Ligue de Hockey Simulé de l'Estrie

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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	Melker Karlsson (C)		X			100.00	71	34	87	87	55	73	92	55	51	48	62	79	59	69	78	0	50	72	0
2	Marcus Sorensen		X			100.00	70	37	91	88	52	73	83	57	50	50	64	77	60	63	75	0	68	72	0
3	Austin Wagner (R)			X		100.00	96	34	90	87	59	66	75	57	48	50	63	64	59	48	70	0	34	71	0
4	Noah Gregor (R)	X				100.00	57	25	74	82	57	77	70	67	60	64	68	55	67	45	45	0	50	71	0
5	David Kampf	X				100.00	60	35	92	86	62	72	71	56	67	55	55	78	53	54	68	0	50	70	0
6	Stefan Noesen			X		100.00	94	37	84	83	66	68	64	54	51	50	58	67	56	60	75	0	50	70	0
7	Nicholas Caamano (R)			X		100.00	67	25	56	81	68	80	76	55	60	51	59	58	55	45	45	0	50	67	0
8	Derek Dorsett			X		100.00	72	60	79	85	59	57	33	54	45	46	62	71	58	81	82	0	50	67	0
9	Joakim Nygard (R)		X			100.00	52	25	79	83	55	78	76	55	60	48	62	57	55	60	45	0	50	66	0
10	Austin Czarnik	X				100.00	49	33	94	87	46	66	59	53	50	51	55	59	54	63	67	0	50	64	0
11	Sonny Milano		X			100.00	52	34	94	84	60	62	46	53	47	45	59	55	56	51	61	0	50	62	0
12	Nick Paul	X				100.00	53	36	95	79	80	58	25	46	49	41	51	59	50	54	61	0	44	60	0
13	Jordan Oesterle (A)				X	100.00	64	31	93	87	53	73	78	60	49	57	61	75	58	63	74	0	29	73	0
14	Jani Hakanpaa (R)				X	100.00	70	25	59	76	74	69	83	59	65	59	59	70	59	60	45	0	50	71	0
15	Radim Simek (R) (A)				X	100.00	75	31	93	83	57	62	50	54	49	56	52	71	51	63	74	0	44	69	0
16	Joakim Ryan				X	100.00	59	33	92	85	52	66	64	54	49	54	54	65	53	60	69	0	50	67	0
17	Tim Heed				X	100.00	50	31	94	87	50	68	42	56	49	56	55	63	57	66	70	0	50	66	0
18	Alexander Yelesin (R)				X	100.00	70	25	73	83	57	64	65	53	65	49	56	64	53	48	45	0	50	65	0
Rayé
1	Nikolay Goldobin			X		100.00	50	34	92	84	59	71	67	57	48	56	57	60	55	54	64	0	50	67	0
2	Austin Poganski (R)			X		100.00	52	25	83	77	63	79	74	56	60	54	58	54	56	51	45	0	47	66	0
3	Lukas Radil	X				100.00	53	34	95	85	70	60	39	50	48	43	56	60	55	69	70	0	50	64	0
4	Dryden Hunt (R)		X			100.00	67	34	94	84	59	62	37	50	48	47	53	60	52	54	65	0	50	63	0
5	Danil Yurtaikin (R)		X			100.00	53	25	86	83	48	70	49	52	60	47	57	54	52	48	45	0	50	61	0
6	Justin Bailey			X		100.00	50	36	95	82	75	57	29	47	48	41	52	63	51	54	61	0	50	61	0
7	Antti Suomela (R)	X				100.00	48	34	95	86	55	61	33	49	54	45	53	56	52	57	62	0	47	60	0
8	Alexandre Fortin (R)		X			100.00	52	34	95	85	57	60	29	48	48	43	53	63	52	48	59	0	47	60	0
9	Joel L'Esperance (R)			X		100.00	52	35	95	82	69	59	25	46	49	40	52	55	51	54	60	0	50	59	0
10	Zack MacEwen (R)			X		100.00	46	38	95	83	70	65	25	46	47	41	50	56	50	51	58	0	50	59	0
11	Patrick Russell (R)			X		100.00	48	35	95	82	65	56	25	45	48	40	50	64	50	60	64	0	47	59	0
12	Eric Robinson (R)			X		100.00	53	35	95	83	66	58	25	45	48	40	50	55	50	54	60	0	50	58	0
13	Adam Johnson (R)	X				100.00	49	33	95	87	53	56	25	46	48	42	50	55	50	57	61	0	50	58	0
14	Kole Sherwood (R)			X		100.00	48	35	95	82	65	55	25	45	47	40	50	55	50	48	56	0	50	57	0
15	Dylan Gambrell (R)			X		100.00	50	34	95	83	60	56	25	45	49	40	50	56	50	51	58	0	50	57	0
16	Anthony Greco (R)			X		100.00	45	33	95	85	50	55	25	45	48	40	50	55	50	60	62	0	50	57	0
17	Henrik Haapala (R)		X			100.00	45	30	95	87	44	50	25	45	40	40	50	55	50	57	60	0	47	56	0
18	Matthew Highmore (R)		X			100.00	45	30	95	85	54	50	25	45	40	40	50	55	50	51	57	0	47	56	0
19	Kurtis MacDermid				X	100.00	64	43	92	80	80	59	33	49	48	47	51	61	51	57	66	0	50	64	0
20	Brennan Menell (R)				X	100.00	51	25	83	80	49	65	79	58	65	61	55	58	58	45	45	0	40	64	0
21	Christian Wolanin (R)				X	100.00	49	31	94	87	58	60	36	56	48	53	58	62	56	54	64	0	50	64	0
22	Gustav Lindstrom (R)				X	100.00	65	25	74	79	59	64	63	51	65	48	55	58	51	42	45	0	50	63	0
23	Ashton Sautner (R)				X	100.00	53	31	95	84	59	55	25	48	48	46	50	58	50	57	63	0	50	60	0
24	Jacob Middleton (R)				X	100.00	45	32	95	82	68	51	25	48	47	46	50	57	50	51	59	0	50	59	0
25	Dennis Gilbert (R)				X	100.00	47	32	95	81	68	50	25	48	47	45	50	55	50	51	58	0	50	58	0
26	Josh Teves (R)				X	100.00	46	30	95	88	49	50	25	48	48	45	50	55	50	54	60	0	50	58	0
27	Brogan Rafferty				X	100.00	45	31	95	83	57	51	25	47	48	45	50	55	50	54	60	0	50	58	0
28	Mitch Reinke (R)				X	100.00	45	30	95	85	51	50	25	45	47	45	50	55	50	51	58	0	47	57	0

	MOYENNE D'ÉQUIPE					100.00	56	33	90	84	60	62	46	51	51	48	55	61	53	55	61	0	49	63

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Garret Sparks (R)	100.00	77	33	75	76	76	76	79	77	76	65	57	57	60	0	40	72	0
2	Alex Lyon (R)	100.00	70	25	70	75	70	62	66	70	70	65	57	61	57	0	48	64	0
Rayé
1	Kasimir Kaskisuo (R)	100.00	58	37	71	77	56	76	70	59	58	65	63	53	67	0	47	61	0
2	Matiss Kivlenieks (R)	100.00	55	37	61	69	61	73	68	57	59	67	62	45	48	0	47	59	0
3	Jon Gillies (R)	100.00	60	25	87	83	52	60	60	60	60	65	55	53	49	0	50	57	0

	MOYENNE D'ÉQUIPE	100.00	64	31	73	76	63	69	69	65	65	65	59	54	56	0	46	63

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Trent Cull	67	62	68	80	69	72	79	CAN	45	3	625,000$

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	P/20	PSS	S1	S2	S3
1	Noah Gregor	Phantoms (PHI)	C	22	4	12	16	2	16	40	46	76	30	49	5.26%	5	443	20.16	1	7	8	9	60	1	17	0	0	51.21%	539	26	7	1	0.72	0	0	2	0
2	Melker Karlsson	Phantoms (PHI)	LW	22	4	10	14	4	12	34	28	56	22	29	7.14%	11	394	17.91	0	5	5	2	47	1	38	1	0	30.30%	33	14	6	0	0.71	0	0	0	2
3	David Kampf	Phantoms (PHI)	C	22	6	7	13	7	2	22	40	40	24	33	15.00%	6	335	15.26	2	2	4	3	40	0	1	1	0	57.66%	222	12	11	0	0.77	0	1	2	0
4	Drake Caggiula	Flyers	LW	18	3	10	13	2	8	36	33	35	13	24	8.57%	11	386	21.49	2	6	8	4	49	1	42	1	0	61.90%	21	14	9	0	0.67	0	1	0	3
5	Jani Hakanpaa	Phantoms (PHI)	D	22	3	9	12	1	48	56	37	23	23	12	13.04%	33	605	27.52	2	2	4	2	69	0	51	1	0	0.00%	0	9	23	1	0.40	0	1	0	1
6	Vinnie Hinostroza	Flyers	RW	20	8	4	12	3	0	35	42	77	21	43	10.39%	7	422	21.13	4	3	7	9	51	3	47	2	1	47.52%	101	27	11	0	0.57	0	2	1	2
7	Austin Wagner	Phantoms (PHI)	RW	22	4	7	11	5	2	43	33	54	16	38	7.41%	5	361	16.45	2	2	4	5	44	1	7	1	0	29.41%	17	22	6	0	0.61	0	1	1	0
8	Jordan Oesterle	Phantoms (PHI)	D	22	4	5	9	1	4	31	49	45	23	14	8.89%	42	624	28.39	4	2	6	6	69	1	69	0	1	0.00%	0	19	32	0	0.29	0	0	2	1
9	Marcus Sorensen	Phantoms (PHI)	LW	22	2	4	6	4	4	30	26	52	14	34	3.85%	7	323	14.71	0	0	0	0	9	2	32	1	0	53.85%	13	29	11	0	0.37	0	1	0	1
10	Joakim Nygard	Phantoms (PHI)	LW	18	1	3	4	1	6	13	16	25	16	20	4.00%	5	206	11.46	0	0	0	0	2	0	23	0	0	25.00%	8	11	1	0	0.39	0	0	0	2
11	Radim Simek	Phantoms (PHI)	D	21	1	3	4	3	8	29	42	24	6	8	4.17%	26	444	21.15	1	2	3	1	47	0	44	0	0	0.00%	0	9	19	0	0.18	0	0	0	0
12	Stefan Noesen	Phantoms (PHI)	RW	22	2	2	4	0	10	31	23	31	13	26	6.45%	6	275	12.54	0	0	0	1	10	0	0	2	0	60.00%	5	7	5	0	0.29	1	0	0	1
13	Lukas Radil	Phantoms (PHI)	C	18	2	1	3	3	0	3	8	15	5	15	13.33%	3	158	8.79	0	0	0	0	0	0	0	0	0	54.39%	57	4	2	0	0.38	0	1	0	0
14	Austin Czarnik	Phantoms (PHI)	C	22	1	1	2	-1	2	12	13	40	15	14	2.50%	3	247	11.26	0	0	0	0	0	0	0	1	0	43.97%	116	7	6	0	0.16	0	0	0	0
15	Derek Dorsett	Phantoms (PHI)	RW	18	1	1	2	3	4	33	17	28	10	15	3.57%	2	178	9.91	0	0	0	0	3	0	0	1	0	100.00%	1	10	4	0	0.22	1	0	1	0
16	Zach Aston-Reese	Flyers	C	4	0	2	2	-2	2	3	4	12	4	8	0.00%	1	87	21.80	0	1	1	0	12	1	9	0	0	46.85%	111	8	2	0	0.46	0	0	0	0
17	Alexander Yelesin	Phantoms (PHI)	D	22	1	1	2	6	26	18	22	10	6	5	10.00%	20	326	14.83	0	0	0	0	1	0	22	0	1	0.00%	0	4	14	0	0.12	0	0	0	1
18	Tim Heed	Phantoms (PHI)	D	22	0	2	2	5	4	4	24	19	5	7	0.00%	10	328	14.94	0	0	0	0	8	0	7	0	0	0.00%	0	3	3	0	0.12	0	0	0	0
19	Tobias Rieder	Flyers	RW	4	1	0	1	-2	0	7	5	6	5	8	16.67%	1	80	20.18	0	0	0	1	12	0	4	0	0	14.29%	7	6	1	0	0.25	0	0	0	1
20	Barclay Goodrow	Flyers	LW	4	0	1	1	-2	2	12	8	14	2	10	0.00%	5	88	22.09	0	0	0	0	12	0	10	0	0	42.31%	26	4	2	0	0.23	0	0	0	0
21	Joakim Ryan	Phantoms (PHI)	D	22	0	0	0	2	4	14	26	16	9	3	0.00%	25	446	20.29	0	0	0	2	44	0	42	0	0	0.00%	0	8	13	0	0.00	0	0	0	0
22	Nicholas Caamano	Phantoms (PHI)	RW	2	0	0	0	0	4	3	2	2	0	6	0.00%	1	35	17.83	0	0	0	1	2	0	0	0	0	50.00%	8	0	0	0	0.00	0	0	0	0
23	Dryden Hunt	Phantoms (PHI)	LW	4	0	0	0	0	0	1	0	3	1	3	0.00%	0	39	9.77	0	0	0	0	0	0	2	0	0	0.00%	0	0	0	0	0.00	0	0	0	0
Stats d'équipe Total ou en Moyenne				395	48	85	133	45	168	510	544	703	283	424	6.83%	235	6841	17.32	18	32	50	46	601	11	475	12	3	50.04%	1285	253	188	2	0.39	2	8	9	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	GA	SA	SAR	A	EG	ST	BG	S1
1	Garret Sparks	Phantoms (PHI)	15	8	3	2	0.914	1.95	861	28	326	144	1	0	15	4	1
2	Alex Lyon	Phantoms (PHI)	7	4	1	0	0.930	2.37	278	11	158	86	0	1	3	17	1
3	Alexandar Georgiev	Flyers	4	0	3	1	0.914	2.46	244	10	116	51	0	0	4	0	0
Stats d'équipe Total ou en Moyenne			26	12	7	3	0.918	2.12	1384	49	600	281	1	1	22	21	2

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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	Salaire Année 4	Link
Adam Johnson	Phantoms (PHI)	C	26	1994-01-01	Yes	174 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	0$	0$	No
Alex Lyon	Phantoms (PHI)	G	28	1992-01-01	Yes	201 Lbs	6 ft1	No	No	No	3	Pro & Farm	600,000$	0$	0$	No	600,000$	600,000$		Lien NHL
Alexander Yelesin	Phantoms (PHI)	D	24	1996-01-01 08:37:51	Yes	195 Lbs	6 ft0	No	No	No	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$
Alexandre Fortin	Phantoms (PHI)	LW	23	1997-01-01	Yes	184 Lbs	6 ft0	No	No	No	4	Pro & Farm	725,000$	0$	0$	No	725,000$	725,000$	725,000$
Anthony Greco	Phantoms (PHI)	RW	27	1993-01-01	Yes	176 Lbs	5 ft10	No	No	No	1	Pro & Farm	700,000$	0$	0$	No
Antti Suomela	Phantoms (PHI)	C	26	1994-01-01	Yes	180 Lbs	6 ft0	No	No	No	4	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	800,000$
Ashton Sautner	Phantoms (PHI)	D	26	1994-01-01	Yes	195 Lbs	6 ft1	No	No	No	3	Pro & Farm	500,000$	0$	0$	No	500,000$	500,000$		Lien / Lien NHL
Austin Czarnik	Phantoms (PHI)	C	28	1992-01-01	No	170 Lbs	5 ft9	No	No	No	4	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	800,000$	Lien NHL
Austin Poganski	Phantoms (PHI)	RW	24	1996-01-01 17:19:19	Yes	198 Lbs	6 ft1	No	No	No	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$
Austin Wagner	Phantoms (PHI)	RW	23	1997-01-01	Yes	185 Lbs	6 ft1	No	No	No	4	Pro & Farm	760,000$	0$	0$	No	760,000$	760,000$	760,000$
Brennan Menell	Phantoms (PHI)	D	23	1997-01-01 05:16:55	Yes	177 Lbs	5 ft11	No	No	No	3	Pro & Farm	500,000$	0$	0$	No	500,000$	500,000$
Brogan Rafferty	Phantoms (PHI)	D	25	1995-01-01	No	195 Lbs	6 ft0	No	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$		Lien
Christian Wolanin	Phantoms (PHI)	D	25	1995-01-01	Yes	185 Lbs	6 ft2	No	No	No	3	Pro & Farm	675,000$	0$	0$	No	675,000$	675,000$		Lien / Lien NHL
Danil Yurtaikin	Phantoms (PHI)	LW	23	1997-01-01 01:03:13	Yes	165 Lbs	5 ft11	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$
David Kampf	Phantoms (PHI)	C	25	1995-01-01	No	188 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,200,000$	0$	0$	No	1,200,000$	1,200,000$		Lien NHL
Dennis Gilbert	Phantoms (PHI)	D	24	1996-01-01	Yes	216 Lbs	6 ft2	No	No	No	1	Pro & Farm	650,000$	0$	0$	No				Lien
Derek Dorsett	Phantoms (PHI)	RW	34	1986-01-01	No	192 Lbs	6 ft0	No	No	No	1	Pro & Farm	725,000$	0$	0$	No				Lien NHL
Dryden Hunt	Phantoms (PHI)	LW	25	1995-01-01	Yes	191 Lbs	6 ft0	No	No	No	2	Pro & Farm	725,000$	0$	0$	No	725,000$			Lien NHL
Dylan Gambrell	Phantoms (PHI)	RW	24	1996-01-01	Yes	195 Lbs	6 ft0	No	No	No	3	Pro & Farm	600,000$	0$	0$	No	600,000$	600,000$		Lien NHL
Eric Robinson	Phantoms (PHI)	RW	25	1995-01-01	Yes	200 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	0$	0$	No				Lien NHL
Garret Sparks	Phantoms (PHI)	G	27	1993-01-01	Yes	201 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,300,000$	0$	0$	No	1,300,000$
Gustav Lindstrom	Phantoms (PHI)	D	22	1998-01-01 05:17:57	Yes	190 Lbs	6 ft2	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$
Henrik Haapala	Phantoms (PHI)	LW	26	1994-01-01	Yes	165 Lbs	5 ft9	No	No	No	2	Pro & Farm	600,000$	0$	0$	No	600,000$			Lien NHL
Jacob Middleton	Phantoms (PHI)	D	24	1996-01-01	Yes	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	550,000$	0$	0$	No				Lien
Jani Hakanpaa	Phantoms (PHI)	D	28	1992-01-01 17:23:50	Yes	218 Lbs	6 ft5	No	No	No	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$
Joakim Nygard	Phantoms (PHI)	LW	27	1993-01-01 01:03:58	Yes	179 Lbs	6 ft0	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$
Joakim Ryan	Phantoms (PHI)	D	27	1993-01-01	No	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$			Lien / Lien NHL
Joel L'Esperance	Phantoms (PHI)	RW	25	1995-01-01	Yes	210 Lbs	6 ft2	No	No	No	3	Pro & Farm	550,000$	0$	0$	No	550,000$	550,000$
Jon Gillies	Phantoms (PHI)	G	26	1994-01-01	Yes	223 Lbs	6 ft6	No	No	No	1	Pro & Farm	750,000$	0$	0$	No				Lien NHL
Jordan Oesterle	Phantoms (PHI)	D	28	1992-01-01	No	182 Lbs	6 ft0	No	No	No	4	Pro & Farm	1,400,000$	0$	0$	No	1,400,000$	1,400,000$	1,400,000$	Lien / Lien NHL
Josh Teves	Phantoms (PHI)	D	25	1995-01-01	Yes	170 Lbs	6 ft0	No	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$		Lien
Justin Bailey	Phantoms (PHI)	RW	25	1995-01-01	No	214 Lbs	6 ft4	No	No	No	1	Pro & Farm	725,000$	0$	0$	No				Lien NHL
Kasimir Kaskisuo	Phantoms (PHI)	G	27	1993-01-01 02:04:25	Yes	203 Lbs	6 ft3	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$
Kole Sherwood	Phantoms (PHI)	RW	23	1997-01-01	Yes	202 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,000$	0$	0$	No
Kurtis MacDermid	Phantoms (PHI)	D	26	1994-01-01	No	233 Lbs	6 ft5	No	No	No	2	Pro & Farm	725,000$	0$	0$	No	725,000$			Lien / Lien NHL
Lukas Radil	Phantoms (PHI)	C	30	1990-01-01	No	200 Lbs	6 ft4	No	No	No	3	Pro & Farm	1,100,000$	0$	0$	No	1,100,000$	1,100,000$
Marcus Sorensen	Phantoms (PHI)	LW	28	1992-01-01	No	175 Lbs	5 ft11	No	No	No	4	Pro & Farm	1,300,000$	0$	0$	No	1,300,000$	1,300,000$	1,300,000$	Lien NHL
Matiss Kivlenieks	Phantoms (PHI)	G	24	1996-01-01 05:18:57	Yes	178 Lbs	6 ft2	No	No	No	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$
Matthew Highmore	Phantoms (PHI)	LW	24	1996-01-01	Yes	181 Lbs	5 ft11	No	No	No	3	Pro & Farm	600,000$	0$	0$	No	600,000$	600,000$		Lien NHL
Melker Karlsson	Phantoms (PHI)	LW	30	1990-01-01	No	180 Lbs	6 ft0	No	No	No	4	Pro & Farm	1,300,000$	0$	0$	No	1,300,000$	1,300,000$	1,300,000$	Lien NHL
Mitch Reinke	Phantoms (PHI)	D	24	1996-01-01	Yes	181 Lbs	5 ft11	No	No	No	1	Pro & Farm	800,000$	0$	0$	No				Lien / Lien NHL
Nicholas Caamano	Phantoms (PHI)	RW	22	1998-01-01 15:47:37	Yes	200 Lbs	6 ft3	No	No	No	2	Pro & Farm	550,000$	0$	0$	No	550,000$
Nick Paul	Phantoms (PHI)	C	25	1995-01-01	No	230 Lbs	6 ft4	No	No	No	3	Pro & Farm	675,000$	0$	0$	No	675,000$	675,000$		Lien NHL
Nikolay Goldobin	Phantoms (PHI)	RW	25	1995-01-01	No	196 Lbs	5 ft11	No	No	No	2	Pro & Farm	1,300,000$	0$	0$	No	1,300,000$			Lien NHL
Noah Gregor	Phantoms (PHI)	C	22	1998-01-01 01:43:06	Yes	185 Lbs	6 ft0	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Patrick Russell	Phantoms (PHI)	RW	27	1993-01-01	Yes	203 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,000$	0$	0$	No
Radim Simek	Phantoms (PHI)	D	28	1992-01-01	Yes	200 Lbs	5 ft11	No	No	No	1	Pro & Farm	700,000$	0$	0$	No				Lien
Sonny Milano	Phantoms (PHI)	LW	24	1996-01-01	No	195 Lbs	6 ft0	No	No	No	4	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	1,000,000$	Lien NHL
Stefan Noesen	Phantoms (PHI)	RW	27	1993-01-01	No	205 Lbs	6 ft1	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$		Lien NHL
Tim Heed	Phantoms (PHI)	D	29	1991-01-01	No	180 Lbs	5 ft11	No	No	No	1	Pro & Farm	725,000$	0$	0$	No				Lien / Lien NHL
Zack MacEwen	Phantoms (PHI)	RW	24	1996-01-01	Yes	205 Lbs	6 ft3	No	No	No	1	Pro & Farm	700,000$	0$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
51	25.63	193 Lbs	6 ft1	2.39	779,118$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Melker Karlsson	Noah Gregor	Austin Wagner	40	1	2	2
2	Marcus Sorensen	David Kampf	Stefan Noesen	30	1	2	2
3	Joakim Nygard	Austin Czarnik	Nicholas Caamano	20	1	2	2
4	Sonny Milano	Nick Paul	Derek Dorsett	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jordan Oesterle	Jani Hakanpaa	40	1	2	2
2	Radim Simek	Joakim Ryan	30	1	2	2
3	Tim Heed	Alexander Yelesin	20	1	2	2
4	Jordan Oesterle	Jani Hakanpaa	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Melker Karlsson	Noah Gregor	Austin Wagner	60	1	2	2
2	Marcus Sorensen	David Kampf	Stefan Noesen	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jordan Oesterle	Jani Hakanpaa	60	1	2	2
2	Radim Simek	Joakim Ryan	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Melker Karlsson	Marcus Sorensen	60	1	2	2
2	Austin Wagner	Noah Gregor	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jordan Oesterle	Jani Hakanpaa	60	1	2	2
2	Radim Simek	Joakim Ryan	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Melker Karlsson	60	1	2	2	Jordan Oesterle	Jani Hakanpaa	60	1	2	2
2	Marcus Sorensen	40	1	2	2	Radim Simek	Joakim Ryan	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Melker Karlsson	Marcus Sorensen	60	1	2	2
2	Austin Wagner	Noah Gregor	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jordan Oesterle	Jani Hakanpaa	60	1	2	2
2	Radim Simek	Joakim Ryan	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Melker Karlsson	Noah Gregor	Austin Wagner	Jordan Oesterle	Jani Hakanpaa

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Melker Karlsson	Noah Gregor	Austin Wagner	Jordan Oesterle	Jani Hakanpaa

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Nicholas Caamano, Derek Dorsett, Joakim Nygard	Nicholas Caamano, Derek Dorsett	Joakim Nygard

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Tim Heed, Alexander Yelesin, Radim Simek	Tim Heed	Alexander Yelesin, Radim Simek

Tirs de Pénalité
Melker Karlsson, Marcus Sorensen, Austin Wagner, Noah Gregor, David Kampf

Gardien
#1 : Garret Sparks, #2 : Alex Lyon

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	Monarchs	7	4	3	0	0	0	0	0	14	13	1	4	4	0	0	0	0	0	0	10	5	5	3	0	3	0	0	0	0	0	4	8	-4	8	0.571	14	24	38	0	1	8	22	13	5	219	206	230	211	56	153	74	44	172	22	6	27.27%	22	8	63.64%	0	258	504	51.19%	238	497	47.89%	147	284	51.76%	518	290	441	219	433	218
2	Pantheres	4	0	4	0	0	0	0	0	3	10	-7	2	0	2	0	0	0	0	0	2	4	-2	2	0	2	0	0	0	0	0	1	6	-5	0	0.000	3	4	7	0	0	8	22	13	5	122	206	230	211	56	116	52	26	87	13	1	7.69%	13	4	69.23%	0	258	504	51.19%	238	497	47.89%	147	284	51.76%	518	290	441	219	433	218
3	Rambo	6	4	2	0	0	0	0	0	15	15	0	3	1	2	0	0	0	0	0	5	8	-3	3	3	0	0	0	0	0	0	10	7	3	8	0.667	15	27	42	0	0	8	22	13	5	191	206	230	211	56	166	58	58	136	20	7	35.00%	29	10	65.52%	0	258	504	51.19%	238	497	47.89%	147	284	51.76%	518	290	441	219	433	218
	Total	22	12	10	0	0	0	0	0	48	50	-2	12	7	5	0	0	0	0	0	25	24	1	10	5	5	0	0	0	0	0	23	26	-3	24	0.545	48	85	133	1	1	8	22	13	5	703	206	230	211	56	605	235	168	510	72	18	25.00%	86	29	66.28%	0	258	504	51.19%	238	497	47.89%	147	284	51.76%	518	290	441	219	433	218
5	Wolf Pack	5	4	1	0	0	0	0	0	16	12	4	3	2	1	0	0	0	0	0	8	7	1	2	2	0	0	0	0	0	0	8	5	3	8	0.800	16	30	46	1	0	8	22	13	5	171	206	230	211	56	170	51	40	115	17	4	23.53%	22	7	68.18%	0	258	504	51.19%	238	497	47.89%	147	284	51.76%	518	290	441	219	433	218
	_Since Last GM Reset	22	12	10	0	0	0	0	0	48	50	-2	12	7	5	0	0	0	0	0	25	24	1	10	5	5	0	0	0	0	0	23	26	-3	24	0.545	48	85	133	1	1	8	22	13	5	703	206	230	211	56	605	235	168	510	72	18	25.00%	86	29	66.28%	0	258	504	51.19%	238	497	47.89%	147	284	51.76%	518	290	441	219	433	218
	_Vs Conference	18	12	6	0	0	0	0	0	45	40	5	10	7	3	0	0	0	0	0	23	20	3	8	5	3	0	0	0	0	0	22	20	2	24	0.667	45	81	126	1	1	8	22	13	5	581	206	230	211	56	489	183	142	423	59	17	28.81%	73	25	65.75%	0	258	504	51.19%	238	497	47.89%	147	284	51.76%	518	290	441	219	433	218
	_Vs Division	9	8	4	0	0	0	0	0	19	22	-3	5	6	1	0	0	0	0	0	10	11	-1	4	2	3	0	0	0	0	0	9	11	-2	16	0.889	19	34	53	1	0	8	22	13	5	293	206	230	211	56	286	103	66	202	30	5	16.67%	35	11	68.57%	0	258	504	51.19%	238	497	47.89%	147	284	51.76%	518	290	441	219	433	218

			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
22	24	L1	48	85	133	703	605	235	168	510	1	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	12	10	0	0	0	0	48	50

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	7	5	0	0	0	0	25	24

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	5	5	0	0	0	0	23	26

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	4	0	1	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
72	18	25.00%	86	29	66.28%	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
206	230	211	56	8	22	13	5

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
258	504	51.19%	238	497	47.89%	147	284	51.76%

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
518	290	441	219	433	218

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 - 2020-07-20	4	Phantoms	5	Rambo	4	W	X	Sommaire du Match
2 - 2020-07-21	12	Phantoms	2	Rambo	1	W	X	Sommaire du Match
3 - 2020-07-22	20	Rambo	2	Phantoms	1	L		Sommaire du Match
4 - 2020-07-23	28	Rambo	5	Phantoms	1	L		Sommaire du Match
5 - 2020-07-24	36	Phantoms	3	Rambo	2	W		Sommaire du Match
6 - 2020-07-25	44	Rambo	1	Phantoms	3	W		Sommaire du Match
8 - 2020-07-27	58	Monarchs	2	Phantoms	3	W	X	Sommaire du Match
9 - 2020-07-28	62	Monarchs	0	Phantoms	1	W		Sommaire du Match
10 - 2020-07-29	66	Phantoms	0	Monarchs	2	L		Sommaire du Match
11 - 2020-07-30	70	Phantoms	1	Monarchs	2	L	X	Sommaire du Match
12 - 2020-07-31	74	Monarchs	2	Phantoms	3	W	X	Sommaire du Match
13 - 2020-08-01	78	Phantoms	3	Monarchs	4	L	X	Sommaire du Match
14 - 2020-08-02	82	Monarchs	1	Phantoms	3	W		Sommaire du Match
15 - 2020-08-03	85	Wolf Pack	4	Phantoms	2	L		Sommaire du Match
16 - 2020-08-04	87	Wolf Pack	1	Phantoms	3	W		Sommaire du Match
17 - 2020-08-05	89	Phantoms	4	Wolf Pack	2	W		Sommaire du Match
18 - 2020-08-06	91	Phantoms	4	Wolf Pack	3	W		Sommaire du Match
19 - 2020-08-07	93	Wolf Pack	2	Phantoms	3	W	X	Sommaire du Match
22 - 2020-08-10	99	Phantoms	1	Pantheres	3	L		Sommaire du Match
23 - 2020-08-11	100	Phantoms	0	Pantheres	3	L		Sommaire du Match
24 - 2020-08-12	101	Pantheres	2	Phantoms	1	L	X	Sommaire du Match
25 - 2020-08-13	102	Pantheres	2	Phantoms	1	L		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	20
Assistance	22,467	11,236
Assistance PCT	93.61%	93.63%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
27	2809 - 93.62%	107,659$	1,291,910$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	3,973,500$	3,953,500$	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
11	78	40	20	0	3	3	7	5	235	176	59	39	26	8	0	1	2	1	1	121	75	46	39	14	12	0	2	1	6	4	114	101	13	80	235	365	600	1	6	34	91	100	19	2566	710	914	911	76	2427	781	661	1766	312	120	38.46%	284	99	65.14%	3	1049	1761	59.57%	1066	1820	58.57%	639	1111	57.52%	1734	963	1596	693	1422	750
12	82	42	22	0	6	3	3	6	248	186	62	41	25	8	0	3	2	2	1	143	80	63	41	17	14	0	3	1	1	5	105	106	-1	84	248	374	622	1	4	36	103	100	13	2670	754	962	915	68	2389	795	677	1868	319	119	37.30%	298	86	71.14%	5	952	1715	55.51%	1063	1844	57.65%	680	1160	58.62%	1842	1023	1632	737	1509	792
13	82	35	27	0	2	5	9	4	242	177	65	41	22	11	0	0	2	3	3	129	81	48	41	13	16	0	2	3	6	1	113	96	17	70	242	369	611	2	5	34	79	118	20	2643	763	929	911	81	2562	865	685	1822	302	111	36.75%	306	93	69.61%	4	968	1747	55.41%	965	1813	53.23%	625	1126	55.51%	1796	981	1691	741	1511	794
14	82	33	26	0	2	3	11	7	225	198	27	41	15	14	0	0	2	7	3	108	101	7	41	18	12	0	2	1	4	4	117	97	20	66	225	336	561	2	3	29	83	100	21	2632	727	975	897	94	2557	952	647	1833	287	118	41.11%	296	105	64.53%	1	1006	1825	55.12%	998	1895	52.66%	597	1146	52.09%	1837	1021	1709	721	1475	784
15	82	40	22	0	5	2	6	7	244	196	48	41	20	12	0	1	2	3	3	109	98	11	41	20	10	0	4	0	3	4	135	98	37	80	244	393	637	1	3	40	89	104	19	2619	703	947	931	86	2496	830	560	1783	298	126	42.28%	277	103	62.82%	4	905	1680	53.87%	978	1807	54.12%	631	1165	54.16%	1813	1008	1711	717	1479	784
16	82	43	22	0	3	3	8	3	246	180	66	41	24	9	0	1	0	5	2	132	90	42	41	19	13	0	2	3	3	1	114	90	24	86	246	387	633	0	4	47	88	100	20	2498	703	885	884	64	2498	806	629	1843	335	121	36.12%	279	89	68.10%	3	1013	1670	60.66%	963	1755	54.87%	728	1181	61.64%	1820	1009	1706	702	1456	791
17	82	36	27	0	2	3	7	7	244	196	48	41	21	9	0	0	2	4	5	135	90	45	41	15	18	0	2	1	3	2	109	106	3	72	244	376	620	2	8	34	93	108	18	2595	669	936	946	97	2394	765	561	1907	341	116	34.02%	277	107	61.37%	5	965	1699	56.80%	999	1749	57.12%	668	1179	56.66%	1853	1035	1652	727	1498	793
18	82	45	20	0	4	4	4	5	261	192	69	41	28	8	0	1	1	0	3	142	91	51	41	17	12	0	3	3	4	2	119	101	18	90	261	433	694	1	6	35	95	123	16	2592	734	881	951	59	2448	823	690	1777	328	134	40.85%	325	116	64.31%	4	973	1688	57.64%	981	1828	53.67%	682	1206	56.55%	1864	1059	1648	710	1464	774
19	82	39	26	0	2	1	5	9	242	202	40	41	22	12	0	1	0	4	2	131	98	33	41	17	14	0	1	1	1	7	111	104	7	78	242	387	629	1	2	42	97	96	19	2561	685	981	869	86	2502	852	621	1823	318	121	38.05%	301	103	65.78%	3	965	1710	56.43%	1018	1856	54.85%	660	1175	56.17%	1809	1005	1698	736	1493	775
20	78	35	26	0	6	1	6	4	260	208	52	39	21	10	0	2	0	2	4	138	99	39	39	14	16	0	4	1	4	0	122	109	13	70	260	412	672	0	0	48	113	87	19	2511	728	868	892	62	2433	819	567	1691	329	147	44.68%	280	112	60.00%	2	913	1654	55.20%	925	1692	54.67%	615	1172	52.47%	1709	948	1634	696	1406	738
Total Saison Régulière	812	388	238	0	35	28	66	57	2447	1911	536	406	224	101	0	10	13	31	27	1288	903	385	406	164	137	0	25	15	35	30	1159	1008	151	776	2447	3832	6279	11	41	379	931	1036	184	25887	7176	9278	9107	773	24706	8288	6298	18113	3169	1233	38.91%	2923	1013	65.34%	34	9709	17149	56.62%	9956	18059	55.13%	6525	11621	56.15%	18082	10057	16681	7185	14717	7778
Séries
11	11	5	6	0	0	0	0	0	26	27	-1	6	2	4	0	0	0	0	0	13	16	-3	5	3	2	0	0	0	0	0	13	11	2	10	26	41	67	1	1	5	13	7	1	339	109	125	94	11	295	98	116	280	31	11	35.48%	40	16	60.00%	0	133	249	53.41%	119	244	48.77%	79	144	54.86%	245	136	210	105	214	105
12	25	15	10	0	0	0	0	0	70	55	15	13	7	6	0	0	0	0	0	36	30	6	12	8	4	0	0	0	0	0	34	25	9	30	70	118	188	0	1	4	30	35	1	811	237	273	285	16	784	260	170	561	85	33	38.82%	87	22	74.71%	3	300	509	58.94%	336	563	59.68%	197	350	56.29%	563	315	514	216	450	243
13	5	1	4	0	0	0	0	0	9	12	-3	3	1	2	0	0	0	0	0	5	6	-1	2	0	2	0	0	0	0	0	4	6	-2	2	9	14	23	0	0	2	5	2	0	166	42	64	60	0	142	42	32	115	13	2	15.38%	16	7	56.25%	0	63	121	52.07%	55	108	50.93%	32	56	57.14%	109	59	97	47	94	46
14	6	2	4	0	0	0	0	0	12	13	-1	3	2	1	0	0	0	0	0	7	4	3	3	0	3	0	0	0	0	0	5	9	-4	4	12	19	31	1	0	1	7	4	0	215	59	87	65	4	132	48	34	156	15	4	26.67%	18	6	66.67%	0	63	119	52.94%	60	107	56.07%	42	72	58.33%	147	85	108	57	122	60
15	10	6	4	0	0	0	0	0	23	22	1	5	4	1	0	0	0	0	0	15	10	5	5	2	3	0	0	0	0	0	8	12	-4	12	23	38	61	0	1	1	10	10	2	346	69	139	127	11	351	119	62	222	23	7	30.43%	31	11	64.52%	1	105	204	51.47%	127	233	54.51%	59	128	46.09%	210	115	226	86	178	95
16	10	6	4	0	0	0	0	0	23	22	1	5	4	1	0	0	0	0	0	15	10	5	5	2	3	0	0	0	0	0	8	12	-4	12	23	38	61	0	1	1	10	10	2	346	69	139	127	11	351	119	62	222	23	7	30.43%	31	11	64.52%	1	105	204	51.47%	127	233	54.51%	59	128	46.09%	210	115	226	86	178	95
17	5	1	4	0	0	0	0	0	6	11	-5	2	0	2	0	0	0	0	0	3	5	-2	3	1	2	0	0	0	0	0	3	6	-3	2	6	9	15	0	1	1	1	4	0	147	46	49	42	10	160	51	38	109	15	3	20.00%	20	4	80.00%	0	69	116	59.48%	71	115	61.74%	32	62	51.61%	114	63	108	48	97	50
18	12	7	5	0	0	0	0	0	33	30	3	6	5	1	0	0	0	0	0	18	13	5	6	2	4	0	0	0	0	0	15	17	-2	14	33	53	86	0	1	7	13	11	2	372	77	154	122	19	376	119	108	286	37	12	32.43%	54	17	68.52%	2	110	223	49.33%	136	290	46.90%	69	152	45.39%	261	141	260	118	229	110
19	23	14	9	0	0	0	0	0	51	44	7	11	7	4	0	0	0	0	0	24	21	3	12	7	5	0	0	0	0	0	27	23	4	28	51	87	138	0	0	5	18	22	6	739	183	248	265	43	668	241	174	605	75	27	36.00%	79	28	64.56%	0	280	545	51.38%	254	504	50.40%	150	282	53.19%	551	313	451	216	447	230
20	22	12	10	0	0	0	0	0	48	50	-2	12	7	5	0	0	0	0	0	25	24	1	10	5	5	0	0	0	0	0	23	26	-3	24	48	85	133	1	1	8	22	13	5	703	206	230	211	56	605	235	168	510	72	18	25.00%	86	29	66.28%	0	258	504	51.19%	238	497	47.89%	147	284	51.76%	518	290	441	219	433	218
Total Séries	129	69	60	0	0	0	0	0	301	286	15	66	39	27	0	0	0	0	0	161	139	22	63	30	33	0	0	0	0	0	140	147	-7	138	301	502	803	3	7	35	129	118	19	4184	1097	1508	1398	181	3864	1332	964	3066	389	124	31.88%	462	151	67.32%	7	1486	2794	53.19%	1523	2894	52.63%	866	1658	52.23%	2931	1637	2646	1202	2447	1256