LAAHS - Philadelphia 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	Brendan Perlini		X	X		100.00	71	44	87	88	79	59	88	62	29	59	67	56	75	63	63	70	83	64	0
2	Joshua Ho-Sang (C)	X	X	X		100.00	55	40	82	81	64	68	75	82	25	65	63	67	25	48	48	65	81	64	0
3	Dale Weise			X		100.00	82	57	88	73	77	62	69	58	36	61	59	77	25	72	74	66	92	64	0
4	Zac Dalpe	X	X	X		100.00	74	73	76	66	73	67	67	70	80	60	73	69	69	58	59	70	90	64	0
5	Warren Foegele		X	X		100.00	81	44	91	67	72	63	93	58	41	61	66	71	25	54	54	66	81	63	0
6	Tanner Kero	X	X			100.00	73	68	85	74	68	70	71	66	80	62	65	66	62	51	51	67	92	63	0
7	Lias Andersson	X				100.00	79	57	80	78	71	57	83	59	58	60	57	70	25	48	48	64	92	62	0
8	Dryden Hunt		X			100.00	86	45	91	72	71	58	91	59	25	68	59	59	45	56	56	65	91	62	0
9	Joey Anderson (R)			X		100.00	77	43	93	70	69	64	60	63	50	59	62	79	25	47	47	67	65	61	0
10	T.J. Hensick	X	X	X		100.00	77	68	99	69	68	61	60	66	80	68	60	66	57	44	44	65	88	61	0
11	German Rubtsov (R)	X				100.00	77	67	99	71	67	56	54	63	79	56	67	65	64	44	44	66	91	60	0
12	Max Veronneau (R)			X		100.00	55	40	99	64	67	63	49	63	25	63	70	56	25	45	45	65	58	58	0
13	John Marino (R)				X	100.00	72	63	76	80	69	78	80	64	25	63	47	81	25	44	44	70	88	67	0
14	Chad Ruhwedel				X	100.00	87	45	92	72	69	70	55	61	25	46	48	76	25	60	61	61	66	64	0
15	Dennis Cholowski (R) (A)				X	100.00	61	41	90	77	64	75	89	77	25	54	52	54	25	49	49	63	83	62	0
16	Juuso Valimaki (R)				X	100.00	73	43	85	78	75	68	62	55	25	48	48	73	25	46	46	60	84	62	0
17	Jake Bean (R) (A)				X	100.00	75	69	88	77	69	67	69	59	25	52	52	63	49	44	44	62	92	61	0
18	Dakota Mermis				X	100.00	70	67	78	67	67	75	81	52	25	47	41	61	39	53	53	54	91	59	0
Rayé
1	Jon Martin	X		X		100.00	73	79	59	59	79	68	71	59	74	56	57	63	54	46	46	60	20	58	0
2	A.J. Greer		X	X		100.00	78	44	74	72	76	45	77	56	37	57	58	58	25	46	46	60	65	57	0
3	Dennis Yan		X			100.00	74	72	78	65	72	62	64	57	50	50	58	64	55	52	52	60	59	57	0
4	Ty Lewis (R)		X			100.00	72	67	82	65	67	73	78	55	50	50	56	61	53	44	44	60	19	56	0
5	Givani Smith (R)		X	X		100.00	72	75	64	58	75	66	71	49	50	45	47	59	45	44	44	53	20	53	0
6	Dean Kukan				X	100.00	67	42	91	68	70	63	57	61	25	54	47	60	25	56	56	58	33	58	0

	MOYENNE D'ÉQUIPE					100.00	73	56	84	71	71	65	71	61	44	57	57	66	40	51	51	63	72	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	Ilya Samsonov (R)	100.00	74	66	83	80	75	75	68	70	74	80	60	46	46	74	81	69	0
2	Tristan Jarry	100.00	62	70	88	76	62	65	55	65	60	59	30	46	46	62	91	62	0
Rayé
1	Alex Lyon	100.00	62	69	86	75	63	66	53	64	60	59	30	45	45	62	19	61	0
2	Oscar Dansk	100.00	60	61	76	79	60	62	59	66	62	61	30	44	44	61	20	60	0
3	Connor LaCouvee (R)	100.00	59	54	68	75	61	59	60	65	61	61	30	44	44	60	19	59	0
4	Kevin Lankinen (R)	100.00	58	51	64	73	60	58	59	64	60	60	30	44	44	59	20	58	0
5	Hunter Miska	100.00	51	61	76	63	48	51	50	56	49	49	30	44	44	52	20	52	0

	MOYENNE D'ÉQUIPE	100.00	61	62	77	74	61	62	58	64	61	61	34	45	45	61	39	60

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Lindy Ruff	70	50	51	41	81	83	63	CAN	55	3	60,000$

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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	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Joshua Ho-Sang	Philadelphia Phantoms (PHI)	C/LW/RW	82	64	93	157	33	41	15	86	87	415	135	266	15.42%	34	1509	18.40	14	35	49	47	191	0	0	0	0	15	7	2	32.29%	96	106	35	0	4	2.08	1	3	0	3	0	11	10	8
2	Tanner Kero	Philadelphia Phantoms (PHI)	C/LW	82	70	80	150	50	79	45	136	143	436	128	251	16.06%	43	1442	17.60	16	18	34	31	132	3	2	5	6	50	8	0	57.41%	1059	105	32	0	9	2.08	0	2	5	2	2	16	7	3
3	Zac Dalpe	Philadelphia Phantoms (PHI)	C/LW/RW	82	52	76	128	41	155	75	162	138	246	71	145	21.14%	43	1527	18.63	12	20	32	27	171	0	1	1	0	88	4	2	60.18%	1846	51	43	2	3	1.68	4	7	3	4	8	7	7	7
4	T.J. Hensick	Philadelphia Phantoms (PHI)	C/LW/RW	81	38	74	112	16	56	40	118	120	316	89	175	12.03%	41	1499	18.51	11	18	29	32	182	0	2	2	6	97	2	3	56.36%	291	57	41	0	0	1.49	3	4	2	4	2	5	8	7
5	Warren Foegele	Philadelphia Phantoms (PHI)	LW/RW	82	40	39	79	38	18	10	140	98	189	52	120	21.16%	44	1471	17.95	4	7	11	10	162	0	0	0	3	50	6	1	40.79%	76	39	34	0	2	1.07	0	0	0	1	1	4	4	6
6	German Rubtsov	Philadelphia Phantoms (PHI)	C	82	30	40	70	28	57	45	99	95	233	55	105	12.88%	22	1007	12.28	0	2	2	0	23	0	0	0	1	53	4	0	56.74%	631	39	24	0	1	1.39	1	1	3	1	5	4	3	4
7	Dryden Hunt	Philadelphia Phantoms (PHI)	LW	82	23	38	61	19	11	5	125	76	204	68	122	11.27%	24	1087	13.26	0	4	4	5	47	0	0	0	0	13	4	0	42.62%	61	53	18	0	0	1.12	0	0	0	0	1	3	3	2
8	Joey Anderson	Philadelphia Phantoms (PHI)	RW	50	23	37	60	26	19	15	67	60	143	40	101	16.08%	27	883	17.68	4	5	9	7	81	1	0	1	2	51	5	0	39.66%	116	43	17	1	2	1.36	0	0	1	1	1	2	3	4
9	Martin Necas	Flyers	C/LW/RW	38	21	36	57	13	28	10	68	77	140	45	85	15.00%	14	693	18.24	8	8	16	13	84	0	0	0	2	15	4	2	54.62%	714	29	12	0	1	1.64	2	2	0	1	1	4	3	3
10	Dale Weise	Philadelphia Phantoms (PHI)	RW	82	30	24	54	17	29	25	100	87	180	45	144	16.67%	42	1199	14.63	6	4	10	9	72	1	1	2	3	93	2	0	39.51%	81	35	40	0	1	0.90	1	5	1	2	2	1	3	3
11	Dennis Cholowski	Philadelphia Phantoms (PHI)	D	82	11	42	53	20	18	0	57	91	154	53	65	7.14%	104	1793	21.87	5	9	14	16	191	0	0	0	1	27	2	0	0.00%	0	44	42	0	0	0.59	0	0	0	0	0	1	0	0
12	Brendan Perlini	Philadelphia Phantoms (PHI)	LW/RW	38	18	34	52	17	33	5	48	30	117	39	75	15.38%	18	680	17.91	3	10	13	14	85	0	0	0	0	0	3	2	38.10%	42	37	10	0	2	1.53	0	0	1	0	0	2	5	1
13	Lias Andersson	Philadelphia Phantoms (PHI)	C	82	23	28	51	9	25	5	105	79	200	77	124	11.50%	48	1072	13.08	0	0	0	0	2	1	0	1	8	90	2	2	47.58%	641	55	29	0	0	0.95	0	0	0	1	0	2	1	2
14	John Marino	Philadelphia Phantoms (PHI)	D	57	7	37	44	25	93	45	104	89	107	50	49	6.54%	90	1317	23.12	6	7	13	13	136	0	0	0	1	32	2	1	0.00%	0	27	54	0	0	0.67	0	0	4	2	3	0	1	2
15	Juuso Valimaki	Philadelphia Phantoms (PHI)	D	78	4	30	34	42	19	5	84	102	114	37	41	3.51%	91	1565	20.07	2	3	5	8	111	0	0	0	2	58	1	0	0.00%	0	12	51	1	0	0.43	0	0	0	1	0	0	1	1
16	A.J. Greer	Philadelphia Phantoms (PHI)	LW/RW	62	16	18	34	10	31	5	74	60	114	36	64	14.04%	18	788	12.72	0	1	1	0	31	0	0	0	0	0	2	0	46.34%	41	27	20	0	0	0.86	0	0	0	1	0	0	1	1
17	Max Veronneau	Philadelphia Phantoms (PHI)	RW	42	15	15	30	15	2	0	10	28	99	22	52	15.15%	10	595	14.19	1	2	3	1	22	0	0	0	0	2	2	0	28.00%	25	17	9	0	1	1.01	0	0	0	0	0	1	1	2
18	Dakota Mermis	Philadelphia Phantoms (PHI)	D	82	1	24	25	38	55	25	82	60	74	29	24	1.35%	87	1481	18.06	1	1	2	2	51	0	0	0	0	112	0	0	0.00%	0	13	44	0	0	0.34	0	0	0	2	3	0	0	0
19	Chad Ruhwedel	Philadelphia Phantoms (PHI)	D	67	5	17	22	22	26	0	86	87	79	42	38	6.33%	79	1388	20.72	1	1	2	3	83	0	0	0	2	90	0	0	0.00%	0	14	50	0	0	0.32	0	0	0	0	0	2	0	0
20	Jake Bean	Philadelphia Phantoms (PHI)	D	82	3	18	21	38	69	45	97	90	113	42	41	2.65%	111	1706	20.81	2	1	3	8	130	0	2	2	5	138	1	0	0.00%	0	24	56	0	0	0.25	0	0	2	3	4	1	1	0
21	Dennis Yan	Philadelphia Phantoms (PHI)	LW	51	10	10	20	3	21	5	70	32	39	12	23	25.64%	23	549	10.77	0	1	1	1	14	0	1	1	2	32	1	0	41.94%	31	4	11	0	0	0.73	0	0	0	0	1	0	0	0
22	Dean Kukan	Philadelphia Phantoms (PHI)	D	53	0	19	19	19	7	5	32	54	43	9	26	0.00%	56	881	16.63	0	0	0	0	8	0	0	0	0	79	0	0	0.00%	0	10	31	0	0	0.43	0	0	1	0	0	0	0	1
23	Ty Lewis	Philadelphia Phantoms (PHI)	LW	28	7	4	11	3	6	0	21	6	39	7	21	17.95%	6	246	8.82	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	3	3	5	0	0	0.89	0	0	0	0	0	1	1	3
Stats d'équipe Total ou en Moyenne				1547	511	833	1344	542	898	430	1971	1789	3794	1183	2157	13.47%	1075	26388	17.06	96	157	253	247	2021	6	9	15	44	1194	62	15	54.90%	5754	844	708	4	26	1.02	12	24	23	29	34	67	63	60

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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	PS %	PSA	ST	BG	S1	S2	S3
1	Ilya Samsonov	Philadelphia Phantoms (PHI)	46	34	8	1	0.899	3.50	2643	2	0	154	1521	765	0	0.778	9	45	15	3	0	0
2	Tristan Jarry	Philadelphia Phantoms (PHI)	30	19	6	0	0.900	3.42	1544	0	1	88	878	468	4	1.000	3	25	53	2	4	0
3	Oscar Dansk	Philadelphia Phantoms (PHI)	6	4	2	0	0.874	4.32	347	0	0	25	199	105	1	0.714	7	5	4	0	0	1
4	Alex Lyon	Philadelphia Phantoms (PHI)	8	3	3	2	0.871	4.83	422	0	0	34	264	130	1	0.333	3	7	9	0	0	0
Stats d'équipe Total ou en Moyenne			90	60	19	3	0.895	3.64	4958	2	1	301	2862	1468	6	0.727	22	82	81	5	4	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
A.J. Greer	Philadelphia Phantoms (PHI)	LW/RW	21	1996-12-14	No	204 Lbs	6 ft3	No	No	No	1	Pro & Farm	735,000$	0$	0$	No			Lien
Alex Lyon	Philadelphia Phantoms (PHI)	G	25	1992-12-08	No	201 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien
Brendan Perlini	Philadelphia Phantoms (PHI)	LW/RW	22	1996-04-27	No	212 Lbs	6 ft3	No	No	No	1	Pro & Farm	874,125$	0$	0$	No			Lien
Chad Ruhwedel	Philadelphia Phantoms (PHI)	D	28	1990-05-07	No	191 Lbs	5 ft11	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Lien
Connor LaCouvee	Philadelphia Phantoms (PHI)	G	24	1994-05-24	Yes	201 Lbs	6 ft1	No	No	No	1	Pro & Farm	575,000$	0$	0$	No			Lien
Dakota Mermis	Philadelphia Phantoms (PHI)	D	24	1994-01-05	No	188 Lbs	5 ft11	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Dale Weise	Philadelphia Phantoms (PHI)	RW	29	1988-08-05	No	206 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,950,000$	0$	0$	No			Lien
Dean Kukan	Philadelphia Phantoms (PHI)	D	24	1993-07-08	No	186 Lbs	6 ft2	No	No	No	1	Pro & Farm	725,000$	0$	0$	No			Lien
Dennis Cholowski	Philadelphia Phantoms (PHI)	D	20	1998-02-15	Yes	170 Lbs	6 ft0	No	No	No	2	Pro & Farm	894,166$	0$	0$	No	894,166$		Lien
Dennis Yan	Philadelphia Phantoms (PHI)	LW	21	1997-04-14	No	197 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien
Dryden Hunt	Philadelphia Phantoms (PHI)	LW	22	1995-11-24	No	197 Lbs	6 ft0	No	No	No	1	Pro & Farm	715,000$	0$	0$	No			Lien
German Rubtsov	Philadelphia Phantoms (PHI)	C	20	1998-06-27	Yes	178 Lbs	6 ft2	No	No	No	3	Pro & Farm	894,166$	0$	0$	No	894,166$	894,166$	Lien
Givani Smith	Philadelphia Phantoms (PHI)	LW/RW	20	1998-02-27	Yes	204 Lbs	6 ft2	No	No	No	1	Pro & Farm	714,166$	0$	0$	No			Lien
Hunter Miska	Philadelphia Phantoms (PHI)	G	22	1995-07-06	No	170 Lbs	6 ft1	No	No	No	0	Pro & Farm		0$	0$	No			Lien
Ilya Samsonov	Philadelphia Phantoms (PHI)	G	21	1997-02-21	Yes	200 Lbs	6 ft3	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Lien
Jake Bean	Philadelphia Phantoms (PHI)	D	20	1998-06-09	Yes	187 Lbs	6 ft1	No	No	No	3	Pro & Farm	875,000$	0$	0$	No	875,000$	875,000$	Lien
Joey Anderson	Philadelphia Phantoms (PHI)	RW	20	1998-06-19	Yes	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	250,000$	0$	0$	No			Lien
John Marino	Philadelphia Phantoms (PHI)	D	21	1997-05-21 06:26:54	Yes	181 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$
Jon Martin	Philadelphia Phantoms (PHI)	C/RW	22	1995-08-23	No	216 Lbs	6 ft2	No	No	No	0	Pro & Farm		0$	0$	No			Lien
Joshua Ho-Sang	Philadelphia Phantoms (PHI)	C/LW/RW	22	1996-01-22	No	173 Lbs	6 ft0	No	No	No	1	Pro & Farm	874,125$	0$	0$	No			Lien
Juuso Valimaki	Philadelphia Phantoms (PHI)	D	19	1998-10-06	Yes	204 Lbs	6 ft2	No	No	No	2	Pro & Farm	894,166$	0$	0$	No	894,166$		Lien
Kevin Lankinen	Philadelphia Phantoms (PHI)	G	23	1995-04-28	Yes	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Lias Andersson	Philadelphia Phantoms (PHI)	C	19	1998-10-13	No	198 Lbs	5 ft11	No	No	No	2	Pro & Farm	894,166$	0$	0$	No	894,166$		Lien
Max Veronneau	Philadelphia Phantoms (PHI)	RW	22	1995-12-11	Yes	181 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Oscar Dansk	Philadelphia Phantoms (PHI)	G	24	1994-02-28	No	195 Lbs	6 ft3	No	No	No	1	Pro & Farm	675,000$	0$	0$	No			Lien
T.J. Hensick	Philadelphia Phantoms (PHI)	C/LW/RW	32	1985-12-10	No	190 Lbs	5 ft10	No	No	No	1	Pro & Farm	660,000$	0$	0$	No			Lien
Tanner Kero	Philadelphia Phantoms (PHI)	C/LW	25	1992-07-24	No	185 Lbs	6 ft0	No	No	No	2	Pro & Farm	737,500$	0$	0$	No	737,500$		Lien
Tristan Jarry	Philadelphia Phantoms (PHI)	G	23	1995-04-25	No	194 Lbs	6 ft2	No	No	No	1	Pro & Farm	675,000$	0$	0$	No			Lien
Ty Lewis	Philadelphia Phantoms (PHI)	LW	20	1998-03-05	Yes	187 Lbs	5 ft11	No	No	No	3	Pro & Farm	716,666$	0$	0$	No	716,666$	716,666$	Lien
Warren Foegele	Philadelphia Phantoms (PHI)	LW/RW	22	1996-04-01	No	190 Lbs	6 ft2	No	No	No	2	Pro & Farm	746,667$	0$	0$	No	746,667$		Lien
Zac Dalpe	Philadelphia Phantoms (PHI)	C/LW/RW	28	1989-10-31	No	199 Lbs	6 ft2	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
31	22.74	192 Lbs	6 ft1	1.52	761,288$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Joshua Ho-Sang	Zac Dalpe	Brendan Perlini	31	0	2	3
2	Warren Foegele	Tanner Kero	Joey Anderson	29	0	2	3
3	Max Veronneau	German Rubtsov	T.J. Hensick	26	0	2	3
4	Dale Weise	Lias Andersson	Dryden Hunt	14	0	2	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Chad Ruhwedel	John Marino	38	0	2	3
2	Jake Bean	Dennis Cholowski	32	0	2	3
3	Juuso Valimaki	Dakota Mermis	30	0	2	3
4	Dennis Cholowski	John Marino	0	0	2	3

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Joshua Ho-Sang	Zac Dalpe	T.J. Hensick	60	0	0	5
2	Warren Foegele	Tanner Kero	Joey Anderson	40	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	John Marino	Brendan Perlini	60	0	0	5
2	Jake Bean	Dennis Cholowski	40	0	0	5

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Joey Anderson	Dale Weise	60	0	5	0
2	Lias Andersson	Warren Foegele	40	0	5	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Chad Ruhwedel	John Marino	60	0	5	0
2	Jake Bean	Juuso Valimaki	40	0	5	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Dale Weise	60	0	5	0	Chad Ruhwedel	John Marino	60	0	5	0
2	Joey Anderson	40	0	5	0	Jake Bean	Juuso Valimaki	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Zac Dalpe	Joshua Ho-Sang	60	0	2	3
2	T.J. Hensick	Brendan Perlini	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Cholowski	John Marino	60	0	2	3
2	Jake Bean	Juuso Valimaki	40	0	2	3

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
T.J. Hensick	Zac Dalpe	Joshua Ho-Sang	Dennis Cholowski	John Marino

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Warren Foegele	Zac Dalpe	Joey Anderson	Chad Ruhwedel	John Marino

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Lias Andersson, Dryden Hunt, Dale Weise	German Rubtsov, Dale Weise	Lias Andersson

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Chad Ruhwedel, Dennis Cholowski, Jake Bean	Chad Ruhwedel	Dennis Cholowski, Jake Bean

Tirs de Pénalité
T.J. Hensick, Zac Dalpe, German Rubtsov, Dryden Hunt, Jake Bean

Gardien
#1 : Ilya Samsonov, #2 : Tristan Jarry

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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	Binghampton Senators	2	1	1	0	0	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	2	6	-4	2	0.500	6	10	16	0	0	121	166	146	13	84	963	1145	1145	33	58	13	41	48	3	1	33.33%	3	1	66.67%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
2	Boisbriand Armada	2	1	0	0	1	0	0	0	10	8	2	1	0	0	0	1	0	0	0	4	3	1	1	1	0	0	0	0	0	0	6	5	1	4	1.000	10	17	27	0	0	121	166	146	13	77	963	1145	1145	33	72	34	24	37	6	1	16.67%	7	1	85.71%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
3	Brampton Battalion	4	3	1	0	0	0	0	0	30	15	15	1	1	0	0	0	0	0	0	12	4	8	3	2	1	0	0	0	0	0	18	11	7	6	0.750	30	53	83	0	0	121	166	146	13	168	963	1145	1145	33	161	59	105	71	12	9	75.00%	10	3	70.00%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
4	Bridgeport Sound Tigers	4	3	0	0	0	0	1	0	24	13	11	2	1	0	0	0	0	1	0	12	9	3	2	2	0	0	0	0	0	0	12	4	8	8	1.000	24	37	61	0	0	121	166	146	13	160	963	1145	1145	33	130	42	35	70	13	4	30.77%	5	1	80.00%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
5	Calgary Hitman	2	2	0	0	0	0	0	0	20	10	10	1	1	0	0	0	0	0	0	11	6	5	1	1	0	0	0	0	0	0	9	4	5	4	1.000	20	33	53	0	0	121	166	146	13	81	963	1145	1145	33	84	21	36	43	3	1	33.33%	3	1	66.67%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
6	Chicago Wolves	5	3	2	0	0	0	0	0	31	27	4	3	2	1	0	0	0	0	0	23	19	4	2	1	1	0	0	0	0	0	8	8	0	6	0.600	31	47	78	0	0	121	166	146	13	190	963	1145	1145	33	185	64	38	97	13	3	23.08%	9	3	66.67%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
7	Chicoutimi Sagueneens	4	0	1	0	1	1	0	1	17	19	-2	2	0	0	0	0	1	0	1	8	10	-2	2	0	1	0	1	0	0	0	9	9	0	4	0.500	17	27	44	0	0	121	166	146	13	148	963	1145	1145	33	145	61	32	106	12	3	25.00%	11	2	81.82%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
8	Drummondville Voltigeurs	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	4	2	2	2	0.500	5	8	13	0	0	121	166	146	13	80	963	1145	1145	33	70	26	7	37	6	0	0.00%	1	0	100.00%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
9	Grand Rapids Griffins	4	3	1	0	0	0	0	0	25	16	9	2	1	1	0	0	0	0	0	12	10	2	2	2	0	0	0	0	0	0	13	6	7	6	0.750	25	42	67	0	0	121	166	146	13	152	963	1145	1145	33	173	53	43	82	12	3	25.00%	14	5	64.29%	1	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
10	Hartford Wolf Pack	4	3	1	0	0	0	0	0	22	18	4	2	2	0	0	0	0	0	0	11	8	3	2	1	1	0	0	0	0	0	11	10	1	6	0.750	22	41	63	0	0	121	166	146	13	149	963	1145	1145	33	161	45	44	75	14	5	35.71%	11	4	63.64%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
11	Hershey Bears	4	2	1	0	0	0	1	0	19	13	6	3	1	1	0	0	0	1	0	15	11	4	1	1	0	0	0	0	0	0	4	2	2	6	0.750	19	29	48	0	0	121	166	146	13	164	963	1145	1145	33	122	48	55	84	15	5	33.33%	9	1	88.89%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
12	Lake Erie Monsters	2	2	0	0	0	0	0	0	13	5	8	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	8	3	5	4	1.000	13	22	35	0	0	121	166	146	13	75	963	1145	1145	33	83	29	14	53	11	5	45.45%	2	0	100.00%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
13	Las Vegas Wranglers	2	1	1	0	0	0	0	0	9	8	1	1	1	0	0	0	0	0	0	7	2	5	1	0	1	0	0	0	0	0	2	6	-4	2	0.500	9	15	24	0	0	121	166	146	13	62	963	1145	1145	33	61	21	25	58	9	1	11.11%	5	2	60.00%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
14	Laval Rockets	3	0	2	0	0	1	0	0	9	13	-4	1	0	1	0	0	0	0	0	3	4	-1	2	0	1	0	0	1	0	0	6	9	-3	1	0.167	9	15	24	0	0	121	166	146	13	115	963	1145	1145	33	110	43	18	61	4	0	0.00%	9	3	66.67%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
15	London Knights	3	1	2	0	0	0	0	0	18	15	3	2	0	2	0	0	0	0	0	6	10	-4	1	1	0	0	0	0	0	0	12	5	7	2	0.333	18	27	45	0	0	121	166	146	13	137	963	1145	1145	33	115	26	49	70	8	4	50.00%	7	3	57.14%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
16	Lowell Devils	2	2	0	0	0	0	0	0	10	7	3	1	1	0	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	10	18	28	0	0	121	166	146	13	86	963	1145	1145	33	83	34	16	45	4	2	50.00%	8	1	87.50%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
17	Manitoba Moose	3	2	0	0	0	0	1	0	19	6	13	1	0	0	0	0	0	1	0	4	3	1	2	2	0	0	0	0	0	0	15	3	12	6	1.000	19	32	51	0	0	121	166	146	13	127	963	1145	1145	33	97	44	24	57	6	2	33.33%	2	0	100.00%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
18	Milwaukee Admirals	2	1	0	0	0	0	1	0	10	8	2	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	0	0	1	0	7	6	1	4	1.000	10	15	25	0	0	121	166	146	13	87	963	1145	1145	33	76	45	13	48	6	0	0.00%	4	1	75.00%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
19	Peoria Riverman	3	3	0	0	0	0	0	0	33	13	20	2	2	0	0	0	0	0	0	23	10	13	1	1	0	0	0	0	0	0	10	3	7	6	1.000	33	48	81	0	0	121	166	146	13	119	963	1145	1145	33	119	45	44	70	13	8	61.54%	7	2	71.43%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
20	Portland Pirates	3	2	1	0	0	0	0	0	23	20	3	2	1	1	0	0	0	0	0	14	13	1	1	1	0	0	0	0	0	0	9	7	2	4	0.667	23	38	61	0	0	121	166	146	13	109	963	1145	1145	33	120	35	33	59	5	1	20.00%	9	4	55.56%	1	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
21	Quebec Rempart	2	1	0	0	0	0	1	0	6	4	2	1	0	0	0	0	0	1	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	6	9	15	0	0	121	166	146	13	75	963	1145	1145	33	73	22	10	51	3	1	33.33%	5	0	100.00%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
22	Rimouski Oceanic	3	1	1	0	0	0	1	0	5	5	0	1	0	1	0	0	0	0	0	1	3	-2	2	1	0	0	0	0	1	0	4	2	2	4	0.667	5	6	11	0	0	121	166	146	13	123	963	1145	1145	33	60	19	10	77	7	1	14.29%	5	1	80.00%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
23	Rochester Americans	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	5	4	1	4	1.000	8	14	22	0	0	121	166	146	13	82	963	1145	1145	33	61	28	14	58	7	1	14.29%	2	0	100.00%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
24	Seattle Thunderbirds	3	3	0	0	0	0	0	0	12	4	8	1	1	0	0	0	0	0	0	4	2	2	2	2	0	0	0	0	0	0	8	2	6	6	1.000	12	20	32	0	0	121	166	146	13	127	963	1145	1145	33	79	21	11	60	8	3	37.50%	3	1	66.67%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
25	Sherbrooke Phoenix	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	2	0	2	2	0.500	5	7	12	0	1	121	166	146	13	85	963	1145	1145	33	44	12	5	43	8	2	25.00%	0	0	0.00%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
26	Texas Stars	3	2	1	0	0	0	0	0	14	12	2	2	1	1	0	0	0	0	0	8	8	0	1	1	0	0	0	0	0	0	6	4	2	4	0.667	14	23	37	0	0	121	166	146	13	128	963	1145	1145	33	101	30	34	74	11	5	45.45%	7	3	57.14%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
27	Toronto Marlies	2	2	0	0	0	0	0	0	16	5	11	1	1	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	9	3	6	4	1.000	16	28	44	0	0	121	166	146	13	82	963	1145	1145	33	52	22	46	50	6	2	33.33%	3	1	66.67%	1	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
	Total	82	52	19	0	2	2	6	1	441	302	139	41	23	11	0	1	1	4	1	221	164	57	41	29	8	0	1	1	2	0	220	138	82	123	0.750	441	718	1159	0	1	121	166	146	13	3266	963	1145	1145	33	2862	1004	847	1797	241	78	32.37%	169	46	72.78%	3	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
29	Victoriaville Tigres	2	2	0	0	0	0	0	0	12	9	3	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	7	5	2	4	1.000	12	21	33	0	0	121	166	146	13	88	963	1145	1145	33	66	25	6	56	7	4	57.14%	3	2	33.33%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
30	Worcester Sharks	3	2	1	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	3	1	2	2	1	1	0	0	0	0	0	7	5	2	4	0.667	10	16	26	0	0	121	166	146	13	106	963	1145	1145	33	101	37	15	57	9	1	11.11%	5	0	100.00%	0	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
	_Since Last GM Reset	82	52	19	0	2	2	6	1	441	302	139	41	23	11	0	1	1	4	1	221	164	57	41	29	8	0	1	1	2	0	220	138	82	123	0.750	441	718	1159	0	1	121	166	146	13	3266	963	1145	1145	33	2862	1004	847	1797	241	78	32.37%	169	46	72.78%	3	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
	_Vs Conference	49	29	12	0	1	2	4	1	263	185	78	25	13	7	0	0	1	3	1	141	111	30	24	16	5	0	1	1	1	0	122	74	48	71	0.724	263	421	684	0	0	121	166	146	13	1917	963	1145	1145	33	1703	587	436	1029	142	44	30.99%	106	30	71.70%	2	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793

			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	123	SOW1	441	718	1159	3266	2862	1004	847	1797	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	52	19	2	2	6	1	441	302

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	23	11	1	1	4	1	221	164

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	29	8	1	1	2	0	220	138

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
7	1	1	0	1	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
241	78	32.37%	169	46	72.78%	3

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
963	1145	1145	33	121	166	146	13

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
907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%

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
1822	1041	1615	728	1522	793

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 - 2019-10-04	3	Hershey Bears	1	Philadelphia Phantoms	6	W			Sommaire du Match
4 - 2019-10-07	26	Philadelphia Phantoms	7	Manitoba Moose	2	W			Sommaire du Match
5 - 2019-10-08	43	London Knights	5	Philadelphia Phantoms	3	L			Sommaire du Match
6 - 2019-10-09	50	Philadelphia Phantoms	1	Brampton Battalion	4	L			Sommaire du Match
8 - 2019-10-11	72	Philadelphia Phantoms	7	Hartford Wolf Pack	8	L			Sommaire du Match
9 - 2019-10-12	84	Hershey Bears	6	Philadelphia Phantoms	7	W	X	X	Sommaire du Match
12 - 2019-10-15	105	Bridgeport Sound Tigers	7	Philadelphia Phantoms	8	W	X	X	Sommaire du Match
13 - 2019-10-16	119	Philadelphia Phantoms	5	Bridgeport Sound Tigers	1	W			Sommaire du Match
14 - 2019-10-17	128	Philadelphia Phantoms	7	Grand Rapids Griffins	1	W			Sommaire du Match
16 - 2019-10-19	146	Chicago Wolves	4	Philadelphia Phantoms	7	W			Sommaire du Match
18 - 2019-10-21	164	Grand Rapids Griffins	5	Philadelphia Phantoms	8	W			Sommaire du Match
19 - 2019-10-22	176	Philadelphia Phantoms	3	Chicago Wolves	4	L			Sommaire du Match
21 - 2019-10-24	190	Philadelphia Phantoms	2	Worcester Sharks	3	L			Sommaire du Match
23 - 2019-10-26	203	Hartford Wolf Pack	5	Philadelphia Phantoms	6	W			Sommaire du Match
25 - 2019-10-28	221	Portland Pirates	7	Philadelphia Phantoms	6	L			Sommaire du Match
26 - 2019-10-29	233	Philadelphia Phantoms	3	Chicoutimi Sagueneens	4	L			Sommaire du Match
27 - 2019-10-30	247	Chicoutimi Sagueneens	4	Philadelphia Phantoms	3	L	X	X	Sommaire du Match
29 - 2019-11-01	261	Philadelphia Phantoms	8	Lake Erie Monsters	3	W			Sommaire du Match
30 - 2019-11-02	276	Philadelphia Phantoms	4	Hartford Wolf Pack	2	W			Sommaire du Match
31 - 2019-11-03	284	Philadelphia Phantoms	6	Boisbriand Armada	5	W			Sommaire du Match
33 - 2019-11-05	300	Milwaukee Admirals	2	Philadelphia Phantoms	3	W			Sommaire du Match
34 - 2019-11-06	318	Worcester Sharks	1	Philadelphia Phantoms	3	W			Sommaire du Match
37 - 2019-11-09	335	Philadelphia Phantoms	2	Las Vegas Wranglers	6	L			Sommaire du Match
38 - 2019-11-10	351	Lowell Devils	5	Philadelphia Phantoms	6	W			Sommaire du Match
40 - 2019-11-12	369	Chicoutimi Sagueneens	6	Philadelphia Phantoms	5	L	X		Sommaire du Match
41 - 2019-11-13	381	Philadelphia Phantoms	6	Grand Rapids Griffins	5	W			Sommaire du Match
43 - 2019-11-15	392	Philadelphia Phantoms	9	Calgary Hitman	4	W			Sommaire du Match
44 - 2019-11-16	410	Grand Rapids Griffins	5	Philadelphia Phantoms	4	L			Sommaire du Match
46 - 2019-11-18	427	Philadelphia Phantoms	6	Texas Stars	4	W			Sommaire du Match
47 - 2019-11-19	440	Hartford Wolf Pack	3	Philadelphia Phantoms	5	W			Sommaire du Match
48 - 2019-11-20	451	Philadelphia Phantoms	3	Quebec Rempart	2	W			Sommaire du Match
50 - 2019-11-22	468	Portland Pirates	6	Philadelphia Phantoms	8	W			Sommaire du Match
52 - 2019-11-24	487	Philadelphia Phantoms	9	Portland Pirates	7	W			Sommaire du Match
53 - 2019-11-25	499	Lake Erie Monsters	2	Philadelphia Phantoms	5	W			Sommaire du Match
55 - 2019-11-27	516	Philadelphia Phantoms	4	Lowell Devils	2	W			Sommaire du Match
56 - 2019-11-28	528	Philadelphia Phantoms	7	Victoriaville Tigres	5	W			Sommaire du Match
57 - 2019-11-29	538	Quebec Rempart	2	Philadelphia Phantoms	3	W	X	X	Sommaire du Match
59 - 2019-12-01	559	Hershey Bears	4	Philadelphia Phantoms	2	L			Sommaire du Match
61 - 2019-12-03	577	Philadelphia Phantoms	8	Brampton Battalion	5	W			Sommaire du Match
63 - 2019-12-05	589	Bridgeport Sound Tigers	2	Philadelphia Phantoms	4	W			Sommaire du Match
64 - 2019-12-06	606	Philadelphia Phantoms	7	Milwaukee Admirals	6	W	X	X	Sommaire du Match
66 - 2019-12-08	620	Philadelphia Phantoms	5	Chicago Wolves	4	W			Sommaire du Match
67 - 2019-12-09	629	Drummondville Voltigeurs	3	Philadelphia Phantoms	1	L			Sommaire du Match
69 - 2019-12-11	647	Toronto Marlies	2	Philadelphia Phantoms	7	W			Sommaire du Match
71 - 2019-12-13	669	Laval Rockets	4	Philadelphia Phantoms	3	L			Sommaire du Match
73 - 2019-12-15	682	Philadelphia Phantoms	3	Laval Rockets	4	L	X		Sommaire du Match
74 - 2019-12-16	697	Chicago Wolves	6	Philadelphia Phantoms	8	W			Sommaire du Match
75 - 2019-12-17	707	Philadelphia Phantoms	12	London Knights	5	W			Sommaire du Match
77 - 2019-12-19	728	Victoriaville Tigres	4	Philadelphia Phantoms	5	W			Sommaire du Match
79 - 2019-12-21	743	Philadelphia Phantoms	7	Bridgeport Sound Tigers	3	W			Sommaire du Match
80 - 2019-12-22	757	Chicago Wolves	9	Philadelphia Phantoms	8	L			Sommaire du Match
81 - 2019-12-23	768	Philadelphia Phantoms	9	Toronto Marlies	3	W			Sommaire du Match
83 - 2019-12-25	786	Philadelphia Phantoms	9	Brampton Battalion	2	W			Sommaire du Match
84 - 2019-12-26	797	Philadelphia Phantoms	5	Worcester Sharks	2	W			Sommaire du Match
85 - 2019-12-27	807	Brampton Battalion	4	Philadelphia Phantoms	12	W			Sommaire du Match
87 - 2019-12-29	829	Texas Stars	3	Philadelphia Phantoms	5	W			Sommaire du Match
90 - 2020-01-01	850	Binghampton Senators	2	Philadelphia Phantoms	4	W			Sommaire du Match
92 - 2020-01-03	871	Sherbrooke Phoenix	5	Philadelphia Phantoms	3	L			Sommaire du Match
93 - 2020-01-04	881	Philadelphia Phantoms	3	Laval Rockets	5	L			Sommaire du Match
94 - 2020-01-05	893	Philadelphia Phantoms	5	Rochester Americans	4	W			Sommaire du Match
96 - 2020-01-07	911	Philadelphia Phantoms	2	Sherbrooke Phoenix	0	W			Sommaire du Match
97 - 2020-01-08	920	London Knights	5	Philadelphia Phantoms	3	L			Sommaire du Match
99 - 2020-01-10	940	Philadelphia Phantoms	4	Hershey Bears	2	W			Sommaire du Match
100 - 2020-01-11	951	Calgary Hitman	6	Philadelphia Phantoms	11	W			Sommaire du Match
102 - 2020-01-13	973	Peoria Riverman	6	Philadelphia Phantoms	12	W			Sommaire du Match
104 - 2020-01-15	984	Philadelphia Phantoms	10	Peoria Riverman	3	W			Sommaire du Match
105 - 2020-01-16	998	Philadelphia Phantoms	2	Binghampton Senators	6	L			Sommaire du Match
107 - 2020-01-18	1010	Philadelphia Phantoms	2	Rimouski Oceanic	1	W	X	X	Sommaire du Match
108 - 2020-01-19	1015	Boisbriand Armada	3	Philadelphia Phantoms	4	W	X		Sommaire du Match
110 - 2020-01-21	1039	Rimouski Oceanic	3	Philadelphia Phantoms	1	L			Sommaire du Match
111 - 2020-01-22	1047	Philadelphia Phantoms	2	Rimouski Oceanic	1	W			Sommaire du Match
112 - 2020-01-23	1061	Philadelphia Phantoms	4	Drummondville Voltigeurs	2	W			Sommaire du Match
114 - 2020-01-25	1075	Peoria Riverman	4	Philadelphia Phantoms	11	W			Sommaire du Match
116 - 2020-01-27	1093	Philadelphia Phantoms	8	Manitoba Moose	1	W			Sommaire du Match
117 - 2020-01-28	1106	Las Vegas Wranglers	2	Philadelphia Phantoms	7	W			Sommaire du Match
120 - 2020-01-31	1130	Rochester Americans	1	Philadelphia Phantoms	3	W			Sommaire du Match
122 - 2020-02-02	1145	Philadelphia Phantoms	3	Seattle Thunderbirds	1	W			Sommaire du Match
123 - 2020-02-03	1158	Seattle Thunderbirds	2	Philadelphia Phantoms	4	W			Sommaire du Match
124 - 2020-02-04	1167	Philadelphia Phantoms	6	Chicoutimi Sagueneens	5	W	X		Sommaire du Match
125 - 2020-02-05	1172	Philadelphia Phantoms	5	Seattle Thunderbirds	1	W			Sommaire du Match
128 - 2020-02-08	1195	Texas Stars	5	Philadelphia Phantoms	3	L			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
132 - 2020-02-12	1218	Manitoba Moose	3	Philadelphia Phantoms	4	W	X	X	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	35	15
Assistance	64,199	32,459
Assistance PCT	78.29%	79.17%

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	2358 - 78.58%	99,352$	4,073,437$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,347,062$	2,359,993$	2,255,081$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	2,347,062$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	18,060$	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
2019	82	52	19	0	2	2	6	1	441	302	139	41	23	11	0	1	1	4	1	221	164	57	41	29	8	0	1	1	2	0	220	138	82	123	441	718	1159	0	1	121	166	146	13	3266	963	1145	1145	33	2862	1004	847	1797	241	78	32.37%	169	46	72.78%	3	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793
Total Saison Régulière	82	52	19	0	2	2	6	1	441	302	139	41	23	11	0	1	1	4	1	221	164	57	41	29	8	0	1	1	2	0	220	138	82	123	441	718	1159	0	1	121	166	146	13	3266	963	1145	1145	33	2862	1004	847	1797	241	78	32.37%	169	46	72.78%	3	907	1696	53.48%	1026	1843	55.67%	809	1488	54.37%	1822	1041	1615	728	1522	793