Stanley Cup Winners Hockey League

ANAHEIM Ducks
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Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
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Stats d'équipe en Carrière
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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
1	Danton Heinen	36	X				100.00	63	35	74	70	75	81	90	69	52	72	66	61	68	56	52	58	99	70	0
2	Lance Bouma	0	X	X	X		100.00	81	44	75	68	80	72	90	62	30	63	62	66	64	64	59	53	99	69	0
3	Sonny Milano	22		X			100.00	52	35	69	67	73	55	54	67	50	63	63	52	64	53	51	83	99	60	0
4	Ville Pokka	0				X	100.00	62	42	72	50	73	55	86	58	30	47	37	60	54	50	50	75	99	56	0
5	Chris Bigras	0				X	100.00	51	89	64	67	75	50	50	67	30	47	42	52	52	52	51	75	99	55	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	62	49	71	64	75	63	74	65	38	58	54	58	60	55	53	69	99	62

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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
1	Tristan Jarry	100.00	77	71	93	79	76	75	77	76	75	76	71	52	65	71	98	67	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	77	71	93	79	76	75	77	76	75	76	71	52	65	71	98	67

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Anderson	69	70	69	70	80	80	50	CAN	62	2	170,400$

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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

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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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Tristan Jarry	SAN DIEGO Gulls (ANH)	2	0	2	0	0.958	3.50	120	0	0	7	167	0	0	0	0.000	0	2	0	2	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'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Link
Chris Bigras	SAN DIEGO Gulls (ANH)	D	24	1995-02-22	No	86 Kg	185 CM	No	No	No	5	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	Lien
Danton Heinen	SAN DIEGO Gulls (ANH)	C	24	1995-07-05	No	85 Kg	185 CM	No	No	No	1	Pro & Farm	960,000$	942,702$	960,000$	942,702$	0$	0$	No					Lien
Lance Bouma	SAN DIEGO Gulls (ANH)	C/LW/RW	29	1990-03-25	No	95 Kg	188 CM	No	No	No	1	Pro & Farm	1,000,000$	981,981$	1,000,000$	981,981$	0$	0$	No					Lien
Sonny Milano	SAN DIEGO Gulls (ANH)	LW	23	1996-05-12	No	89 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No					Lien
Tristan Jarry	SAN DIEGO Gulls (ANH)	G	24	1995-04-29	No	88 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$	750,000$			Lien
Ville Pokka	SAN DIEGO Gulls (ANH)	D	25	1994-03-06	No	94 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No					Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
6	24.83	90 Kg	185 CM	2.00	826,667$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				31	1	2	2
2				26	1	2	2
3				23	1	2	2
4				20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			31	1	2	2
2			26	1	2	2
3			23	1	2	2
4			20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				55	1	2	2
2				45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		55	1	2	2			55	1	2	2
2		45	1	2	2			45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,	,

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
, , , ,

Gardien
#1 : Tristan Jarry, #2 :

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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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

	Ligue												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	LAVAL Rockets	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	0	3	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	4	7	6	1	0	94	17	0	5	1	0	0.00%	0	0	0.00%	0	2	8	25.00%	16	148	10.81%	2	18	11.11%	3	2	105	9	10	1
2	ROCKFORD IceHogs	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	10	7	6	1	0	73	15	0	4	1	0	0.00%	0	0	0.00%	0	2	8	25.00%	16	148	10.81%	2	18	11.11%	3	2	105	9	10	1
	Total	2	0	2	0	0	0	0	0	0	7	-7	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	0	0	0	0	0	0	0	0	0	14	7	6	1	0	167	32	0	9	2	0	0.00%	0	0	0.00%	0	2	8	25.00%	16	148	10.81%	2	18	11.11%	3	2	105	9	10	1
	_Since Last GM Reset	2	0	2	0	0	0	0	0	0	7	-7	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	0	0	0	0	0	0	0	0	0	14	7	6	1	0	167	32	0	9	2	0	0.00%	0	0	0.00%	0	2	8	25.00%	16	148	10.81%	2	18	11.11%	3	2	105	9	10	1
	_Vs Conference	2	0	2	0	0	0	0	0	0	7	-7	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	0	0	0	0	0	0	0	0	0	14	7	6	1	0	167	32	0	9	2	0	0.00%	0	0	0.00%	0	2	8	25.00%	16	148	10.81%	2	18	11.11%	3	2	105	9	10	1
	_Vs Division	1	0	2	0	0	0	0	0	0	4	-4	0	0	1	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	10	7	6	1	0	73	15	0	4	1	0	0.00%	0	0	0.00%	0	2	8	25.00%	16	148	10.81%	2	18	11.11%	3	2	105	9	10	1

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
2	0	L2	0	0	0	14	167	32	0	9	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	0	7

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	1	0	0	0	0	0	3

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	1	0	0	0	0	0	4

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	2	0	0	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
2	0	0.00%	0	0	0.00%	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
7	6	1	0	0	0	0	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
2	8	25.00%	16	148	10.81%	2	18	11.11%

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
3	2	105	9	10	1

Derniers Match 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	Lien
1 - 2020-01-15	4	LAVAL Rockets	3	SAN DIEGO Gulls	0	L	Sommaire du Match
2 - 2020-01-16	19	SAN DIEGO Gulls	0	ROCKFORD IceHogs	4	L	Sommaire du Match
3 - 2020-01-17	31	SAN DIEGO Gulls	-	BROOKLYN Wolfpack	-
4 - 2020-01-18	43	HERSEY Bears	-	SAN DIEGO Gulls	-
5 - 2020-01-19	62	SAN DIEGO Gulls	-	UTICA Comets	-
7 - 2020-01-21	68	SAN DIEGO Gulls	-	VICTORIAVILLE Tigres	-
9 - 2020-01-23	79	PROVIDENCE Bruins	-	SAN DIEGO Gulls	-
11 - 2020-01-25	97	SAN DIEGO Gulls	-	ROCKFORD IceHogs	-
13 - 2020-01-27	105	TUSCON Roadrunners	-	SAN DIEGO Gulls	-
15 - 2020-01-29	123	UTICA Comets	-	SAN DIEGO Gulls	-
17 - 2020-01-31	133	MILWAUKEE Admirals	-	SAN DIEGO Gulls	-
20 - 2020-02-03	158	HERSEY Bears	-	SAN DIEGO Gulls	-
21 - 2020-02-04	166	SAN DIEGO Gulls	-	CHICAGO Wolves	-
23 - 2020-02-06	182	SAN DIEGO Gulls	-	Marlies de Toronto	-
24 - 2020-02-07	194	Marlies de Toronto	-	SAN DIEGO Gulls	-
26 - 2020-02-09	213	LAVAL Rockets	-	SAN DIEGO Gulls	-
27 - 2020-02-10	225	SAN DIEGO Gulls	-	LAVAL Rockets	-
28 - 2020-02-11	237	SAN DIEGO Gulls	-	CHICAGO Wolves	-
29 - 2020-02-12	244	COLORADO Eagles	-	SAN DIEGO Gulls	-
31 - 2020-02-14	264	SAN DIEGO Gulls	-	CORNWALL Aces	-
32 - 2020-02-15	272	ROCKFORD IceHogs	-	SAN DIEGO Gulls	-
33 - 2020-02-16	285	SAN DIEGO Gulls	-	Marlies de Toronto	-
34 - 2020-02-17	295	Manitoba Moose	-	SAN DIEGO Gulls	-
36 - 2020-02-19	316	STOCKTON Flames	-	SAN DIEGO Gulls	-
37 - 2020-02-20	332	SAN DIEGO Gulls	-	LEHIGH VALLEY Phantoms	-
38 - 2020-02-21	342	LEHIGH VALLEY Phantoms	-	SAN DIEGO Gulls	-
39 - 2020-02-22	351	SAN DIEGO Gulls	-	MILWAUKEE Admirals	-
41 - 2020-02-24	370	ROCKFORD IceHogs	-	SAN DIEGO Gulls	-
42 - 2020-02-25	382	SAN DIEGO Gulls	-	HOLLYWOOD Oscar	-
43 - 2020-02-26	392	UTICA Comets	-	SAN DIEGO Gulls	-
44 - 2020-02-27	400	SAN DIEGO Gulls	-	Manitoba Moose	-
45 - 2020-02-28	414	SAN DIEGO Gulls	-	LAVAL Rockets	-
46 - 2020-02-29	426	IOWA Wild	-	SAN DIEGO Gulls	-
47 - 2020-03-01	443	VICTORIAVILLE Tigres	-	SAN DIEGO Gulls	-
49 - 2020-03-03	454	SAN DIEGO Gulls	-	WILKIES-BARRIE Penguins	-
50 - 2020-03-04	460	SAN DIEGO Gulls	-	HERSEY Bears	-
52 - 2020-03-06	474	SAN DIEGO Gulls	-	BRIDGEPORT Sound Tigers	-
53 - 2020-03-07	487	PV Sharapovas	-	SAN DIEGO Gulls	-
54 - 2020-03-08	504	MONT-LAURIER Sommet	-	SAN DIEGO Gulls	-
56 - 2020-03-10	515	SAN DIEGO Gulls	-	COLORADO Eagles	-
57 - 2020-03-11	532	Binghampton Devils	-	SAN DIEGO Gulls	-
59 - 2020-03-13	548	LAVAL Rockets	-	SAN DIEGO Gulls	-
60 - 2020-03-14	551	SAN DIEGO Gulls	-	BRIDGEPORT Sound Tigers	-
61 - 2020-03-15	568	SAN DIEGO Gulls	-	UTICA Comets	-
62 - 2020-03-16	583	Syracruse Crunch	-	SAN DIEGO Gulls	-
63 - 2020-03-17	588	SAN DIEGO Gulls	-	COLORADO Eagles	-
64 - 2020-03-18	607	MILWAUKEE Admirals	-	SAN DIEGO Gulls	-
65 - 2020-03-19	616	SAN DIEGO Gulls	-	ROCKFORD IceHogs	-
67 - 2020-03-21	630	HOLLYWOOD Oscar	-	SAN DIEGO Gulls	-
68 - 2020-03-22	648	SAN DIEGO Gulls	-	MONT-LAURIER Sommet	-
69 - 2020-03-23	658	COLORADO Eagles	-	SAN DIEGO Gulls	-
70 - 2020-03-24	676	PROVIDENCE Bruins	-	SAN DIEGO Gulls	-
72 - 2020-03-26	686	SAN DIEGO Gulls	-	PROVIDENCE Bruins	-
73 - 2020-03-27	698	SAN DIEGO Gulls	-	STOCKTON Flames	-
74 - 2020-03-28	710	BELLEVILLE Senators	-	SAN DIEGO Gulls	-
75 - 2020-03-29	721	SAN DIEGO Gulls	-	IOWA Wild	-
76 - 2020-03-30	731	SAN DIEGO Gulls	-	PROVIDENCE Bruins	-
77 - 2020-03-31	744	BROOKLYN Wolfpack	-	SAN DIEGO Gulls	-
78 - 2020-04-01	759	SAN DIEGO Gulls	-	BROOKLYN Wolfpack	-
79 - 2020-04-02	773	CORNWALL Aces	-	SAN DIEGO Gulls	-
80 - 2020-04-03	785	SAN DIEGO Gulls	-	BROOKLYN Wolfpack	-
82 - 2020-04-05	799	BROOKLYN Wolfpack	-	SAN DIEGO Gulls	-
83 - 2020-04-06	816	SAN DIEGO Gulls	-	PV Sharapovas	-
85 - 2020-04-08	826	TUSCON Roadrunners	-	SAN DIEGO Gulls	-
86 - 2020-04-09	842	Marlies de Toronto	-	SAN DIEGO Gulls	-
87 - 2020-04-10	851	SAN DIEGO Gulls	-	BELLEVILLE Senators	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11	866	PROVIDENCE Bruins	-	SAN DIEGO Gulls	-
89 - 2020-04-12	878	SAN DIEGO Gulls	-	Binghampton Devils	-
91 - 2020-04-14	893	BRIDGEPORT Sound Tigers	-	SAN DIEGO Gulls	-
92 - 2020-04-15	906	SAN DIEGO Gulls	-	MILWAUKEE Admirals	-
93 - 2020-04-16	915	CORNWALL Aces	-	SAN DIEGO Gulls	-
94 - 2020-04-17	925	SAN DIEGO Gulls	-	Syracruse Crunch	-
95 - 2020-04-18	942	SAN DIEGO Gulls	-	HERSEY Bears	-
96 - 2020-04-19	950	HERSEY Bears	-	SAN DIEGO Gulls	-
98 - 2020-04-21	973	WILKIES-BARRIE Penguins	-	SAN DIEGO Gulls	-
100 - 2020-04-23	994	BRIDGEPORT Sound Tigers	-	SAN DIEGO Gulls	-
104 - 2020-04-27	1017	CHICAGO Wolves	-	SAN DIEGO Gulls	-
105 - 2020-04-28	1029	SAN DIEGO Gulls	-	VICTORIAVILLE Tigres	-
106 - 2020-04-29	1034	SAN DIEGO Gulls	-	TUSCON Roadrunners	-
108 - 2020-05-01	1046	CHICAGO Wolves	-	SAN DIEGO Gulls	-
109 - 2020-05-02	1055	SAN DIEGO Gulls	-	VICTORIAVILLE Tigres	-
110 - 2020-05-03	1064	SAN DIEGO Gulls	-	TUSCON Roadrunners	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
40	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
12,008$	496,000$	496,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	8,936$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	109	6,004$	654,436$

Afficher ou Masquer des Colonnes

	Ligue											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
33	2	0	2	0	0	0	0	0	0	7	-7	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	0	4	-4	0	0	0	0	0	0	0	0	0	0	14	7	6	1	0	167	32	0	9	2	0	0.00%	0	0	0.00%	0	2	8	25.00%	16	148	10.81%	2	18	11.11%	3	2	105	9	10	1
Total Saison Régulière	2	0	2	0	0	0	0	0	0	7	-7	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	0	4	-4	0	0	0	0	0	0	0	0	0	0	14	7	6	1	0	167	32	0	9	2	0	0.00%	0	0	0.00%	0	2	8	25.00%	16	148	10.81%	2	18	11.11%	3	2	105	9	10	1