OTHL - 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	Corey Perry		X	X		100.00	76	66	67	74	80	65	74	74	36	73	59	58	62	87	93	65	50	67	0	36	1	8,150,000$
2	Adam Gaudette	X				100.00	65	52	82	77	65	62	83	66	70	78	72	54	25	57	57	70	50	66	0	24	2	1,491,666$
3	Joey Anderson			X		100.00	73	43	96	76	69	64	72	60	45	60	73	84	25	49	49	73	50	66	0	22	2	925,000$
4	Buddy Robinson			X		100.00	83	91	64	66	91	72	75	64	50	56	66	71	63	55	55	66	50	65	0	29	3	1,000,000$
5	John Hayden		X	X		100.00	85	99	53	73	85	54	66	57	32	52	58	73	25	59	59	62	50	61	0	26	1	925,000$
6	Rhett Gardner (R)	X	X			100.00	82	83	81	68	83	69	73	57	71	54	56	66	53	44	44	61	50	61	0	25	3	925,000$
7	Eric Robinson		X	X		100.00	81	45	91	62	75	57	78	64	35	60	66	59	25	51	51	65	50	61	0	25	2	975,000$
8	Givani Smith (R)		X	X		100.00	85	76	87	66	76	54	78	70	25	55	59	61	25	45	45	63	50	60	0	23	3	913,333$
9	Patrick Brown	X		X		100.00	80	77	87	72	77	77	83	53	66	51	50	65	48	46	47	59	50	60	0	28	2	725,000$
10	Marian Studenic			X		100.00	69	62	84	60	62	65	68	57	50	50	60	60	57	44	44	61	50	57	0	22	3	925,000$
11	Max Willman (R)	X				100.00	71	67	79	60	67	53	53	54	68	53	51	60	48	44	44	56	50	55	0	26	3	750,000$
12	Dennis Gilbert				X	100.00	99	99	52	61	77	67	74	58	25	49	48	81	25	46	46	61	50	65	0	24	2	925,000$
13	Jeremy Lauzon				X	100.00	82	78	59	65	75	67	72	53	25	44	48	77	25	53	53	59	50	63	0	24	2	871,666$
14	Brian Lashoff				X	100.00	81	82	78	68	82	66	72	48	25	35	41	68	39	63	64	53	50	62	0	30	3	825,000$
15	Zach Whitecloud				X	100.00	67	43	91	62	76	64	80	57	25	45	47	63	25	45	45	57	50	59	0	24	1	1,491,666$
16	Jordan Schmaltz				X	100.00	75	72	82	68	72	63	67	51	25	45	41	63	39	49	49	54	50	59	0	27	1	1,208,333$
Rayé
1	Christopher Brown (R)	X				100.00	72	65	88	56	65	50	52	44	55	38	44	58	42	44	44	50	50	50	0	25	3	750,000$

	MOYENNE D'ÉQUIPE					100.00	78	71	78	67	75	63	72	58	43	53	55	66	38	52	52	61	50	61

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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	Zane McIntyre	100.00	59	67	84	79	58	63	53	62	59	58	30	44	44	60	50	60	0
2	Kaden Fulcher (R)	100.00	43	55	69	74	40	44	40	46	40	40	30	44	44	44	50	48	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	51	61	77	77	49	54	47	54	50	49	30	44	44	52	50	54

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dan Bylsma	53	46	51	63	65	82	60	USA	49	2	600,000$

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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

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#	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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Nick Schmaltz	Oilers	C/LW/RW	76	46	70	116	76	12	0	17	209	246	68	187	18.70%	7	1795	23.62	4	12	16	33	245	1	3	4	13	359	10	1	64.28%	1761	1	1	1.29	1	4	0	0	0	12	10	3
2	Adam Gaudette	Condors (EDM)	C	82	34	65	99	65	8	0	31	155	272	71	188	12.50%	7	1605	19.58	3	14	17	42	243	2	1	3	15	249	3	2	68.80%	1561	0	1	1.23	1	3	0	0	0	5	8	11
3	Buddy Robinson	Condors (EDM)	RW	82	44	44	88	66	175	15	171	73	305	90	206	14.43%	8	1303	15.90	7	10	17	44	248	0	0	0	0	0	7	2	59.46%	74	0	2	1.35	1	2	2	1	0	9	2	5
4	Corey Perry	Condors (EDM)	LW/RW	82	27	59	86	74	132	10	220	111	212	47	154	12.74%	10	1609	19.62	5	10	15	42	279	2	4	6	9	369	5	1	62.99%	127	0	0	1.07	1	4	0	0	1	4	4	9
5	John Hayden	Condors (EDM)	LW/RW	82	31	49	80	70	107	15	168	83	214	44	159	14.49%	6	1166	14.23	0	2	2	9	67	0	0	0	2	67	3	1	51.24%	121	0	0	1.37	0	0	0	0	3	2	7	3
6	Givani Smith	Condors (EDM)	LW/RW	82	30	45	75	68	30	0	39	78	192	49	130	15.63%	3	1147	13.99	0	1	1	0	10	4	0	4	9	148	2	1	48.31%	118	0	1	1.31	0	0	0	0	0	5	4	5
7	Eric Robinson	Condors (EDM)	LW/RW	82	31	43	74	66	30	0	59	45	183	57	126	16.94%	4	1315	16.05	5	6	11	27	238	0	0	0	0	4	4	1	58.21%	67	0	0	1.12	0	0	0	0	0	4	5	7
8	Rhett Gardner	Condors (EDM)	C/LW	82	23	38	61	64	68	10	56	98	127	35	100	18.11%	5	1068	13.03	1	0	1	1	36	1	0	1	5	90	4	1	70.70%	819	0	1	1.14	1	1	2	0	0	3	3	3
9	Dennis Gilbert	Condors (EDM)	D	82	19	37	56	66	222	40	300	56	100	32	73	19.00%	72	1825	22.26	4	7	11	48	260	0	2	2	0	296	3	2	0.00%	0	0	0	0.61	0	0	1	5	2	5	2	4
10	Jeremy Lauzon	Condors (EDM)	D	82	10	46	56	66	104	0	222	57	112	37	90	8.93%	85	1709	20.85	6	6	12	52	253	0	5	5	2	321	1	1	0.00%	0	0	0	0.66	0	0	0	0	0	1	4	3
11	Joey Anderson	Condors (EDM)	RW	40	30	23	53	38	21	5	20	48	129	50	83	23.26%	7	668	16.72	3	4	7	22	122	1	0	1	5	111	3	1	73.08%	26	0	3	1.59	1	1	0	0	1	6	3	4
12	Zach Whitecloud	Condors (EDM)	D	82	8	32	40	94	44	0	62	23	47	17	23	17.02%	42	1331	16.23	0	0	0	4	33	0	1	1	0	179	1	0	0.00%	0	0	0	0.60	0	0	0	0	0	1	2	0
13	Jordan Schmaltz	Condors (EDM)	D	82	5	25	30	92	97	5	177	21	37	12	22	13.51%	26	1277	15.58	0	1	1	10	66	0	0	0	0	81	0	0	100.00%	1	0	0	0.47	0	0	0	1	0	1	0	3
14	Patrick Brown	Condors (EDM)	C/RW	82	5	19	24	17	39	5	52	58	69	18	51	7.25%	1	520	6.35	0	0	0	1	2	0	0	0	0	3	1	0	66.20%	361	0	0	0.92	0	0	0	0	0	0	0	1
15	Brian Lashoff	Condors (EDM)	D	82	5	16	21	64	68	10	91	42	70	21	32	7.14%	58	1669	20.36	2	4	6	37	249	0	1	1	0	312	1	1	0.00%	0	0	0	0.25	0	0	1	0	1	0	2	0
16	Marian Studenic	Condors (EDM)	RW	65	7	6	13	10	8	0	21	15	49	14	44	14.29%	2	406	6.26	0	0	0	0	1	0	0	0	0	0	4	0	68.75%	16	0	0	0.64	0	1	0	0	0	0	1	1
Stats d'équipe Total ou en Moyenne				1247	355	617	972	996	1165	115	1706	1172	2364	662	1668	15.02%	343	20422	16.38	40	77	117	372	2360	11	17	28	60	2594	52	15	66.05%	5052	1	9	0.95	6	16	6	7	8	58	57	62

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	PS %	PSA	ST	BG	S2
1	Zane McIntyre	Condors (EDM)	82	60	15	6	0.873	2.02	4864	2	12	164	1287	0.733	15	82	0	1
2	Kaden Fulcher	Condors (EDM)	3	1	0	0	0.857	1.43	84	0	0	2	14	1.000	3	0	82	0
Stats d'équipe Total ou en Moyenne			85	61	15	6	0.872	2.01	4949	2	12	166	1301	0.778	18	82	82	1

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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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Adam Gaudette	Condors (EDM)	C	24	1996-10-02	No	170 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,491,666$	0$	0$	No	1,491,666$		Lien / Lien NHL
Brian Lashoff	Condors (EDM)	D	30	1990-07-15	No	221 Lbs	6 ft3	Yes	No	No	3	Pro & Farm	825,000$	0$	0$	No	825,000$	825,000$	Lien / Lien NHL
Buddy Robinson	Condors (EDM)	RW	29	1991-09-30	No	232 Lbs	6 ft6	Yes	No	No	3	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	Lien / Lien NHL
Christopher Brown	Condors (EDM)	C	25	1996-02-22	Yes	179 Lbs	6 ft0	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Corey Perry	Condors (EDM)	LW/RW	36	1985-05-16	No	213 Lbs	6 ft3	No	No	No	1	Pro & Farm	8,150,000$	0$	0$	No			Lien / Lien NHL
Dennis Gilbert	Condors (EDM)	D	24	1996-10-30	No	198 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien / Lien NHL
Eric Robinson	Condors (EDM)	LW/RW	25	1995-06-14	No	201 Lbs	6 ft2	No	No	No	2	Pro & Farm	975,000$	0$	0$	No	975,000$		Lien / Lien NHL
Givani Smith	Condors (EDM)	LW/RW	23	1998-02-27	Yes	204 Lbs	6 ft2	No	No	No	3	Pro & Farm	913,333$	0$	0$	No	913,333$	913,333$	Lien / Lien NHL
Jeremy Lauzon	Condors (EDM)	D	24	1997-04-28	No	204 Lbs	6 ft1	No	No	No	2	Pro & Farm	871,666$	0$	0$	No	871,666$		Lien / Lien NHL
Joey Anderson	Condors (EDM)	RW	22	1998-06-19	No	190 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien / Lien NHL
John Hayden	Condors (EDM)	LW/RW	26	1995-02-14	No	223 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Jordan Schmaltz	Condors (EDM)	D	27	1993-10-08	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,208,333$	0$	0$	No			Lien / Lien NHL
Kaden Fulcher	Condors (EDM)	G	22	1998-09-23	Yes	183 Lbs	6 ft3	No	No	No	2	Pro & Farm	716,666$	0$	0$	No	716,666$		Lien
Marian Studenic	Condors (EDM)	RW	22	1998-10-28	No	163 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Lien / Lien NHL
Max Willman	Condors (EDM)	C	26	1995-02-13	Yes	183 Lbs	6 ft0	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	Lien
Patrick Brown	Condors (EDM)	C/RW	28	1992-05-29	No	210 Lbs	6 ft1	No	No	No	2	Pro & Farm	725,000$	0$	0$	No	725,000$		Lien / Lien NHL
Rhett Gardner	Condors (EDM)	C/LW	25	1996-02-28	Yes	229 Lbs	6 ft3	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Lien / Lien NHL
Zach Whitecloud	Condors (EDM)	D	24	1996-11-27	No	209 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,491,666$	0$	0$	No			Lien / Lien NHL
Zane McIntyre	Condors (EDM)	G	28	1992-08-20	No	206 Lbs	6 ft2	No	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
19	25.79	200 Lbs	6 ft2	2.21	1,336,491$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Corey Perry			40	1	2	2
2	Eric Robinson	Adam Gaudette	Buddy Robinson	30	1	2	2
3	John Hayden	Rhett Gardner	Givani Smith	20	1	2	2
4		Patrick Brown	Marian Studenic	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Gilbert		40	1	2	2
2	Jeremy Lauzon	Brian Lashoff	30	1	2	2
3	Jordan Schmaltz	Zach Whitecloud	20	1	2	2
4	Dennis Gilbert		10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Corey Perry			60	1	2	2
2	Eric Robinson	Adam Gaudette	Buddy Robinson	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Gilbert		60	1	2	2
2	Jeremy Lauzon	Brian Lashoff	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Corey Perry	60	1	2	2
2	Adam Gaudette		40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Gilbert		60	1	2	2
2	Jeremy Lauzon	Brian Lashoff	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	Dennis Gilbert		60	1	2	2
2	Corey Perry	40	1	2	2	Jeremy Lauzon	Brian Lashoff	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Corey Perry	60	1	2	2
2	Adam Gaudette		40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Gilbert		60	1	2	2
2	Jeremy Lauzon	Brian Lashoff	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Corey Perry			Dennis Gilbert

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Corey Perry			Dennis Gilbert

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
John Hayden, Rhett Gardner, Givani Smith	John Hayden, Rhett Gardner	Givani Smith

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jordan Schmaltz, Zach Whitecloud, Jeremy Lauzon	Jordan Schmaltz	Zach Whitecloud, Jeremy Lauzon

Tirs de Pénalité
, Corey Perry, Adam Gaudette, , Buddy Robinson

Gardien
#1 : Zane McIntyre, #2 : Kaden Fulcher

Lignes d'Attaque Perso. en Prol.
, Corey Perry, Adam Gaudette, , Buddy Robinson, Eric Robinson, Eric Robinson, John Hayden, Rhett Gardner, Givani Smith, Patrick Brown

Lignes de Défense Perso. en Prol.
Dennis Gilbert, , Jeremy Lauzon, Brian Lashoff, Jordan Schmaltz

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	Americans	2	1	1	0	0	0	0	0	4	7	-3	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	0	4	-4	2	0.500	4	8	12	0	0	140	141	88	8	46	725	913	797	34	44	16	37	35	16	2	12.50%	16	1	93.75%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
2	Admirals	3	0	2	0	0	1	0	0	5	11	-6	2	0	2	0	0	0	0	0	3	8	-5	1	0	0	0	0	1	0	0	2	3	-1	1	0.167	5	10	15	0	0	140	141	88	8	68	725	913	797	34	73	27	48	54	9	2	22.22%	22	4	81.82%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
3	Barracudas	4	2	0	0	0	1	0	1	15	9	6	2	2	0	0	0	0	0	0	11	3	8	2	0	0	0	0	1	0	1	4	6	-2	6	0.750	15	25	40	0	0	140	141	88	8	143	725	913	797	34	71	16	49	90	21	1	4.76%	21	0	100.00%	1	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
4	Bears	2	2	0	0	0	0	0	0	12	0	12	1	1	0	0	0	0	0	0	9	0	9	1	1	0	0	0	0	0	0	3	0	3	4	1.000	12	21	33	0	2	140	141	88	8	99	725	913	797	34	14	4	22	43	2	0	0.00%	11	0	100.00%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
5	Bruins	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	3	1	2	4	1.000	7	13	20	0	0	140	141	88	8	33	725	913	797	34	24	6	12	36	13	3	23.08%	5	1	80.00%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
6	Checkers	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	7	3	4	1	0	1	0	0	0	0	0	0	3	-3	2	0.500	7	14	21	0	0	140	141	88	8	64	725	913	797	34	22	6	31	46	6	2	33.33%	12	2	83.33%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
7	Comets	4	2	2	0	0	0	0	0	10	10	0	2	2	0	0	0	0	0	0	6	3	3	2	0	2	0	0	0	0	0	4	7	-3	4	0.500	10	18	28	0	0	140	141	88	8	81	725	913	797	34	63	26	59	86	18	1	5.56%	24	3	87.50%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
8	Crunch	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	5	2	3	4	1.000	9	15	24	0	0	140	141	88	8	59	725	913	797	34	40	16	27	33	3	0	0.00%	11	1	90.91%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
9	Devils	2	0	1	0	0	1	0	0	4	7	-3	1	0	1	0	0	0	0	0	3	5	-2	1	0	0	0	0	1	0	0	1	2	-1	1	0.250	4	7	11	0	0	140	141	88	8	42	725	913	797	34	34	8	45	32	13	0	0.00%	16	2	87.50%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
10	Eagles	3	3	0	0	0	0	0	0	29	4	25	2	2	0	0	0	0	0	0	20	3	17	1	1	0	0	0	0	0	0	9	1	8	6	1.000	29	50	79	0	1	140	141	88	8	153	725	913	797	34	35	4	37	65	6	0	0.00%	15	2	86.67%	1	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
11	Griffins	2	2	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	5	8	13	0	0	140	141	88	8	63	725	913	797	34	29	12	33	52	10	2	20.00%	10	2	80.00%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
12	Gulls	4	3	0	0	0	0	1	0	22	8	14	2	2	0	0	0	0	0	0	11	6	5	2	1	0	0	0	0	1	0	11	2	9	8	1.000	22	36	58	0	1	140	141	88	8	130	725	913	797	34	74	18	44	112	11	3	27.27%	21	3	85.71%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
13	Heat	5	1	2	0	0	1	1	0	9	11	-2	2	1	1	0	0	0	0	0	4	4	0	3	0	1	0	0	1	1	0	5	7	-2	5	0.500	9	14	23	0	0	140	141	88	8	118	725	913	797	34	81	29	71	104	32	3	9.38%	30	6	80.00%	1	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
14	IceHogs	3	1	0	0	1	1	0	0	8	6	2	1	0	0	0	0	1	0	0	3	4	-1	2	1	0	0	1	0	0	0	5	2	3	5	0.833	8	14	22	0	0	140	141	88	8	65	725	913	797	34	65	11	50	65	13	1	7.69%	24	2	91.67%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
15	Marlies	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	5	1	4	4	1.000	7	14	21	0	0	140	141	88	8	43	725	913	797	34	30	10	27	35	15	3	20.00%	10	1	90.00%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
16	Monsters	2	1	0	0	1	0	0	0	7	5	2	1	0	0	0	1	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	13	20	0	0	140	141	88	8	33	725	913	797	34	42	7	36	37	8	2	25.00%	18	4	77.78%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
17	Moose	3	0	2	0	0	0	1	0	11	12	-1	2	0	1	0	0	0	1	0	8	8	0	1	0	1	0	0	0	0	0	3	4	-1	2	0.333	11	17	28	0	0	140	141	88	8	62	725	913	797	34	65	16	68	56	20	2	10.00%	20	6	70.00%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
18	Penguins	2	1	1	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	6	10	16	0	0	140	141	88	8	39	725	913	797	34	39	12	38	47	9	1	11.11%	19	2	89.47%	1	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
19	Phantoms	2	1	1	0	0	0	0	0	9	7	2	1	0	1	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	7	2	5	2	0.500	9	17	26	0	0	140	141	88	8	26	725	913	797	34	38	11	61	38	10	0	0.00%	17	2	88.24%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
20	Rampage	3	3	0	0	0	0	0	0	26	0	26	2	2	0	0	0	0	0	0	20	0	20	1	1	0	0	0	0	0	0	6	0	6	6	1.000	26	47	73	0	3	140	141	88	8	134	725	913	797	34	26	8	12	76	6	2	33.33%	6	0	100.00%	1	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
21	Reign	4	4	0	0	0	0	0	0	22	6	16	2	2	0	0	0	0	0	0	13	3	10	2	2	0	0	0	0	0	0	9	3	6	8	1.000	22	37	59	0	0	140	141	88	8	130	725	913	797	34	43	28	34	83	17	2	11.76%	16	2	87.50%	1	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
22	Roadrunners	4	4	0	0	0	0	0	0	30	7	23	2	2	0	0	0	0	0	0	13	6	7	2	2	0	0	0	0	0	0	17	1	16	8	1.000	30	53	83	0	1	140	141	88	8	132	725	913	797	34	60	18	69	73	12	3	25.00%	25	3	88.00%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
23	Rocket	2	1	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	3	1	2	2	0.500	4	8	12	0	0	140	141	88	8	25	725	913	797	34	29	10	30	33	12	3	25.00%	14	3	78.57%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
24	Senators	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	1	3	4	1.000	8	16	24	0	0	140	141	88	8	66	725	913	797	34	33	7	24	56	12	0	0.00%	9	1	88.89%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
25	Sound Tigers	2	2	0	0	0	0	0	0	18	5	13	1	1	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	9	3	6	4	1.000	18	34	52	0	0	140	141	88	8	94	725	913	797	34	22	7	6	33	5	1	20.00%	3	1	66.67%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
26	Stars	3	3	0	0	0	0	0	0	15	6	9	1	1	0	0	0	0	0	0	6	2	4	2	2	0	0	0	0	0	0	9	4	5	6	1.000	15	28	43	0	0	140	141	88	8	82	725	913	797	34	50	17	60	79	10	0	0.00%	18	0	100.00%	2	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
27	Thunderbirds	2	1	1	0	0	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	6	11	17	0	0	140	141	88	8	26	725	913	797	34	33	13	57	33	9	2	22.22%	14	4	71.43%	0	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
28	Wild	3	3	0	0	0	0	0	0	29	2	27	1	1	0	0	0	0	0	0	9	2	7	2	2	0	0	0	0	0	0	20	0	20	6	1.000	29	55	84	0	2	140	141	88	8	172	725	913	797	34	29	2	22	51	7	0	0.00%	11	0	100.00%	1	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
29	Wolf Pack	2	2	0	0	0	0	0	0	16	0	16	1	1	0	0	0	0	0	0	10	0	10	1	1	0	0	0	0	0	0	6	0	6	4	1.000	16	30	46	0	2	140	141	88	8	104	725	913	797	34	16	7	10	44	3	0	0.00%	5	0	100.00%	1	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
30	Wolves	4	4	0	0	0	0	0	0	14	5	9	2	2	0	0	0	0	0	0	8	3	5	2	2	0	0	0	0	0	0	6	2	4	8	1.000	14	23	37	0	0	140	141	88	8	120	725	913	797	34	77	25	56	86	18	1	5.56%	27	4	85.19%	1	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
	Total	82	56	15	0	2	5	3	1	374	167	207	41	31	7	0	1	1	1	0	210	94	116	41	25	8	0	1	4	2	1	164	73	91	128	0.780	374	666	1040	0	12	140	141	88	8	2452	725	913	797	34	1301	397	1175	1713	346	42	12.14%	470	62	86.81%	11	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
	_Since Last GM Reset	82	56	15	0	2	5	3	1	374	167	207	41	31	7	0	1	1	1	0	210	94	116	41	25	8	0	1	4	2	1	164	73	91	128	0.780	374	666	1040	0	12	140	141	88	8	2452	725	913	797	34	1301	397	1175	1713	346	42	12.14%	470	62	86.81%	11	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517
	_Vs Conference	48	32	7	0	1	4	3	1	239	94	145	24	18	4	0	0	1	1	0	133	55	78	24	14	3	0	1	3	2	1	106	39	67	77	0.802	239	417	656	0	8	140	141	88	8	1555	725	913	797	34	793	235	657	1029	198	22	11.11%	272	33	87.87%	9	1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%	2554	1955	1483	477	915	517

			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
82	128	OTL1	374	666	1040	2452	1301	397	1175	1713	0	12

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	56	15	2	5	3	1	374	167

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	31	7	1	1	1	0	210	94

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	25	8	1	4	2	1	164	73

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
9	0	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
346	42	12.14%	470	62	86.81%	11

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
725	913	797	34	140	141	88	8

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
1579	2351	67.16%	1079	1798	60.01%	839	1234	67.99%

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
2554	1955	1483	477	915	517

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 - 2020-10-24	1	Comets	1	Condors	2	W			Sommaire du Match
4 - 2020-10-27	23	Reign	2	Condors	9	W			Sommaire du Match
7 - 2020-10-30	40	Condors	9	Sound Tigers	3	W			Sommaire du Match
9 - 2020-11-01	52	Condors	1	Devils	2	L	X		Sommaire du Match
11 - 2020-11-03	71	Condors	6	Wolf Pack	0	W			Sommaire du Match
13 - 2020-11-05	80	Condors	3	IceHogs	1	W			Sommaire du Match
15 - 2020-11-07	94	Phantoms	5	Condors	2	L			Sommaire du Match
17 - 2020-11-09	109	Griffins	2	Condors	3	W			Sommaire du Match
19 - 2020-11-11	128	Condors	3	Moose	4	L			Sommaire du Match
21 - 2020-11-13	139	Condors	9	Wild	0	W			Sommaire du Match
23 - 2020-11-15	149	Bears	0	Condors	9	W			Sommaire du Match
26 - 2020-11-18	172	Thunderbirds	3	Condors	5	W			Sommaire du Match
28 - 2020-11-20	183	Condors	2	Griffins	1	W			Sommaire du Match
29 - 2020-11-21	189	Condors	3	Monsters	2	W			Sommaire du Match
32 - 2020-11-24	215	Condors	2	Penguins	3	L			Sommaire du Match
34 - 2020-11-26	222	Roadrunners	4	Condors	6	W			Sommaire du Match
36 - 2020-11-28	235	Rampage	0	Condors	9	W			Sommaire du Match
38 - 2020-11-30	250	Devils	5	Condors	3	L			Sommaire du Match
40 - 2020-12-02	263	Condors	8	Gulls	0	W			Sommaire du Match
42 - 2020-12-04	277	Condors	1	Barracudas	2	L	X		Sommaire du Match
44 - 2020-12-06	288	Eagles	3	Condors	11	W			Sommaire du Match
46 - 2020-12-08	302	Stars	2	Condors	6	W			Sommaire du Match
49 - 2020-12-11	328	Condors	3	Barracudas	4	L	X	X	Sommaire du Match
51 - 2020-12-13	340	Condors	4	Reign	1	W			Sommaire du Match
53 - 2020-12-15	359	Condors	2	Wolves	1	W			Sommaire du Match
54 - 2020-12-16	362	Condors	10	Roadrunners	1	W			Sommaire du Match
57 - 2020-12-19	380	Condors	9	Eagles	1	W			Sommaire du Match
60 - 2020-12-22	407	Comets	2	Condors	4	W			Sommaire du Match
61 - 2020-12-23	418	Condors	1	Comets	3	L			Sommaire du Match
64 - 2020-12-26	434	Senators	2	Condors	4	W			Sommaire du Match
66 - 2020-12-28	448	Reign	1	Condors	4	W			Sommaire du Match
68 - 2020-12-30	464	Americans	3	Condors	4	W			Sommaire du Match
70 - 2021-01-01	475	Checkers	3	Condors	7	W			Sommaire du Match
72 - 2021-01-03	493	Condors	11	Wild	0	W			Sommaire du Match
74 - 2021-01-05	504	Marlies	1	Condors	2	W			Sommaire du Match
76 - 2021-01-07	520	Condors	4	Stars	2	W			Sommaire du Match
78 - 2021-01-09	537	Condors	6	Rampage	0	W			Sommaire du Match
80 - 2021-01-11	548	Penguins	2	Condors	4	W			Sommaire du Match
81 - 2021-01-12	557	Rocket	5	Condors	1	L			Sommaire du Match
83 - 2021-01-14	579	Condors	3	Comets	4	L			Sommaire du Match
87 - 2021-01-18	586	Heat	1	Condors	2	W			Sommaire du Match
91 - 2021-01-22	620	Wolf Pack	0	Condors	10	W			Sommaire du Match
93 - 2021-01-24	629	Condors	0	Americans	4	L			Sommaire du Match
95 - 2021-01-26	642	Condors	3	Bruins	1	W			Sommaire du Match
97 - 2021-01-28	662	Condors	5	Marlies	1	W			Sommaire du Match
100 - 2021-01-31	683	Condors	3	Rocket	1	W			Sommaire du Match
102 - 2021-02-02	694	Condors	3	Heat	2	W	X	X	Sommaire du Match
105 - 2021-02-05	718	Admirals	4	Condors	0	L			Sommaire du Match
109 - 2021-02-09	746	Roadrunners	2	Condors	7	W			Sommaire du Match
120 - 2021-02-20	778	Heat	3	Condors	2	L			Sommaire du Match
122 - 2021-02-22	787	Rampage	0	Condors	11	W			Sommaire du Match
123 - 2021-02-23	794	Condors	0	Heat	2	L			Sommaire du Match
126 - 2021-02-26	812	Condors	7	Roadrunners	0	W			Sommaire du Match
128 - 2021-02-28	830	Barracudas	2	Condors	9	W			Sommaire du Match
130 - 2021-03-02	845	Admirals	4	Condors	3	L			Sommaire du Match
133 - 2021-03-05	870	IceHogs	4	Condors	3	L	X		Sommaire du Match
135 - 2021-03-07	888	Condors	5	Crunch	2	W			Sommaire du Match
137 - 2021-03-09	899	Condors	1	Thunderbirds	5	L			Sommaire du Match
138 - 2021-03-10	907	Condors	0	Checkers	3	L			Sommaire du Match
141 - 2021-03-13	931	Bruins	1	Condors	4	W			Sommaire du Match
143 - 2021-03-15	946	Wild	2	Condors	9	W			Sommaire du Match
145 - 2021-03-17	963	Condors	5	Reign	2	W			Sommaire du Match
147 - 2021-03-19	968	Condors	3	Gulls	2	W	X	X	Sommaire du Match
148 - 2021-03-20	983	Condors	4	Wolves	1	W			Sommaire du Match
151 - 2021-03-23	1000	Moose	4	Condors	5	W	X	X	Sommaire du Match
153 - 2021-03-25	1018	Condors	2	Admirals	3	L	X		Sommaire du Match
154 - 2021-03-26	1020	Condors	5	Stars	2	W			Sommaire du Match
156 - 2021-03-28	1034	Condors	2	IceHogs	1	W	X		Sommaire du Match
158 - 2021-03-30	1051	Monsters	3	Condors	4	W	X		Sommaire du Match
160 - 2021-04-01	1067	Wolves	1	Condors	4	W			Sommaire du Match
162 - 2021-04-03	1081	Moose	4	Condors	3	L			Sommaire du Match
164 - 2021-04-05	1096	Sound Tigers	2	Condors	9	W			Sommaire du Match
166 - 2021-04-07	1113	Condors	7	Phantoms	2	W			Sommaire du Match
167 - 2021-04-08	1122	Condors	3	Bears	0	W			Sommaire du Match
169 - 2021-04-10	1135	Condors	4	Senators	1	W			Sommaire du Match
171 - 2021-04-12	1149	Crunch	2	Condors	4	W			Sommaire du Match
174 - 2021-04-15	1171	Gulls	3	Condors	6	W			Sommaire du Match
176 - 2021-04-17	1187	Eagles	0	Condors	9	W			Sommaire du Match
178 - 2021-04-19	1200	Barracudas	1	Condors	2	W			Sommaire du Match
180 - 2021-04-21	1218	Gulls	3	Condors	5	W			Sommaire du Match
182 - 2021-04-23	1232	Wolves	2	Condors	4	W			Sommaire du Match
186 - 2021-04-27	1260	Condors	2	Heat	3	L	X		Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	70	0
Assistance	52,194	38,801
Assistance PCT	63.65%	94.64%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
0	2219 - 73.98%	89,112$	3,653,580$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
3,724,641$	2,539,334$	2,539,334$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
13,652$	3,124,622$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	16,878$	0$

Afficher ou Masquer des Colonnes

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	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

	Condors
	GP: 82 \| W: 61 \| L: 15 \| OTL: 6 \| P: 128 GF: 374 \| GA: 167 \| PP%: 12.14% \| PK%: 86.81% DG: Scott \| Morale : 50 \| Moyenne d'Équipe : 60