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	Anthony Cirelli	X				100.00	78	43	86	82	67	78	92	67	83	80	75	85	75	64	66	79	50	74	0	24	1	935,833$
2	Luke Kunin	X		X		100.00	75	74	76	83	71	70	87	65	72	70	75	81	25	59	59	76	50	70	0	23	2	1,425,000$
3	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$
4	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$
5	Joey Anderson			X		100.00	73	43	96	76	69	64	72	60	45	60	73	84	25	49	49	73	50	66	0	23	2	925,000$
6	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$
7	Dominic Toninato	X	X	X		100.00	77	56	77	76	75	58	77	59	66	62	59	73	25	59	59	65	50	64	0	27	1	925,000$
8	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$
9	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	26	2	975,000$
10	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$
11	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	29	2	725,000$
12	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$
13	Noah Hanifin				X	100.00	77	44	94	88	77	82	92	70	25	58	49	80	63	66	67	67	50	73	0	24	1	4,000,000$
14	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$
15	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$
16	Brian Lashoff				X	100.00	81	82	78	68	82	66	72	48	25	35	41	68	39	63	64	53	50	62	0	31	3	825,000$
17	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$
18	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	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$

	MOYENNE D'ÉQUIPE					100.00	78	67	78	70	75	64	75	60	45	56	57	69	38	55	55	63	50	63

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	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	P/20	FL	S1	S2	S3
1	Adam Gaudette	Condors (EDM)	C	17	8	10	18	5	0	0	6	24	36	7	18	22.22%	4	329	19.37	1	7	8	9	69	0	0	0	2	60	1	1	51.96%	281	1.09	0	2	2	1
2	Corey Perry	Condors (EDM)	LW/RW	17	4	11	15	5	22	0	25	29	19	7	16	21.05%	1	347	20.45	0	5	5	4	72	0	0	0	1	69	1	1	38.94%	113	0.86	0	1	1	1
3	Dominic Toninato	Condors (EDM)	C/LW/RW	17	4	9	13	1	10	0	20	28	18	4	17	22.22%	1	308	18.14	2	4	6	5	69	0	0	0	0	40	0	0	55.63%	142	0.84	0	0	1	0
4	Dennis Gilbert	Condors (EDM)	D	17	4	7	11	1	53	5	54	9	9	6	9	44.44%	16	380	22.39	3	3	6	6	71	0	0	0	0	72	1	0	0.00%	0	0.58	1	0	1	1
5	Buddy Robinson	Condors (EDM)	RW	17	5	6	11	5	36	0	35	17	34	9	26	14.71%	2	281	16.56	0	1	1	7	39	0	0	0	0	34	0	0	54.72%	53	0.78	0	1	1	0
6	Eric Robinson	Condors (EDM)	LW/RW	17	4	6	10	4	4	0	7	13	27	7	14	14.81%	0	254	14.96	2	3	5	5	39	0	0	0	0	6	2	0	68.75%	16	0.79	0	2	0	2
7	John Hayden	Condors (EDM)	LW/RW	17	5	4	9	5	18	0	23	16	23	3	12	21.74%	1	194	11.44	1	2	3	7	37	0	0	0	0	15	0	0	31.82%	22	0.93	0	0	0	0
8	Jeremy Lauzon	Condors (EDM)	D	17	1	8	9	6	32	0	42	8	15	4	3	6.67%	20	373	21.94	1	1	2	10	69	0	0	0	1	80	0	0	0.00%	0	0.48	0	0	0	0
9	Rhett Gardner	Oilers	C/LW	9	3	6	9	6	4	0	12	17	11	2	11	27.27%	1	150	16.68	0	0	0	1	8	0	0	0	0	17	2	0	44.92%	118	1.20	0	1	2	0
10	Patrick Brown	Condors (EDM)	C/RW	17	5	4	9	5	10	0	11	19	21	3	11	23.81%	0	243	14.33	0	0	0	1	6	0	0	0	0	6	1	0	50.49%	103	0.74	0	0	1	1
11	Noah Hanifin	Condors (EDM)	D	8	2	6	8	-1	0	0	2	6	11	4	9	18.18%	3	196	24.56	2	2	4	9	41	0	1	1	0	39	1	1	0.00%	0	0.81	0	0	0	1
12	Anthony Cirelli	Condors (EDM)	C	8	3	4	7	1	0	0	10	28	25	7	12	12.00%	4	198	24.77	0	1	1	6	40	0	0	0	1	45	1	0	56.65%	263	0.71	0	1	0	0
13	Luke Kunin	Condors (EDM)	C/RW	8	2	4	6	0	6	0	10	9	13	5	12	15.38%	1	168	21.01	1	1	2	4	42	1	0	1	2	43	0	0	35.71%	14	0.71	0	1	0	1
14	Givani Smith	Condors (EDM)	LW/RW	17	4	2	6	8	12	0	9	15	20	4	11	20.00%	3	184	10.84	1	0	1	2	7	0	0	0	1	28	1	1	42.31%	26	0.65	0	1	0	0
15	Joey Anderson	Condors (EDM)	RW	8	0	5	5	-1	0	0	5	18	13	4	7	0.00%	2	157	19.70	0	3	3	6	37	0	0	0	0	23	0	0	42.86%	7	0.63	0	0	0	1
16	Marian Studenic	Oilers	RW	9	0	5	5	12	6	0	15	3	2	0	3	0.00%	4	135	15.01	0	0	0	1	1	0	0	0	0	0	0	0	0.00%	2	0.74	0	0	1	1
17	Zach Whitecloud	Condors (EDM)	D	17	0	4	4	10	12	0	15	7	8	0	3	0.00%	10	288	16.98	0	1	1	2	14	0	0	0	1	44	0	0	0.00%	0	0.28	0	0	0	1
18	Brian Lashoff	Condors (EDM)	D	17	3	1	4	2	16	0	38	10	13	1	1	23.08%	13	352	20.73	3	0	3	10	67	0	0	0	0	76	1	0	0.00%	0	0.23	0	0	0	0
19	Jordan Schmaltz	Condors (EDM)	D	17	1	2	3	0	10	0	25	6	5	2	7	20.00%	16	315	18.58	1	0	1	3	40	0	0	0	0	65	0	0	0.00%	0	0.19	0	0	0	0
20	Max Willman	Condors (EDM)	C	9	0	2	2	1	2	0	3	5	1	3	2	0.00%	0	46	5.12	0	0	0	0	0	0	0	0	0	0	0	0	48.48%	33	0.87	0	0	0	0
Stats d'équipe Total ou en Moyenne				280	58	106	164	75	253	5	367	287	324	82	204	17.90%	102	4906	17.52	18	34	52	98	779	1	1	2	9	771	12	4	50.71%	1193	0.67	1	10	10	11

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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	PCT	GAA	MP	GA	SA	ST	BG
1	Zane McIntyre	Condors (EDM)	17	12	4	0.869	2.68	984	44	335	17	0
2	Kaden Fulcher	Condors (EDM)	3	0	1	0.667	4.39	41	3	9	0	17
Stats d'équipe Total ou en Moyenne			20	12	5	0.863	2.75	1026	47	344	17	17

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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
Anthony Cirelli	Condors (EDM)	C	24	1997-07-15	No	180 Lbs	6 ft0	No	No	No	1	Pro & Farm	935,833$	0$	0$	No			Lien / Lien NHL
Brian Lashoff	Condors (EDM)	D	31	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
Dominic Toninato	Condors (EDM)	C/LW/RW	27	1994-03-08	No	200 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Eric Robinson	Condors (EDM)	LW/RW	26	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	23	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
Luke Kunin	Condors (EDM)	C/RW	23	1997-12-04	No	193 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,425,000$	0$	0$	No	1,425,000$		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
Noah Hanifin	Condors (EDM)	D	24	1997-01-25	No	206 Lbs	6 ft3	No	No	No	1	Pro & Farm	4,000,000$	0$	0$	No			Lien / Lien NHL
Patrick Brown	Condors (EDM)	C/RW	29	1992-05-29	No	210 Lbs	6 ft1	No	No	No	2	Pro & Farm	725,000$	0$	0$	No	725,000$		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
21	25.95	200 Lbs	6 ft2	1.95	1,468,055$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Corey Perry	Anthony Cirelli	Luke Kunin	40	1	2	2
2	Dominic Toninato	Adam Gaudette	Joey Anderson	30	1	2	2
3	John Hayden	Patrick Brown	Buddy Robinson	20	1	2	2
4	Eric Robinson	Christopher Brown	Givani Smith	10	1	2	2

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

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Corey Perry	Anthony Cirelli	Luke Kunin	60	1	2	2
2	Dominic Toninato	Luke Kunin	Joey Anderson	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Noah Hanifin	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	Anthony Cirelli	Corey Perry	60	1	2	2
2	Luke Kunin	Dominic Toninato	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Noah Hanifin	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	Anthony Cirelli	60	1	2	2	Noah Hanifin	Dennis Gilbert	60	1	2	2
2	Luke Kunin	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	Anthony Cirelli	Corey Perry	60	1	2	2
2	Luke Kunin	Dominic Toninato	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Noah Hanifin	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	Anthony Cirelli	Luke Kunin	Noah Hanifin	Dennis Gilbert

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Corey Perry	Anthony Cirelli	Luke Kunin	Noah Hanifin	Dennis Gilbert

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Joey Anderson, Buddy Robinson, Dominic Toninato	Joey Anderson, Buddy Robinson	Joey Anderson

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brian Lashoff, Zach Whitecloud, Jordan Schmaltz	Brian Lashoff	Brian Lashoff, Zach Whitecloud

Tirs de Pénalité
Anthony Cirelli, Luke Kunin, Corey Perry, Adam Gaudette, Joey Anderson

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

Lignes d'Attaque Perso. en Prol.
Anthony Cirelli, Luke Kunin, Corey Perry, Adam Gaudette, Joey Anderson, Buddy Robinson, Buddy Robinson, Dominic Toninato, John Hayden, Eric Robinson, Givani Smith

Lignes de Défense Perso. en Prol.
Noah Hanifin, Dennis Gilbert, Jeremy Lauzon, Brian Lashoff, Zach Whitecloud

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	Admirals	5	4	1	0	0	0	0	0	20	17	3	2	2	0	0	0	0	0	0	11	9	2	3	2	1	0	0	0	0	0	9	8	1	8	0.800	20	36	56	0	0	24	12	19	3	127	92	105	123	4	97	27	64	112	41	6	14.63%	31	7	77.42%	1	230	433	53.12%	228	491	46.44%	147	269	54.65%	409	279	409	126	207	106
2	Comets	4	0	4	0	0	0	0	0	8	16	-8	2	0	2	0	0	0	0	0	5	10	-5	2	0	2	0	0	0	0	0	3	6	-3	0	0.000	8	14	22	0	0	24	12	19	3	55	92	105	123	4	73	24	61	94	22	4	18.18%	27	8	70.37%	0	230	433	53.12%	228	491	46.44%	147	269	54.65%	409	279	409	126	207	106
3	Heat	4	4	0	0	0	0	0	0	15	6	9	2	2	0	0	0	0	0	0	10	4	6	2	2	0	0	0	0	0	0	5	2	3	8	1.000	15	26	41	0	0	24	12	19	3	85	92	105	123	4	92	30	66	73	20	4	20.00%	32	5	84.38%	0	230	433	53.12%	228	491	46.44%	147	269	54.65%	409	279	409	126	207	106
4	IceHogs	4	4	0	0	0	0	0	0	15	8	7	2	2	0	0	0	0	0	0	7	4	3	2	2	0	0	0	0	0	0	8	4	4	8	1.000	15	30	45	0	0	24	12	19	3	57	92	105	123	4	82	21	62	88	17	4	23.53%	29	2	93.10%	0	230	433	53.12%	228	491	46.44%	147	269	54.65%	409	279	409	126	207	106
	Total	17	12	5	0	0	0	0	0	58	47	11	8	6	2	0	0	0	0	0	33	27	6	9	6	3	0	0	0	0	0	25	20	5	24	0.706	58	106	164	0	0	24	12	19	3	324	92	105	123	4	344	102	253	367	100	18	18.00%	119	22	81.51%	1	230	433	53.12%	228	491	46.44%	147	269	54.65%	409	279	409	126	207	106
	_Since Last GM Reset	17	12	5	0	0	0	0	0	58	47	11	8	6	2	0	0	0	0	0	33	27	6	9	6	3	0	0	0	0	0	25	20	5	24	0.706	58	106	164	0	0	24	12	19	3	324	92	105	123	4	344	102	253	367	100	18	18.00%	119	22	81.51%	1	230	433	53.12%	228	491	46.44%	147	269	54.65%	409	279	409	126	207	106
	_Vs Conference	13	12	1	0	0	0	0	0	50	31	19	6	6	0	0	0	0	0	0	28	17	11	7	6	1	0	0	0	0	0	22	14	8	24	0.923	50	92	142	0	0	24	12	19	3	269	92	105	123	4	271	78	192	273	78	14	17.95%	92	14	84.78%	1	230	433	53.12%	228	491	46.44%	147	269	54.65%	409	279	409	126	207	106

			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
17	24	L4	58	106	164	324	344	102	253	367	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
17	12	5	0	0	0	0	58	47

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	6	2	0	0	0	0	33	27

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	6	3	0	0	0	0	25	20

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	5	2	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
100	18	18.00%	119	22	81.51%	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
92	105	123	4	24	12	19	3

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
230	433	53.12%	228	491	46.44%	147	269	54.65%

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
409	279	409	126	207	106

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	Lien
2 - 2020-10-25	6	Heat	3	Condors	5	W		Sommaire du Match
4 - 2020-10-27	14	Heat	1	Condors	5	W		Sommaire du Match
6 - 2020-10-29	22	Condors	2	Heat	1	W		Sommaire du Match
8 - 2020-10-31	30	Condors	3	Heat	1	W		Sommaire du Match
16 - 2020-11-08	60	IceHogs	2	Condors	4	W		Sommaire du Match
18 - 2020-11-10	64	IceHogs	2	Condors	3	W		Sommaire du Match
20 - 2020-11-12	68	Condors	4	IceHogs	3	W	X	Sommaire du Match
22 - 2020-11-14	72	Condors	4	IceHogs	1	W		Sommaire du Match
30 - 2020-11-22	86	Condors	4	Admirals	5	L		Sommaire du Match
32 - 2020-11-24	88	Condors	2	Admirals	1	W	X	Sommaire du Match
34 - 2020-11-26	90	Admirals	4	Condors	5	W		Sommaire du Match
36 - 2020-11-28	92	Admirals	5	Condors	6	W	X	Sommaire du Match
38 - 2020-11-30	94	Condors	3	Admirals	2	W		Sommaire du Match
43 - 2020-12-05	99	Condors	1	Comets	2	L		Sommaire du Match
44 - 2020-12-06	100	Condors	2	Comets	4	L		Sommaire du Match
45 - 2020-12-07	101	Comets	5	Condors	3	L		Sommaire du Match
46 - 2020-12-08	102	Comets	5	Condors	2	L		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	14,034	7,975
Assistance PCT	87.71%	99.69%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
33	2751 - 91.70%	122,798$	982,380$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	3,082,917$	3,082,917$	0$

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

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

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
2020	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	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
Total Saison Régulière	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	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
2020	17	12	5	0	0	0	0	0	58	47	11	8	6	2	0	0	0	0	0	33	27	6	9	6	3	0	0	0	0	0	25	20	5	24	58	106	164	0	0	24	12	19	3	324	92	105	123	4	344	102	253	367	100	18	18.00%	119	22	81.51%	1	230	433	53.12%	228	491	46.44%	147	269	54.65%	409	279	409	126	207	106
Total Séries	17	12	5	0	0	0	0	0	58	47	11	8	6	2	0	0	0	0	0	33	27	6	9	6	3	0	0	0	0	0	25	20	5	24	58	106	164	0	0	24	12	19	3	324	92	105	123	4	344	102	253	367	100	18	18.00%	119	22	81.51%	1	230	433	53.12%	228	491	46.44%	147	269	54.65%	409	279	409	126	207	106

	Condors
	GP: 17 \| W: 12 \| L: 5 GF: 58 \| GA: 47 \| PP%: 18.00% \| PK%: 81.51% DG: Scott \| Morale : 50 \| Moyenne d'Équipe : 62