Ligue de hockey Simulée Ste-Flanelle

Toronto
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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	TA	SP	Âge	Contrat	Salaire Moyen
1	Austin Czarnik	X	X	X		100.00	64	56	85	80	58	63	64	68	67	64	66	66	67	62	63	0	50	63		0	26	1	1,500,000$
2	Pontus Aberg		X	X		100.00	72	61	84	76	70	72	78	63	43	62	65	62	62	54	55	0	50	62		0	26	2	1,250,000$
3	Matt Read		X	X		100.00	73	59	88	64	66	70	78	62	45	52	60	71	59	69	70	0	50	61		0	33	1	3,125,000$
4	Victor Rask	X	X	X		100.00	68	43	95	72	75	59	64	63	67	63	60	57	36	67	67	0	50	61		0	26	1	2,183,546$
5	Nicholas Merkley (R)	X		X		100.00	73	68	85	79	68	67	69	62	78	62	58	63	55	44	44	0	50	61		0	22	1	895,000$
6	Timothy Gettinger		X			100.00	87	85	91	64	85	74	78	58	50	50	61	69	58	44	44	0	50	60		0	21	3	770,000$
7	Valentin Zykov		X	X		100.00	75	47	90	71	80	61	59	63	25	63	57	61	25	48	48	0	50	59		0	24	2	1,225,000$
8	Brian Gibbons	X	X			100.00	66	41	91	70	61	57	70	56	27	53	56	68	53	64	65	0	50	58		0	31	3	2,200,000$
9	Shane Bowers (R)	X				100.00	76	70	90	66	70	62	63	60	75	58	58	64	55	44	44	0	50	58		0	20	4	925,002$
10	David Gustafsson (R)	X				100.00	59	41	99	80	71	45	57	51	64	50	57	69	25	46	46	0	50	57		0	19	3	817,500$
11	Marian Gaborik		X	X		100.00	45	35	81	67	69	59	58	56	40	51	60	61	49	83	74	0	50	57		0	37	1	3,166,667$
12	Sven Andrighetto		X	X		100.00	47	35	88	69	58	58	69	55	35	52	58	66	44	46	39	0	50	55		0	26	1	825,000$
13	Nicolas Hague (R)				X	100.00	83	46	76	78	82	69	84	66	25	60	48	56	25	47	47	0	50	63		0	20	4	791,668$
14	Chad Ruhwedel				X	100.00	84	47	90	72	69	66	54	61	30	48	47	73	25	59	60	0	50	63		0	29	1	1,425,000$
15	Kevin Connauton				X	100.00	78	66	78	80	76	66	64	60	25	54	46	65	44	64	65	0	50	63	X	0	29	3	1,500,000$
16	Scott Harrington				X	100.00	77	43	88	70	76	63	73	58	25	52	47	67	25	60	61	0	50	62		0	26	2	2,300,000$
17	Alex Petrovic (R)				X	100.00	83	81	86	62	81	60	63	51	25	47	40	65	38	44	44	0	50	58		0	27	2	1,600,000$
18	Alexey Marchenko				X	100.00	48	43	85	58	69	58	52	43	35	46	39	82	45	44	39	0	50	56		0	27	3	700,000$
Rayé
1	Adam Cracknell	X	X	X		100.00	49	35	94	66	73	52	33	33	58	33	33	63	47	54	49	0	50	47		0	34	1	750,000$
2	Spencer Foo			X		100.00	45	35	93	66	62	50	31	36	49	32	40	61	46	35	32	0	50	45		0	25	2	925,000$
3	Jason Garrison				X	100.00	56	35	82	59	72	55	35	40	35	34	45	71	47	65	57	0	50	54		0	34	1	3,625,001$
4	Lucas Johansen				X	100.00	77	69	90	60	67	57	51	48	25	40	39	61	37	44	44	0	50	54		0	21	2	925,000$

	MOYENNE D'ÉQUIPE					100.00	68	52	88	70	71	61	61	55	43	51	52	66	44	54	53	0	50	58

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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	Alexandar Georgiev	100.00	67	72	69	66	75	71	69	67	81	67	68	55	55	0	50	67	0
2	Max Lagace	100.00	63	63	79	75	64	70	61	68	69	67	30	44	44	0	50	64	0
Rayé
1	Anthony Stolarz	100.00	63	61	76	88	66	65	55	65	62	61	30	45	45	0	50	62	0
2	Daniil Tarasov G (R)	100.00	51	81	73	72	40	50	53	53	45	48	49	54	54	0	50	54	0

	MOYENNE D'ÉQUIPE	100.00	61	69	74	75	61	64	60	63	64	61	44	50	50	0	50	62

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

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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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Pontus Aberg	Marlies (Tor)	LW/RW	82	40	49	89	25	32	0	157	156	368	99	265	10.87%	22	1936	23.62	9	10	19	55	226	2	1	3	8	218	7	1	42.95%	156	0	1	0.92	3	9	0	0	0	11	3	3
2	Victor Rask	Marlies (Tor)	C/LW/RW	82	26	52	78	23	16	0	76	204	238	59	163	10.92%	12	1617	19.73	6	13	19	44	208	0	3	3	3	164	5	2	56.09%	2184	0	0	0.96	3	5	0	0	0	3	2	6
3	Matt Read	Marlies (Tor)	LW/RW	82	32	43	75	22	62	20	118	113	355	98	211	9.01%	24	1594	19.44	5	11	16	71	209	1	0	1	7	106	3	0	41.41%	128	0	0	0.94	2	6	1	2	1	3	6	4
4	Valentin Zykov	Marlies (Tor)	LW/RW	82	33	35	68	21	28	0	128	103	296	68	186	11.15%	12	1458	17.79	6	8	14	49	210	0	0	0	0	0	8	3	28.30%	106	0	0	0.93	0	0	0	0	0	7	3	3
5	Kevin Connauton	Marlies (Tor)	D	82	18	49	67	19	62	0	153	106	143	44	97	12.59%	146	1958	23.88	7	21	28	61	225	1	0	1	1	179	3	2	0.00%	0	1	0	0.68	0	0	0	0	0	5	1	5
6	Nicholas Merkley	Marlies (Tor)	C/RW	82	26	38	64	20	44	0	123	164	273	85	193	9.52%	26	1591	19.40	2	13	15	55	228	0	1	1	5	104	2	3	57.66%	274	0	0	0.80	2	7	0	0	0	1	3	8
7	Timothy Gettinger	Marlies (Tor)	LW	82	28	33	61	31	55	5	257	88	272	73	202	10.29%	11	1295	15.79	5	8	13	44	144	0	0	0	0	0	4	1	51.41%	319	0	1	0.94	0	1	0	0	1	6	7	1
8	Chad Ruhwedel	Marlies (Tor)	D	82	14	38	52	30	56	0	198	112	172	56	94	8.14%	102	1785	21.77	8	3	11	77	204	0	1	1	3	151	5	1	0.00%	0	0	0	0.58	0	0	0	0	0	4	3	1
9	David Gustafsson	Marlies (Tor)	C	82	19	32	51	34	4	0	14	183	227	55	155	8.37%	14	1204	14.69	1	0	1	3	24	0	0	0	0	19	3	2	53.89%	1310	0	0	0.85	2	6	0	0	0	2	3	4
10	Scott Harrington	Marlies (Tor)	D	82	8	38	46	29	28	0	84	69	112	40	88	7.14%	90	1516	18.49	1	5	6	32	174	0	0	0	1	145	3	1	0.00%	0	0	0	0.61	0	0	0	0	0	1	3	3
11	Shane Bowers	Marlies (Tor)	C	82	15	27	42	24	35	15	122	189	192	43	138	7.81%	14	1292	15.76	0	0	0	0	0	0	0	0	0	0	0	0	58.51%	1651	0	0	0.65	0	0	0	1	2	2	4	4
12	Marian Gaborik	Marlies (Tor)	LW/RW	82	19	22	41	31	0	0	4	55	169	39	93	11.24%	3	1155	14.09	0	0	0	0	2	0	0	0	0	11	5	0	51.65%	91	0	0	0.71	0	0	0	0	0	1	2	2
13	Nicolas Hague	Marlies (Tor)	D	76	4	32	36	11	62	0	184	57	66	24	39	6.06%	75	1512	19.90	3	6	9	19	96	0	0	0	1	65	1	0	0.00%	0	0	0	0.48	0	0	0	0	0	0	4	0
14	Alex Petrovic	Marlies (Tor)	D	82	6	18	24	31	36	10	169	39	58	22	53	10.34%	93	1530	18.66	3	2	5	19	141	0	0	0	1	177	1	0	0.00%	0	0	0	0.31	0	0	0	2	0	0	2	0
15	Alexey Marchenko	Marlies (Tor)	D	70	4	19	23	15	0	0	9	42	43	13	46	9.30%	78	1054	15.06	0	0	0	1	29	0	1	1	0	73	1	1	0.00%	0	0	0	0.44	0	0	0	0	0	0	2	0
16	Austin Czarnik	Marlies (Tor)	C/LW/RW	55	7	15	22	-6	2	0	26	67	101	31	88	6.93%	7	519	9.45	3	7	10	28	94	0	0	0	3	71	2	0	55.38%	744	0	0	0.85	1	3	0	0	0	2	1	1
17	Brian Gibbons	Marlies (Tor)	C/LW	82	8	7	15	2	0	0	22	47	87	19	63	9.20%	9	592	7.23	0	0	0	0	5	0	0	0	0	105	1	1	37.02%	181	0	0	0.51	0	0	0	0	0	0	0	0
18	Trevor Daley	Toronto	D	15	2	11	13	10	12	0	19	23	44	14	30	4.55%	23	357	23.81	0	1	1	22	36	0	0	0	0	37	0	0	0.00%	0	1	0	0.73	1	1	0	0	0	0	0	0
19	Matt Irwin	Toronto	D	12	0	4	4	10	12	0	29	17	15	4	14	0.00%	11	210	17.55	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.38	0	0	0	0	0	0	0	0
20	Adam Cracknell	Marlies (Tor)	C/LW/RW	21	0	1	1	-3	0	0	0	4	4	1	7	0.00%	3	180	8.59	0	0	0	1	4	0	0	0	0	17	0	0	53.85%	13	0	0	0.11	0	0	0	0	0	0	0	0
21	Lucas Johansen	Marlies (Tor)	D	28	0	1	1	4	4	0	5	1	3	0	1	0.00%	7	92	3.32	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0	0.22	0	0	0	0	0	0	0	0
22	Jason Garrison	Marlies (Tor)	D	5	0	0	0	0	0	0	0	1	0	0	0	0.00%	0	1	0.39	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
23	Sven Andrighetto	Marlies (Tor)	LW/RW	47	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	4	0.10	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1477	309	564	873	383	550	50	1897	1840	3238	887	2226	9.54%	782	24463	16.56	59	108	167	581	2268	4	7	11	33	1650	54	18	54.52%	7157	2	2	0.71	14	38	1	5	4	48	49	45

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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	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Alexandar Georgiev	Marlies (Tor)	76	55	16	4	0.924	2.50	4425	6	4	184	2420	1	2	0.833	30	76	6	8	4	6
2	Max Lagace	Marlies (Tor)	12	6	0	1	0.925	2.50	552	0	0	23	306	0	0	0.750	8	6	76	0	0	0
Stats d'équipe Total ou en Moyenne			88	61	16	5	0.924	2.50	4978	6	4	207	2726	1	2	0.816	38	82	82	8	4	6

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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 Cracknell	Marlies (Tor)	C/LW/RW	34	1985-07-15	No	209 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	75,000$	0$	No				Lien
Alex Petrovic	Marlies (Tor)	D	27	1992-03-03	Yes	216 Lbs	6 ft4	No	No	No	2	Pro & Farm	1,600,000$	160,000$	0$	No	1,600,000$			Lien
Alexandar Georgiev	Marlies (Tor)	G	23	1996-02-10	No	176 Lbs	6 ft1	No	No	No	1	Pro & Farm	792,500$	79,250$	0$	No				Lien
Alexey Marchenko	Marlies (Tor)	D	27	1992-01-02	No	210 Lbs	6 ft3	No	No	No	3	Pro & Farm	700,000$	70,000$	0$	No	700,000$	700,000$		Lien
Anthony Stolarz	Marlies (Tor)	G	25	1994-01-20	No	210 Lbs	6 ft6	No	No	No	3	Pro & Farm	900,000$	90,000$	0$	No	900,000$	900,000$		Lien
Austin Czarnik	Marlies (Tor)	C/LW/RW	26	1992-12-12	No	160 Lbs	5 ft9	No	No	No	1	Pro & Farm	1,500,000$	150,000$	0$	No				Lien
Brian Gibbons	Marlies (Tor)	C/LW	31	1988-02-05	No	175 Lbs	5 ft8	No	No	No	3	Pro & Farm	2,000,000$	220,000$	0$	No	2,000,000$	2,000,000$		Lien
Chad Ruhwedel	Marlies (Tor)	D	29	1990-05-07	No	191 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,425,000$	142,500$	0$	No				Lien
Daniil Tarasov G	Marlies (Tor)	G	20	1999-03-27	Yes	185 Lbs	6 ft5	No	No	No	4	Pro & Farm	825,000$	82,500$	0$	No	825,000$	825,000$	825,000$	Lien
David Gustafsson	Marlies (Tor)	C	19	2000-04-11	Yes	194 Lbs	6 ft1	No	No	No	3	Pro & Farm	817,500$	81,750$	0$	No	817,500$	817,500$		Lien
Jason Garrison	Marlies (Tor)	D	34	1984-11-13	No	218 Lbs	6 ft1	No	No	No	1	Pro & Farm	3,000,001$	362,500$	0$	No				Lien
Kevin Connauton	Marlies (Tor)	D	29	1990-02-23	No	205 Lbs	6 ft2	No	Yes	No	3	Pro & Farm	1,500,000$	150,000$	0$	No	1,500,000$	1,500,000$		Lien
Lucas Johansen	Marlies (Tor)	D	21	1997-11-16	No	176 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	92,500$	0$	No	925,000$			Lien
Marian Gaborik (Contrat à 1 Volet)	Marlies (Tor)	LW/RW	37	1982-02-14	No	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,500,000$	3,166,667$	0$	No				Lien
Matt Read	Marlies (Tor)	LW/RW	33	1986-06-13	No	185 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,500,000$	312,500$	0$	No				Lien
Max Lagace	Marlies (Tor)	G	26	1993-01-11	No	190 Lbs	6 ft2	No	No	No	4	Pro & Farm	950,000$	95,000$	0$	No	950,000$	950,000$	950,000$	Lien
Nicholas Merkley	Marlies (Tor)	C/RW	22	1997-05-23	Yes	194 Lbs	5 ft10	No	No	No	1	Pro & Farm	895,000$	89,500$	0$	No				Lien
Nicolas Hague	Marlies (Tor)	D	20	1998-12-05	Yes	214 Lbs	6 ft6	No	No	No	4	Pro & Farm	791,668$	79,167$	0$	No	791,668$	791,668$	791,668$	Lien
Pontus Aberg	Marlies (Tor)	LW/RW	26	1993-09-22	No	196 Lbs	5 ft11	No	No	No	2	Pro & Farm	1,250,000$	125,000$	0$	No	1,250,000$			Lien
Scott Harrington	Marlies (Tor)	D	26	1993-03-10	No	207 Lbs	6 ft2	No	No	No	2	Pro & Farm	2,300,000$	230,000$	0$	No	2,300,000$			Lien
Shane Bowers	Marlies (Tor)	C	20	1999-07-30	Yes	187 Lbs	6 ft2	No	No	No	4	Pro & Farm	925,002$	92,500$	0$	No	925,002$	925,002$	925,002$	Lien
Spencer Foo	Marlies (Tor)	RW	25	1994-05-19	No	190 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	92,500$	0$	No	925,000$			Lien
Sven Andrighetto	Marlies (Tor)	LW/RW	26	1993-03-21	No	188 Lbs	5 ft10	No	No	No	1	Pro & Farm	825,000$	82,500$	0$	No				Lien
Timothy Gettinger	Marlies (Tor)	LW	21	1998-04-14	No	220 Lbs	6 ft6	No	No	No	3	Pro & Farm	770,000$	77,000$	0$	No	770,000$	770,000$		Lien
Valentin Zykov	Marlies (Tor)	LW/RW	24	1995-05-14	No	224 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,225,000$	122,500$	0$	No	1,225,000$			Lien
Victor Rask	Marlies (Tor)	C/LW/RW	26	1993-03-01	No	200 Lbs	6 ft2	No	No	No	1	Pro & Farm	2,183,546$	218,355$	0$	No				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	26.04	197 Lbs	6 ft1	2.15	1,299,047$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Pontus Aberg	Shane Bowers	Nicholas Merkley	40	1	2	2
2	Matt Read	Victor Rask	Valentin Zykov	30	1	2	2
3	Timothy Gettinger	David Gustafsson	Marian Gaborik	20	1	2	2
4	Brian Gibbons	Shane Bowers	Pontus Aberg	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kevin Connauton	Nicolas Hague	40	1	2	2
2	Alexey Marchenko	Chad Ruhwedel	30	1	2	2
3	Scott Harrington	Alex Petrovic	20	1	2	2
4	Kevin Connauton	Chad Ruhwedel	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Pontus Aberg	Timothy Gettinger	Nicholas Merkley	60	1	2	2
2	Matt Read	Victor Rask	Valentin Zykov	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kevin Connauton	Alex Petrovic	60	1	2	2
2	Scott Harrington	Chad Ruhwedel	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Victor Rask	Pontus Aberg	60	1	2	2
2	Nicholas Merkley	Matt Read	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kevin Connauton	Scott Harrington	60	1	2	2
2	Alex Petrovic	Chad Ruhwedel	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Nicholas Merkley	60	1	2	2	Kevin Connauton	Scott Harrington	60	1	2	2
2	Pontus Aberg	40	1	2	2	Alex Petrovic	Chad Ruhwedel	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Brian Gibbons	Pontus Aberg	60	1	2	2
2	Nicholas Merkley	Matt Read	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kevin Connauton	Alex Petrovic	60	1	2	2
2	Scott Harrington	Chad Ruhwedel	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Pontus Aberg	Matt Read	Nicholas Merkley	Kevin Connauton	Chad Ruhwedel

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Pontus Aberg	Matt Read	Nicholas Merkley	Kevin Connauton	Chad Ruhwedel

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
David Gustafsson, Timothy Gettinger, Brian Gibbons	David Gustafsson, Timothy Gettinger	Brian Gibbons

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Scott Harrington, Alex Petrovic, Kevin Connauton	Scott Harrington	Alex Petrovic, Kevin Connauton

Tirs de Pénalité
David Gustafsson, Pontus Aberg, Nicholas Merkley, Matt Read, Victor Rask

Gardien
#1 : Alexandar Georgiev, #2 : Max Lagace

Lignes d'Attaque Perso. en Prol.
Marian Gaborik, Pontus Aberg, Nicholas Merkley, Matt Read, Victor Rask, Timothy Gettinger, Timothy Gettinger, Brian Gibbons, David Gustafsson, Valentin Zykov, Shane Bowers

Lignes de Défense Perso. en Prol.
Nicolas Hague, Kevin Connauton, Chad Ruhwedel, Scott Harrington, Alex Petrovic

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	Admirals	2	0	1	0	0	0	1	0	4	5	-1	1	0	0	0	0	0	1	0	2	1	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	4	5	9	0	0	111	114	80	16	74	1031	1106	1033	78	53	23	4	56	6	2	33.33%	2	0	100.00%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
2	Baby Hawks	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	0	2	-2	2	0.500	5	9	14	1	0	111	114	80	16	59	1031	1106	1033	78	61	19	8	40	9	1	11.11%	4	1	75.00%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
3	Bears	3	1	2	0	0	0	0	0	7	9	-2	1	0	1	0	0	0	0	0	3	5	-2	2	1	1	0	0	0	0	0	4	4	0	2	0.333	7	14	21	0	0	111	114	80	16	103	1031	1106	1033	78	92	34	33	45	19	4	21.05%	14	1	92.86%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
4	Bruins	4	3	1	0	0	0	0	0	15	10	5	2	2	0	0	0	0	0	0	9	5	4	2	1	1	0	0	0	0	0	6	5	1	6	0.750	15	28	43	0	0	111	114	80	16	158	1031	1106	1033	78	108	24	24	85	17	2	11.76%	12	3	75.00%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
5	Cabaret Lady Mary Ann	4	4	0	0	0	0	0	0	29	12	17	2	2	0	0	0	0	0	0	15	6	9	2	2	0	0	0	0	0	0	14	6	8	8	1.000	29	50	79	0	0	111	114	80	16	302	1031	1106	1033	78	130	29	24	121	11	6	54.55%	12	2	83.33%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
6	Caroline	3	2	0	0	0	0	1	0	13	9	4	2	1	0	0	0	0	1	0	8	6	2	1	1	0	0	0	0	0	0	5	3	2	6	1.000	13	22	35	0	0	111	114	80	16	90	1031	1106	1033	78	103	30	32	54	8	0	0.00%	11	2	81.82%	1	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
7	Chiefs	2	1	1	0	0	0	0	0	4	4	0	1	1	0	0	0	0	0	0	3	0	3	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	4	6	10	0	1	111	114	80	16	56	1031	1106	1033	78	50	11	13	56	9	3	33.33%	4	0	100.00%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
8	Chill	2	0	1	0	0	0	1	0	7	8	-1	1	0	1	0	0	0	0	0	2	4	-2	1	0	0	0	0	0	1	0	5	4	1	2	0.500	7	11	18	0	0	111	114	80	16	68	1031	1106	1033	78	83	18	6	61	7	2	28.57%	3	1	66.67%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
9	Comets	2	1	0	0	1	0	0	0	10	6	4	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	1	0	0	0	6	5	1	4	1.000	10	16	26	0	0	111	114	80	16	88	1031	1106	1033	78	85	27	18	44	9	3	33.33%	9	3	66.67%	1	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
10	Cougars	4	2	2	0	0	0	0	0	8	11	-3	2	2	0	0	0	0	0	0	4	2	2	2	0	2	0	0	0	0	0	4	9	-5	4	0.500	8	16	24	1	0	111	114	80	16	126	1031	1106	1033	78	140	40	24	86	16	3	18.75%	12	1	91.67%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
11	Crunch	4	4	0	0	0	0	0	0	14	9	5	2	2	0	0	0	0	0	0	6	3	3	2	2	0	0	0	0	0	0	8	6	2	8	1.000	14	26	40	0	0	111	114	80	16	163	1031	1106	1033	78	159	58	24	122	8	2	25.00%	10	0	100.00%	2	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
12	Heat	2	1	0	0	0	0	1	0	9	4	5	1	0	0	0	0	0	1	0	4	3	1	1	1	0	0	0	0	0	0	5	1	4	4	1.000	9	16	25	0	0	111	114	80	16	82	1031	1106	1033	78	71	20	18	48	6	1	16.67%	8	1	87.50%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
13	Jayhawks	2	1	0	0	0	0	1	0	12	8	4	1	1	0	0	0	0	0	0	6	3	3	1	0	0	0	0	0	1	0	6	5	1	4	1.000	12	20	32	0	0	111	114	80	16	97	1031	1106	1033	78	90	24	18	52	5	2	40.00%	8	3	62.50%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
14	Las Vegas	2	0	0	0	0	1	1	0	6	6	0	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	6	10	16	0	0	111	114	80	16	68	1031	1106	1033	78	61	13	14	49	11	1	9.09%	6	2	66.67%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
15	Manchots	3	1	2	0	0	0	0	0	9	11	-2	1	0	1	0	0	0	0	0	1	3	-2	2	1	1	0	0	0	0	0	8	8	0	2	0.333	9	16	25	0	0	111	114	80	16	109	1031	1106	1033	78	111	20	22	73	4	0	0.00%	11	3	72.73%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
16	Minnesota	2	2	0	0	0	0	0	0	11	1	10	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	7	1	6	4	1.000	11	21	32	0	1	111	114	80	16	105	1031	1106	1033	78	59	20	10	43	4	2	50.00%	5	0	100.00%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
17	Monarchs	2	0	0	0	1	0	0	1	8	8	0	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	1	0	0	0	5	4	1	3	0.750	8	13	21	0	0	111	114	80	16	76	1031	1106	1033	78	78	29	12	56	5	2	40.00%	6	0	100.00%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
18	Monsters	3	2	1	0	0	0	0	0	14	9	5	2	1	1	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	5	2	3	4	0.667	14	24	38	0	0	111	114	80	16	145	1031	1106	1033	78	84	21	23	72	10	3	30.00%	9	3	66.67%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
19	Monsters	2	1	0	0	0	0	0	1	6	6	0	1	0	0	0	0	0	0	1	1	2	-1	1	1	0	0	0	0	0	0	5	4	1	3	0.750	6	12	18	0	0	111	114	80	16	53	1031	1106	1033	78	91	24	20	38	3	0	0.00%	10	1	90.00%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
20	Oceanics	2	1	0	0	0	1	0	0	7	7	0	1	0	0	0	0	1	0	0	3	4	-1	1	1	0	0	0	0	0	0	4	3	1	3	0.750	7	14	21	0	0	111	114	80	16	66	1031	1106	1033	78	72	16	12	47	8	1	12.50%	6	1	83.33%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
21	Oil Kings	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	7	13	20	0	0	111	114	80	16	66	1031	1106	1033	78	66	19	21	38	7	1	14.29%	8	1	87.50%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
22	Phantoms	3	2	0	0	0	0	1	0	9	5	4	1	1	0	0	0	0	0	0	3	2	1	2	1	0	0	0	0	1	0	6	3	3	6	1.000	9	14	23	0	1	111	114	80	16	106	1031	1106	1033	78	98	24	20	48	14	4	28.57%	8	1	87.50%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
23	Rocket	4	3	0	0	0	1	0	0	16	8	8	2	2	0	0	0	0	0	0	8	3	5	2	1	0	0	0	1	0	0	8	5	3	7	0.875	16	29	45	0	0	111	114	80	16	170	1031	1106	1033	78	134	38	34	90	19	4	21.05%	12	1	91.67%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
24	Senators	4	2	2	0	0	0	0	0	13	12	1	2	2	0	0	0	0	0	0	9	2	7	2	0	2	0	0	0	0	0	4	10	-6	4	0.500	13	23	36	0	0	111	114	80	16	132	1031	1106	1033	78	135	41	31	89	14	1	7.14%	12	2	83.33%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
25	Sharks	2	1	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	3	2	1	2	0.500	5	9	14	0	0	111	114	80	16	66	1031	1106	1033	78	68	22	10	50	5	1	20.00%	5	0	100.00%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
26	Sound Tigers	3	3	0	0	0	0	0	0	14	4	10	2	2	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	5	2	3	6	1.000	14	27	41	0	1	111	114	80	16	112	1031	1106	1033	78	86	33	17	57	5	0	0.00%	6	0	100.00%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
27	Spiders	3	3	0	0	0	0	0	0	12	6	6	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	3	2	1	6	1.000	12	20	32	0	0	111	114	80	16	118	1031	1106	1033	78	102	32	14	83	13	3	23.08%	7	2	71.43%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
28	Stars	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	11	18	0	0	111	114	80	16	71	1031	1106	1033	78	54	15	6	59	4	0	0.00%	3	1	66.67%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
29	Thunder	4	3	0	0	1	0	0	0	15	8	7	2	1	0	0	1	0	0	0	8	3	5	2	2	0	0	0	0	0	0	7	5	2	8	1.000	15	28	43	0	0	111	114	80	16	139	1031	1106	1033	78	114	34	20	67	5	0	0.00%	10	0	100.00%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
	Total	82	51	16	0	3	3	7	2	315	211	104	41	28	5	0	1	1	4	2	156	89	67	41	23	11	0	2	2	3	0	159	122	37	127	0.774	315	558	873	2	4	111	114	80	16	3211	1031	1106	1033	78	2728	784	546	1895	271	59	21.77%	240	36	85.00%	4	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
30	Wolf Pack	3	3	0	0	0	0	0	0	19	4	15	1	1	0	0	0	0	0	0	5	1	4	2	2	0	0	0	0	0	0	14	3	11	6	1.000	19	35	54	0	0	111	114	80	16	143	1031	1106	1033	78	90	26	14	66	10	5	50.00%	7	0	100.00%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
	_Since Last GM Reset	82	51	16	0	3	3	7	2	315	211	104	41	28	5	0	1	1	4	2	156	89	67	41	23	11	0	2	2	3	0	159	122	37	127	0.774	315	558	873	2	4	111	114	80	16	3211	1031	1106	1033	78	2728	784	546	1895	271	59	21.77%	240	36	85.00%	4	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
	_Vs Conference	43	25	11	0	2	1	3	1	158	113	45	21	12	5	0	1	1	1	1	77	52	25	22	13	6	0	1	0	2	0	81	61	20	62	0.721	158	281	439	0	2	111	114	80	16	1615	1031	1106	1033	78	1374	397	262	955	142	30	21.13%	118	17	85.59%	0	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562
	_Vs Division	28	5	3	0	1	1	1	1	110	70	40	14	2	2	0	0	1	0	1	59	24	35	14	3	1	0	1	0	1	0	51	46	5	16	0.286	110	200	310	1	0	111	114	80	16	1190	1031	1106	1033	78	920	264	181	660	90	18	20.00%	80	9	88.75%	2	1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%	2110	1470	1797	585	1072	562

			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	127	W2	315	558	873	3211	2728	784	546	1895	2	4

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	51	16	3	3	7	2	315	211

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	28	5	1	1	4	2	156	89

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	23	11	2	2	3	0	159	122

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
7	3	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
271	59	21.77%	240	36	85.00%	4

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
1031	1106	1033	78	111	114	80	16

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
1614	2964	54.45%	1560	2875	54.26%	728	1318	55.24%

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
2110	1470	1797	585	1072	562

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 - 2020-10-22	1	Senators	1	Marlies	4	W			Sommaire du Match
3 - 2020-10-24	16	Marlies	5	Monsters	2	W			Sommaire du Match
4 - 2020-10-25	19	Rocket	1	Marlies	3	W			Sommaire du Match
6 - 2020-10-27	34	Chiefs	0	Marlies	3	W			Sommaire du Match
9 - 2020-10-30	47	Thunder	2	Marlies	3	W	X		Sommaire du Match
11 - 2020-11-01	67	Marlies	0	Cougars	3	L			Sommaire du Match
14 - 2020-11-04	85	Minnesota	0	Marlies	4	W			Sommaire du Match
15 - 2020-11-05	93	Marlies	4	Bears	2	W			Sommaire du Match
18 - 2020-11-08	116	Bruins	2	Marlies	5	W			Sommaire du Match
20 - 2020-11-10	129	Monsters	2	Marlies	5	W			Sommaire du Match
21 - 2020-11-11	133	Marlies	1	Bruins	4	L			Sommaire du Match
24 - 2020-11-14	156	Sharks	5	Marlies	2	L			Sommaire du Match
25 - 2020-11-15	163	Marlies	5	Rocket	1	W			Sommaire du Match
28 - 2020-11-18	180	Bears	5	Marlies	3	L			Sommaire du Match
32 - 2020-11-22	210	Marlies	4	Phantoms	3	W	X	X	Sommaire du Match
35 - 2020-11-25	228	Monarchs	4	Marlies	3	L	X	X	Sommaire du Match
37 - 2020-11-27	237	Las Vegas	3	Marlies	4	W	X	X	Sommaire du Match
39 - 2020-11-29	254	Phantoms	2	Marlies	3	W			Sommaire du Match
40 - 2020-11-30	267	Marlies	0	Baby Hawks	2	L			Sommaire du Match
43 - 2020-12-03	282	Marlies	5	Sound Tigers	2	W			Sommaire du Match
45 - 2020-12-05	294	Bruins	3	Marlies	4	W			Sommaire du Match
46 - 2020-12-06	308	Marlies	1	Manchots	4	L			Sommaire du Match
49 - 2020-12-09	329	Marlies	2	Las Vegas	3	L	X		Sommaire du Match
51 - 2020-12-11	343	Marlies	6	Jayhawks	5	W	X	X	Sommaire du Match
53 - 2020-12-13	351	Marlies	5	Monsters	4	W			Sommaire du Match
57 - 2020-12-17	379	Marlies	4	Cougars	6	L			Sommaire du Match
59 - 2020-12-19	396	Marlies	5	Crunch	4	W			Sommaire du Match
60 - 2020-12-20	406	Crunch	1	Marlies	3	W			Sommaire du Match
63 - 2020-12-23	428	Marlies	2	Phantoms	0	W			Sommaire du Match
64 - 2020-12-24	434	Monsters	2	Marlies	1	L	X	X	Sommaire du Match
67 - 2020-12-27	454	Marlies	1	Chiefs	4	L			Sommaire du Match
70 - 2020-12-30	481	Marlies	6	Comets	5	W	X		Sommaire du Match
72 - 2021-01-01	494	Marlies	5	Heat	1	W			Sommaire du Match
74 - 2021-01-03	506	Marlies	4	Oil Kings	5	L			Sommaire du Match
77 - 2021-01-06	525	Crunch	2	Marlies	3	W			Sommaire du Match
80 - 2021-01-09	550	Marlies	8	Wolf Pack	1	W			Sommaire du Match
81 - 2021-01-10	557	Cougars	1	Marlies	2	W			Sommaire du Match
83 - 2021-01-12	569	Caroline	3	Marlies	4	W			Sommaire du Match
87 - 2021-01-16	583	Marlies	3	Spiders	2	W			Sommaire du Match
88 - 2021-01-17	594	Wolf Pack	1	Marlies	5	W			Sommaire du Match
91 - 2021-01-20	616	Marlies	7	Minnesota	1	W			Sommaire du Match
93 - 2021-01-22	633	Marlies	4	Oceanics	3	W			Sommaire du Match
95 - 2021-01-24	646	Sound Tigers	0	Marlies	3	W			Sommaire du Match
97 - 2021-01-26	659	Oil Kings	2	Marlies	3	W			Sommaire du Match
99 - 2021-01-28	675	Oceanics	4	Marlies	3	L	X		Sommaire du Match
103 - 2021-02-01	707	Marlies	6	Cabaret Lady Mary Ann	3	W			Sommaire du Match
105 - 2021-02-03	715	Spiders	3	Marlies	5	W			Sommaire du Match
107 - 2021-02-05	728	Heat	3	Marlies	4	W	X	X	Sommaire du Match
109 - 2021-02-07	747	Baby Hawks	2	Marlies	5	W			Sommaire du Match
118 - 2021-02-16	770	Marlies	5	Chill	4	W	X	X	Sommaire du Match
120 - 2021-02-18	776	Marlies	3	Stars	2	W			Sommaire du Match
123 - 2021-02-21	796	Senators	1	Marlies	5	W			Sommaire du Match
125 - 2021-02-23	809	Cabaret Lady Mary Ann	2	Marlies	7	W			Sommaire du Match
127 - 2021-02-25	825	Marlies	6	Wolf Pack	2	W			Sommaire du Match
129 - 2021-02-27	839	Admirals	1	Marlies	2	W	X	X	Sommaire du Match
130 - 2021-02-28	846	Marlies	3	Rocket	4	L	X		Sommaire du Match
133 - 2021-03-03	867	Jayhawks	3	Marlies	6	W			Sommaire du Match
135 - 2021-03-05	881	Stars	1	Marlies	4	W			Sommaire du Match
137 - 2021-03-07	901	Marlies	3	Senators	6	L			Sommaire du Match
138 - 2021-03-08	913	Marlies	3	Crunch	2	W			Sommaire du Match
140 - 2021-03-10	921	Marlies	7	Manchots	4	W			Sommaire du Match
142 - 2021-03-12	933	Manchots	3	Marlies	1	L			Sommaire du Match
144 - 2021-03-14	951	Caroline	3	Marlies	4	W	X	X	Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
147 - 2021-03-17	970	Marlies	3	Thunder	2	W			Sommaire du Match
149 - 2021-03-19	987	Marlies	8	Cabaret Lady Mary Ann	3	W			Sommaire du Match
151 - 2021-03-21	1003	Comets	1	Marlies	4	W			Sommaire du Match
154 - 2021-03-24	1028	Marlies	3	Sharks	2	W			Sommaire du Match
156 - 2021-03-26	1041	Marlies	5	Monarchs	4	W	X		Sommaire du Match
157 - 2021-03-27	1048	Marlies	2	Admirals	4	L			Sommaire du Match
161 - 2021-03-31	1070	Thunder	1	Marlies	5	W			Sommaire du Match
163 - 2021-04-02	1083	Chill	4	Marlies	2	L			Sommaire du Match
165 - 2021-04-04	1101	Marlies	5	Bruins	1	W			Sommaire du Match
168 - 2021-04-07	1123	Spiders	1	Marlies	4	W			Sommaire du Match
170 - 2021-04-09	1137	Sound Tigers	2	Marlies	6	W			Sommaire du Match
172 - 2021-04-11	1155	Monsters	5	Marlies	4	L			Sommaire du Match
174 - 2021-04-13	1170	Cabaret Lady Mary Ann	4	Marlies	8	W			Sommaire du Match
176 - 2021-04-15	1185	Marlies	4	Thunder	3	W			Sommaire du Match
177 - 2021-04-16	1195	Marlies	5	Caroline	3	W			Sommaire du Match
179 - 2021-04-18	1209	Marlies	1	Senators	4	L			Sommaire du Match
182 - 2021-04-21	1231	Marlies	0	Bears	2	L			Sommaire du Match
184 - 2021-04-23	1242	Cougars	1	Marlies	2	W			Sommaire du Match
186 - 2021-04-25	1262	Rocket	2	Marlies	5	W			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	4000	2000
Prix des Billets	35	15
Assistance	157,729	78,158
Assistance PCT	96.18%	95.31%

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	5753 - 95.89%	163,241$	6,692,885$	6000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
3,488,410$	3,127,522$	3,372,522$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
18,132$	3,734,690$	26	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	16,815$	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