LHSIR - Condors

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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	Âge	Contrat	Salaire
1	Brian Gibbons	X	X			100.00	65	41	91	70	61	55	70	55	25	50	55	70	53	64	65	60	50	0	0	32	1	1,000,000$
2	Mason Marchment		X			100.00	74	77	67	60	77	59	59	61	50	51	67	63	64	44	44	63	50	0	0	25	1	1,000,000$
3	Matt Luff			X		100.00	73	43	96	64	71	56	76	59	26	67	57	58	25	49	49	63	50	0	0	23	2	677,777$
4	Dennis Yan (R)		X			100.00	75	72	82	63	72	66	69	56	50	47	58	65	55	52	52	60	50	0	0	23	3	935,833$
5	Gabriel Fontaine (R)	X				100.00	77	71	90	51	71	58	61	50	63	47	46	64	44	50	50	54	50	0	0	23	3	736,667$
6	Mason Shaw (R)	X				100.00	71	64	86	58	64	62	64	55	69	48	57	60	54	44	44	58	50	0	0	21	3	925,000$
7	Philipp Kurashev (R)	X				100.00	77	70	92	66	70	64	66	59	74	57	57	64	54	44	44	62	50	0	0	20	3	925,000$
8	Dennis Gilbert				X	100.00	99	99	52	61	77	67	74	58	25	49	48	81	25	46	46	61	50	0	0	23	3	987,500$
9	Oscar Fantenberg				X	100.00	84	45	94	76	73	68	67	60	25	51	48	86	25	58	59	63	43	0	0	28	3	900,000$
10	Frederic Allard (R)				X	100.00	73	66	90	61	66	73	79	51	25	46	40	62	38	50	50	54	50	0	0	22	3	921,666$
11	Korbinian Holzer				X	100.00	85	58	78	68	79	69	61	56	25	45	47	86	25	61	61	61	50	0	0	32	3	875,000$
12	Zach Redmond				X	100.00	79	76	87	65	76	71	76	55	25	51	41	68	39	59	59	57	50	0	0	31	1	612,500$
13	Ben Harpur				X	100.00	81	85	72	65	85	61	64	51	25	44	39	68	37	59	59	54	50	0	0	25	4	725,000$
Rayé
1	Carl Grundstrom		X	X		100.00	87	45	82	76	70	63	79	63	25	75	55	59	25	46	46	65	56	0	0	22	2	925,000$

	MOYENNE D'ÉQUIPE					100.00	79	65	83	65	72	64	69	56	38	52	51	68	40	52	52	60	50	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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Brian Elliott	100.00	63	62	63	80	67	59	64	64	64	63	76	71	73	64	48	0	0
2	Thomas Greiss	100.00	77	70	69	83	80	74	72	79	83	77	95	65	66	76	35	0	0
Rayé
1	Christopher Gibson	100.00	60	63	79	72	62	65	53	63	61	59	30	45	45	60	50	0	0

	MOYENNE D'ÉQUIPE	100.00	67	65	70	78	70	66	63	69	69	66	67	60	61	67	44	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Joel Bouchard	70	69	64	75	70	65	80	CAN	48	3	900,000$

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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	P/20	PSS	FL	FT	S1	S2	S3
1	Philipp Kurashev	Condors (EDM)	C	45	18	15	33	5	55	5	84	73	78	12	51	23.08%	5	772	17.17	9	6	15	24	198	0	0	0	0	34	3	0	57.27%	777	0.85	0	0	1	5	3	2
2	Dennis Gilbert	Condors (EDM)	D	45	3	20	23	-10	132	10	161	50	49	17	34	6.12%	41	915	20.34	3	10	13	36	193	0	0	0	1	170	1	1	0.00%	0	0.50	0	1	1	1	2	1
3	Dennis Yan	Condors (EDM)	LW	45	8	13	21	-6	41	5	58	37	63	14	42	12.70%	6	692	15.38	1	5	6	7	53	0	0	0	0	9	1	0	45.45%	44	0.61	0	0	0	1	0	1
4	Korbinian Holzer	Condors (EDM)	D	45	3	17	20	-13	62	0	103	56	73	21	60	4.11%	68	1007	22.39	2	10	12	60	218	0	1	1	1	199	1	0	0.00%	0	0.40	0	0	0	0	0	2
5	Mason Marchment	Condors (EDM)	LW	45	9	10	19	-1	52	0	91	44	60	20	40	15.00%	7	634	14.10	1	2	3	3	16	1	0	1	3	101	4	1	33.33%	57	0.60	0	0	0	0	4	3
6	Ben Harpur	Condors (EDM)	D	45	4	14	18	3	62	0	79	18	20	7	9	20.00%	26	778	17.29	3	2	5	15	85	0	0	0	1	110	0	0	0.00%	0	0.46	0	0	0	2	0	0
7	Brian Gibbons	Condors (EDM)	C/LW	45	3	11	14	-2	22	0	29	62	56	19	44	5.36%	5	790	17.57	1	1	2	15	198	0	0	0	2	67	0	0	35.19%	54	0.35	1	0	0	0	2	0
8	Matt Luff	Condors (EDM)	RW	45	9	4	13	-3	36	0	45	42	58	11	42	15.52%	1	878	19.52	0	1	1	20	194	0	0	0	0	133	1	0	23.53%	51	0.30	0	0	0	0	2	3
9	Zach Redmond	Condors (EDM)	D	45	2	11	13	-15	18	0	17	52	32	9	11	6.25%	26	976	21.71	1	8	9	26	206	0	0	0	1	213	0	0	0.00%	0	0.27	0	0	0	0	0	2
10	Brandon Pirri	Oilers	C/LW/RW	36	2	8	10	-13	24	0	39	40	45	14	39	4.44%	4	761	21.16	1	4	5	18	167	0	0	0	1	164	0	0	54.07%	172	0.26	1	0	0	0	0	0
11	Mason Shaw	Condors (EDM)	C	45	6	3	9	-6	12	0	10	25	33	8	21	18.18%	3	388	8.63	2	0	2	7	52	0	0	0	0	0	1	0	59.87%	152	0.46	0	0	0	0	0	1
12	Frederic Allard	Condors (EDM)	D	45	0	4	4	4	56	0	71	26	8	2	11	0.00%	38	767	17.06	0	1	1	3	28	0	0	0	0	105	0	0	0.00%	0	0.10	0	0	0	0	0	0
13	Gabriel Fontaine	Condors (EDM)	C	45	0	4	4	-1	16	0	19	22	11	3	16	0.00%	5	386	8.59	0	3	3	1	54	0	1	1	0	75	0	0	49.32%	73	0.21	0	0	0	0	0	0
14	Jayce Hawryluk	Oilers	C/RW	17	2	2	4	-11	22	0	54	42	19	4	20	10.53%	0	369	21.76	2	1	3	5	83	0	0	0	0	78	0	0	36.52%	408	0.22	0	0	0	1	0	0
Stats d'équipe Total ou en Moyenne				593	69	136	205	-69	610	20	860	589	605	161	440	11.40%	235	10120	17.07	26	54	80	240	1752	1	2	3	10	1467	12	2	49.44%	1788	0.41	2	1	2	10	13	15

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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	A	PS %	PSA	ST	BG	S1	S2	S3
1	Brian Elliott	Condors (EDM)	29	12	15	1	0.894	1.93	1710	2	5	55	517	1	0.667	3	28	14	3	1	2
2	Christopher Gibson	Condors (EDM)	11	1	9	1	0.848	3.33	631	0	0	35	230	0	0.000	0	11	25	0	0	0
Stats d'équipe Total ou en Moyenne			40	13	24	2	0.880	2.31	2342	2	5	90	747	1	0.667	3	39	39	3	1	2

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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	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	Link
Ben Harpur	Condors (EDM)	D	25	1995-01-12	No	222 Lbs	6 ft6	No	No	No	4	Pro & Farm	725,000$	321,573$	725,000$	321,573$	0$	0$	No	725,000$	725,000$	725,000$	Lien
Brian Elliott	Condors (EDM)	G	35	1985-04-09	No	209 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,000,000$	443,548$	1,000,000$	443,548$	0$	0$	No				Lien
Brian Gibbons	Condors (EDM)	C/LW	32	1988-02-05	No	175 Lbs	5 ft8	No	No	No	1	Pro & Farm	1,000,000$	443,548$	1,000,000$	443,548$	0$	0$	No				Lien
Carl Grundstrom	Condors (EDM)	LW/RW	22	1997-12-01	No	194 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	410,282$	450,000$	199,597$	0$	0$	No	925,000$			Lien
Christopher Gibson	Condors (EDM)	G	27	1992-12-27	No	188 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,000,000$	443,548$	1,000,000$	443,548$	0$	0$	No				Lien
Dennis Gilbert	Condors (EDM)	D	23	1996-10-30	No	198 Lbs	6 ft2	No	No	No	3	Pro & Farm	987,500$	438,004$	925,000$	410,282$	0$	0$	No	925,000$	925,000$		Lien
Dennis Yan	Condors (EDM)	LW	23	1997-04-14	Yes	197 Lbs	6 ft1	No	No	No	3	Pro & Farm	935,833$	415,087$	935,833$	415,087$	0$	0$	No	935,833$	935,833$
Frederic Allard	Condors (EDM)	D	22	1997-12-27	Yes	179 Lbs	6 ft1	No	No	No	3	Pro & Farm	921,666$	408,803$	921,666$	408,803$	0$	0$	No	921,666$	921,666$
Gabriel Fontaine	Condors (EDM)	C	23	1997-04-30	Yes	191 Lbs	6 ft1	No	No	No	3	Pro & Farm	736,667$	326,747$	736,667$	326,747$	0$	0$	No	736,667$	736,667$
Korbinian Holzer	Condors (EDM)	D	32	1988-02-16	No	214 Lbs	6 ft3	No	No	No	3	Pro & Farm	875,000$	388,105$	850,000$	377,016$	0$	0$	No	850,000$	850,000$		Lien
Mason Marchment	Condors (EDM)	LW	25	1995-03-06	No	204 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,000,000$	443,548$	1,000,000$	443,548$	0$	0$	No				Lien
Mason Shaw	Condors (EDM)	C	21	1998-11-02	Yes	180 Lbs	5 ft9	No	No	No	3	Pro & Farm	925,000$	410,282$	925,000$	410,282$	0$	0$	No	925,000$	925,000$
Matt Luff	Condors (EDM)	RW	23	1997-05-04	No	188 Lbs	6 ft3	No	No	No	2	Pro & Farm	677,777$	300,627$	677,777$	300,627$	0$	0$	No	677,777$			Lien
Oscar Fantenberg	Condors (EDM)	D	28	1991-10-07	No	203 Lbs	6 ft0	No	No	No	3	Pro & Farm	900,000$	399,194$	850,000$	377,016$	0$	0$	No	850,000$	850,000$		Lien
Philipp Kurashev	Condors (EDM)	C	20	1999-10-12	Yes	192 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	410,282$	925,000$	410,282$	0$	0$	No	925,000$	925,000$
Thomas Greiss	Condors (EDM)	G	34	1986-01-29	No	227 Lbs	6 ft1	No	No	No	1	Pro & Farm	3,333,333$	1,478,494$	3,333,333$	1,478,494$	0$	0$	No				Lien
Zach Redmond	Condors (EDM)	D	31	1988-07-25	No	208 Lbs	6 ft2	No	No	No	1	Pro & Farm	612,500$	271,673$	612,500$	271,673$	0$	0$	No				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
17	26.24	198 Lbs	6 ft1	2.24	1,028,252$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brian Gibbons		Matt Luff	35	1	2	2
2	Dennis Yan	Philipp Kurashev	Mason Shaw	30	1	2	2
3	Mason Marchment		Gabriel Fontaine	25	1	2	2
4		Mason Shaw	Matt Luff	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Korbinian Holzer	Zach Redmond	35	1	2	2
2	Dennis Gilbert	Ben Harpur	30	1	2	2
3	Frederic Allard		25	1	2	2
4	Korbinian Holzer	Zach Redmond	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brian Gibbons		Matt Luff	60	1	2	2
2	Dennis Yan	Philipp Kurashev	Mason Shaw	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Korbinian Holzer	Zach Redmond	60	1	2	2
2	Dennis Gilbert	Ben Harpur	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Matt Luff	60	1	2	2
2	Philipp Kurashev	Brian Gibbons	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Korbinian Holzer	Zach Redmond	60	1	2	2
2	Dennis Gilbert	Ben Harpur	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2	Korbinian Holzer	Zach Redmond	60	1	2	2
2	Matt Luff	40	1	2	2	Dennis Gilbert	Ben Harpur	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Matt Luff	60	1	2	2
2	Philipp Kurashev	Brian Gibbons	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Korbinian Holzer	Zach Redmond	60	1	2	2
2	Dennis Gilbert	Ben Harpur	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brian Gibbons		Matt Luff	Korbinian Holzer	Zach Redmond

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brian Gibbons		Matt Luff	Korbinian Holzer	Zach Redmond

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Mason Marchment, Gabriel Fontaine	, Mason Marchment	Gabriel Fontaine

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Frederic Allard, Dennis Gilbert, Ben Harpur	Frederic Allard	Dennis Gilbert, Ben Harpur

Tirs de Pénalité
, Matt Luff, Philipp Kurashev, Brian Gibbons,

Gardien
#1 : , #2 : Brian Elliott

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	Admirals	8	2	5	0	0	0	0	1	14	22	-8	4	2	2	0	0	0	0	0	8	9	-1	4	0	3	0	0	0	0	1	6	13	-7	5	0.313	14	24	38	0	0	34	27	23	0	145	273	232	247	5	147	47	106	172	56	9	16.07%	46	6	86.96%	0	570	1199	47.54%	532	1245	42.73%	296	639	46.32%	983	642	1155	351	567	276
2	Flames	5	1	4	0	0	0	0	0	7	13	-6	3	0	3	0	0	0	0	0	2	8	-6	2	1	1	0	0	0	0	0	5	5	0	2	0.200	7	13	20	0	1	34	27	23	0	69	273	232	247	5	91	36	79	98	27	0	0.00%	34	3	91.18%	0	570	1199	47.54%	532	1245	42.73%	296	639	46.32%	983	642	1155	351	567	276
3	IceHogs	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	3	4	7	0	0	34	27	23	0	33	273	232	247	5	36	8	32	42	8	0	0.00%	14	4	71.43%	0	570	1199	47.54%	532	1245	42.73%	296	639	46.32%	983	642	1155	351	567	276
4	Monarchs	6	2	4	0	0	0	0	0	10	15	-5	3	2	1	0	0	0	0	0	6	5	1	3	0	3	0	0	0	0	0	4	10	-6	4	0.333	10	20	30	0	1	34	27	23	0	106	273	232	247	5	132	31	92	102	30	2	6.67%	44	8	81.82%	0	570	1199	47.54%	532	1245	42.73%	296	639	46.32%	983	642	1155	351	567	276
5	Moose	6	3	3	0	0	0	0	0	9	11	-2	2	0	2	0	0	0	0	0	2	6	-4	4	3	1	0	0	0	0	0	7	5	2	6	0.500	9	16	25	0	1	34	27	23	0	75	273	232	247	5	107	34	89	107	46	5	10.87%	40	7	82.50%	0	570	1199	47.54%	532	1245	42.73%	296	639	46.32%	983	642	1155	351	567	276
6	Rampage	1	1	0	0	0	0	0	0	5	0	5	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	0	5	2	1.000	5	8	13	0	1	34	27	23	0	23	273	232	247	5	20	12	10	17	6	2	33.33%	5	0	100.00%	0	570	1199	47.54%	532	1245	42.73%	296	639	46.32%	983	642	1155	351	567	276
7	Rocket	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	34	27	23	0	19	273	232	247	5	26	8	14	18	5	2	40.00%	6	1	83.33%	0	570	1199	47.54%	532	1245	42.73%	296	639	46.32%	983	642	1155	351	567	276
8	Sharks	7	1	5	0	0	1	0	0	11	17	-6	3	0	3	0	0	0	0	0	3	8	-5	4	1	2	0	0	1	0	0	8	9	-1	3	0.214	11	20	31	0	1	34	27	23	0	112	273	232	247	5	145	43	112	167	39	3	7.69%	55	4	92.73%	0	570	1199	47.54%	532	1245	42.73%	296	639	46.32%	983	642	1155	351	567	276
9	Soldiers	4	2	2	0	0	0	0	0	12	13	-1	3	1	2	0	0	0	0	0	7	9	-2	1	1	0	0	0	0	0	0	5	4	1	4	0.500	12	22	34	0	0	34	27	23	0	78	273	232	247	5	61	26	50	87	29	5	17.24%	21	4	80.95%	1	570	1199	47.54%	532	1245	42.73%	296	639	46.32%	983	642	1155	351	567	276
10	Sound Tigers	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	4	0	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	1	34	27	23	0	21	273	232	247	5	16	5	6	28	5	2	40.00%	2	0	100.00%	0	570	1199	47.54%	532	1245	42.73%	296	639	46.32%	983	642	1155	351	567	276
11	Stars	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	34	27	23	0	16	273	232	247	5	21	3	6	28	7	1	14.29%	2	0	100.00%	0	570	1199	47.54%	532	1245	42.73%	296	639	46.32%	983	642	1155	351	567	276
	Total	45	14	29	0	0	1	0	1	84	113	-29	22	7	15	0	0	0	0	0	38	55	-17	23	7	14	0	0	1	0	1	46	58	-12	30	0.333	84	151	235	0	6	34	27	23	0	754	273	232	247	5	864	273	667	916	272	33	12.13%	296	41	86.15%	1	570	1199	47.54%	532	1245	42.73%	296	639	46.32%	983	642	1155	351	567	276
12	Wolf Pack	2	0	2	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	2	4	6	0	0	34	27	23	0	34	273	232	247	5	52	13	42	34	8	1	12.50%	21	3	85.71%	0	570	1199	47.54%	532	1245	42.73%	296	639	46.32%	983	642	1155	351	567	276
13	Wolves	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	34	27	23	0	23	273	232	247	5	10	7	29	16	6	1	16.67%	6	1	83.33%	0	570	1199	47.54%	532	1245	42.73%	296	639	46.32%	983	642	1155	351	567	276
	_Since Last GM Reset	45	14	29	0	0	1	0	1	84	113	-29	22	7	15	0	0	0	0	0	38	55	-17	23	7	14	0	0	1	0	1	46	58	-12	30	0.333	84	151	235	0	6	34	27	23	0	754	273	232	247	5	864	273	667	916	272	33	12.13%	296	41	86.15%	1	570	1199	47.54%	532	1245	42.73%	296	639	46.32%	983	642	1155	351	567	276
	_Vs Conference	37	12	23	0	0	1	0	1	71	90	-19	17	6	11	0	0	0	0	0	31	40	-9	20	6	12	0	0	1	0	1	40	50	-10	26	0.351	71	127	198	0	5	34	27	23	0	632	273	232	247	5	695	216	532	766	232	30	12.93%	235	34	85.53%	1	570	1199	47.54%	532	1245	42.73%	296	639	46.32%	983	642	1155	351	567	276
	_Vs Division	32	9	17	0	0	1	0	1	51	78	-27	15	5	8	0	0	0	0	0	21	36	-15	17	4	9	0	0	1	0	1	30	42	-12	20	0.313	51	93	144	0	4	34	27	23	0	507	273	232	247	5	622	191	478	646	198	19	9.60%	219	28	87.21%	0	570	1199	47.54%	532	1245	42.73%	296	639	46.32%	983	642	1155	351	567	276

			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
45	30	W1	84	151	235	754	864	273	667	916	0	6

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
45	14	29	0	1	0	1	84	113

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	7	15	0	0	0	0	38	55

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	7	14	0	1	0	1	46	58

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	6	0	1	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
272	33	12.13%	296	41	86.15%	1

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
273	232	247	5	34	27	23	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
570	1199	47.54%	532	1245	42.73%	296	639	46.32%

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
983	642	1155	351	567	276

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	Lien
1 - 2020-09-27	7	Condors	2	IceHogs	4	L			Sommaire du Match
2 - 2020-09-28	20	Moose	4	Condors	2	L			Sommaire du Match
4 - 2020-09-30	32	Flames	4	Condors	1	L			Sommaire du Match
5 - 2020-10-01	42	Condors	2	Admirals	3	L			Sommaire du Match
6 - 2020-10-02	46	Condors	3	Monarchs	7	L			Sommaire du Match
8 - 2020-10-04	59	Condors	2	Flames	0	W			Sommaire du Match
10 - 2020-10-06	68	Admirals	2	Condors	4	W			Sommaire du Match
12 - 2020-10-08	78	Monarchs	2	Condors	3	W			Sommaire du Match
14 - 2020-10-10	92	Condors	2	Moose	1	W			Sommaire du Match
16 - 2020-10-12	106	Sharks	1	Condors	0	L			Sommaire du Match
18 - 2020-10-14	118	Monarchs	3	Condors	1	L			Sommaire du Match
21 - 2020-10-17	132	Soldiers	3	Condors	1	L			Sommaire du Match
22 - 2020-10-18	144	Condors	2	Moose	0	W			Sommaire du Match
23 - 2020-10-19	150	Condors	1	Admirals	4	L			Sommaire du Match
24 - 2020-10-20	162	Condors	1	Sharks	2	L			Sommaire du Match
25 - 2020-10-21	165	Condors	0	Monarchs	1	L			Sommaire du Match
26 - 2020-10-22	175	Admirals	1	Condors	2	W			Sommaire du Match
28 - 2020-10-24	193	Flames	2	Condors	1	L			Sommaire du Match
30 - 2020-10-26	204	Condors	1	Stars	2	L			Sommaire du Match
32 - 2020-10-28	213	Condors	2	Moose	1	W			Sommaire du Match
34 - 2020-10-30	221	Sharks	4	Condors	1	L			Sommaire du Match
36 - 2020-11-01	233	Sharks	3	Condors	2	L			Sommaire du Match
38 - 2020-11-03	246	Condors	2	Wolves	3	L			Sommaire du Match
40 - 2020-11-05	254	Flames	2	Condors	0	L			Sommaire du Match
42 - 2020-11-07	267	Condors	5	Rampage	0	W			Sommaire du Match
44 - 2020-11-09	277	IceHogs	3	Condors	1	L			Sommaire du Match
45 - 2020-11-10	288	Condors	5	Soldiers	4	W			Sommaire du Match
46 - 2020-11-11	297	Sound Tigers	0	Condors	4	W			Sommaire du Match
48 - 2020-11-13	313	Monarchs	0	Condors	2	W			Sommaire du Match
49 - 2020-11-14	322	Condors	1	Sharks	3	L			Sommaire du Match
51 - 2020-11-16	335	Condors	2	Admirals	3	L	X	X	Sommaire du Match
52 - 2020-11-17	345	Admirals	4	Condors	1	L			Sommaire du Match
53 - 2020-11-18	359	Soldiers	4	Condors	3	L			Sommaire du Match
54 - 2020-11-19	367	Condors	1	Admirals	3	L			Sommaire du Match
55 - 2020-11-20	378	Admirals	2	Condors	1	L			Sommaire du Match
56 - 2020-11-21	387	Condors	3	Flames	5	L			Sommaire du Match
58 - 2020-11-23	398	Condors	1	Monarchs	2	L			Sommaire du Match
59 - 2020-11-24	412	Soldiers	2	Condors	3	W			Sommaire du Match
61 - 2020-11-26	425	Moose	2	Condors	0	L			Sommaire du Match
62 - 2020-11-27	433	Condors	1	Wolf Pack	3	L			Sommaire du Match
64 - 2020-11-29	445	Wolf Pack	4	Condors	1	L			Sommaire du Match
65 - 2020-11-30	453	Condors	3	Sharks	4	L	X		Sommaire du Match
66 - 2020-12-01	466	Rocket	3	Condors	4	W			Sommaire du Match
68 - 2020-12-03	481	Condors	1	Moose	3	L			Sommaire du Match
69 - 2020-12-04	488	Condors	3	Sharks	0	W			Sommaire du Match
71 - 2020-12-06	500	Monsters	-	Condors	-
72 - 2020-12-07	510	Condors	-	Monsters	-
74 - 2020-12-09	521	Senators	-	Condors	-
75 - 2020-12-10	533	Condors	-	Soldiers	-
76 - 2020-12-11	543	Bruins	-	Condors	-
78 - 2020-12-13	556	Condors	-	Phantoms	-
79 - 2020-12-14	564	Sound Tigers	-	Condors	-
80 - 2020-12-15	574	Condors	-	IceHogs	-
81 - 2020-12-16	584	Rampage	-	Condors	-
83 - 2020-12-18	597	Condors	-	Bruins	-
85 - 2020-12-20	609	IceHogs	-	Condors	-
86 - 2020-12-21	617	Condors	-	Wolves	-
87 - 2020-12-22	627	Monarchs	-	Condors	-
89 - 2020-12-24	641	Condors	-	Sound Tigers	-
91 - 2020-12-26	651	Sharks	-	Condors	-
93 - 2020-12-28	668	Griffins	-	Condors	-
94 - 2020-12-29	675	Condors	-	Rocket	-
95 - 2020-12-30	688	Penguins	-	Condors	-
96 - 2020-12-31	697	Condors	-	Crunch	-
97 - 2021-01-01	709	Crunch	-	Condors	-
99 - 2021-01-03	720	Condors	-	Penguins	-
100 - 2021-01-04	732	Flames	-	Condors	-
101 - 2021-01-05	738	Condors	-	Stars	-
103 - 2021-01-07	753	Wolves	-	Condors	-
104 - 2021-01-08	759	Condors	-	Monarchs	-
105 - 2021-01-09	775	Condors	-	Marlies	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10	784	Condors	-	Senators	-
107 - 2021-01-11	792	Soldiers	-	Condors	-
109 - 2021-01-13	806	Stars	-	Condors	-
110 - 2021-01-14	815	Condors	-	Griffins	-
112 - 2021-01-16	827	Phantoms	-	Condors	-
114 - 2021-01-18	842	Moose	-	Condors	-
117 - 2021-01-21	862	Marlies	-	Condors	-
118 - 2021-01-22	872	Condors	-	Flames	-
120 - 2021-01-24	884	Moose	-	Condors	-
121 - 2021-01-25	892	Condors	-	Flames	-
122 - 2021-01-26	898	Condors	-	Rampage	-

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
19	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
1,452,880$	1,748,028$	1,686,778$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	952,078$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	55	21,355$	1,174,525$

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