LAAHS - Blues

Peoria Riverman
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Dernière Transactions
Blessure/Suspension
Stats d'équipe en Carrière

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	Cody Eakin	X	X	X		100.00	76	43	92	84	70	70	96	63	88	67	74	71	25	73	75	76	27	69	0
2	Colin White	X		X		100.00	61	41	89	81	67	73	87	79	80	75	67	62	53	61	61	73	27	68	0
3	Michael Frolik		X	X		100.00	73	43	87	82	71	65	85	61	36	69	73	65	38	78	80	73	22	67	0
4	Curtis Lazar			X		100.00	76	74	81	72	74	74	77	65	80	59	64	70	61	64	65	67	22	64	0
5	Melker Karlsson	X	X	X		100.00	71	42	89	78	65	59	92	59	51	56	64	72	75	65	67	69	31	64	0
6	Matt Martin		X	X		100.00	99	78	78	74	83	59	76	61	36	59	59	72	25	74	76	66	29	64	0
7	Jeremy Bracco			X		100.00	72	64	92	73	64	76	78	69	50	74	60	65	57	47	47	67	32	64	0
8	Jordan Schroeder	X		X		100.00	71	61	94	74	61	79	83	65	80	61	62	67	59	61	62	67	46	64	0
9	Dominik Simon	X	X			100.00	78	44	91	77	69	65	80	70	35	73	60	54	25	59	60	66	32	63	0
10	Ryan Reaves		X	X		100.00	99	80	74	73	83	57	97	63	42	60	61	54	25	71	73	64	33	63	0
11	David Schlemko				X	100.00	81	44	92	72	69	80	60	71	25	50	47	85	75	70	71	64	8	68	0
12	Jason Demers				X	100.00	79	44	89	83	72	80	70	60	25	52	47	75	25	74	77	63	16	68	0
13	Adam Fox (R)				X	100.00	65	53	80	84	67	77	80	70	25	64	58	78	25	44	44	70	30	67	0
14	Jordan Oesterle				X	100.00	71	42	94	77	67	78	80	72	25	55	48	76	25	58	58	64	23	67	0
15	Matt Benning				X	100.00	81	55	86	82	74	66	89	65	25	54	48	72	25	59	59	63	32	67	0
16	Brendan Smith				X	100.00	81	76	69	76	79	67	76	61	25	50	48	70	25	70	72	61	33	66	0
17	Nic Hague (R)				X	100.00	78	78	73	76	82	75	80	59	25	57	41	73	25	44	44	60	36	65	0
18	MacKenzie Weegar				X	100.00	85	88	72	68	80	71	79	63	25	56	49	75	25	52	52	62	32	65	0
Rayé
1	Anthony Cirelli	X	X	X		100.00	76	56	87	76	67	69	93	66	90	74	74	91	75	60	61	76	19	71	0
2	Corey Perry			X		100.00	69	64	76	74	80	68	68	72	25	65	66	57	63	85	91	67	34	65	0
3	Ryan Sproul				X	100.00	82	78	92	73	78	75	80	55	25	46	49	66	47	46	46	60	33	62	0

	MOYENNE D'ÉQUIPE					100.00	77	59	85	77	72	71	81	65	44	61	58	70	42	63	64	67	28	66

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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	Tom McCollum	100.00	53	64	80	85	49	55	52	58	52	52	30	44	44	54	30	56	0
2	Scott Darling	100.00	49	62	78	95	45	49	50	55	47	48	30	58	59	51	39	56	0
Rayé
1	Jonathan Quick	HO	59	85	83	80	59	58	50	62	58	59	95	74	79	62	33	64	0

	MOYENNE D'ÉQUIPE	100.00	54	70	80	87	51	54	51	58	52	53	52	59	61	56	34	59

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Stevens	69	54	45	66	75	59	61	CAN	49	2	1,000,000$

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	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	Salaire Année 5	Link
Adam Fox	Blues	D	20	1998-02-17 06:16:57	Yes	181 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	No	925,000$	925,000$
Anthony Cirelli	Blues	C/LW/RW	20	1997-07-15	No	180 Lbs	6 ft0	No	No	No	2	Pro & Farm	728,333$	728,333$	0$	No	728,333$				Lien
Brendan Smith	Blues	D	29	1989-02-07	No	211 Lbs	6 ft2	No	No	No	2	Pro & Farm	4,350,000$	4,350,000$	0$	No	4,350,000$				Lien
Cody Eakin	Blues	C/LW/RW	27	1991-05-24	No	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	3,850,000$	3,850,000$	0$	No					Lien
Colin White	Blues	C/RW	21	1997-01-30	No	183 Lbs	6 ft0	No	No	No	5	Pro & Farm	14,750,000$	14,750,000$	0$	No	4,750,000$	4,750,000$	4,750,000$	4,750,000$	Lien
Corey Perry	Blues	RW	33	1985-05-16	No	213 Lbs	6 ft3	Yes	No	No	2	Pro & Farm	12,000,000$	12,000,000$	0$	No	12,000,000$				Lien
Curtis Lazar	Blues	RW	23	1995-02-02	No	209 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	No					Lien
David Schlemko	Blues	D	31	1987-05-07	No	189 Lbs	6 ft1	Yes	No	No	1	Pro & Farm	2,100,000$	2,100,000$	0$	No					Lien
Dominik Simon	Blues	C/LW	23	1994-08-08	No	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	No					Lien
Jason Demers	Blues	D	30	1988-06-09	No	195 Lbs	6 ft1	No	No	No	2	Pro & Farm	4,500,000$	4,500,000$	0$	No	4,500,000$				Lien
Jeremy Bracco	Blues	RW	21	1997-03-17	No	180 Lbs	5 ft9	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	No	925,000$				Lien
Jonathan Quick	Blues	G	32	1986-01-20	No	218 Lbs	6 ft1	No	No	No	4	Pro & Farm	5,800,000$	5,800,000$	0$	No	5,800,000$	5,800,000$	5,800,000$		Lien
Jordan Oesterle	Blues	D	26	1992-06-24	No	182 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,400,000$	1,400,000$	0$	No	1,400,000$				Lien
Jordan Schroeder	Blues	C/RW	27	1990-09-28	No	170 Lbs	5 ft9	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	0$	No					Lien
MacKenzie Weegar	Blues	D	24	1994-01-07	No	212 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,600,000$	1,600,000$	0$	No					Lien
Matt Benning	Blues	D	24	1994-05-25	No	204 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,900,000$	1,900,000$	0$	No					Lien
Matt Martin	Blues	LW/RW	29	1989-05-08	No	220 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	2,500,000$	2,500,000$	0$	No					Lien
Melker Karlsson	Blues	C/LW/RW	27	1990-07-18	No	182 Lbs	5 ft10	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	0$	No					Lien
Michael Frolik	Blues	LW/RW	30	1988-02-16	No	194 Lbs	6 ft1	No	No	No	1	Pro & Farm	4,300,000$	4,300,000$	0$	No					Lien
Nic Hague	Blues	D	19	1998-12-05	Yes	214 Lbs	6 ft6	No	No	No	3	Pro & Farm	822,500$	822,500$	0$	No	822,500$	822,500$			Lien
Ryan Reaves	Blues	LW/RW	31	1987-01-20	No	225 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,775,000$	2,775,000$	0$	No					Lien
Ryan Sproul	Blues	D	25	1993-01-12	No	205 Lbs	6 ft4	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	No					Lien
Scott Darling	Blues	G	29	1988-12-21	No	232 Lbs	6 ft6	No	No	No	2	Pro & Farm	4,150,000$	4,150,000$	0$	No	4,150,000$				Lien
Tom McCollum	Blues	G	28	1989-12-06	No	226 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	No					Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	26.21	200 Lbs	6 ft1	1.75	3,136,493$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
75,275,833$	40,350,833$	12,297,500$	10,550,000$	4,750,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Michael Frolik	Cody Eakin	Colin White	40	1	2	2
2	Melker Karlsson	Jordan Schroeder	Curtis Lazar	30	1	2	2
3	Matt Martin	Dominik Simon	Jeremy Bracco	20	1	2	2
4	Ryan Reaves	Cody Eakin	Colin White	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jason Demers	David Schlemko	40	1	2	2
2	Adam Fox	Jordan Oesterle	30	1	2	2
3	Matt Benning	Brendan Smith	20	1	2	2
4	Nic Hague	MacKenzie Weegar	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Michael Frolik	Cody Eakin	Colin White	60	1	2	2
2	Melker Karlsson	Jordan Schroeder	Curtis Lazar	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jason Demers	David Schlemko	60	1	2	2
2	Adam Fox	Jordan Oesterle	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Cody Eakin	Colin White	60	1	2	2
2	Michael Frolik	Jordan Schroeder	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jason Demers	David Schlemko	60	1	2	2
2	Adam Fox	Jordan Oesterle	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Cody Eakin	60	1	2	2	Jason Demers	David Schlemko	60	1	2	2
2	Colin White	40	1	2	2	Adam Fox	Jordan Oesterle	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Cody Eakin	Colin White	60	1	2	2
2	Michael Frolik	Jordan Schroeder	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jason Demers	David Schlemko	60	1	2	2
2	Adam Fox	Jordan Oesterle	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Michael Frolik	Cody Eakin	Colin White	Jason Demers	David Schlemko

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Michael Frolik	Cody Eakin	Colin White	Jason Demers	David Schlemko

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Matt Martin, Jeremy Bracco, Dominik Simon	Matt Martin, Jeremy Bracco	Dominik Simon

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Matt Benning, Brendan Smith, Nic Hague	Matt Benning	Brendan Smith, Nic Hague

Tirs de Pénalité
Cody Eakin, Colin White, Michael Frolik, Jordan Schroeder, Melker Karlsson

Gardien
#1 : Tom McCollum, #2 : Scott Darling

Lignes d'Attaque Perso. en Prol.
Cody Eakin, Colin White, Michael Frolik, Jordan Schroeder, Melker Karlsson, Curtis Lazar, Curtis Lazar, Matt Martin, Jeremy Bracco, Dominik Simon, Ryan Reaves

Lignes de Défense Perso. en Prol.
Jason Demers, David Schlemko, Adam Fox, Jordan Oesterle, Matt Benning

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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
	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 de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	100	60	40	30	200
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 de l'Aréna	Popularité de l'Équipe
41	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$	75,275,833$	51,060,833$	0$	1,675,000$

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$	0$	23	1

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	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	40,699,712$	40,699,712$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Anthony Cirelli	AGE:20	PO:76	OV:71
Cody Eakin	AGE:27	PO:76	OV:69
Michael Frolik	AGE:30	PO:73	OV:67
Melker Karlsson	AGE:27	PO:69	OV:64
Matt Martin	AGE:29	PO:66	OV:64
Dominik Simon	AGE:23	PO:66	OV:63
Ryan Reaves	AGE:31	PO:64	OV:63
*Joel Farabee	AGE:18	PO:58	OV:62
Zach Sanford	AGE:23	PO:67	OV:61
*Dmitry Sokolov	AGE:20	PO:65	OV:61
Ryan Spooner	AGE:26	PO:62	OV:60
Michael Carcone	AGE:22	PO:64	OV:59
Valentin Zykov	AGE:23	PO:62	OV:58
Max McCormick	AGE:26	PO:61	OV:57
Kevin Roy	AGE:25	PO:57	OV:55
*Jeffrey Truchon-Viel	AGE:21	PO:56	OV:55
Tyrell Goulbourne	AGE:24	PO:56	OV:55

Anthony Cirelli	AGE:20	PO:76	OV:71
Cody Eakin	AGE:27	PO:76	OV:69
Colin White	AGE:21	PO:73	OV:68
Melker Karlsson	AGE:27	PO:69	OV:64
Jordan Schroeder	AGE:27	PO:67	OV:64
Dominik Simon	AGE:23	PO:66	OV:63
Denis Malgin	AGE:21	PO:67	OV:62
Gabriel Dumont	AGE:27	PO:63	OV:61
Matthew Peca	AGE:25	PO:64	OV:60
Ryan Spooner	AGE:26	PO:62	OV:60
*Dillon Dube	AGE:19	PO:62	OV:59
Kevin Roy	AGE:25	PO:57	OV:55
*Mason Shaw	AGE:19	PO:56	OV:54
Alex Dostie	AGE:21	PO:53	OV:52

Anthony Cirelli	AGE:20	PO:76	OV:71
Cody Eakin	AGE:27	PO:76	OV:69
Colin White	AGE:21	PO:73	OV:68
Michael Frolik	AGE:30	PO:73	OV:67
Corey Perry	AGE:33	PO:67	OV:65
Melker Karlsson	AGE:27	PO:69	OV:64
Curtis Lazar	AGE:23	PO:67	OV:64
Jeremy Bracco	AGE:21	PO:67	OV:64
Jordan Schroeder	AGE:27	PO:67	OV:64
Matt Martin	AGE:29	PO:66	OV:64
Ryan Reaves	AGE:31	PO:64	OV:63
*Dmitry Sokolov	AGE:20	PO:65	OV:61
Gabriel Dumont	AGE:27	PO:63	OV:61
Ryan Spooner	AGE:26	PO:62	OV:60
Michael Carcone	AGE:22	PO:64	OV:59
*Dillon Dube	AGE:19	PO:62	OV:59
Valentin Zykov	AGE:23	PO:62	OV:58
Kevin Roy	AGE:25	PO:57	OV:55

Défense #1

Défense #2

Gardien

David Schlemko	AGE:31	PO:64	OV:68
Jason Demers	AGE:30	PO:63	OV:68
*Adam Fox	AGE:20	PO:70	OV:67
Jordan Oesterle	AGE:26	PO:64	OV:67
Matt Benning	AGE:24	PO:63	OV:67
Brendan Smith	AGE:29	PO:61	OV:66
MacKenzie Weegar	AGE:24	PO:62	OV:65
*Nic Hague	AGE:19	PO:60	OV:65
Ryan Sproul	AGE:25	PO:60	OV:62
Ashton Sautner	AGE:24	PO:59	OV:62

Andy Welinski	AGE:25	PO:59	OV:61
Cameron Schilling	AGE:29	PO:56	OV:61
Robbie Russo	AGE:25	PO:58	OV:60
*William Lagesson	AGE:22	PO:57	OV:59
Julian Melchiori	AGE:26	PO:54	OV:58
Nolan Valleau	AGE:25	PO:53	OV:57
Lucas Johansen	AGE:20	PO:53	OV:56
Josh Wesley	AGE:22	PO:51	OV:55
Michael Paliotta	AGE:25	PO:51	OV:54

Jonathan Quick	AGE:32	PO:62	OV:64
Tom McCollum	AGE:28	PO:54	OV:56
Scott Darling	AGE:29	PO:51	OV:56
Kasimir Kaskisuo	AGE:24	PO:54	OV:55
Charlie Lindgren	AGE:24	PO:53	OV:55
Calvin Pickard	AGE:26	PO:50	OV:52

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
Aleksi Makela	Blues	2013	182
Alexis Gravel	Blues	2018	109
Axel Andersson	Blues	2018	53
Blake McLaughlin	Blues	2018	72
Chad Krys	Blues	2016	59
Cole Cassels	Blues
Dmitri Samorukov	Blues	2017	102
Eric Roy	Blues
Frederik Olofsson	Blues	2014	137
Hunter Drew	Blues	2018	204
JOHN DRAEGER	Blues	2012	92
Jack Walker	Blues	2016	143
Jaret Anderson-Dolan	Blues	2017	42
Jesper Sellgren	Blues	2018	203
Jordan Sambrook	Blues	2016	138
Joseph Veleno	Blues	2018	15
Kevin Bieksa	Blues
MIKKO VAINONEN	Blues	2012	122
Markus Phillips	Blues	2017	90
Mathias Laferriere	Blues	2018	180
Maximilian Pajpach	Blues	2014	184
Miro Aaltonen	Blues
Nicolas Hague	Blues	2017	29
Nikolas Koberstein	Blues	2014	125
Ruslan Iskhakov	Blues	2018	61
Ryan Segalla	Blues	2013	122
Shane Bowers	Blues	2017	32
Steve Mason	Blues
Steven Johnson	Blues	2014	154
Trey Fix-Wolansky	Blues	2018	151
Viktor Svedberg	Blues

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
2020	STL		STL	STL	NJD STL	STL	NJD	STL
2021	STL	STL	STL	STL	STL	STL	OTT STL	STL
2022	STL	STL	STL	STL	STL	STL	STL	STL
2023	STL	STL	STL	STL	STL	STL	STL	STL
2024	STL	STL	STL	STL	STL	STL	STL	STL

[2020-04-29 17:02:26] - Peoria Riverman didn't make playoff for year 2019.
[2020-04-29 17:02:26] - Blues didn't make playoff for year 2019.
[2019-11-30 12:18:32] - Adam Fox was added to Blues.
[2019-11-30 12:08:21] - Joel Farabee was added to Blues.
[2019-10-11 17:20:47] - Scott Darling was added to Blues.
[2019-10-11 17:20:47] - Blues claimed Scott Darling from waivers by Sabres for 0 $.
[2019-10-11 17:20:30] - Blues show interest in Scott Darling from waiver.
[2019-10-09 16:17:02] - Bobby Butler was released.
[2019-10-09 16:17:02] - Blues paid 0 $ to release Bobby Butler.
[2019-10-09 16:14:21] - TRADE : From Senateurs to Blues : Ryan Spooner (61), Y:2021-RND:7-OTT.
[2019-10-09 16:14:21] - TRADE : From Blues to Senateurs : Y:2020-RND:7-STL.
[2019-10-07 17:48:25] - Bobby Butler signed with Blues for 12 000 000 $ for 1 year(s) / Option : No Trade.
[2019-10-07 17:48:25] - Bobby Butler was added to Blues.
[2019-09-27 13:14:27] - Nic Hague was added to Blues.
[2019-09-24 16:59:17] - TRADE : From Canadiens to Blues : Jason Demers (68).
[2019-09-24 16:59:17] - TRADE : From Blues to Canadiens : Nate Thompson (66).
[2019-09-23 15:11:15] - Peoria Riverman hired Blaine Forsythe for 60 000 $ for 1 year(s).
[2019-09-22 12:06:18] - Ben Holmstrom was released.
[2019-09-05 20:18:05] - Tom McCollum signed with Blues for 700 000 $ for 1 year(s).
[2019-09-05 20:18:05] - Tom McCollum was added to Blues.
[2019-09-05 20:17:49] - Michael Paliotta signed with Blues for 700 000 $ for 1 year(s).
[2019-09-05 20:17:49] - Michael Paliotta was added to Blues.
[2019-09-05 20:17:38] - Nolan Valleau signed with Blues for 700 000 $ for 1 year(s).
[2019-09-05 20:17:38] - Nolan Valleau was added to Blues.
[2019-09-05 20:17:25] - Ryan Sproul signed with Blues for 750 000 $ for 1 year(s).
[2019-09-05 20:17:25] - Ryan Sproul was added to Blues.
[2019-09-05 20:14:47] - Jordan Schroeder signed with Blues for 1 000 000 $ for 1 year(s).
[2019-09-05 20:14:47] - Jordan Schroeder was added to Blues.

[2020-04-28 19:30:00] Blues lines for next game are empty. Current rosters/lines are not erased.
[2020-04-28 19:29:57] Auto Lines Function has been run for Blues.
[2020-04-28 19:28:40] Auto Lines Function has been run for Blues.
[2020-04-28 19:28:40] Auto Roster Partial Function has been run for Blues.
[2020-04-24 15:19:28] David Schlemko from Blues is back from Exhaustion.
[2020-04-24 15:18:41] Blues lines for next game are empty. Current rosters/lines are not erased.
[2020-04-24 15:18:41] David Schlemko from Blues is injured from Exhaustion.
[2020-04-24 15:18:38] Auto Lines Function has been run for Blues.
[2020-04-24 15:04:45] Auto Lines Function has been run for Blues.
[2020-04-24 15:04:45] Auto Roster Partial Function has been run for Blues.
[2020-04-24 15:04:45] Scott Darling of Blues was sent to pro.
[2020-04-23 16:06:35] David Schlemko from Blues is back from Exhaustion.
[2020-04-22 17:07:59] Melker Karlsson from Blues is back from Exhaustion.
[2020-04-21 16:12:19] Jonathan Quick from Blues suspended for 99 game(s)
[2020-04-21 15:53:12] Blues lines for next game are empty. Current rosters/lines are not erased.
[2020-04-21 15:53:12] David Schlemko from Blues is injured from Exhaustion.
[2020-04-21 15:53:12] Melker Karlsson from Blues is injured from Exhaustion.
[2020-04-21 15:53:09] Auto Lines Function has been run for Blues.
[2020-04-21 15:51:47] Auto Lines Function has been run for Blues.
[2020-04-21 15:51:47] Auto Roster Partial Function has been run for Blues.
[2020-04-20 16:06:35] David Schlemko from Blues is back from Head Injury.
[2020-04-20 16:06:35] Melker Karlsson from Blues is back from Exhaustion.
[2020-04-20 16:05:53] Blues lines for next game are empty. Current rosters/lines are not erased.
[2020-04-20 16:05:52] Melker Karlsson from Blues is injured from Exhaustion.
[2020-04-20 16:05:49] Auto Lines Function has been run for Blues.
[2020-04-20 16:03:40] Auto Lines Function has been run for Blues.
[2020-04-20 16:03:40] Auto Roster Partial Function has been run for Blues.
[2020-04-17 15:32:43] Blues lines for next game are empty. Current rosters/lines are not erased.
[2020-04-17 15:32:43] Game 1175 - David Schlemko from Blues is injured (Head) and is out for 1 week.
[2020-04-15 17:04:45] Both Blues and Peoria Riverman lines for next game are empty. Current rosters/lines are not erased.
[2020-04-15 17:04:44] Andy Welinski from Peoria Riverman completes suspension
[2020-04-15 16:54:47] Auto Lines Function has been run for Blues.
[2020-04-14 17:32:11] Blues are expected to be under the minimum salary cap by 3 889 167 $!
[2020-04-13 16:27:53] Blues are expected to be under the minimum salary cap by 3 889 167 $!
[2020-04-13 16:27:28] Michael Frolik from Blues is back from Exhaustion.
[2020-04-13 16:26:44] Blues are expected to be under the minimum salary cap by 8 189 167 $!
[2020-04-13 16:26:38] Cody Eakin from Blues is back from Exhaustion.

Jonathan Quick est suspendu indéfiniement.

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
Saison Régulière
2016	82	29	37	0	4	8	2	2	232	270	-38	41	15	19	0	2	4	0	1	119	128	-9	41	14	18	0	2	4	2	1	113	142	-29	58	232	366	598	3	0	57	91	78	8	2822	811	1034	955	36	2865	946	499	1677	204	48	23.53%	218	38	82.57%	4	954	2008	47.51%	1026	2073	49.49%	553	1192	46.39%	1681	943	1816	758	1465	724
2017	82	24	44	0	5	7	1	1	230	295	-65	41	12	24	0	2	2	1	0	116	146	-30	41	12	20	0	3	5	0	1	114	149	-35	48	230	373	603	0	0	54	106	64	9	2603	757	977	845	34	2919	1017	558	1510	174	36	20.69%	267	74	72.28%	3	802	1811	44.28%	873	1949	44.79%	570	1217	46.84%	1584	852	1869	772	1498	733
2018	82	25	38	0	4	5	5	5	253	284	-31	41	12	23	0	1	1	4	0	122	144	-22	41	13	15	0	3	4	1	5	131	140	-9	50	253	412	665	2	1	47	108	89	11	2802	809	1013	949	63	2863	954	810	1708	213	54	25.35%	255	55	78.43%	3	956	1923	49.71%	846	1733	48.82%	602	1228	49.02%	1655	920	1842	769	1483	716
2019	82	22	46	0	4	7	1	2	236	301	-65	41	12	22	0	1	5	0	1	116	146	-30	41	10	24	0	3	2	1	1	120	155	-35	63	236	378	614	6	0	54	86	91	6	2538	658	893	973	25	2877	934	509	1487	197	38	19.29%	215	56	73.95%	6	770	1730	44.51%	726	1645	44.13%	594	1209	49.13%	1579	840	1872	762	1501	751
Total Saison Régulière	328	100	165	0	17	27	9	10	951	1150	-199	164	51	88	0	6	12	5	2	473	564	-91	164	49	77	0	11	15	4	8	478	586	-108	219	951	1529	2480	11	1	212	391	322	34	10765	3035	3917	3722	158	11524	3851	2376	6382	788	176	22.34%	955	223	76.65%	16	3482	7472	46.60%	3471	7400	46.91%	2319	4846	47.85%	6500	3556	7401	3063	5948	2926