OTHL - Phantoms

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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.
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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	Sheldon Dries	X	X			100.00	70	64	83	74	64	61	62	61	76	55	63	62	60	48	49	64	50	60	0	27	2	750,000$
2	Mason Shaw	X				100.00	64	64	65	58	64	55	53	64	80	62	62	59	59	44	44	61	50	58	0	23	2	925,000$
3	Brandon Duhaime (R)		X	X		100.00	72	75	64	68	75	64	66	56	50	46	61	61	58	44	44	60	50	58	0	24	2	925,000$
4	Brandon Manning				X	100.00	74	78	63	67	78	57	59	55	25	51	39	67	37	65	66	54	50	61	0	31	1	750,000$
5	Cameron Gaunce				X	100.00	76	71	87	67	71	61	63	56	25	50	46	66	44	56	56	57	50	61	0	31	3	750,000$
6	Josiah Didier				X	100.00	76	75	79	64	75	56	59	49	25	43	39	62	37	45	45	52	50	57	0	28	2	750,000$
Rayé

	MOYENNE D'ÉQUIPE					100.00	72	71	74	66	71	59	60	57	47	51	52	63	49	50	51	58	50	59

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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	Michael Hutchinson	100.00	67	53	66	80	70	66	72	76	71	71	30	59	60	68	50	68	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	67	53	66	80	70	66	72	76	71	71	30	59	60	68	50	68

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Tim Army	74	67	70	61	88	83	61	USA	57	3	725,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	S1	S2	S3
1	Brandon Duhaime	Phantoms (PHL)	LW/RW	16	22	13	35	29	18	37	37	116	40	90	18.97%	5	272	17.03	1	1	2	3	15	0	0	4	0	75.00%	12	1	2.57	0	0	2	4	1
2	Jordan Weal	Flyers	C/LW/RW	9	13	16	29	25	6	18	27	60	14	35	21.67%	12	192	21.40	2	0	2	4	15	0	15	2	1	80.27%	223	3	3.01	1	1	2	2	3
3	Trey Fix-Wolansky	Flyers	RW	9	16	12	28	24	4	12	13	65	20	48	24.62%	11	172	19.15	0	2	2	3	15	0	9	0	0	89.47%	19	4	3.25	0	0	2	3	0
4	Cameron Gaunce	Phantoms (PHL)	D	16	5	21	26	20	18	63	21	24	14	23	20.83%	29	326	20.43	1	1	2	7	19	0	24	1	0	0.00%	0	0	1.59	0	0	2	0	1
5	Nolan Stevens	Flyers	C	9	11	12	23	17	2	10	16	67	23	34	16.42%	3	182	20.24	0	2	2	2	15	1	4	3	0	74.21%	159	1	2.53	0	1	1	1	2
6	Brandon Manning	Phantoms (PHL)	D	16	2	21	23	12	14	62	19	28	10	21	7.14%	19	272	17.06	2	3	5	16	26	0	25	0	0	0.00%	0	0	1.69	0	0	2	2	0
7	Mason Shaw	Phantoms (PHL)	C	16	12	2	14	10	4	24	33	81	29	68	14.81%	6	223	13.97	0	0	0	1	2	0	9	1	0	77.83%	221	1	1.25	0	0	3	0	2
8	Josiah Didier	Phantoms (PHL)	D	16	1	11	12	11	16	28	23	48	13	38	2.08%	8	242	15.14	0	0	0	0	0	0	0	0	0	77.78%	9	0	0.99	0	0	0	1	0
Stats d'équipe Total ou en Moyenne				107	82	108	190	148	82	254	189	489	163	357	16.77%	93	1885	17.62	6	9	15	36	110	1	88	11	1	78.07%	643	10	2.02	1	2	14	13	9

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Michael Hutchinson	Phantoms (PHL)	16	13	2	1	0.917	1.93	964	0	2	31	373	0	0	0	1.000	3	16	0	0	0	2
Stats d'équipe Total ou en Moyenne			16	13	2	1	0.917	1.93	964	0	2	31	373	0	0	0	1.000	3	16	0	0	0	2

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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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Brandon Duhaime	Phantoms (PHL)	LW/RW	24	1997-05-22	Yes	201 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Lien / Lien NHL
Brandon Manning	Phantoms (PHL)	D	31	1990-06-03	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Lien / Lien NHL
Cameron Gaunce	Phantoms (PHL)	D	31	1990-03-19	No	194 Lbs	6 ft1	Yes	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Josiah Didier	Phantoms (PHL)	D	28	1993-04-08	No	202 Lbs	6 ft2	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$		Lien / Lien NHL
Mason Shaw	Phantoms (PHL)	C	23	1998-11-02	No	180 Lbs	5 ft9	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Lien / Lien NHL
Michael Hutchinson	Phantoms (PHL)	G	31	1990-03-01	No	198 Lbs	6 ft3	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	0$	No			Lien / Lien NHL
Sheldon Dries	Phantoms (PHL)	C/LW	27	1994-04-23	No	180 Lbs	5 ft9	Yes	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$		Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
7	27.86	194 Lbs	6 ft0	1.86	807,143$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				40	1	2	2
2			Brandon Duhaime	30	1	2	2
3		Mason Shaw	Josiah Didier	20	1	2	2
4				10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Cameron Gaunce	40	1	2	2
2		Brandon Manning	30	1	2	2
3			20	1	2	2
4	Josiah Didier		10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				60	1	2	2
2			Brandon Duhaime	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Cameron Gaunce	60	1	2	2
2		Brandon Manning	40	1	2	2

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

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Cameron Gaunce	60	1	2	2
2		Brandon Manning	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		Cameron Gaunce	60	1	2	2
2		40	1	2	2		Brandon Manning	40	1	2	2

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

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Cameron Gaunce	60	1	2	2
2		Brandon Manning	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
				Cameron Gaunce

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
				Cameron Gaunce

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Mason Shaw, ,	Mason Shaw,

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, , Josiah Didier		, Josiah Didier

Tirs de Pénalité
, , , ,

Gardien
#1 : Michael Hutchinson, #2 :

Lignes d'Attaque Perso. en Prol.
, , , , , Brandon Duhaime, Brandon Duhaime, Mason Shaw, , ,

Lignes de Défense Perso. en Prol.
, Cameron Gaunce, , Brandon Manning,

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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	Bears	2	2	0	0	0	0	0	0	18	2	16	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	11	1	10	4	1.000	18	28	46	0	0	34	29	26	1	98	209	204	200	6	29	6	16	29	2	0	0.00%	7	0	100.00%	0	273	416	65.63%	265	423	62.65%	163	253	64.43%	496	395	304	84	163	90
2	Bruins	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	2	1	1	4	1.000	9	13	22	0	0	34	29	26	1	57	209	204	200	6	50	14	22	25	5	0	0.00%	8	2	75.00%	0	273	416	65.63%	265	423	62.65%	163	253	64.43%	496	395	304	84	163	90
3	Checkers	3	1	1	0	0	1	0	0	13	12	1	2	1	0	0	0	1	0	0	11	6	5	1	0	1	0	0	0	0	0	2	6	-4	3	0.500	13	18	31	0	0	34	29	26	1	107	209	204	200	6	110	36	20	79	3	2	66.67%	10	3	70.00%	0	273	416	65.63%	265	423	62.65%	163	253	64.43%	496	395	304	84	163	90
4	Penguins	2	2	0	0	0	0	0	0	14	3	11	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	9	0	9	4	1.000	14	22	36	0	1	34	29	26	1	70	209	204	200	6	44	22	12	51	5	3	60.00%	5	0	100.00%	0	273	416	65.63%	265	423	62.65%	163	253	64.43%	496	395	304	84	163	90
5	Sound Tigers	2	2	0	0	0	0	0	0	13	2	11	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	9	1	8	4	1.000	13	20	33	0	0	34	29	26	1	104	209	204	200	6	35	13	2	48	5	1	20.00%	1	0	100.00%	0	273	416	65.63%	265	423	62.65%	163	253	64.43%	496	395	304	84	163	90
6	Thunderbirds	3	1	1	0	0	0	1	0	8	5	3	1	0	1	0	0	0	0	0	1	2	-1	2	1	0	0	0	0	1	0	7	3	4	4	0.667	8	9	17	0	1	34	29	26	1	76	209	204	200	6	68	16	14	55	8	1	12.50%	6	0	100.00%	0	273	416	65.63%	265	423	62.65%	163	253	64.43%	496	395	304	84	163	90
7	Wolf Pack	2	2	0	0	0	0	0	0	15	2	13	1	1	0	0	0	0	0	0	11	1	10	1	1	0	0	0	0	0	0	4	1	3	4	1.000	15	21	36	0	0	34	29	26	1	104	209	204	200	6	37	20	10	41	1	0	0.00%	4	0	100.00%	0	273	416	65.63%	265	423	62.65%	163	253	64.43%	496	395	304	84	163	90
	Total	16	12	2	0	0	1	1	0	90	31	59	8	6	1	0	0	1	0	0	46	18	28	8	6	1	0	0	0	1	0	44	13	31	27	0.844	90	131	221	0	2	34	29	26	1	616	209	204	200	6	373	127	96	328	29	7	24.14%	41	5	87.80%	0	273	416	65.63%	265	423	62.65%	163	253	64.43%	496	395	304	84	163	90
	_Since Last GM Reset	16	12	2	0	0	1	1	0	90	31	59	8	6	1	0	0	1	0	0	46	18	28	8	6	1	0	0	0	1	0	44	13	31	27	0.844	90	131	221	0	2	34	29	26	1	616	209	204	200	6	373	127	96	328	29	7	24.14%	41	5	87.80%	0	273	416	65.63%	265	423	62.65%	163	253	64.43%	496	395	304	84	163	90
	_Vs Conference	16	12	2	0	0	1	1	0	90	31	59	8	6	1	0	0	1	0	0	46	18	28	8	6	1	0	0	0	1	0	44	13	31	27	0.844	90	131	221	0	2	34	29	26	1	616	209	204	200	6	373	127	96	328	29	7	24.14%	41	5	87.80%	0	273	416	65.63%	265	423	62.65%	163	253	64.43%	496	395	304	84	163	90
	_Vs Division	11	12	2	0	0	1	1	0	73	21	52	6	6	1	0	0	1	0	0	38	12	26	5	6	1	0	0	0	1	0	35	9	26	27	1.227	73	109	182	0	1	34	29	26	1	483	209	204	200	6	255	97	60	248	16	6	37.50%	27	3	88.89%	0	273	416	65.63%	265	423	62.65%	163	253	64.43%	496	395	304	84	163	90

			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
16	27	W1	90	131	221	616	373	127	96	328	0	2

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	12	2	0	1	1	0	90	31

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	6	1	0	1	0	0	46	18

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	6	1	0	0	1	0	44	13

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
8	1	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
29	7	24.14%	41	5	87.80%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
209	204	200	6	34	29	26	1

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
273	416	65.63%	265	423	62.65%	163	253	64.43%

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
496	395	304	84	163	90

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
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
1 - 2021-10-18	8	Thunderbirds	2	Phantoms	1	L			Sommaire du Match
2 - 2021-10-19	21	Phantoms	4	Thunderbirds	3	W	X	X	Sommaire du Match
4 - 2021-10-21	40	Phantoms	9	Sound Tigers	1	W			Sommaire du Match
5 - 2021-10-22	49	Phantoms	9	Penguins	0	W			Sommaire du Match
6 - 2021-10-23	61	Phantoms	3	Thunderbirds	0	W			Sommaire du Match
7 - 2021-10-24	74	Bears	1	Phantoms	7	W			Sommaire du Match
8 - 2021-10-25	89	Phantoms	11	Bears	1	W			Sommaire du Match
9 - 2021-10-26	104	Bruins	4	Phantoms	7	W			Sommaire du Match
10 - 2021-10-27	122	Wolf Pack	1	Phantoms	11	W			Sommaire du Match
11 - 2021-10-28	135	Phantoms	4	Wolf Pack	1	W			Sommaire du Match
13 - 2021-10-30	158	Checkers	5	Phantoms	4	L	X		Sommaire du Match
15 - 2021-11-01	181	Sound Tigers	1	Phantoms	4	W			Sommaire du Match
18 - 2021-11-04	208	Penguins	3	Phantoms	5	W			Sommaire du Match
19 - 2021-11-05	226	Checkers	1	Phantoms	7	W			Sommaire du Match
21 - 2021-11-07	240	Phantoms	2	Checkers	6	L			Sommaire du Match
22 - 2021-11-08	253	Phantoms	2	Bruins	1	W			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	45	0
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	Popularité de l'Équipe
0	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
0$	565,000$	565,000$	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

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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

	Phantoms
	GP: 16 \| W: 13 \| L: 2 \| OTL: 1 \| P: 27 GF: 90 \| GA: 31 \| PP%: 24.14% \| PK%: 87.80% DG: Vacant \| Morale : 50 \| Moyenne d'Équipe : 60