22	1	0	0	0	0
11	Michal Teply	Gulls (ANA)	LW	5	0	1	1	1	7	5	6	2	7	1	7	0.00%	2	83	16.71	0	0	0	0	0	0	0	0	0	0	0	0.00%	2	3	4	0.24	0	1	0	0	0
12	Benjamin Tardif	Gulls (ANA)	D	5	0	0	0	-3	0	0	2	8	3	2	1	0.00%	7	91	18.36	0	0	0	0	0	0	0	0	0	7	0	0.00%	0	1	4	0.00%	0	0	0	0	0
13	Connor Bunnaman	Gulls (ANA)	C/LW	5	0	0	0	0	0	0	5	7	9	3	2	0.00%	0	87	17.46	0	0	0	0	0	0	0	0	0	0	0	17.46	49	4	2	0.00%	0	0	0	0	0
14	Alex Beaucage	Gulls (ANA)	RW	5	0	0	0	-3	0	0	9	12	10	1	8	0.00%	0	94	18.91	0	0	0	0	7	0	0	0	0	0	0	18.91	4	3	1	0.00%	0	0	0	0	0
15	Jason Demers	Gulls (ANA)	D	5	0	0	0	-4	0	0	4	3	2	1	3	0.00%	5	84	16.84	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	4	4	0.00%	0	0	0	0	0
16	Ryan Reaves	Gulls (ANA)	RW	5	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0.21	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0	0.00%	0	0	0	0	0
17	Nils Hoglander	Gulls (ANA)	LW/RW	5	0	0	0	0	0	0	0	0	0	0	1	0.00%	0	1	0.28	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00%	0	0	0	0	0
18	William Trudeau	Gulls (ANA)	D	5	0	0	0	-6	0	0	4	8	2	1	3	0.00%	4	97	19.48	0	0	0	0	7	0	0	0	0	6	0	0.00%	0	1	5	0.00%	0	0	0	0	0
Stats d'�quipe Total ou en Moyenne				90	14	23	37	-66	26	10	104	109	171	58	97	8.19%	53	1486	16.52	2	3	5	16	70	1	1	2	2	53	1	51.26%	238	78	53	0.50	1	1	1	2	2

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'�quipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Isaac Poulter	Gulls (ANA)	5	1	4	0	0.842	5.40	300	0	0	27	171	108	0	0	0.00%	0	5	0	0	0	0
Stats d'�quipe Total ou en Moyenne			5	1	4	0	0.842	5.40	300	0	0	27	171	108	0	0	0.000	0	5	0	0	0	0

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'�quipe	POS	�ge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-�change	Disponible pour �change	Ballotage Forc�	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Ann�e 2	Salaire Ann�e 3	Link
Aleksandr Kisakov	Gulls (ANA)	C	20	2002-11-01	Yes	150 Lbs	5 ft10	No	No	No	3	Pro & Farm	925,000$	308,333$	925,000$	308,333$	0$	0$	No	925,000$	925,000$	Lien NHL
Alex Beaucage	Gulls (ANA)	RW	21	2001-07-25	Yes	192 Lbs	6 ft1	No	No	No	2	Pro & Farm	878,333$	292,778$	878,333$	292,778$	0$	0$	No	878,333$		Lien / Lien NHL
Benjamin Tardif	Gulls (ANA)	D	23	2000-01-24	Yes	192 Lbs	5 ft10	No	No	No	1	Pro & Farm	750,000$	250,000$	750,000$	250,000$	0$	0$	No			Lien / Lien NHL
Connor Bunnaman	Gulls (ANA)	C/LW	25	1998-04-16	No	207 Lbs	6 ft1	No	No	No	1	Pro & Farm	772,500$	257,500$	772,500$	257,500$	0$	0$	No			Lien / Lien NHL
Corson Ceulemans	Gulls (ANA)	D	20	2003-05-05	Yes	198 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	250,000$	750,000$	250,000$	0$	0$	No			Lien / Lien NHL
Daniel Torgersson	Gulls (ANA)	LW	21	2002-01-26	Yes	220 Lbs	6 ft3	No	No	No	2	Pro & Farm	867,500$	289,167$	867,500$	289,167$	0$	0$	No	867,500$		Lien / Lien NHL
Danila Zhuravlyov	Gulls (ANA)	D	23	2000-04-08	Yes	163 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	250,000$	750,000$	250,000$	0$	0$	No			Lien / Lien NHL
Henri Nikkanen	Gulls (ANA)	C	22	2001-04-28	Yes	215 Lbs	6 ft4	No	No	No	2	Pro & Farm	859,167$	286,389$	859,167$	286,389$	0$	0$	No	859,167$		Lien / Lien NHL
Isaac Poulter	Gulls (ANA)	G	21	2001-09-12	No	174 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	250,000$	750,000$	250,000$	0$	0$	No			Lien / Lien NHL
Jack LaFontaine	Gulls (ANA)	G	25	1998-01-06	Yes	202 Lbs	6 ft2	No	No	No	3	Pro & Farm	956,454$	318,818$	956,454$	318,818$	0$	0$	No	956,454$	956,454$	Lien / Lien NHL
Jake Bean (Contrat � 1 Volet)	Gulls (ANA)	D	25	1998-06-09	No	196 Lbs	6 ft1	No	No	No	3	Pro & Farm	2,216,666$	738,889$	2,216,666$	738,889$	1,091,666$	363,889$	No	2,216,666$	2,216,666$	Lien / Lien NHL
Jansen Harkins	Gulls (ANA)	LW/RW	26	1997-05-23	No	195 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,439,820$	479,940$	1,439,820$	479,940$	0$	0$	No	1,439,820$		Lien / Lien NHL
Jason Demers	Gulls (ANA)	D	35	1988-06-09	Yes	203 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	250,000$	750,000$	250,000$	0$	0$	No			Lien / Lien NHL
Joona Luoto	Gulls (ANA)	LW/RW	25	1997-09-26	Yes	192 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	250,000$	750,000$	250,000$	0$	0$	No			Lien / Lien NHL
Karl Henriksson	Gulls (ANA)	C	22	2001-02-05	Yes	176 Lbs	5 ft9	No	No	No	1	Pro & Farm	870,000$	290,000$	870,000$	290,000$	0$	0$	No			Lien / Lien NHL
Michal Teply	Gulls (ANA)	LW	22	2001-05-27	Yes	187 Lbs	6 ft3	No	No	No	2	Farm Only	925,000$	308,333$	925,000$	308,333$	0$	0$	No	925,000$		Lien / Lien NHL
Nick DeSimone	Gulls (ANA)	D	28	1994-11-21	No	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	861,625$	287,208$	861,625$	287,208$	0$	0$	No	861,625$		Lien / Lien NHL
Nils Hoglander	Gulls (ANA)	LW/RW	22	2000-12-20	No	185 Lbs	5 ft9	No	No	No	1	Pro & Farm	925,000$	308,333$	925,000$	308,333$	0$	0$	No			Lien / Lien NHL
Philip Tomasino	Gulls (ANA)	LW/RW	21	2001-07-28	Yes	198 Lbs	6 ft1	No	No	No	2	Farm Only	925,000$	308,333$	925,000$	308,333$	0$	0$	No	925,000$		Lien / Lien NHL
Ryan Reaves (Contrat � 1 Volet)	Gulls (ANA)	RW	36	1987-01-20	No	225 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,350,000$	450,000$	1,350,000$	450,000$	225,000$	75,000$	No			Lien / Lien NHL
Samuel Bolduc	Gulls (ANA)	D	22	2000-12-09	Yes	220 Lbs	6 ft4	No	No	No	1	Pro & Farm	925,000$	308,333$	925,000$	308,333$	0$	0$	No			Lien / Lien NHL
Simon Ryfors	Gulls (ANA)	C/LW/RW	25	1997-08-16	No	181 Lbs	5 ft10	No	No	No	3	Pro & Farm	787,500$	262,500$	787,500$	262,500$	0$	0$	No	787,500$	787,500$	Lien / Lien NHL
William Trudeau	Gulls (ANA)	D	20	2002-10-11	Yes	190 Lbs	6 ft0	No	No	No	2	Pro & Farm	859,167$	286,389$	859,167$	286,389$	0$	0$	No	859,167$		Lien / Lien NHL

Joueurs Total	�ge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Ann�e
23	23.91	193 Lbs	6 ft1	1.70	949,727$

Attaque � 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Philip Tomasino	Simon Ryfors	Jansen Harkins	30	1	2	2
2	Daniel Torgersson	Karl Henriksson	Alex Beaucage	30	1	2	2
3	Michal Teply	Connor Bunnaman	Joona Luoto	20	1	2	2
4	Philip Tomasino	Henri Nikkanen	Jansen Harkins	20	1	2	2

D�fense � 5 contre 5
Ligne #	D�fense	D�fense	% Temps	PHY	DF	OF
1	Jake Bean	Samuel Bolduc	30	1	2	2
2	Nick DeSimone	William Trudeau	30	1	2	2
3	Benjamin Tardif	Jason Demers	20	1	2	2
4	Samuel Bolduc	Nick DeSimone	20	1	2	2

Attaque en Avantage Num�rique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Philip Tomasino	Simon Ryfors	Jansen Harkins	50	1	2	2
2	Daniel Torgersson	Karl Henriksson	Alex Beaucage	50	1	2	2

D�fense en Avantage Num�rique
Ligne #	D�fense	D�fense	% Temps	PHY	DF	OF
1	Jake Bean	Samuel Bolduc	50	1	2	2
2	Nick DeSimone	William Trudeau	50	1	2	2

Attaque � 4 en D�savantage Num�rique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Philip Tomasino	Jansen Harkins	50	1	2	2
2	Simon Ryfors	Daniel Torgersson	50	1	2	2

D�fense � 4 en D�savantage Num�rique
Ligne #	D�fense	D�fense	% Temps	PHY	DF	OF
1	Benjamin Tardif	Samuel Bolduc	50	1	2	2
2	Nick DeSimone	William Trudeau	50	1	2	2

3 joueurs en D�savantage Num�rique
Ligne #	Ailier	% Temps	PHY	DF	OF	D�fense	D�fense	% Temps	PHY	DF	OF
1	Philip Tomasino	50	1	2	2	Jake Bean	Samuel Bolduc	50	1	2	2
2	Jansen Harkins	50	1	2	2	Nick DeSimone	William Trudeau	50	1	2	2

Attaque � 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Philip Tomasino	Jansen Harkins	50	1	2	2
2	Simon Ryfors	Daniel Torgersson	50	1	2	2

D�fense � 4 contre 4
Ligne #	D�fense	D�fense	% Temps	PHY	DF	OF
1	Jason Demers	Samuel Bolduc	50	1	2	2
2	Nick DeSimone	William Trudeau	50	1	2	2

Attaque Derni�re Minute
Ailier Gauche	Centre	Ailier Droit	D�fense	D�fense
Philip Tomasino	Simon Ryfors	Jansen Harkins	Jake Bean	Samuel Bolduc

D�fense Derni�re Minute
Ailier Gauche	Centre	Ailier Droit	D�fense	D�fense
Philip Tomasino	Simon Ryfors	Jansen Harkins	Jake Bean	Samuel Bolduc

Attaquants Suppl�mentaires
Normal	Avantage Num�rique	D�savantage Num�rique
Philip Tomasino, Michal Teply, Connor Bunnaman	Jansen Harkins, Michal Teply	Connor Bunnaman

D�fenseurs Suppl�mentaires
Normal	Avantage Num�rique	D�savantage Num�rique
Benjamin Tardif, Jason Demers, Samuel Bolduc	Benjamin Tardif	Jason Demers, Samuel Bolduc

Tirs de P�nalit�
Philip Tomasino, Jansen Harkins, Simon Ryfors, Daniel Torgersson, Michal Teply

Gardien
#1 : Isaac Poulter, #2 : Jack LaFontaine

Lignes d'Attaque Perso. en Prol.
Philip Tomasino, Jansen Harkins, Simon Ryfors, Daniel Torgersson, Michal Teply, Karl Henriksson, Karl Henriksson, Connor Bunnaman, Henri Nikkanen, Alex Beaucage, Joona Luoto

Lignes de D�fense Perso. en Prol.
Jason Demers, Samuel Bolduc, Nick DeSimone, William Trudeau, Benjamin Tardif

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

	Ligue												Domicile											Visiteur
#	VS �quipe	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	Firebirds	5	1	4	0	0	0	0	0	14	27	-13	2	1	1	0	0	0	0	0	6	7	-1	3	0	3	0	0	0	0	0	8	20	-12	2	0.200	14	23	37	0	0	10	2	2	0	171	86	34	51	0	171	53	26	104	8	2	25.00%	8	2	75.00%	1	37	83	44.58%	42	83	50.60%	43	72	59.72%	103	61	109	41	86	42
	Total	5	1	4	0	0	0	0	0	14	27	-13	2	1	1	0	0	0	0	0	6	7	-1	3	0	3	0	0	0	0	0	8	20	-12	2	0.200	14	23	37	0	0	10	2	2	0	171	86	34	51	0	171	53	26	104	8	2	25.00%	8	2	75.00%	1	37	83	44.58%	42	83	50.60%	43	72	59.72%	103	61	109	41	86	42
	_Since Last GM Reset	5	1	4	0	0	0	0	0	14	27	-13	2	1	1	0	0	0	0	0	6	7	-1	3	0	3	0	0	0	0	0	8	20	-12	2	0.200	14	23	37	0	0	10	2	2	0	171	86	34	51	0	171	53	26	104	8	2	25.00%	8	2	75.00%	1	37	83	44.58%	42	83	50.60%	43	72	59.72%	103	61	109	41	86	42
	_Vs Conference	5	1	4	0	0	0	0	0	14	27	-13	2	1	1	0	0	0	0	0	6	7	-1	3	0	3	0	0	0	0	0	8	20	-12	2	0.200	14	23	37	0	0	10	2	2	0	171	86	34	51	0	171	53	26	104	8	2	25.00%	8	2	75.00%	1	37	83	44.58%	42	83	50.60%	43	72	59.72%	103	61	109	41	86	42
	_Vs Division	5	1	4	0	0	0	0	0	14	27	-13	2	1	1	0	0	0	0	0	6	7	-1	3	0	3	0	0	0	0	0	8	20	-12	2	0.200	14	23	37	0	0	10	2	2	0	171	86	34	51	0	171	53	26	104	8	2	25.00%	8	2	75.00%	1	37	83	44.58%	42	83	50.60%	43	72	59.72%	103	61	109	41	86	42

			Total Pour les Joueurs
Matchs Jou�s	Points	S�quence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqu�s	Minutes de P�nalit�	Mises en �chec	Buts en Filet D�sert	Blanchissage
5	2	L1	14	23	37	171	171	53	26	104	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	4	0	0	0	0	14	27

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	6	7

Matchs �xt�rieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	8	20

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	4	0	0	0	0

Tentatives en Avantage Num�rique	Buts en Avantage Num�rique	% en Avantage Num�rique	Tentatives en D�savantage Num�rique	Buts Contre en D�savantage Num�rique	% en D�savantage Num�rique	Buts Pour en D�savantage Num�rique
8	2	25.00%	8	2	75.00%	1

Tirs en 1e P�riode	Tirs en 2e P�riode	Tirs en 3e P�riode	Tirs en 4e P�riode	Buts en 1e P�riode	Buts en 2e P�riode	Buts en 3e P�riode	Buts en 4e P�riode
86	34	51	0	10	2	2	0

Mises en Jeu
Gagn�es en Zone Offensive	Total en Zone Offensive	% Gagn�es en Zone Offensive	Gagn�es en Zone D�fensive	Total en Zone D�fensive	% Gagn�es en Zone D�fensive	Gagn�es en Zone Neutre	Total en Zone Neutre	% Gagn�es en Zone Neutre
37	83	44.58%	42	83	50.60%	43	72	59.72%

Temps Avec la Rondelle
En Zone Offensive	Contr�le en Zone Offensive	En Zone D�fensive	Contr�le en Zone D�fensive	En Zone Neutre	Contr�le en Zone Neutre
103	61	109	41	86	42

Derniers Match Jou�s 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	�quipe Visiteuse	Score	�quipe Locale	Score	ST	Lien
2 - 2024-04-19	8	Gulls	2	Firebirds	5	AL	Sommaire du Match
4 - 2024-04-21	16	Gulls	1	Firebirds	8	AL	Sommaire du Match
6 - 2024-04-23	24	Firebirds	4	Gulls	2	BL	Sommaire du Match
8 - 2024-04-25	32	Firebirds	3	Gulls	4	BW	Sommaire du Match
10 - 2024-04-27	40	Gulls	5	Firebirds	7	AL	Sommaire du Match

Capacit� de l'Ar�na - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacit� de l'Ar�na	3500	1500
Prix des Billets	50	25
Assistance	7,000	3,000
Assistance PCT	100.00%	100.00%

Revenus
Matchs � domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels � ce Jour	Capacit� de l'Ar�na	Popularit� de l'�quipe
39	5000 - 100.00%	108,375$	216,750$	5000	100

D�penses
D�penses Annuelles � Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	18,277,066$	18,277,066$	0$

Cap Salarial Par Jour	Cap salarial � ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0	0

�stimation
Revenus de la Saison �stim�s	Jours Restants de la Saison	D�penses Par Jour	D�penses de la Saison �stim�es
0$	14	0$	0$

Gulls

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	Jansen Harkins	246	150	239	389	-30	30	325	390	827	18.14%	172	4934	20.06	21	35	56	93	9	5	14	17	22	4	48.13%	9	1.58	0	4
2	Philip Tomasino	246	99	183	282	-101	93	401	417	821	12.06%	162	5001	20.33	14	28	42	75	6	7	13	22	19	8	49.21%	3	1.13	1	5
3	Connor Bunnaman	246	86	149	235	-49	16	254	266	451	19.07%	80	4185	17.01	11	18	29	39	4	4	8	11	3	3	52.76%	8	1.12	0	0
4	Morgan Barron	164	93	127	220	-33	588	286	90	448	20.76%	25	2999	18.29	11	25	36	53	0	0	0	7	9	1	50.43%	6	1.47	0	2
5	Dylan Samberg	231	68	126	194	-69	453	335	424	540	12.59%	382	4899	21.21	9	14	23	72	0	6	6	6	10	4	0.00%	3	0.79	0	2

Gulls

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	Brian Elliott	161	108	45	8	0.922	2.81	9704	18	4	454	5806	3336	11	3	0.708	24
2	Gilles Senn	67	12	28	3	0.649	8.78	3104	0	2	454	1294	636	1	1	0.000	0
3	Alex Nedeljkovic	7	6	1	0	0.912	1.86	420	0	4	13	148	82	1	0	0.000	0
4	Adam Huska	48	3	27	0	0.517	14.18	1202	0	1	284	588	222	0	0	0.000	0
5	Isaac Poulter	2	0	2	0	0.820	8.00	120	0	0	16	89	54	1	0	0.000	0

Gulls

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Ann�e	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 R�guli�re
2021	82	21	57	0	1	3	0	0	387	770	-383	41	11	28	0	0	2	0	0	201	382	-181	41	10	29	0	1	1	0	0	186	388	-202	47	387	636	1023	1	7	0	157	121	108	2003	0	590	699	713	2110	844	2060	1137	221	57	25.79%	223	91	59.19%	12	615	1208	50.91%	517	1049	49.29%	878	1776	49.44%	1740	1135	1951	601	1232	612
2022	82	50	20	0	6	3	1	2	323	235	88	41	27	7	0	5	0	1	1	165	103	62	41	23	13	0	1	3	0	1	158	132	26	119	323	572	895	2	2	128	100	88	8	2898	997	970	907	36	2859	1055	428	1679	158	38	24.05%	191	39	79.58%	10	712	1431	49.76%	759	1652	45.94%	509	1060	48.02%	1797	1145	1845	674	1308	642
2023	82	47	28	0	4	1	0	2	295	247	48	41	30	8	0	1	0	0	2	165	104	61	41	17	20	0	3	1	0	0	130	143	-13	105	295	492	787	1	2	117	97	77	5	2851	1075	890	873	24	3081	1209	662	1579	125	33	26.40%	126	26	79.37%	6	771	1537	50.16%	865	1691	51.15%	556	1096	50.73%	1693	1037	1899	673	1347	667
Total Saison R�guli�re	246	118	105	0	11	7	1	4	1005	1252	-247	123	68	43	0	6	2	1	3	531	589	-58	123	50	62	0	5	5	0	1	474	663	-189	271	1005	1700	2705	4	11	245	354	286	121	7752	2072	2450	2479	773	8050	3108	3150	4395	504	128	25.40%	540	156	71.11%	28	2098	4176	50.24%	2141	4392	48.75%	1943	3932	49.42%	5231	3319	5695	1949	3889	1922
S�ries
2022	19	9	10	0	0	0	0	0	73	62	11	10	6	4	0	0	0	0	0	44	33	11	9	3	6	0	0	0	0	0	29	29	0	18	73	130	203	0	1	23	27	22	1	708	222	237	242	7	664	221	96	390	37	13	35.14%	48	10	79.17%	1	151	335	45.07%	186	368	50.54%	141	273	51.65%	423	267	433	158	308	151
2023	5	1	4	0	0	0	0	0	14	27	-13	2	1	1	0	0	0	0	0	6	7	-1	3	0	3	0	0	0	0	0	8	20	-12	2	14	23	37	0	0	10	2	2	0	171	86	34	51	0	171	53	26	104	8	2	25.00%	8	2	75.00%	1	37	83	44.58%	42	83	50.60%	43	72	59.72%	103	61	109	41	86	42
Total S�ries	24	10	14	0	0	0	0	0	87	89	-2	12	7	5	0	0	0	0	0	50	40	10	12	3	9	0	0	0	0	0	37	49	-12	20	87	153	240	0	1	33	29	24	1	879	308	271	293	7	835	274	122	494	45	15	33.33%	56	12	78.57%	2	188	418	44.98%	228	451	50.55%	184	345	53.33%	527	329	543	200	395	194

Gulls

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	Philip Tomasino	24	11	19	30	-1	2	35	52	79	13.92%	16	461	19.21	1	5	6	12	1	1	4	1	0	49.53%	1.30
2	Jake Bean	24	9	14	23	9	14	28	34	84	10.71%	36	563	23.46	2	2	4	6	0	0	2	1	0	0.00%	0.82
3	Jansen Harkins	24	5	13	18	-15	2	27	32	78	6.41%	21	408	17.03	1	6	7	11	0	0	0	0	0	52.94%	0.88
4	Matt Donovan	19	8	9	17	8	14	23	46	48	16.67%	35	477	25.13	3	1	4	8	0	0	1	0	1	0.00%	0.71
5	Nick DeSimone	24	11	5	16	-11	10	20	39	50	22.00%	37	525	21.89	3	1	4	8	0	0	0	2	0	0.00%	0.61

Gulls

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	Brian Elliott	19	9	8	2	0.907	3.19	1165	0	1	62	664	391	3	0	0.000	0
2	Isaac Poulter	5	1	4	0	0.842	5.40	300	0	0	27	171	108	0	0	0.000	0

Back to the Top