Ligue de Hockey Simulé du Saguenay

Phantoms
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière Transactions
Blessure/Suspension

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
1	Jeff Carter	X				100.00	76	49	76	80	78	76	78	79	76	82	87	67	80	84	95	23	36	79	1
2	J.T. Miller		X			100.00	72	39	85	78	83	86	82	78	83	88	81	75	79	59	47	59	42	78	1
3	Jordan Nolan	X				100.00	87	61	77	79	89	75	89	83	81	81	74	69	80	71	66	38	43	78	1
4	Jakub Voracek			X		100.00	76	32	84	80	82	85	87	85	83	84	80	65	73	66	56	35	35	78	1
5	Niclas Bergfors			X		100.00	78	34	81	82	78	87	79	84	67	74	86	63	86	69	65	28	26	77	1
6	Drew Miller		X			100.00	74	29	74	78	75	89	79	79	67	80	78	75	71	85	82	19	31	76	1
7	Marcus Kruger			X		100.00	73	39	89	77	76	78	80	80	80	78	82	57	74	61	60	38	42	75	0
8	Chris Mcallister		X			100.00	80	42	75	71	71	77	71	80	50	81	74	78	66	75	62	19	42	74	0
9	Brock Nelson		X			100.00	77	35	85	77	76	76	75	80	74	74	76	63	74	61	57	45	39	73	0
10	Erik Christensen	X				100.00	75	33	74	80	67	73	73	69	78	83	80	57	59	85	85	16	38	73	0
11	Matthew Lombardi (A)	X				100.00	73	43	76	72	70	69	73	81	73	68	68	75	70	80	79	16	40	72	0
12	Ryan Callahan			X		100.00	66	31	75	75	78	74	73	78	73	69	79	69	72	72	66	20	45	72	0
13	Jacob Trouba				X	100.00	80	53	76	79	85	80	68	74	57	77	67	82	63	50	43	62	20	76	0
14	Jeff Woywitka (A)				X	100.00	76	42	84	72	78	76	75	80	63	84	57	78	67	92	77	16	24	76	1
15	Jonathan Ericsson				X	100.00	73	44	82	79	83	79	80	78	58	85	65	72	62	87	71	19	43	76	1
16	Matt Smaby				X	100.00	83	47	75	79	79	76	80	79	61	75	75	74	65	84	72	20	35	76	1
17	Nathan Beaulieu				X	100.00	77	40	84	78	75	76	81	77	67	83	66	74	68	62	52	50	40	75	0
18	Brian Lashoff				X	100.00	80	31	85	76	74	78	76	75	55	77	67	81	65	61	48	35	18	75	0
Rayé
1	Victor Bartley				X	100.00	74	37	71	72	75	71	76	70	63	72	64	71	65	75	64	31	21	71	0

	MOYENNE D'ÉQUIPE					100.00	76	40	79	77	77	78	78	78	69	79	74	71	70	73	66	31	35	75

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
1	Steve Mason	100.00	89	80	75	87	87	81	78	83	82	75	86	66	58	33	39	81	1
2	Ilya Sorokin	100.00	56	87	63	71	74	71	71	78	85	65	54	43	44	71	44	71	0
Rayé
1	Ray Emery	100.00	73	69	76	76	78	68	70	70	75	72	76	82	85	15	20	74	1

	MOYENNE D'ÉQUIPE	100.00	73	79	71	78	80	73	73	77	81	71	72	64	62	40	34	75

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Pat Quinn	82	83	87	73	99	88	37	CAN	68	2	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

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	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4
Brian Lashoff	Flyers	D	25	1990-01-01	No	212 Lbs	6 ft3	No	No	No	2	Pro Only	1,600,000$	1,600,000$	0$	No	1,900,000$
Brock Nelson	Flyers	LW	24	1991-01-01	No	206 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,500,000$	1,500,000$	0$	No
Chris Mcallister	Flyers	LW	30	1985-01-01	No	250 Lbs	6 ft7	No	No	No	4	Pro Only	2,000,000$	2,000,000$	0$	No	2,000,000$	2,000,000$	2,000,000$
Drew Miller	Flyers	LW	31	1984-01-01	No	178 Lbs	6 ft2	No	No	No	3	Pro Only	3,750,000$	3,750,000$	0$	No	3,250,000$	2,750,000$
Erik Christensen	Flyers	C	32	1983-01-01	No	203 Lbs	6 ft1	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	No
Ilya Sorokin	Flyers	G	19	1996-01-01	No	180 Lbs	6 ft2	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	No
J.T. Miller	Flyers	LW	22	1993-01-01	No	205 Lbs	6 ft1	No	No	No	2	Pro Only	2,700,000$	2,700,000$	0$	No	3,200,000$
Jacob Trouba	Flyers	D	21	1994-01-01	No	187 Lbs	6 ft2	No	No	No	3	Pro Only	2,750,000$	2,750,000$	0$	No	2,750,000$	3,000,000$
Jakub Voracek	Flyers	RW	26	1989-01-01	No	205 Lbs	6 ft1	No	No	No	3	Pro Only	5,000,000$	5,000,000$	0$	No	5,500,000$	6,000,000$
Jeff Carter	Flyers	C	30	1985-01-01	No	200 Lbs	6 ft3	No	No	No	4	Pro Only	5,000,000$	5,000,000$	0$	No	5,000,000$	5,000,000$	5,000,000$
Jeff Woywitka	Flyers	D	32	1983-01-01	No	224 Lbs	6 ft3	No	No	No	2	Pro Only	3,000,000$	3,000,000$	0$	No	2,500,000$
Jonathan Ericsson	Flyers	D	31	1984-01-01	No	220 Lbs	6 ft4	No	No	No	3	Pro Only	3,000,000$	3,000,000$	0$	No	3,000,000$	3,000,000$
Jordan Nolan	Flyers	C	26	1989-01-01	No	221 Lbs	6 ft3	No	No	No	4	Pro Only	4,000,000$	4,000,000$	0$	No	4,000,000$	4,000,000$	4,000,000$
Marcus Kruger	Flyers	RW	25	1990-01-01	No	181 Lbs	6 ft0	No	No	No	4	Pro Only	3,500,000$	3,500,000$	0$	No	3,500,000$	3,500,000$	3,500,000$
Matt Smaby	Flyers	D	31	1984-01-01	No	240 Lbs	6 ft4	No	No	No	3	Pro Only	3,000,000$	3,000,000$	0$	No	3,000,000$	3,000,000$
Matthew Lombardi	Flyers	C	33	1982-01-01	No	195 Lbs	5 ft11	No	No	No	1	Pro Only	1,500,000$	1,500,000$	0$	No
Nathan Beaulieu	Flyers	D	23	1992-01-01	No	205 Lbs	6 ft2	No	No	No	2	Pro Only	1,500,000$	1,500,000$	0$	No	1,750,000$
Niclas Bergfors	Flyers	RW	28	1987-01-01	No	195 Lbs	5 ft11	No	No	No	2	Pro Only	3,500,000$	3,500,000$	0$	No	4,000,000$
Ray Emery	Flyers	G	33	1982-01-01	No	196 Lbs	6 ft2	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	No
Ryan Callahan	Flyers	RW	30	1985-01-01	No	188 Lbs	5 ft11	No	No	No	1	Pro Only	1,200,000$	1,200,000$	0$	No
Steve Mason	Flyers	G	27	1988-01-01	No	211 Lbs	6 ft4	No	No	No	3	Pro Only	4,000,000$	4,000,000$	0$	No	4,000,000$	4,000,000$
Victor Bartley	Flyers	D	27	1988-01-01	No	203 Lbs	6 ft0	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	27.55	205 Lbs	6 ft2	2.32	2,497,727$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
54,950,000$	49,350,000$	36,250,000$	14,500,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	J.T. Miller	Jeff Carter	Marcus Kruger	33	0	1	4
2	Brock Nelson	Jordan Nolan	Jakub Voracek	32	0	1	4
3	Drew Miller	Erik Christensen	Niclas Bergfors	25	0	2	3
4	Chris Mcallister	Matthew Lombardi	Ryan Callahan	10	0	4	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob Trouba	Jonathan Ericsson	30	1	3	1
2	Jeff Woywitka	Nathan Beaulieu	30	1	3	1
3	Brian Lashoff	Matt Smaby	30	1	3	1
4	Jacob Trouba	Jeff Woywitka	10	1	3	1

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	J.T. Miller	Jeff Carter	Marcus Kruger	50	0	1	4
2	Drew Miller	Jordan Nolan	Jakub Voracek	50	0	1	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob Trouba	Nathan Beaulieu	50	0	2	3
2	Jonathan Ericsson	Jeff Woywitka	50	0	2	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Matthew Lombardi	Chris Mcallister	50	0	4	1
2	Jordan Nolan	Drew Miller	50	0	4	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob Trouba	Brian Lashoff	50	1	4	0
2	Jeff Woywitka	Jonathan Ericsson	50	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Matthew Lombardi	50	0	4	1	Jacob Trouba	Brian Lashoff	50	1	4	0
2	Jordan Nolan	50	0	4	1	Jeff Woywitka	Jonathan Ericsson	50	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jeff Carter	J.T. Miller	50	0	2	3
2	Jordan Nolan	Jakub Voracek	50	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob Trouba	Nathan Beaulieu	50	1	3	1
2	Jeff Woywitka	Jonathan Ericsson	50	1	3	1

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
J.T. Miller	Jeff Carter	Jakub Voracek	Jacob Trouba	Jeff Woywitka

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Drew Miller	Matthew Lombardi	Niclas Bergfors	Jacob Trouba	Brian Lashoff

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jeff Carter, Jordan Nolan, Drew Miller	Jeff Carter, Jordan Nolan	Drew Miller

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jacob Trouba, Jeff Woywitka, Jonathan Ericsson	Jacob Trouba	Jacob Trouba, Jeff Woywitka

Tirs de Pénalité
Jeff Carter, Jordan Nolan, J.T. Miller, Marcus Kruger, Jakub Voracek

Gardien
#1 : Steve Mason, #2 : Ilya Sorokin

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

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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			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
0	0	N/A	0	0	0	0	0	0	0	0	0	0

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

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

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

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	0	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
0	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
0	0	0	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
0	0	0.00%	0	0	0.00%	0	0	0.00%

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
0	0	0	0	0	0

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	OT	SO	RI	Lien

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des Billets	125	75	50	40	250
Assistance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
40	0 - 0.00%	0$	0$	18000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	54,950,000$	52,350,000$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	23,651,609$	22	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	0$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	6,872,881$	6,872,881$

Cap Salarial de la Saison Éstimé	Cap Salarial Disponible	Cap Salarial Maximum	Au dessus du Plafond Salarial Minimum
0$	56,000,000$	56,000,000$	-33,000,000$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

J.T. Miller	AGE:22	PO:59	OV:78
Drew Miller	AGE:31	PO:19	OV:76
Chris Mcallister	AGE:30	PO:19	OV:74
Brock Nelson	AGE:24	PO:45	OV:73
Michael Bournival (R)	AGE:23	PO:45	OV:71
Brandon McMillan (R)	AGE:25	PO:37	OV:68
Morgan Klimchuk (R)	AGE:20	PO:54	OV:63
Erik Nystrom (R)	AGE:22	PO:41	OV:63
Brendan Leipsic (R)	AGE:21	PO:48	OV:60
A.J. Greer (R)	AGE:19	PO:56	OV:55
Justin Kirkland (R)	AGE:19	PO:57	OV:52

Jeff Carter	AGE:30	PO:23	OV:79
Jordan Nolan	AGE:26	PO:38	OV:78
Erik Christensen	AGE:32	PO:16	OV:73
Matthew Lombardi	AGE:33	PO:16	OV:72
Calle Jarnkrok (R)	AGE:24	PO:42	OV:70
Tyler Brenner	AGE:27	PO:30	OV:70
Nick Shore (R)	AGE:23	PO:43	OV:65
Cristoval Nieves (R)	AGE:21	PO:50	OV:64
David Kampf (R)	AGE:20	PO:64	OV:61
Lucas Wallmarkk (R)	AGE:19	PO:64	OV:61
Laurent Dauphin (R)	AGE:20	PO:57	OV:59
Anthony Angello (R)	AGE:19	PO:58	OV:56
Cooper Marody (R)	AGE:19	PO:63	OV:53

Jakub Voracek	AGE:26	PO:35	OV:78
Niclas Bergfors	AGE:28	PO:28	OV:77
Marcus Kruger	AGE:25	PO:38	OV:75
Tyler Randell (R)	AGE:24	PO:40	OV:72
Ryan Callahan	AGE:30	PO:20	OV:72
Tomas Kubalik	AGE:25	PO:39	OV:70
Travis Konecny (R)	AGE:18	PO:77	OV:66
Sven Andrighetto (R)	AGE:22	PO:53	OV:66
Nick Sorensen (R)	AGE:21	PO:57	OV:59
JC Lipon (R)	AGE:22	PO:48	OV:57

Défense #1

Défense #2

Gardien

Jacob Trouba	AGE:21	PO:62	OV:76
Matt Smaby	AGE:31	PO:20	OV:76
Jonathan Ericsson	AGE:31	PO:19	OV:76
Jeff Woywitka	AGE:32	PO:16	OV:76
Nathan Beaulieu	AGE:23	PO:50	OV:75
Brian Lashoff	AGE:25	PO:35	OV:75
Dylan Olsen (R)	AGE:24	PO:38	OV:73
Victor Bartley	AGE:27	PO:31	OV:71

Reid McNeill (R)	AGE:23	PO:43	OV:69
Jake Dotchin (R)	AGE:21	PO:51	OV:68
Mark Alt (R)	AGE:24	PO:34	OV:66
Ivan Provorov (R)	AGE:18	PO:85	OV:65
Brenden Kichton (R)	AGE:23	PO:38	OV:64
Blake Heinrich (R)	AGE:20	PO:53	OV:63
Rinat Valiev (R)	AGE:20	PO:62	OV:62
Devon Teows (R)	AGE:21	PO:56	OV:62

Steve Mason	AGE:27	PO:33	OV:81
Ray Emery	AGE:33	PO:15	OV:74
Ilya Sorokin	AGE:19	PO:71	OV:71
Anton Forsberg	AGE:23	PO:44	OV:71
Zachary Fucale	AGE:20	PO:55	OV:66
Jason Kasdorf	AGE:23	PO:46	OV:64
Scott Wedgewood	AGE:23	PO:36	OV:63

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total	Information	Lien

Choix au Repêchage

Année	R1	R2	R3	R4	R5
14
15
16
17
18

[2021-05-20 7:22:54 PM] - Phantoms was eliminated at round 1 of year 13.
[2021-05-13 7:09:33 PM] - Flyers didn't make playoff for year 13.
[2021-04-01 6:54:31 PM] - Team Name Change : Harfangs changed name to Phantoms
[2021-03-14 7:58:03 PM] - TRADE : From Flyers to Kings : Mats Zuccarello (74), Oliver Ekman-Larsson (81), Ryan Hartman (68), Y:14-RND:2-Phi, Y:3-RND:0-.
[2021-03-14 7:58:03 PM] - TRADE : From Kings to Flyers : Jacob Trouba (76), Niclas Bergfors (77), Travis Konecny (66).
[2020-12-01 9:06:53 PM] - Flyers hired Pat Quinn for $2,500,000 for 2 year(s).
[2020-12-01 8:23:38 PM] - Harfangs hired Randy Cunneyworth for $250,000 for 0 year(s).
[2020-12-01 8:23:38 PM] - Harfangs fired Mike Sullivan.
[2020-10-14 7:12:31 PM] - Erik Christensen signed with Flyers for $500,000 for 1 year(s).
[2020-10-14 7:12:31 PM] - Erik Christensen was added to Flyers.
[2020-10-14 7:12:18 PM] - Ray Emery signed with Flyers for $500,000 for 1 year(s).
[2020-10-14 7:12:18 PM] - Ray Emery was added to Flyers.

[2021-05-21 7:47:52 PM] Blake Heinrich from Phantoms is back from Strained Right Elbow Injury.
[2021-05-20 7:22:54 PM] Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2021-05-19 7:20:29 PM] Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2021-05-19 7:17:11 PM] Auto Lines Function has been run for Phantoms.
[2021-05-18 7:07:10 PM] Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2021-05-18 7:07:06 PM] Game 27 - Blake Heinrich from Phantoms is injured (Strained Right Elbow) and is out for 2 weeks.
[2021-05-17 7:03:55 PM] Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2021-05-17 7:03:36 PM] Auto Lines Function has been run for Phantoms.
[2021-05-16 8:40:15 PM] Auto Lines Function has been run for Phantoms.
[2021-05-13 8:44:32 PM] Auto Lines Function has been run for Phantoms.
[2021-05-11 7:05:51 PM] Auto Lines Function has been run for Phantoms.
[2021-05-10 6:58:55 PM] Auto Lines Function has been run for Phantoms.
[2021-05-07 8:01:37 PM] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2021-05-06 7:07:04 PM] Auto Lines Function has been run for Phantoms.
[2021-05-05 7:01:44 PM] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2021-05-03 9:58:16 PM] Erik Nystrom from Phantoms is back from Bruised Left Arm Injury.
[2021-05-03 9:58:16 PM] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2021-05-02 8:13:06 PM] Tyler Randell from Phantoms has scored a Hat Trick!
[2021-05-02 8:12:49 PM] Auto Lines Function has been run for Phantoms.
[2021-04-29 7:00:38 PM] Morgan Klimchuk from Phantoms is back from Strained Left Knee Injury.
[2021-04-29 7:00:36 PM] Game 972 - Morgan Klimchuk from Phantoms is injured (Strained Left Knee) and is out for 5 days.
[2021-04-29 7:00:29 PM] Auto Lines Function has been run for Phantoms.
[2021-04-28 7:26:34 PM] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2021-04-27 7:31:10 PM] Auto Lines Function has been run for Phantoms.
[2021-04-26 7:18:48 PM] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2021-04-25 9:05:06 PM] Game 948 - Erik Nystrom from Phantoms is injured (Bruised Left Arm) and is out for 2 weeks.
[2021-04-23 7:09:14 PM] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2021-04-23 7:07:52 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.7.7
[2021-04-23 7:07:52 PM] Victor Bartley of Flyers was sent to pro.
[2021-04-21 7:20:56 PM] Both Flyers and Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2021-04-20 7:04:12 PM] Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2021-04-18 7:20:18 PM] Both Flyers and Phantoms lines for next game are empty. Current rosters/lines are not erased.

Pas de Blessure ou de Suspension.

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

	Flyers
	GP: 0 \| W: 0 \| L: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% DG: Simon de Champlain \| Morale : 99 \| Moyenne d'Équipe : 75