OTHL - Phantoms

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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
1	Justin Kloos	X		X		100.00	70	64	83	66	64	80	84	64	80	63	61	62	58	45	45	65	50	62	0
2	Brian Gibbons (A)	X	X			100.00	67	41	90	70	61	59	79	57	36	63	64	68	53	63	64	66	50	62	0
3	Alex Broadhurst (A)	X				100.00	72	63	92	60	63	72	75	62	78	62	56	65	53	55	55	62	50	61	0
4	Kailer Yamamoto (R)			X		100.00	76	42	95	71	54	64	64	69	25	56	57	68	25	45	45	63	50	60	0
5	Cameron Gaunce				X	100.00	76	78	71	67	78	76	80	63	25	57	52	68	49	56	56	62	50	65	0
6	Joseph Morrow				X	100.00	73	56	85	77	72	63	66	53	25	52	47	62	25	59	60	58	50	62	0
7	Dillon Simpson				X	100.00	78	72	93	68	72	75	83	48	25	39	40	64	38	53	53	54	50	61	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	73	59	87	68	66	70	76	59	42	56	54	65	43	54	54	61	50	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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Ryan Miller	100.00	59	54	58	69	50	68	64	63	82	60	87	79	82	63	50	65	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	59	54	58	69	50	68	64	63	82	60	87	79	82	63	50	65

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Tim Army	50	60	65	49	49	42	52	USA	52	1	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

#	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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Brian Gibbons	Phantoms (PHL)	C/LW	71	65	111	176	128	18	0	59	122	358	96	232	18.16%	48	1300	18.32	10	12	22	44	143	2	2	4	8	145	7	0	61.31%	411	8	2.71	4	7	0	0	0	12	11	14
2	Justin Kloos	Phantoms (PHL)	C/RW	69	64	109	173	123	50	10	80	152	328	110	256	19.51%	26	1285	18.63	7	18	25	45	152	3	2	5	10	152	7	1	78.57%	1470	7	2.69	3	7	1	0	1	10	16	11
3	Kailer Yamamoto	Phantoms (PHL)	RW	61	59	79	138	97	50	0	85	97	285	75	196	20.70%	33	1042	17.10	5	12	17	37	125	0	0	0	2	63	7	2	50.00%	70	6	2.65	0	1	0	0	0	11	8	6
4	Alex Broadhurst	Phantoms (PHL)	C	82	85	25	110	18	74	10	192	202	473	120	337	17.97%	118	1522	18.57	7	4	11	57	175	0	0	0	5	92	13	2	77.75%	1353	10	1.44	1	3	0	2	0	13	4	8
5	Joseph Morrow	Phantoms (PHL)	D	20	3	21	24	29	14	10	29	10	27	13	25	11.11%	10	358	17.93	2	3	5	20	41	0	1	1	1	44	0	0	50.00%	2	0	1.34	0	0	1	0	1	1	2	1
6	Dillon Simpson	Phantoms (PHL)	D	20	7	9	16	14	20	0	47	25	50	16	31	14.00%	16	366	18.31	3	1	4	17	37	0	0	0	0	39	2	0	71.43%	7	0	0.87	0	0	0	0	0	1	1	0
7	Cameron Gaunce	Phantoms (PHL)	D	14	3	8	11	17	17	5	30	11	18	5	10	16.67%	4	221	15.83	1	2	3	11	32	0	1	1	0	34	0	0	50.00%	2	0	0.99	0	0	0	0	1	0	0	0
Stats d'équipe Total ou en Moyenne				337	286	362	648	426	243	35	522	619	1539	435	1087	18.58%	255	6098	18.10	35	52	87	231	706	5	6	11	26	572	36	5	75.44%	3315	31	2.13	8	18	2	2	3	48	42	40

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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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Ryan Miller	Phantoms (PHL)	74	58	14	1	0.917	1.41	4413	4	17	104	1246	0	3	0	0.773	22	74	0	3	1	3
Stats d'équipe Total ou en Moyenne			74	58	14	1	0.917	1.41	4413	4	17	104	1246	0	3	0	0.773	22	74	0	3	1	3

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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
Alex Broadhurst	Phantoms (PHL)	C	27	1993-03-06	No	178 Lbs	5 ft10	No	No	No	2	Pro & Farm	850,000$	0$	0$	No	850,000$		Lien
Brian Gibbons	Phantoms (PHL)	C/LW	32	1988-02-05	No	175 Lbs	5 ft8	No	No	No	2	Pro & Farm	3,000,000$	0$	0$	No	3,000,000$		Lien
Cameron Gaunce	Phantoms (PHL)	D	30	1990-03-19	No	204 Lbs	6 ft2	No	No	No	2	Pro & Farm	845,833$	0$	0$	No	845,833$		Lien
Dillon Simpson	Phantoms (PHL)	D	27	1993-02-09	No	194 Lbs	6 ft2	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$		Lien
Joseph Morrow	Phantoms (PHL)	D	27	1992-12-09	No	196 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,000,000$	0$	0$	No			Lien
Justin Kloos	Phantoms (PHL)	C/RW	26	1993-11-30	No	180 Lbs	5 ft9	No	No	No	2	Pro & Farm	975,000$	0$	0$	No	975,000$		Lien
Kailer Yamamoto	Phantoms (PHL)	RW	21	1998-09-29	Yes	153 Lbs	5 ft8	No	No	No	3	Pro & Farm	1,124,166$	0$	0$	No	1,124,166$	1,124,166$	Lien
Ryan Miller	Phantoms (PHL)	G	39	1980-07-17	No	173 Lbs	6 ft3	No	No	No	1	Pro & Farm	5,000,000$	0$	0$	No			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
8	28.63	182 Lbs	5 ft11	1.88	1,693,125$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brian Gibbons	Justin Kloos	Kailer Yamamoto	40	0	0	5
2		Alex Broadhurst		30	0	0	5
3				20	1	2	2
4	Justin Kloos	Brian Gibbons	Alex Broadhurst	10	0	0	5

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Cameron Gaunce	Joseph Morrow	40	0	2	3
2	Dillon Simpson		30	0	2	3
3			20	1	2	2
4	Cameron Gaunce	Joseph Morrow	10	0	3	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brian Gibbons	Justin Kloos	Kailer Yamamoto	60	0	0	5
2	Brian Gibbons	Justin Kloos	Kailer Yamamoto	40	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Cameron Gaunce	Joseph Morrow	60	0	0	5
2	Dillon Simpson		40	0	0	5

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Brian Gibbons	Justin Kloos	60	0	5	0
2	Alex Broadhurst	Kailer Yamamoto	40	0	5	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Cameron Gaunce	Joseph Morrow	60	0	5	0
2	Dillon Simpson		40	0	5	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Brian Gibbons	60	0	5	0	Cameron Gaunce	Joseph Morrow	60	0	5	0
2	Justin Kloos	40	0	5	0	Dillon Simpson		40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Brian Gibbons	Justin Kloos	60	1	2	2
2	Alex Broadhurst	Kailer Yamamoto	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Cameron Gaunce	Joseph Morrow	60	1	2	2
2	Dillon Simpson		40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brian Gibbons	Justin Kloos	Kailer Yamamoto	Cameron Gaunce	Joseph Morrow

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brian Gibbons	Justin Kloos	Kailer Yamamoto	Cameron Gaunce	Joseph Morrow

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Kailer Yamamoto, Alex Broadhurst, Brian Gibbons	Kailer Yamamoto, Alex Broadhurst	Brian Gibbons

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Dillon Simpson, Cameron Gaunce, Joseph Morrow	Dillon Simpson	Cameron Gaunce, Joseph Morrow

Tirs de Pénalité
Brian Gibbons, Justin Kloos, Alex Broadhurst, Kailer Yamamoto,

Gardien
#1 : Ryan Miller, #2 :

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	Americans	3	1	1	0	0	0	0	1	5	8	-3	2	0	1	0	0	0	0	1	3	7	-4	1	1	0	0	0	0	0	0	2	1	1	3	0.500	5	7	12	0	0	143	129	90	10	62	914	1005	952	33	85	27	52	35	13	0	0.00%	13	1	92.31%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
2	Admirals	2	2	0	0	0	0	0	0	16	0	16	1	1	0	0	0	0	0	0	9	0	9	1	1	0	0	0	0	0	0	7	0	7	4	1.000	16	30	46	0	2	143	129	90	10	92	914	1005	952	33	36	8	6	42	4	1	25.00%	3	0	100.00%	1	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
3	Barracudas	2	0	1	0	0	0	1	0	6	6	0	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	0	0	1	0	4	3	1	2	0.500	6	9	15	0	0	143	129	90	10	66	914	1005	952	33	55	11	8	38	6	0	0.00%	3	2	33.33%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
4	Bears	4	2	2	0	0	0	0	0	16	19	-3	2	1	1	0	0	0	0	0	10	10	0	2	1	1	0	0	0	0	0	6	9	-3	4	0.500	16	28	44	0	0	143	129	90	10	153	914	1005	952	33	134	35	24	63	7	1	14.29%	12	1	91.67%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
5	Bruins	3	0	1	0	0	0	1	1	5	11	-6	2	0	1	0	0	0	1	0	3	8	-5	1	0	0	0	0	0	0	1	2	3	-1	3	0.500	5	7	12	0	0	143	129	90	10	68	914	1005	952	33	70	19	14	51	8	0	0.00%	6	2	66.67%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
6	Checkers	4	1	3	0	0	0	0	0	12	25	-13	2	1	1	0	0	0	0	0	7	10	-3	2	0	2	0	0	0	0	0	5	15	-10	2	0.250	12	22	34	0	0	143	129	90	10	79	914	1005	952	33	112	30	41	49	9	2	22.22%	16	2	87.50%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
7	Comets	2	1	1	0	0	0	0	0	6	10	-4	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	3	8	-5	2	0.500	6	11	17	0	0	143	129	90	10	26	914	1005	952	33	87	32	10	24	7	2	28.57%	5	2	60.00%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
8	Condors	2	0	2	0	0	0	0	0	4	14	-10	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	3	8	-5	0	0.000	4	8	12	0	0	143	129	90	10	28	914	1005	952	33	56	14	10	29	8	0	0.00%	5	2	60.00%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
9	Crunch	3	1	2	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	3	2	1	2	0	2	0	0	0	0	0	2	4	-2	2	0.333	5	6	11	0	0	143	129	90	10	75	914	1005	952	33	77	29	28	53	5	1	20.00%	12	0	100.00%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
10	Devils	4	4	0	0	0	0	0	0	26	11	15	2	2	0	0	0	0	0	0	12	7	5	2	2	0	0	0	0	0	0	14	4	10	8	1.000	26	47	73	0	0	143	129	90	10	253	914	1005	952	33	106	32	11	64	7	0	0.00%	3	0	100.00%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
11	Eagles	2	2	0	0	0	0	0	0	17	7	10	1	1	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	8	3	5	4	1.000	17	27	44	0	0	143	129	90	10	118	914	1005	952	33	54	17	12	48	3	1	33.33%	6	1	83.33%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
12	Griffins	3	2	1	0	0	0	0	0	11	9	2	1	1	0	0	0	0	0	0	5	4	1	2	1	1	0	0	0	0	0	6	5	1	4	0.667	11	17	28	0	0	143	129	90	10	104	914	1005	952	33	109	40	32	44	7	2	28.57%	12	2	83.33%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
13	Gulls	2	0	2	0	0	0	0	0	7	17	-10	1	0	1	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	4	9	-5	0	0.000	7	14	21	0	0	143	129	90	10	71	914	1005	952	33	86	16	8	35	12	3	25.00%	4	0	100.00%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
14	Heat	2	0	2	0	0	0	0	0	1	20	-19	1	0	1	0	0	0	0	0	0	9	-9	1	0	1	0	0	0	0	0	1	11	-10	0	0.000	1	1	2	0	0	143	129	90	10	26	914	1005	952	33	112	24	8	25	7	0	0.00%	4	1	75.00%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
15	IceHogs	2	0	2	0	0	0	0	0	4	18	-14	1	0	1	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	3	11	-8	0	0.000	4	8	12	0	0	143	129	90	10	27	914	1005	952	33	94	35	2	14	7	0	0.00%	1	0	100.00%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
16	Marlies	3	1	1	0	0	0	1	0	18	20	-2	2	1	0	0	0	0	1	0	13	11	2	1	0	1	0	0	0	0	0	5	9	-4	4	0.667	18	32	50	0	0	143	129	90	10	70	914	1005	952	33	132	29	12	42	12	3	25.00%	6	0	100.00%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
17	Monsters	4	1	3	0	0	0	0	0	14	22	-8	2	0	2	0	0	0	0	0	9	14	-5	2	1	1	0	0	0	0	0	5	8	-3	2	0.250	14	21	35	0	0	143	129	90	10	80	914	1005	952	33	114	45	23	34	25	5	20.00%	9	3	66.67%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
18	Moose	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	2	0	2	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	5	8	13	0	1	143	129	90	10	67	914	1005	952	33	59	21	14	36	6	0	0.00%	7	1	85.71%	1	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
19	Penguins	4	3	1	0	0	0	0	0	23	13	10	2	2	0	0	0	0	0	0	14	3	11	2	1	1	0	0	0	0	0	9	10	-1	6	0.750	23	36	59	0	0	143	129	90	10	151	914	1005	952	33	145	25	18	70	17	3	17.65%	8	1	87.50%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
20	Rampage	2	2	0	0	0	0	0	0	17	3	14	1	1	0	0	0	0	0	0	9	1	8	1	1	0	0	0	0	0	0	8	2	6	4	1.000	17	28	45	0	0	143	129	90	10	104	914	1005	952	33	51	18	13	19	4	2	50.00%	4	0	100.00%	1	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
21	Reign	2	1	0	0	1	0	0	0	10	7	3	1	0	0	0	1	0	0	0	4	3	1	1	1	0	0	0	0	0	0	6	4	2	4	1.000	10	18	28	0	0	143	129	90	10	85	914	1005	952	33	74	18	8	50	4	0	0.00%	4	0	100.00%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
22	Roadrunners	2	1	0	0	0	0	1	0	16	8	8	1	1	0	0	0	0	0	0	9	2	7	1	0	0	0	0	0	1	0	7	6	1	4	1.000	16	25	41	0	0	143	129	90	10	123	914	1005	952	33	73	21	8	33	1	0	0.00%	4	0	100.00%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
23	Rocket	3	0	2	0	0	0	0	1	5	20	-15	2	0	1	0	0	0	0	1	4	15	-11	1	0	1	0	0	0	0	0	1	5	-4	1	0.167	5	8	13	0	0	143	129	90	10	65	914	1005	952	33	106	39	24	33	16	2	12.50%	12	2	83.33%	1	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
24	Senators	3	3	0	0	0	0	0	0	20	9	11	1	1	0	0	0	0	0	0	9	2	7	2	2	0	0	0	0	0	0	11	7	4	6	1.000	20	34	54	0	0	143	129	90	10	162	914	1005	952	33	87	23	16	56	3	0	0.00%	7	1	85.71%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
25	Sound Tigers	4	3	1	0	0	0	0	0	23	12	11	2	2	0	0	0	0	0	0	13	2	11	2	1	1	0	0	0	0	0	10	10	0	6	0.750	23	37	60	0	0	143	129	90	10	199	914	1005	952	33	107	40	20	76	7	4	57.14%	9	2	77.78%	1	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
26	Stars	2	1	1	0	0	0	0	0	8	7	1	1	0	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	3	1	2	2	0.500	8	13	21	0	0	143	129	90	10	82	914	1005	952	33	63	24	8	31	3	1	33.33%	4	0	100.00%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
27	Thunderbirds	3	1	1	0	1	0	0	0	13	12	1	1	0	1	0	0	0	0	0	4	5	-1	2	1	0	0	1	0	0	0	9	7	2	4	0.667	13	19	32	0	0	143	129	90	10	61	914	1005	952	33	115	25	16	53	15	3	20.00%	7	2	71.43%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
	Total	82	40	33	0	2	0	4	3	368	343	25	41	21	15	0	1	0	2	2	193	159	34	41	19	18	0	1	0	2	1	175	184	-9	95	0.579	368	619	987	0	5	143	129	90	10	2886	914	1005	952	33	2618	763	476	1311	242	41	16.94%	200	29	85.50%	6	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
29	Wild	2	2	0	0	0	0	0	0	19	4	15	1	1	0	0	0	0	0	0	10	0	10	1	1	0	0	0	0	0	0	9	4	5	4	1.000	19	33	52	0	1	143	129	90	10	111	914	1005	952	33	63	25	0	35	5	3	60.00%	0	0	0.00%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
30	Wolf Pack	4	4	0	0	0	0	0	0	33	6	27	2	2	0	0	0	0	0	0	15	2	13	2	2	0	0	0	0	0	0	18	4	14	8	1.000	33	60	93	0	1	143	129	90	10	238	914	1005	952	33	88	25	18	100	5	2	40.00%	9	0	100.00%	1	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
31	Wolves	2	0	2	0	0	0	0	0	3	13	-10	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	3	5	8	0	0	143	129	90	10	40	914	1005	952	33	68	16	12	29	9	0	0.00%	5	1	80.00%	0	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
	_Since Last GM Reset	82	40	33	0	2	0	4	3	368	343	25	41	21	15	0	1	0	2	2	193	159	34	41	19	18	0	1	0	2	1	175	184	-9	95	0.579	368	619	987	0	5	143	129	90	10	2886	914	1005	952	33	2618	763	476	1311	242	41	16.94%	200	29	85.50%	6	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
	_Vs Conference	51	27	19	0	1	0	2	2	230	205	25	25	15	7	0	0	0	2	1	124	97	27	26	12	12	0	1	0	0	1	106	108	-2	62	0.608	230	385	615	0	1	143	129	90	10	1784	914	1005	952	33	1589	468	307	812	150	30	20.00%	133	20	84.96%	3	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
	_Vs Division	28	14	9	0	1	0	1	1	147	108	39	14	8	4	0	0	0	1	0	80	48	32	14	6	5	0	1	0	0	1	67	60	7	33	0.589	147	251	398	0	1	143	129	90	10	1153	914	1005	952	33	806	232	155	456	77	17	22.08%	66	9	86.36%	2	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423

			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	95	W10	368	619	987	2886	2618	763	476	1311	0	5

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	40	33	2	0	4	3	368	343

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	21	15	1	0	2	2	193	159

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	19	18	1	0	2	1	175	184

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
10	0	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
242	41	16.94%	200	29	85.50%	6

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
914	1005	952	33	143	129	90	10

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
1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%

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
1982	1506	2098	505	877	423

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
3 - 2019-10-06	16	IceHogs	7	Phantoms	1	L			Sommaire du Match
8 - 2019-10-11	45	Devils	4	Phantoms	6	W			Sommaire du Match
11 - 2019-10-14	73	Phantoms	3	Comets	8	L			Sommaire du Match
14 - 2019-10-17	85	Phantoms	1	Heat	11	L			Sommaire du Match
15 - 2019-10-18	94	Phantoms	3	Condors	8	L			Sommaire du Match
18 - 2019-10-21	118	Stars	6	Phantoms	5	L			Sommaire du Match
20 - 2019-10-23	130	Wolves	6	Phantoms	2	L			Sommaire du Match
23 - 2019-10-26	147	Phantoms	3	IceHogs	11	L			Sommaire du Match
25 - 2019-10-28	167	Monsters	8	Phantoms	4	L			Sommaire du Match
26 - 2019-10-29	173	Phantoms	2	Sound Tigers	8	L			Sommaire du Match
28 - 2019-10-31	186	Phantoms	2	Penguins	5	L			Sommaire du Match
31 - 2019-11-03	199	Phantoms	7	Devils	3	W			Sommaire du Match
32 - 2019-11-04	214	Marlies	4	Phantoms	5	W			Sommaire du Match
35 - 2019-11-07	230	Checkers	7	Phantoms	3	L			Sommaire du Match
37 - 2019-11-09	245	Rocket	5	Phantoms	4	L	X	X	Sommaire du Match
39 - 2019-11-11	261	Phantoms	5	Marlies	9	L			Sommaire du Match
40 - 2019-11-12	264	Phantoms	2	Bruins	3	L	X	X	Sommaire du Match
43 - 2019-11-15	284	Bears	4	Phantoms	9	W			Sommaire du Match
45 - 2019-11-17	296	Phantoms	5	Senators	4	W			Sommaire du Match
46 - 2019-11-18	308	Sound Tigers	1	Phantoms	6	W			Sommaire du Match
49 - 2019-11-21	324	Phantoms	5	Thunderbirds	4	W	X		Sommaire du Match
51 - 2019-11-23	335	Phantoms	2	Checkers	7	L			Sommaire du Match
53 - 2019-11-25	355	Heat	9	Phantoms	0	L			Sommaire du Match
55 - 2019-11-27	371	Comets	2	Phantoms	3	W			Sommaire du Match
57 - 2019-11-29	379	Phantoms	2	Monsters	6	L			Sommaire du Match
59 - 2019-12-01	399	Griffins	4	Phantoms	5	W			Sommaire du Match
60 - 2019-12-02	410	Phantoms	1	Rocket	5	L			Sommaire du Match
63 - 2019-12-05	430	Marlies	7	Phantoms	8	W	X	X	Sommaire du Match
65 - 2019-12-07	445	Roadrunners	2	Phantoms	9	W			Sommaire du Match
67 - 2019-12-09	459	Senators	2	Phantoms	9	W			Sommaire du Match
71 - 2019-12-13	484	Phantoms	8	Eagles	3	W			Sommaire du Match
74 - 2019-12-16	506	Phantoms	9	Wild	4	W			Sommaire du Match
75 - 2019-12-17	518	Phantoms	3	Moose	6	L			Sommaire du Match
77 - 2019-12-19	528	Gulls	8	Phantoms	3	L			Sommaire du Match
79 - 2019-12-21	544	Americans	5	Phantoms	2	L			Sommaire du Match
81 - 2019-12-23	560	Phantoms	6	Senators	3	W			Sommaire du Match
83 - 2019-12-25	576	Wolf Pack	1	Phantoms	8	W			Sommaire du Match
88 - 2019-12-30	597	Phantoms	4	Barracudas	3	W	X	X	Sommaire du Match
89 - 2019-12-31	602	Phantoms	4	Gulls	9	L			Sommaire du Match
91 - 2020-01-02	621	Phantoms	6	Reign	4	W			Sommaire du Match
93 - 2020-01-04	637	Phantoms	1	Wolves	7	L			Sommaire du Match
95 - 2020-01-06	641	Phantoms	7	Roadrunners	6	W	X	X	Sommaire du Match
98 - 2020-01-09	664	Phantoms	3	Checkers	8	L			Sommaire du Match
99 - 2020-01-10	676	Bears	6	Phantoms	1	L			Sommaire du Match
102 - 2020-01-13	698	Crunch	2	Phantoms	3	W			Sommaire du Match
104 - 2020-01-15	711	Bruins	7	Phantoms	1	L			Sommaire du Match
106 - 2020-01-17	726	Phantoms	8	Rampage	2	W			Sommaire du Match
107 - 2020-01-18	736	Rocket	10	Phantoms	0	L			Sommaire du Match
109 - 2020-01-20	752	Reign	3	Phantoms	4	W	X		Sommaire du Match
112 - 2020-01-23	765	Penguins	2	Phantoms	7	W			Sommaire du Match
122 - 2020-02-02	790	Phantoms	7	Penguins	5	W			Sommaire du Match
123 - 2020-02-03	802	Eagles	4	Phantoms	9	W			Sommaire du Match
125 - 2020-02-05	809	Phantoms	2	Griffins	4	L			Sommaire du Match
128 - 2020-02-08	836	Devils	3	Phantoms	6	W			Sommaire du Match
130 - 2020-02-10	854	Phantoms	1	Bears	8	L			Sommaire du Match
132 - 2020-02-12	862	Thunderbirds	5	Phantoms	4	L			Sommaire du Match
133 - 2020-02-13	873	Phantoms	8	Sound Tigers	2	W			Sommaire du Match
135 - 2020-02-15	883	Phantoms	4	Thunderbirds	3	W			Sommaire du Match
137 - 2020-02-17	904	Phantoms	1	Crunch	2	L			Sommaire du Match
140 - 2020-02-20	923	Monsters	6	Phantoms	5	L			Sommaire du Match
142 - 2020-02-22	933	Phantoms	3	Monsters	2	W			Sommaire du Match
144 - 2020-02-24	954	Moose	0	Phantoms	2	W			Sommaire du Match
147 - 2020-02-27	977	Barracudas	3	Phantoms	2	L			Sommaire du Match
150 - 2020-03-01	997	Wolf Pack	1	Phantoms	7	W			Sommaire du Match
152 - 2020-03-03	1015	Phantoms	9	Wolf Pack	4	W			Sommaire du Match
155 - 2020-03-06	1032	Phantoms	5	Bears	1	W			Sommaire du Match
156 - 2020-03-07	1040	Checkers	3	Phantoms	4	W			Sommaire du Match
158 - 2020-03-09	1056	Americans	2	Phantoms	1	L	X	X	Sommaire du Match
161 - 2020-03-12	1075	Bruins	1	Phantoms	2	W	X	X	Sommaire du Match
163 - 2020-03-14	1090	Phantoms	1	Crunch	2	L			Sommaire du Match
165 - 2020-03-16	1106	Wild	0	Phantoms	10	W			Sommaire du Match
166 - 2020-03-17	1113	Condors	6	Phantoms	1	L			Sommaire du Match
168 - 2020-03-19	1128	Rampage	1	Phantoms	9	W			Sommaire du Match
171 - 2020-03-22	1148	Phantoms	3	Stars	1	W			Sommaire du Match
172 - 2020-03-23	1160	Phantoms	7	Admirals	0	W			Sommaire du Match
175 - 2020-03-26	1182	Sound Tigers	1	Phantoms	7	W			Sommaire du Match
177 - 2020-03-28	1193	Phantoms	4	Griffins	1	W			Sommaire du Match
179 - 2020-03-30	1212	Phantoms	7	Devils	1	W			Sommaire du Match
180 - 2020-03-31	1220	Penguins	1	Phantoms	7	W			Sommaire du Match
183 - 2020-04-03	1241	Phantoms	9	Wolf Pack	0	W			Sommaire du Match
184 - 2020-04-04	1249	Admirals	0	Phantoms	9	W			Sommaire du Match
186 - 2020-04-06	1259	Phantoms	2	Americans	1	W			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	40	0
Assistance	74,202	36,078
Assistance PCT	90.49%	88.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	2690 - 89.66%	72,392$	2,968,080$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,405,256$	1,354,500$	1,354,500$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
7,282$	805,228$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	10,508$	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
2019	82	40	33	0	2	0	4	3	368	343	25	41	21	15	0	1	0	2	2	193	159	34	41	19	18	0	1	0	2	1	175	184	-9	95	368	619	987	0	5	143	129	90	10	2886	914	1005	952	33	2618	763	476	1311	242	41	16.94%	200	29	85.50%	6	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423
Total Saison Régulière	82	40	33	0	2	0	4	3	368	343	25	41	21	15	0	1	0	2	2	193	159	34	41	19	18	0	1	0	2	1	175	184	-9	95	368	619	987	0	5	143	129	90	10	2886	914	1005	952	33	2618	763	476	1311	242	41	16.94%	200	29	85.50%	6	1395	2197	63.50%	1140	1981	57.55%	877	1440	60.90%	1982	1506	2098	505	877	423