Stanley Cup Winners Hockey League

OTTAWA Senators
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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	Colin White	0	X				100.00	59	35	76	73	71	85	84	72	82	76	68	62	70	54	51	82	99	70	0
2	Jordan Greenway	0		X			100.00	63	41	71	67	98	82	95	66	68	66	66	60	66	53	51	72	96	70	0
3	Michael Raffl	0		X			100.00	72	35	70	67	74	78	80	66	64	67	64	66	65	66	55	34	99	69	0
4	Andrew Mangiapane	0		X			100.00	63	35	73	68	67	70	72	67	66	65	67	59	67	52	51	49	99	65	0
5	Alex Formenton	0		X			100.00	65	35	76	58	73	78	54	58	60	60	60	64	59	50	50	74	99	62	0
6	Matt Puempel	0		X			100.00	54	35	66	69	78	53	54	69	50	65	65	52	66	53	51	77	99	61	0
7	Kurtis Gabriel	0			X		100.00	74	88	63	60	86	56	61	60	50	57	57	55	58	52	50	61	99	60	0
8	Andrew Poturalski	0	X				100.00	50	89	65	70	66	50	50	70	50	64	64	55	64	50	50	42	99	59	0
9	Sam Anas	0	X		X		100.00	50	89	70	70	61	50	50	70	50	60	60	50	60	50	50	42	97	58	0
10	Casey Nelson	0				X	100.00	67	44	78	63	74	74	69	62	30	61	56	70	65	54	51	37	99	64	0
11	Josh Mahura (R)	0				X	100.00	51	35	73	67	73	56	58	67	30	57	57	55	58	51	50	64	95	59	0
Rayé
1	Nicklas Jensen	0			X		100.00	52	37	73	69	81	49	51	63	30	53	60	54	58	60	47	71	93	59	0

	MOYENNE D'ÉQUIPE					100.00	60	50	71	67	75	65	65	66	53	63	62	59	63	54	51	59	98	63

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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	Dylan Ferguson (R)	100.00	65	56	56	78	65	30	65	66	66	66	62	50	58	50	97	55	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	65	56	56	78	65	30	65	66	66	66	62	50	58	50	97	55

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
mig	60	60	60	60	61	61	99	CAN	37	2	500,000$

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Sam Anas	BELLEVILLE Senators (OTW)	C/RW	6	3	0	3	-7	0	0	10	15	16	3	8	18.75%	24	112	18.76	0	0	0	0	0	0	0	0	0	0	0	0	58.46%	65	0	0	0	0	0.53	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				6	3	0	3	-7	0	0	10	15	16	3	8	18.75%	24	112	18.76	0	0	0	0	0	0	0	0	0	0	0	0	58.46%	65	0	0	0	0	0.53	0	0	0	0	0	0	0	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 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	Dylan Ferguson	BELLEVILLE Senators (OTW)	6	0	6	0	0.927	5.85	359	2	0	35	479	0	0	1	0.000	0	6	6	1	0	1
Stats d'équipe Total ou en Moyenne			6	0	6	0	0.927	5.85	359	2	0	35	479	0	0	1	0.000	0	6	6	1	0	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	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	Salaire Année 6	Link
Alex Formenton	BELLEVILLE Senators (OTW)	LW	19	1999-09-13	No	75 Kg	188 CM	No	No	No	1	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No						Lien
Andrew Mangiapane	BELLEVILLE Senators (OTW)	LW	23	1996-04-04	No	84 Kg	178 CM	No	No	No	6	Pro & Farm	1,100,000$	1,020,720$	1,100,000$	1,020,720$	0$	0$	No	1,100,000$	1,100,000$	1,100,000$	1,100,000$	1,100,000$	Lien
Andrew Poturalski	BELLEVILLE Senators (OTW)	C	25	1994-01-14	No	82 Kg	178 CM	No	No	No	1	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No						Lien
Casey Nelson	BELLEVILLE Senators (OTW)	D	27	1992-07-18	No	84 Kg	185 CM	No	No	No	1	Pro & Farm	800,000$	742,342$	800,000$	742,342$	0$	0$	No						Lien
Colin White	BELLEVILLE Senators (OTW)	C	22	1997-01-30	No	83 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No						Lien
Dylan Ferguson	BELLEVILLE Senators (OTW)	G	20	1998-09-20	Yes	86 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No						Lien
Jordan Greenway	BELLEVILLE Senators (OTW)	LW	22	1997-02-16	No	103 Kg	198 CM	No	No	No	1	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No						Lien
Josh Mahura	BELLEVILLE Senators (OTW)	D	21	1998-05-05	Yes	87 Kg	183 CM	No	No	No	4	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No	750,000$	750,000$	750,000$
Kurtis Gabriel	BELLEVILLE Senators (OTW)	RW	26	1993-04-20	No	91 Kg	193 CM	No	No	No	2	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No	750,000$					Lien
Matt Puempel	BELLEVILLE Senators (OTW)	LW	26	1993-01-24	No	93 Kg	185 CM	No	No	No	4	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No	750,000$	750,000$	750,000$			Lien
Michael Raffl	BELLEVILLE Senators (OTW)	LW	30	1988-12-01	No	91 Kg	183 CM	No	No	No	5	Pro & Farm	1,600,000$	1,484,684$	1,600,000$	1,484,684$	0$	0$	No	1,600,000$	1,600,000$	1,600,000$	1,600,000$		Lien
Nicklas Jensen	BELLEVILLE Senators (OTW)	RW	26	1993-03-06	No	98 Kg	191 CM	No	No	No	0	Pro & Farm					0$	0$	No
Sam Anas	BELLEVILLE Senators (OTW)	C/RW	26	1993-06-01	No	74 Kg	173 CM	No	No	No	1	Pro & Farm	750,000$	695,945$	750,000$	695,945$	0$	0$	No						Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
13	24.08	87 Kg	185 CM	2.15	788,462$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				31	1	2	2
2			Sam Anas	26	1	2	2
3		Sam Anas		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			Sam Anas	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
, Sam Anas,	, Sam Anas

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
, , , ,

Gardien
#1 : , #2 : Dylan Ferguson

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

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

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 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	IOWA Wild	1	0	1	0	0	0	0	0	1	8	-7	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	8	-7	0	0.000	1	2	3	0	0	1	1	2	0	12	12	12	15	0	114	34	0	12	0	0	0.00%	0	0	0.00%	0	9	51	17.65%	48	303	15.84%	18	73	24.66%	25	13	288	34	45	11
2	LEHIGH VALLEY Phantoms	2	0	2	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	2	3	5	1	0	1	1	2	0	8	12	12	15	0	142	42	2	17	3	0	0.00%	1	0	100.00%	0	9	51	17.65%	48	303	15.84%	18	73	24.66%	25	13	288	34	45	11
3	PROVIDENCE Bruins	1	0	1	0	0	0	0	0	0	6	-6	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	6	-6	0	0.000	0	0	0	0	0	1	1	2	0	6	12	12	15	0	69	21	0	7	0	0	0.00%	0	0	0.00%	0	9	51	17.65%	48	303	15.84%	18	73	24.66%	25	13	288	34	45	11
4	PV Sharapovas	2	0	2	0	0	0	0	0	1	14	-13	2	0	2	0	0	0	0	0	1	14	-13	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	1	1	2	0	13	12	12	15	0	155	45	2	11	0	0	0.00%	1	0	100.00%	0	9	51	17.65%	48	303	15.84%	18	73	24.66%	25	13	288	34	45	11
	Total	6	0	6	0	0	0	0	0	4	36	-32	3	0	3	0	0	0	0	0	2	19	-17	3	0	3	0	0	0	0	0	2	17	-15	0	0.000	4	7	11	1	0	1	1	2	0	39	12	12	15	0	480	142	4	47	3	0	0.00%	2	0	100.00%	0	9	51	17.65%	48	303	15.84%	18	73	24.66%	25	13	288	34	45	11
	_Since Last GM Reset	6	0	6	0	0	0	0	0	4	36	-32	3	0	3	0	0	0	0	0	2	19	-17	3	0	3	0	0	0	0	0	2	17	-15	0	0.000	4	7	11	1	0	1	1	2	0	39	12	12	15	0	480	142	4	47	3	0	0.00%	2	0	100.00%	0	9	51	17.65%	48	303	15.84%	18	73	24.66%	25	13	288	34	45	11
	_Vs Conference	5	0	5	0	0	0	0	0	4	30	-26	3	0	3	0	0	0	0	0	2	19	-17	2	0	2	0	0	0	0	0	2	11	-9	0	0.000	4	7	11	1	0	1	1	2	0	33	12	12	15	0	411	121	4	40	3	0	0.00%	2	0	100.00%	0	9	51	17.65%	48	303	15.84%	18	73	24.66%	25	13	288	34	45	11
	_Vs Division	2	0	2	0	0	0	0	0	2	8	-6	1	0	2	0	0	0	0	0	1	5	-4	1	0	0	0	0	0	0	0	1	3	-2	0	0.000	2	3	5	1	0	1	1	2	0	8	12	12	15	0	142	42	2	17	3	0	0.00%	1	0	100.00%	0	9	51	17.65%	48	303	15.84%	18	73	24.66%	25	13	288	34	45	11

			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
6	0	L6	4	7	11	39	480	142	4	47	1	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	0	6	0	0	0	0	4	36

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	2	19

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	2	17

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	6	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
3	0	0.00%	2	0	100.00%	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
12	12	15	0	1	1	2	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
9	51	17.65%	48	303	15.84%	18	73	24.66%

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
25	13	288	34	45	11

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	10	BELLEVILLE Senators	1	IOWA Wild	8	L	Sommaire du Match
2 - 2020-01-16	17	BELLEVILLE Senators	0	PROVIDENCE Bruins	6	L	Sommaire du Match
3 - 2020-01-17	27	PV Sharapovas	8	BELLEVILLE Senators	1	L	Sommaire du Match
4 - 2020-01-18	47	LEHIGH VALLEY Phantoms	5	BELLEVILLE Senators	1	L	Sommaire du Match
5 - 2020-01-19	59	PV Sharapovas	6	BELLEVILLE Senators	0	L	Sommaire du Match
7 - 2020-01-21	73	BELLEVILLE Senators	1	LEHIGH VALLEY Phantoms	3	L	Sommaire du Match
9 - 2020-01-23	85	WILKIES-BARRIE Penguins	-	BELLEVILLE Senators	-
11 - 2020-01-25	92	BELLEVILLE Senators	-	STOCKTON Flames	-
13 - 2020-01-27	108	BELLEVILLE Senators	-	Manitoba Moose	-
15 - 2020-01-29	125	Binghampton Devils	-	BELLEVILLE Senators	-
17 - 2020-01-31	140	UTICA Comets	-	BELLEVILLE Senators	-
19 - 2020-02-02	148	BELLEVILLE Senators	-	Syracruse Crunch	-
21 - 2020-02-04	162	PV Sharapovas	-	BELLEVILLE Senators	-
23 - 2020-02-06	186	STOCKTON Flames	-	BELLEVILLE Senators	-
24 - 2020-02-07	195	BELLEVILLE Senators	-	VICTORIAVILLE Tigres	-
26 - 2020-02-09	211	HOLLYWOOD Oscar	-	BELLEVILLE Senators	-
27 - 2020-02-10	222	BELLEVILLE Senators	-	Marlies de Toronto	-
28 - 2020-02-11	236	BRIDGEPORT Sound Tigers	-	BELLEVILLE Senators	-
29 - 2020-02-12	250	BELLEVILLE Senators	-	PV Sharapovas	-
30 - 2020-02-13	259	BELLEVILLE Senators	-	LAVAL Rockets	-
32 - 2020-02-15	271	PV Sharapovas	-	BELLEVILLE Senators	-
33 - 2020-02-16	287	BELLEVILLE Senators	-	HERSEY Bears	-
34 - 2020-02-17	294	LEHIGH VALLEY Phantoms	-	BELLEVILLE Senators	-
36 - 2020-02-19	314	HERSEY Bears	-	BELLEVILLE Senators	-
37 - 2020-02-20	325	BELLEVILLE Senators	-	WILKIES-BARRIE Penguins	-
38 - 2020-02-21	341	Marlies de Toronto	-	BELLEVILLE Senators	-
39 - 2020-02-22	356	BELLEVILLE Senators	-	Binghampton Devils	-
40 - 2020-02-23	362	BELLEVILLE Senators	-	UTICA Comets	-
42 - 2020-02-25	373	STOCKTON Flames	-	BELLEVILLE Senators	-
43 - 2020-02-26	393	WILKIES-BARRIE Penguins	-	BELLEVILLE Senators	-
44 - 2020-02-27	401	BELLEVILLE Senators	-	WILKIES-BARRIE Penguins	-
45 - 2020-02-28	415	BELLEVILLE Senators	-	BRIDGEPORT Sound Tigers	-
46 - 2020-02-29	422	BELLEVILLE Senators	-	COLORADO Eagles	-
47 - 2020-03-01	436	HOLLYWOOD Oscar	-	BELLEVILLE Senators	-
49 - 2020-03-03	452	BELLEVILLE Senators	-	LEHIGH VALLEY Phantoms	-
50 - 2020-03-04	461	LAVAL Rockets	-	BELLEVILLE Senators	-
52 - 2020-03-06	479	ROCKFORD IceHogs	-	BELLEVILLE Senators	-
53 - 2020-03-07	492	BELLEVILLE Senators	-	STOCKTON Flames	-
54 - 2020-03-08	502	MILWAUKEE Admirals	-	BELLEVILLE Senators	-
56 - 2020-03-10	519	BELLEVILLE Senators	-	PV Sharapovas	-
57 - 2020-03-11	531	Manitoba Moose	-	BELLEVILLE Senators	-
59 - 2020-03-13	547	BELLEVILLE Senators	-	LEHIGH VALLEY Phantoms	-
60 - 2020-03-14	552	BELLEVILLE Senators	-	MONT-LAURIER Sommet	-
61 - 2020-03-15	565	CHICAGO Wolves	-	BELLEVILLE Senators	-
62 - 2020-03-16	575	BELLEVILLE Senators	-	STOCKTON Flames	-
63 - 2020-03-17	591	Binghampton Devils	-	BELLEVILLE Senators	-
64 - 2020-03-18	603	MONT-LAURIER Sommet	-	BELLEVILLE Senators	-
66 - 2020-03-20	623	BELLEVILLE Senators	-	Syracruse Crunch	-
67 - 2020-03-21	634	CORNWALL Aces	-	BELLEVILLE Senators	-
68 - 2020-03-22	647	BELLEVILLE Senators	-	BROOKLYN Wolfpack	-
69 - 2020-03-23	654	BELLEVILLE Senators	-	Binghampton Devils	-
70 - 2020-03-24	668	BROOKLYN Wolfpack	-	BELLEVILLE Senators	-
71 - 2020-03-25	684	Manitoba Moose	-	BELLEVILLE Senators	-
73 - 2020-03-27	701	BELLEVILLE Senators	-	VICTORIAVILLE Tigres	-
74 - 2020-03-28	710	BELLEVILLE Senators	-	SAN DIEGO Gulls	-
75 - 2020-03-29	724	UTICA Comets	-	BELLEVILLE Senators	-
76 - 2020-03-30	732	BELLEVILLE Senators	-	CHICAGO Wolves	-
77 - 2020-03-31	748	VICTORIAVILLE Tigres	-	BELLEVILLE Senators	-
78 - 2020-04-01	761	BELLEVILLE Senators	-	Manitoba Moose	-
80 - 2020-04-03	777	MONT-LAURIER Sommet	-	BELLEVILLE Senators	-
81 - 2020-04-04	788	COLORADO Eagles	-	BELLEVILLE Senators	-
82 - 2020-04-05	802	BELLEVILLE Senators	-	MILWAUKEE Admirals	-
83 - 2020-04-06	815	CORNWALL Aces	-	BELLEVILLE Senators	-
85 - 2020-04-08	832	BELLEVILLE Senators	-	MONT-LAURIER Sommet	-
86 - 2020-04-09	839	BELLEVILLE Senators	-	TUSCON Roadrunners	-
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	864	BELLEVILLE Senators	-	ROCKFORD IceHogs	-
89 - 2020-04-12	876	VICTORIAVILLE Tigres	-	BELLEVILLE Senators	-
91 - 2020-04-14	892	PROVIDENCE Bruins	-	BELLEVILLE Senators	-
92 - 2020-04-15	901	BELLEVILLE Senators	-	CORNWALL Aces	-
93 - 2020-04-16	916	IOWA Wild	-	BELLEVILLE Senators	-
94 - 2020-04-17	926	BELLEVILLE Senators	-	CORNWALL Aces	-
95 - 2020-04-18	943	IOWA Wild	-	BELLEVILLE Senators	-
96 - 2020-04-19	951	BELLEVILLE Senators	-	IOWA Wild	-
98 - 2020-04-21	971	Syracruse Crunch	-	BELLEVILLE Senators	-
100 - 2020-04-23	989	BELLEVILLE Senators	-	PROVIDENCE Bruins	-
101 - 2020-04-24	1000	Syracruse Crunch	-	BELLEVILLE Senators	-
104 - 2020-04-27	1019	TUSCON Roadrunners	-	BELLEVILLE Senators	-
105 - 2020-04-28	1026	BELLEVILLE Senators	-	HOLLYWOOD Oscar	-
107 - 2020-04-30	1043	TUSCON Roadrunners	-	BELLEVILLE Senators	-
108 - 2020-05-01	1051	BELLEVILLE Senators	-	HOLLYWOOD Oscar	-
109 - 2020-05-02	1058	BELLEVILLE Senators	-	PROVIDENCE Bruins	-

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
38	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
110,722$	1,025,000$	1,025,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	74,684$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	103	13,739$	1,415,117$

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	6	0	6	0	0	0	0	0	4	36	-32	3	0	3	0	0	0	0	0	2	19	-17	3	0	3	0	0	0	0	0	2	17	-15	0	4	7	11	1	0	1	1	2	0	39	12	12	15	0	480	142	4	47	3	0	0.00%	2	0	100.00%	0	9	51	17.65%	48	303	15.84%	18	73	24.66%	25	13	288	34	45	11
Total Saison Régulière	6	0	6	0	0	0	0	0	4	36	-32	3	0	3	0	0	0	0	0	2	19	-17	3	0	3	0	0	0	0	0	2	17	-15	0	4	7	11	1	0	1	1	2	0	39	12	12	15	0	480	142	4	47	3	0	0.00%	2	0	100.00%	0	9	51	17.65%	48	303	15.84%	18	73	24.66%	25	13	288	34	45	11