LAAHS - Philadelphia Phantoms

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Stats d'équipe en Carrière

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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	90	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	90	64	0
3	Dale Weise			X		100.00	82	57	88	73	77	62	69	58	36	61	59	77	25	72	74	66	90	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	88	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	90	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	90	63	0
7	Joey Anderson (R)			X		100.00	77	43	93	70	69	64	60	63	50	59	62	79	25	47	47	67	81	62	0
8	Lias Andersson	X				100.00	79	57	80	78	71	57	83	59	58	60	57	70	25	48	48	64	90	62	0
9	Dryden Hunt		X			100.00	86	45	91	72	71	58	91	59	25	68	59	59	45	56	56	65	90	62	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	90	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	90	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	82	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	90	67	0
14	Chad Ruhwedel				X	100.00	87	45	92	72	69	70	55	61	25	46	48	76	25	60	61	61	86	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	90	62	0
16	Jake Bean (R) (A)				X	100.00	75	69	88	77	69	67	69	59	25	52	52	63	49	44	44	62	90	61	0
17	Dakota Mermis				X	100.00	70	67	78	67	67	75	81	52	25	47	41	61	39	53	53	54	90	59	0
18	Dean Kukan				X	100.00	67	42	91	68	70	63	57	61	25	54	47	60	25	56	56	58	49	58	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	25	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	72	57	0
3	Dennis Yan		X			100.00	74	72	78	65	72	62	64	57	50	50	58	64	55	52	52	60	65	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	24	57	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	25	53	0
6	Juuso Valimaki (R)				X	100.00	73	43	85	78	75	68	62	55	25	48	48	73	25	46	46	60	86	62	0

	MOYENNE D'ÉQUIPE					100.00	73	56	84	71	71	65	71	61	44	57	57	66	40	51	51	63	77	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	90	69	0
2	Tristan Jarry	100.00	62	70	88	76	62	65	55	65	60	59	30	46	46	62	90	62	0
Rayé
1	Alex Lyon	100.00	62	69	86	75	63	66	53	64	60	59	30	45	45	62	24	61	0
2	Oscar Dansk	100.00	60	61	76	79	60	62	59	66	62	61	30	44	44	61	25	60	0
3	Connor LaCouvee (R)	100.00	59	54	68	75	61	59	60	65	61	61	30	44	44	60	24	59	0
4	Kevin Lankinen (R)	100.00	58	51	64	73	60	58	59	64	60	60	30	44	44	59	25	58	0
5	Hunter Miska	100.00	51	61	76	63	48	51	50	56	49	49	30	44	44	52	25	52	0

	MOYENNE D'ÉQUIPE	100.00	61	62	77	74	61	62	58	64	61	61	34	45	45	61	43	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	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	PSS	FW	FL	FT	S1	S2	S3
1	Joshua Ho-Sang	Philadelphia Phantoms (PHI)	C/LW/RW	21	17	18	35	15	2	0	14	26	113	29	82	15.04%	16	425	20.25	3	5	8	11	45	0	6	2	2	35.56%	45	31	9	0	1.65	0	0	0	0	4	2	2
2	Joey Anderson	Philadelphia Phantoms (PHI)	RW	21	13	12	25	2	2	0	32	23	64	21	22	20.31%	11	359	17.12	3	1	4	8	31	0	14	1	0	37.25%	51	10	11	0	1.39	0	0	0	0	0	2	4
3	Brendan Perlini	Philadelphia Phantoms (PHI)	LW/RW	21	11	12	23	14	7	5	24	18	86	29	45	12.79%	14	409	19.51	2	2	4	7	48	0	0	4	0	30.56%	36	31	2	1	1.12	0	0	1	0	2	2	0
4	Tanner Kero	Philadelphia Phantoms (PHI)	C/LW	19	6	14	20	0	7	5	16	19	64	20	42	9.38%	6	302	15.94	1	3	4	3	29	0	0	0	2	55.85%	265	10	3	0	1.32	0	0	1	0	1	0	0
5	T.J. Hensick	Philadelphia Phantoms (PHI)	C/LW/RW	21	7	10	17	6	5	5	28	18	66	30	51	10.61%	14	347	16.54	2	1	3	4	29	0	6	2	0	48.19%	83	10	6	1	0.98	0	0	0	1	1	0	1
6	German Rubtsov	Philadelphia Phantoms (PHI)	C	21	9	8	17	6	0	0	26	31	74	17	43	12.16%	4	315	15.01	0	1	1	1	8	0	0	2	0	50.92%	271	11	6	0	1.08	0	0	0	0	2	1	1
7	Lias Andersson	Philadelphia Phantoms (PHI)	C	21	5	11	16	3	16	10	27	22	42	16	29	11.90%	5	231	11.00	0	0	0	0	0	0	10	0	0	47.67%	86	14	5	0	1.38	0	2	0	0	0	1	2
8	Warren Foegele	Philadelphia Phantoms (PHI)	LW/RW	21	8	8	16	3	0	0	37	31	53	20	26	15.09%	11	355	16.92	1	2	3	1	33	2	6	2	1	38.89%	18	7	6	0	0.90	0	0	0	0	1	0	0
9	Zac Dalpe	Philadelphia Phantoms (PHI)	C/LW/RW	18	4	11	15	12	15	15	33	25	34	12	25	11.76%	14	326	18.14	0	5	5	0	34	0	0	1	1	62.83%	460	3	12	0	0.92	0	2	1	0	1	0	1
10	Dale Weise	Philadelphia Phantoms (PHI)	RW	21	5	9	14	4	2	0	19	19	28	9	18	17.86%	6	240	11.47	0	0	0	0	3	0	16	1	0	57.14%	7	5	4	0	1.16	0	0	0	0	0	0	2
11	Dryden Hunt	Philadelphia Phantoms (PHI)	LW	21	5	7	12	6	0	0	16	10	39	8	15	12.82%	1	206	9.84	0	0	0	0	0	0	1	0	0	42.86%	7	6	5	0	1.16	0	0	0	0	0	1	1
12	Chad Ruhwedel	Philadelphia Phantoms (PHI)	D	21	2	9	11	10	2	0	36	24	27	12	17	7.41%	27	485	23.13	1	0	1	2	17	0	19	0	1	0.00%	0	3	14	0	0.45	1	0	0	0	1	0	0
13	Dakota Mermis	Philadelphia Phantoms (PHI)	D	21	1	8	9	15	2	0	24	19	13	4	3	7.69%	18	357	17.02	0	0	0	0	0	0	0	1	0	0.00%	0	6	12	0	0.50	0	0	0	0	0	1	0
14	John Marino	Philadelphia Phantoms (PHI)	D	21	1	7	8	8	6	0	35	40	33	13	24	3.03%	30	518	24.69	1	1	2	2	48	0	16	0	0	0.00%	0	18	14	0	0.31	0	0	0	0	0	0	0
15	Dennis Cholowski	Philadelphia Phantoms (PHI)	D	21	1	5	6	-1	4	0	14	17	26	9	15	3.85%	22	416	19.84	0	0	0	2	30	0	7	0	0	0.00%	0	10	9	0	0.29	0	0	0	0	0	0	0
16	Max Veronneau	Philadelphia Phantoms (PHI)	RW	21	4	2	6	-1	0	0	7	23	47	7	19	8.51%	6	301	14.35	0	0	0	0	0	0	0	0	0	46.15%	13	3	2	0	0.40	0	0	0	0	0	0	1
17	Jake Bean	Philadelphia Phantoms (PHI)	D	21	0	6	6	-1	8	0	32	24	16	9	14	0.00%	27	412	19.65	0	1	1	0	30	0	9	0	0	0.00%	0	8	15	0	0.29	0	0	0	0	0	0	0
18	Juuso Valimaki	Philadelphia Phantoms (PHI)	D	12	0	4	4	10	0	0	7	12	7	5	11	0.00%	23	205	17.11	0	0	0	0	0	0	8	0	0	0.00%	0	2	8	0	0.39	0	0	0	0	0	0	0
19	Dean Kukan	Philadelphia Phantoms (PHI)	D	9	0	2	2	3	0	0	3	9	5	1	1	0.00%	10	159	17.70	0	0	0	0	0	1	3	0	0	0.00%	0	1	3	0	0.25	0	0	0	0	0	0	0
20	A.J. Greer	Philadelphia Phantoms (PHI)	LW/RW	1	0	0	0	-3	0	0	3	1	7	0	2	0.00%	0	14	14.25	0	0	0	0	0	0	0	0	0	0.00%	1	0	0	0	0.00	0	0	0	0	0	0	0
21	Dennis Yan	Philadelphia Phantoms (PHI)	LW	1	0	0	0	-1	0	0	2	0	0	0	0	0.00%	0	8	8.02	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				375	99	163	262	110	78	40	435	411	844	271	504	11.73%	265	6398	17.06	14	22	36	41	393	3	130	16	7	53.76%	1343	189	146	2	0.82	1	4	3	1	13	10	15

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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	Ilya Samsonov	Philadelphia Phantoms (PHI)	21	16	1	4	0.921	3.10	1295	0	0	67	843	455	2	0	0.000	0	21	0	2	6	1
Stats d'équipe Total ou en Moyenne			21	16	1	4	0.921	3.10	1295	0	0	67	843	455	2	0	0.000	0	21	0	2	6	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	34	0	2	3
2	Warren Foegele	Tanner Kero	Joey Anderson	28	0	2	3
3	Max Veronneau	German Rubtsov	T.J. Hensick	26	0	2	3
4	Dryden Hunt	Lias Andersson	Dale Weise	12	0	2	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Chad Ruhwedel	John Marino	38	1	3	1
2	Jake Bean	Dennis Cholowski	32	1	3	1
3	Dean Kukan	Dakota Mermis	30	1	3	1
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	Brendan Perlini	55	0	1	4
2	Warren Foegele	Tanner Kero	Joey Anderson	45	0	1	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	John Marino	Chad Ruhwedel	55	0	2	3
2	Jake Bean	Dennis Cholowski	45	0	2	3

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	Dean Kukan	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	Dean Kukan	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	T.J. Hensick	Joshua Ho-Sang	60	0	2	3
2	German Rubtsov	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	Dean Kukan	40	0	2	3

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brendan Perlini	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
Joshua Ho-Sang, Joey Anderson, 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, Joshua Ho-Sang, 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	Calgary Hitman	5	4	1	0	0	0	0	0	24	15	9	3	3	0	0	0	0	0	0	16	9	7	2	1	1	0	0	0	0	0	8	6	2	8	0.800	24	40	64	0	0	17	43	39	0	189	245	314	277	8	205	59	15	81	12	4	33.33%	4	2	50.00%	0	257	482	53.32%	275	497	55.33%	196	379	51.72%	479	279	432	179	383	204
2	Chicoutimi Sagueneens	5	4	1	0	0	0	0	0	20	12	8	3	3	0	0	0	0	0	0	10	6	4	2	1	1	0	0	0	0	0	10	6	4	8	0.800	20	35	55	0	0	17	43	39	0	202	245	314	277	8	173	65	29	107	15	2	13.33%	8	0	100.00%	0	257	482	53.32%	275	497	55.33%	196	379	51.72%	479	279	432	179	383	204
3	Hershey Bears	5	4	1	0	0	0	0	0	27	17	10	3	2	1	0	0	0	0	0	18	11	7	2	2	0	0	0	0	0	0	9	6	3	8	0.800	27	43	70	0	0	17	43	39	0	201	245	314	277	8	207	54	19	102	8	3	37.50%	2	1	50.00%	0	257	482	53.32%	275	497	55.33%	196	379	51.72%	479	279	432	179	383	204
4	Manitoba Moose	6	4	2	0	0	0	0	0	28	23	5	3	2	1	0	0	0	0	0	11	12	-1	3	2	1	0	0	0	0	0	17	11	6	8	0.667	28	45	73	0	0	17	43	39	0	252	245	314	277	8	258	88	15	145	18	5	27.78%	5	1	80.00%	0	257	482	53.32%	275	497	55.33%	196	379	51.72%	479	279	432	179	383	204
	Total	21	16	5	0	0	0	0	0	99	67	32	12	10	2	0	0	0	0	0	55	38	17	9	6	3	0	0	0	0	0	44	29	15	32	0.762	99	163	262	0	0	17	43	39	0	844	245	314	277	8	843	266	78	435	53	14	26.42%	19	4	78.95%	0	257	482	53.32%	275	497	55.33%	196	379	51.72%	479	279	432	179	383	204
	_Since Last GM Reset	21	16	5	0	0	0	0	0	99	67	32	12	10	2	0	0	0	0	0	55	38	17	9	6	3	0	0	0	0	0	44	29	15	32	0.762	99	163	262	0	0	17	43	39	0	844	245	314	277	8	843	266	78	435	53	14	26.42%	19	4	78.95%	0	257	482	53.32%	275	497	55.33%	196	379	51.72%	479	279	432	179	383	204
	_Vs Conference	16	12	4	0	0	0	0	0	75	52	23	9	7	2	0	0	0	0	0	39	29	10	7	5	2	0	0	0	0	0	36	23	13	24	0.750	75	123	198	0	0	17	43	39	0	655	245	314	277	8	638	207	63	354	41	10	24.39%	15	2	86.67%	0	257	482	53.32%	275	497	55.33%	196	379	51.72%	479	279	432	179	383	204

			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
21	32	W1	99	163	262	844	843	266	78	435	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
21	16	5	0	0	0	0	99	67

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	10	2	0	0	0	0	55	38

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	6	3	0	0	0	0	44	29

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
8	0	0	2	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
53	14	26.42%	19	4	78.95%	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
245	314	277	8	17	43	39	0

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
257	482	53.32%	275	497	55.33%	196	379	51.72%

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
479	279	432	179	383	204

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	Lien
1 - 2019-10-04	1	Chicoutimi Sagueneens	1	Philadelphia Phantoms	3	W		Sommaire du Match
2 - 2019-10-05	9	Chicoutimi Sagueneens	3	Philadelphia Phantoms	4	W		Sommaire du Match
3 - 2019-10-06	17	Philadelphia Phantoms	4	Chicoutimi Sagueneens	5	L	X	Sommaire du Match
4 - 2019-10-07	25	Philadelphia Phantoms	6	Chicoutimi Sagueneens	1	W		Sommaire du Match
5 - 2019-10-08	33	Chicoutimi Sagueneens	2	Philadelphia Phantoms	3	W		Sommaire du Match
8 - 2019-10-11	57	Manitoba Moose	3	Philadelphia Phantoms	5	W		Sommaire du Match
9 - 2019-10-12	61	Manitoba Moose	2	Philadelphia Phantoms	3	W		Sommaire du Match
10 - 2019-10-13	65	Philadelphia Phantoms	4	Manitoba Moose	5	L	X	Sommaire du Match
11 - 2019-10-14	69	Philadelphia Phantoms	6	Manitoba Moose	2	W		Sommaire du Match
12 - 2019-10-15	73	Manitoba Moose	7	Philadelphia Phantoms	3	L		Sommaire du Match
13 - 2019-10-16	77	Philadelphia Phantoms	7	Manitoba Moose	4	W		Sommaire du Match
15 - 2019-10-18	85	Hershey Bears	8	Philadelphia Phantoms	7	L	X	Sommaire du Match
16 - 2019-10-19	87	Hershey Bears	2	Philadelphia Phantoms	6	W		Sommaire du Match
17 - 2019-10-20	89	Philadelphia Phantoms	4	Hershey Bears	3	W		Sommaire du Match
18 - 2019-10-21	91	Philadelphia Phantoms	5	Hershey Bears	3	W		Sommaire du Match
19 - 2019-10-22	93	Hershey Bears	1	Philadelphia Phantoms	5	W		Sommaire du Match
22 - 2019-10-25	99	Calgary Hitman	4	Philadelphia Phantoms	6	W		Sommaire du Match
23 - 2019-10-26	100	Calgary Hitman	3	Philadelphia Phantoms	5	W		Sommaire du Match
24 - 2019-10-27	101	Philadelphia Phantoms	5	Calgary Hitman	2	W		Sommaire du Match
25 - 2019-10-28	102	Philadelphia Phantoms	3	Calgary Hitman	4	L	X	Sommaire du Match
26 - 2019-10-29	103	Calgary Hitman	2	Philadelphia Phantoms	5	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	35	15
Assistance	23,258	11,696
Assistance PCT	96.91%	97.47%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
29	2913 - 97.09%	122,859$	1,474,311$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	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$	0$	0	0

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

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Saison Régulière
2016	82	34	31	0	9	4	2	2	370	351	19	41	20	17	0	1	0	2	1	201	183	18	41	14	14	0	8	4	0	1	169	168	1	68	370	588	958	2	0	93	136	130	13	2977	835	1111	1008	38	2851	1031	1560	1955	237	62	26.16%	201	64	68.16%	7	849	1820	46.65%	845	1765	47.88%	666	1500	44.40%	1728	944	1659	770	1566	783
2017	82	30	38	0	1	4	7	2	347	343	4	41	14	20	0	0	3	2	2	171	172	-1	41	16	18	0	1	1	5	0	176	171	5	60	347	552	899	2	0	70	141	128	12	3032	926	1093	999	44	2930	906	1460	1923	245	60	24.49%	239	73	69.46%	9	917	1779	51.55%	914	1809	50.53%	706	1447	48.79%	1767	979	1655	763	1550	782
2018	82	34	37	0	4	3	3	1	339	320	19	41	19	16	0	3	0	2	1	175	146	29	41	15	21	0	1	3	1	0	164	174	-10	68	339	563	902	2	3	65	137	130	7	2665	741	972	928	36	2884	960	761	1684	208	69	33.17%	192	62	67.71%	3	847	1566	54.09%	884	1676	52.74%	729	1377	52.94%	1678	884	1663	767	1609	825
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	104	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	328	150	125	0	16	13	18	6	1497	1316	181	164	76	64	0	5	4	10	5	768	665	103	164	74	61	0	11	9	8	1	729	651	78	300	1497	2421	3918	6	4	349	580	534	45	11940	3465	4321	4080	151	11527	3901	4628	7359	931	269	28.89%	801	245	69.41%	22	3520	6861	51.30%	3669	7093	51.73%	2910	5812	50.07%	6997	3849	6594	3030	6248	3184
2019	21	16	5	0	0	0	0	0	99	67	32	12	10	2	0	0	0	0	0	55	38	17	9	6	3	0	0	0	0	0	44	29	15	32	99	163	262	0	0	17	43	39	0	844	245	314	277	8	843	266	78	435	53	14	26.42%	19	4	78.95%	0	257	482	53.32%	275	497	55.33%	196	379	51.72%	479	279	432	179	383	204
Total Séries	21	16	5	0	0	0	0	0	99	67	32	12	10	2	0	0	0	0	0	55	38	17	9	6	3	0	0	0	0	0	44	29	15	32	99	163	262	0	0	17	43	39	0	844	245	314	277	8	843	266	78	435	53	14	26.42%	19	4	78.95%	0	257	482	53.32%	275	497	55.33%	196	379	51.72%	479	279	432	179	383	204